Associate Professor Pierre   Lafaye de Micheaux
Associate Professor

Associate Professor Pierre Lafaye de Micheaux

Science
Sch of Mathematics & Statistic

  ⇥ More details on my Personal Web Page  

ABOUT ME

 

Biography

I have been an Associate Professor of Data Science and Statistics at the University of New South Wales since 2020. Previously, I was:

  • Senior Lecturer of Statistics at the University of New South Wales (2017-2019);
  • Professor of Statistics at ENSAI, the French National School of Statistics and Information Analysis (2015-2017);
  • Associate Professor of Statistics at Université de Montréal, Department of Mathematics and Statistics (2011-2016);
  • Assistant Professor of Statistics at Université de Montréal, Department of Mathematics and Statistics (2009-2011);
  • Assistant Professor of Statistics at Grenoble Alps University, Laboratory Jean Kuntzmann (2003-present);
  • Affiliate Researcher at Grenoble Neuroscience Institute, in the Functional and Metabolic Neuroimaging team (2007-2010).

Education

Training

  • Postdoctoral Fellow, Brain Imaging Center, McGill University, Canada, 2003.
  • Postdoctoral Fellow, Centre de Recherches Mathématiques (CRM), Canada, 2003.

RESEARCH

 

Research Goals

  • Develop statistical tools that are used inside and outside our community;
  • Use tools of Pure Mathematics to propose or improve new statistical methods;
  • Build computer packages that permit the widespread of these new methods;
  • Collaborate with researchers in Australia and Overseas.

Research in Detail

My main current research interests are in the four following inter-related topics.

  • Dependence Measures: We plan to devise novel and easy to use statistical methods for better analyses of dependencies between random elements of various types, with emphasis on big data. Challenges arising in the big 3V's-environment (Volume, Variety, Velocity) will be mainly addressed by taking advantage of results from complex analysis. We plan to develop a unifying methodology that relies on the complex-valued characteristic function, which will allow dependence between any number of random elements, even big, to be apprehended.
  • NeuroImaging Genetics: This new field of scientific research refers to the use of anatomical or physiological brain imaging technologies (fMRI, EEG, DTI) as phenotypic assays to evaluate genetic variation. I plan to develop new statistical methods, in close connection with neuroscientists (CHeBA, INSERM), to help to understand these very interesting problems.
  • Big Data and Internet of Things: We are now overwhelmed with data. Moreover, big data sets typically involve mathematical objects much richer than simple random variables, hence showing relationships of much more intricate nature. These data can come in multiple forms, or as streams in real-time. The latter is particularly true for data recorded using sensors attached to physical devices. When all these objects are connected together through the Internet, they form an Internet of Things (IoT). Recently, a tiny and affordable computer that can be equipped with many cheap and various sensors, the Raspberry Pi, has gained popularity. I plan to develop new computing tools to control the Pi and propose new statistical tools to analyse data acquired using this credit-card size computer.
  • Statistical Inference for Complex Random Vectors: Almost all current statistical modelling techniques are designed for real-valued data. Though, complex-valued random vectors are common in some important applications of big data. For instance, in functional magnetic resonance imaging (fMRI), the raw data returned by the scanner are complex numbers. For steam generator tubes in nuclear power plants, defects are periodically checked by means of complex Eddy-current probes measurements. It is thus important to build a complete theory of statistical inference for complex-valued random vectors.

Research Grants

  • UNSW Research Infrastructure Scheme (2020-2021);
  • NSERC individual competition discovery grant program (2014-2019);
  • Mitacs Accelerate Research Internships Program (2013);
  • NSERC Research Tools and Instruments Grants Program (principal investigator) (2013).

Current Student Projects (PostDoc, PhD and Honours)

  • Rianti Siswi Utami, Ph.D. student (2020-), joint supervision with Prof. J. Olivier.
  • Guillaume Boglioni-Beaulieu, Ph.D. student (2017-), joint supervision with Prof B. Avanzi and Prof B. Wong (from UNSW Business School).

Supervision Opportunities/Areas

I will be happy to supervise you in any specific areas in which you have an interest: both in theoretical/applied statistics, with any application you may have in mind (such as but not limited to: Big data, Neuroscience, Medicine, Internet of Things, etc.), and to develop computer software packages to promote your research. 

Advice for Prospective Students

I am looking to work with enjoyable, hard-working, passionate, and autonomous students.  Have a look at my Expertise, my Publication records, and my Personal web page to see the kind of things I have been interested in. Feel free to come and discuss any research related matter!

TEACHING & OUTREACH

 

Courses I Teach

Current

  • ZZSC5905: Statistical Inference for Data

Recent years

  • DATA3001: Data Sciences & Decisions in Practice, at UNSW Sydney
  • MATH3821: Statistical Modelling and Computing, at UNSW Sydney
  • MATH1041: Statistics for Life and Social Science, at UNSW Sydney
  • MATH5806: Applied Regression Analysis, at UNSW Sydney
  • MBDSTA02: Statistical Inference and Hypothesis testing, at ENSAI
  • R/Shiny:       Interactive Web Apps, at ENSAI
  • MBDINF14: Programming with Big Data in R using Distributed Memory, at ENSAI
  • STT1700:    Introductory Statistics, at Université de Montréal
  • STT2400:    Linear regression, at Université de Montréal
  • STT6415:    Regression Analysis, at Université de Montréal
  • STT2700:    Mathematical Statistics and Data Analysis, at Université de Montréal
  • STT6300:    Large Sample Techniques, at Université de Montréal

Professional affiliations and service positions

  • Editorial board, PratiqueR collection (French), Edition Diffusion Presse Sciences. 2013 - present.
  • Editorial Board, Journal of Statistical Software. 2017 - present

Consulting to Industry, Commerce, and Government

I have provided consulting and contract research activities for BNP Paribas (Deep Learning techniques to predict credit default); Olea Medical (prediction of recanalization after thrombolysis for patients with acute stroke); Danone Research (study of benefits of probiotic fermented milk); Minvasys (sample size computation for a clinical study on drug eluting stents); etc.

AWARDS & ACHIEVEMENTS

  •  Université de Montréal Faculty of Advanced Studies Provost Honor List (2003).

My Expertise

Asymptotics, Big Data, Biostatistics, Bootstrap, Complex random fields, Data Science, Developing R packages, Hypothesis testing theory, Independent Component Analysis, Linear regression methods, Model selection, Multiple testing, Multivariate statistics, Neuroscience, Reproducible research, Sample size determination, Stochastic processes, Teaching, Time series analysis.

Phone
02 9385 7029
Location
School of Mathematics and Statistics UNSW Sydney NSW 2052 The Red Centre Room 2050

Publications

  • Books | 2016
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux ; Drouilhet, R ; Liquet, B , 2016, Perangkat Lukan R - Dasar-dasar Pemrograman dan Analisis Statistika, University Sebalas Maret
    Books | 2015
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet, R ; Liquet, B ; Li, Q ; Pan, D ; Tang, N , 2015, R 软件及统计分析, Higher Education Press, China
    Books | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Micheaux PLD; Drouilhet R; Liquet B, 2014, The R Software Fundamentals of Programming and Statistical Analysis, Statistics and Computing Series, Springer Science & Business, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000344763400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'Analyse de variance élémentaire', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'Régression linéaire simple et multiple', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'Intervalles de confiance et tests d'hypothèses', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P, 2014, 'Variables aléatoires, lois et simulations: une meilleure compréhension grâce aux spécificités de R', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'Statistique descriptive', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'Mathématiques de base: calcul matriciel, intégration, optimisation', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'Maintenance des sessions', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'Programmation en R', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'Techniques pour tracer des courbes et des graphiques', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'R et sa documentation', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'Manipulation de données, fonctions', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'Importation-exportation et production de données', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Droulhet R; Liquet B, 2014, 'Les concepts de base, l'organisation des données', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet R; Liquet B, 2014, 'Quelques jeux de données et problématiques', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Book Chapters | 2014
    Associate Professor Pierre Lafaye de Micheaux
    lafaye de micheaux ; drouilhet R; liquet B, 2014, 'Présentation du logiciel R', in Le logiciel R Maîtriser le langage - Effectuer des analyses (bio)statistiques, Springer
    Books | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Drouilhet, R ; Liquet, B , 2014, Le logiciel R : Maîtriser le langage, effectuer des analyses (bio)statistiques, Springer Verlag France
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Programming in R', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 193 - 282, http://dx.doi.org/10.1007/978-1-4614-9020-3_8
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Managing Sessions', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 283 - 309, http://dx.doi.org/10.1007/978-1-4614-9020-3_9
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Data Manipulation, Functions', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 85 - 140, http://dx.doi.org/10.1007/978-1-4614-9020-3_5
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Importing, Exporting and Producing Data', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 63 - 83, http://dx.doi.org/10.1007/978-1-4614-9020-3_4
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Drawing Curves and Plots', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 151 - 192, http://dx.doi.org/10.1007/978-1-4614-9020-3_7
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'R and Its Documentation', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 141 - 150, http://dx.doi.org/10.1007/978-1-4614-9020-3_6
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Introducing R', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 3 - 27, http://dx.doi.org/10.1007/978-1-4614-9020-3_1
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Descriptive Statistics', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 339 - 380, http://dx.doi.org/10.1007/978-1-4614-9020-3_11
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Elementary Analysis of Variance', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 503 - 530, http://dx.doi.org/10.1007/978-1-4614-9020-3_15
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Basic Concepts and Data Organisation', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 37 - 61, http://dx.doi.org/10.1007/978-1-4614-9020-3_3
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'A Few Data Sets and Research Questions', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 29 - 33, http://dx.doi.org/10.1007/978-1-4614-9020-3_2
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'A Better Understanding of Random Variables, Distributions and Simulations Using R Specificities', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 381 - 415, http://dx.doi.org/10.1007/978-1-4614-9020-3_12
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Basic Mathematics: Matrix Operations, Integration and Optimization', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 313 - 337, http://dx.doi.org/10.1007/978-1-4614-9020-3_10
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Simple and Multiple Linear Regression', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 455 - 501, http://dx.doi.org/10.1007/978-1-4614-9020-3_14
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Confidence Intervals and Hypothesis Testing', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 417 - 453, http://dx.doi.org/10.1007/978-1-4614-9020-3_13
    Book Chapters | 2013
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Drouilhet R; Liquet B, 2013, 'Appendix: Installing R and R Packages', in R SOFTWARE: FUNDAMENTALS OF PROGRAMMING AND STATISTICAL ANALYSIS, edn. Statistics and Computing Series, SPRINGER, pp. 531 - 538, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000344763400017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Books | 2011
    Associate Professor Pierre Lafaye de Micheaux
    Micheaux PLD; Drouilhet R; Liquet B, 2011, Le logiciel R Maîtriser le langage - Effectuer des analyses statistiques, Springer Science & Business Media
  • Journal articles | 2021
    Associate Professor Pierre Lafaye de Micheaux
    Avanzi B; Boglioni Beaulieu G; Lafaye de Micheaux P; Ouimet F; Wong B, 2021, 'A counterexample to the existence of a general central limit theorem for pairwise independent identically distributed random variables', Journal of Mathematical Analysis and Applications, vol. 499, pp. 124982 - 124982, http://dx.doi.org/10.1016/j.jmaa.2021.124982
    Journal articles | 2020
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Mozharovskyi P; Vimond M, 2020, 'Depth for Curve Data and Applications', Journal of the American Statistical Association, http://dx.doi.org/10.1080/01621459.2020.1745815
    Journal articles | 2020
    Associate Professor Pierre Lafaye de Micheaux
    Geenens G; Lafaye de Micheaux P, 2020, 'The Hellinger Correlation', Journal of the American Statistical Association, pp. 1 - 15, http://dx.doi.org/10.1080/01621459.2020.1791132
    Journal articles | 2020
    Associate Professor Pierre Lafaye de Micheaux
    Duchesne P; Lafaye de Micheaux P; Tagne Tatsinkou JF, 2020, 'On strong consistency and asymptotic normality of one-step Gauss-Newton estimators in ARMA time series models', Statistics, http://dx.doi.org/10.1080/02331888.2020.1830095
    Journal articles | 2020
    Associate Professor Pierre Lafaye de Micheaux
    Ducharme GR; Lafaye de Micheaux P, 2020, 'A goodness-of-fit test for elliptical distributions with diagnostic capabilities', Journal of Multivariate Analysis, vol. 178, http://dx.doi.org/10.1016/j.jmva.2020.104602
    Journal articles | 2019
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye De Micheaux P; Liquet B; Sutton M, 2019, 'PLS for Big Data: A unified parallel algorithm for regularised group PLS', Statistics Surveys, vol. 13, pp. 119 - 149, http://dx.doi.org/10.1214/19-SS125
    Journal articles | 2018
    Associate Professor Pierre Lafaye de Micheaux
    Desgagné A; Lafaye de Micheaux P, 2018, 'A powerful and interpretable alternative to the Jarque–Bera test of normality based on 2nd-power skewness and kurtosis, using the Rao's score test on the APD family', Journal of Applied Statistics, vol. 45, pp. 2307 - 2327, http://dx.doi.org/10.1080/02664763.2017.1415311
    Journal articles | 2018
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Ouimet F, 2018, 'A uniform L1 law of large numbers for functions of i.i.d. random variables that are translated by a consistent estimator', Statistics and Probability Letters, vol. 142, pp. 109 - 117, http://dx.doi.org/10.1016/j.spl.2018.06.006
    Journal articles | 2017
    Associate Professor Pierre Lafaye de Micheaux
    Buré L; Boucher LM; Blumenkrantz M; Schob S; De Micheaux PL; Reinhold C; Gallix B, 2017, 'Can magnetic resonance spectroscopy differentiate malignant and benign causes of lymphadenopathy? An in-vitro approach', PLoS ONE, vol. 12, http://dx.doi.org/10.1371/journal.pone.0182169
    Journal articles | 2017
    Associate Professor Pierre Lafaye de Micheaux
    Fan Y; de Micheaux PL; Penev S; Salopek D, 2017, 'Multivariate nonparametric test of independence', Journal of Multivariate Analysis, vol. 153, pp. 189 - 210, http://dx.doi.org/10.1016/j.jmva.2016.09.014
    Journal articles | 2017
    Associate Professor Pierre Lafaye de Micheaux
    Micheaux PLD; Liquet B; Sutton M, 2017, 'A Unified Parallel Algorithm for Regularized Group PLS Scalable to Big Data', ArXiv, https://arxiv.org/abs/1702.07066
    Journal articles | 2016
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Tran VA, 2016, 'PoweR: A reproducible research tool to ease monte carlo power simulation studies for goodness-of-fit tests in R', Journal of Statistical Software, vol. 69, pp. 1 - 44, http://dx.doi.org/10.18637/jss.v069.i03
    Journal articles | 2016
    Associate Professor Pierre Lafaye de Micheaux
    Liquet B; De Micheaux PL; Hejblum BP; Thiébaut R, 2016, 'Group and sparse group partial least square approaches applied in genomics context', Bioinformatics, vol. 32, pp. 35 - 42, http://dx.doi.org/10.1093/bioinformatics/btv535
    Journal articles | 2016
    Associate Professor Pierre Lafaye de Micheaux
    Delorme P; de Micheaux PL; Liquet B; Riou J, 2016, 'Type-II generalized family-wise error rate formulas with application to sample size determination', Statistics in Medicine, vol. 35, pp. 2687 - 2714, http://dx.doi.org/10.1002/sim.6909
    Journal articles | 2016
    Associate Professor Pierre Lafaye de Micheaux
    Duchesne P; Lafaye De Micheaux P; Tagne Tatsinkou J, 2016, 'Estimating the mean and its effects on Neyman smooth tests of normality for ARMA models', Canadian Journal of Statistics, vol. 44, pp. 241 - 270, http://dx.doi.org/10.1002/cjs.11292
    Journal articles | 2016
    Associate Professor Pierre Lafaye de Micheaux
    Ducharme GR; Lafaye de Micheaux P; Marchina B, 2016, 'The complex multinormal distribution, quadratic forms in complex random vectors and an omnibus goodness-of-fit test for the complex normal distribution', Annals of the Institute of Statistical Mathematics, vol. 68, pp. 77 - 104, http://dx.doi.org/10.1007/s10463-014-0486-5
    Journal articles | 2016
    Associate Professor Pierre Lafaye de Micheaux
    Wen W; Thalamuthu A; Mather KA; Zhu W; Jiang J; De Micheaux PL; Wright MJ; Ames D; Sachdev PS, 2016, 'Distinct Genetic Influences on Cortical and Subcortical Brain Structures', Scientific Reports, vol. 6, pp. 32760 - 32760, http://dx.doi.org/10.1038/srep32760
    Journal articles | 2015
    Associate Professor Pierre Lafaye de Micheaux
    Bilodeau M; de Micheaux PL; Mahdi S, 2015, 'The R package groc for generalized regression on orthogonal components', Journal of Statistical Software, vol. 65, pp. 1 - 29, http://dx.doi.org/10.18637/jss.v065.i01
    Journal articles | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Haddadi A; Ledmani M; Gainier M; Hubert H; De Micheaux PL, 2014, 'Comparing the APACHE II, SOFA, LOD, and SAPS II scores in patients who have developed a nosocomial infection', Bangladesh Critical Care Journal, vol. 2, pp. 4 - 9, http://dx.doi.org/10.3329/bccj.v2i1.19949
    Journal articles | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye De Micheaux P; Liquet B; Marque S; Riou J, 2014, 'Power and sample size determination in clinical trials with multiple primary continuous correlated endpoints', Journal of Biopharmaceutical Statistics, vol. 24, pp. 378 - 397, http://dx.doi.org/10.1080/10543406.2013.860156
    Journal articles | 2013
    Associate Professor Pierre Lafaye de Micheaux
    Desgagné A; De Micheaux PL; Leblanc A, 2013, 'Test of normality against generalized exponential power alternatives', Communications in Statistics - Theory and Methods, vol. 42, pp. 164 - 190, http://dx.doi.org/10.1080/03610926.2011.577548
    Journal articles | 2013
    Associate Professor Pierre Lafaye de Micheaux
    Marteau P; Guyonnet D; Lafaye de Micheaux P; Gelu S, 2013, 'A randomized, double-blind, controlled study and pooled analysis of two identical trials of fermented milk containing probiotic Bifidobacterium lactis CNCM I-2494 in healthy women reporting minor digestive symptoms', Neurogastroenterology and Motility, vol. 25, http://dx.doi.org/10.1111/nmo.12078
    Journal articles | 2013
    Associate Professor Pierre Lafaye de Micheaux
    Nicoli F; Lafaye De Micheaux P; Girard N, 2013, 'Perfusion-weighted imaging-derived collateral flow index is a predictor of MCA M1 recanalization after IV thrombolysis', American Journal of Neuroradiology, vol. 34, pp. 107 - 114, http://dx.doi.org/10.3174/ajnr.A3174
    Journal articles | 2013
    Associate Professor Pierre Lafaye de Micheaux
    Duchesne P; Lafaye de Micheaux P, 2013, 'Distributions for residual autocovariances in parsimonious periodic vector autoregressive models with applications', Journal of Time Series Analysis, vol. 34, pp. 496 - 507, http://dx.doi.org/10.1111/jtsa.12026
    Journal articles | 2012
    Associate Professor Pierre Lafaye de Micheaux
    Micheaux PLD; Lemaire V, 2012, 'Sample Size Determination and Statistical Hypothesis Testing for Core Centration in Press Coated Tablets', Open Journal of Statistics, vol. 02, pp. 269 - 273, http://dx.doi.org/10.4236/ojs.2012.23032
    Journal articles | 2012
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Léger C, 2012, 'A law of the single logarithm for weighted sums of arrays applied to bootstrap model selection in regression', Statistics and Probability Letters, vol. 82, pp. 965 - 971, http://dx.doi.org/10.1016/j.spl.2012.01.018
    Journal articles | 2011
    Associate Professor Pierre Lafaye de Micheaux
    Bordier C; Dojat M; Micheaux PLD, 2011, 'Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package', Journal of Statistical Software, vol. 44, https://www.google.com.au/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=0ahUKEwiI15DwoMbVAhXEwbwKHac-BjUQFggyMAE&url=https://www.jstatsoft.org/article/view/v044i09/v44i09.pdf&usg=AFQjCNG
    Journal articles | 2011
    Associate Professor Pierre Lafaye de Micheaux
    Bordier C; Dojat M; de Micheaux PL, 2011, 'Temporal and spatial independent component analysis for fMRI data sets embedded in the analyzeFMRI R package', Journal of Statistical Software, vol. 44, pp. 1 - 24, http://dx.doi.org/10.18637/jss.v044.i09
    Journal articles | 2011
    Associate Professor Pierre Lafaye de Micheaux
    Tabelow K; Clayden JD; Lafaye de Micheaux P; Polzehl J; Schmid VJ; Whitcher B, 2011, 'Image analysis and statistical inference in neuroimaging with R', NeuroImage, vol. 55, pp. 1686 - 1693, http://dx.doi.org/10.1016/j.neuroimage.2011.01.013
    Journal articles | 2010
    Associate Professor Pierre Lafaye de Micheaux
    Duchesne P; Lafaye De Micheaux P, 2010, 'Computing the distribution of quadratic forms: Further comparisons between the Liu-Tang-Zhang approximation and exact methods', Computational Statistics and Data Analysis, vol. 54, pp. 858 - 862, http://dx.doi.org/10.1016/j.csda.2009.11.025
    Journal articles | 2009
    Associate Professor Pierre Lafaye de Micheaux
    Bilodeau M; Lafaye de Micheaux P, 2009, 'A-dependence statistics for mutual and serial independence of categorical variables', Journal of Statistical Planning and Inference, vol. 139, pp. 2407 - 2419, http://dx.doi.org/10.1016/j.jspi.2008.11.006
    Journal articles | 2009
    Associate Professor Pierre Lafaye de Micheaux
    de Micheaux PL; Liquet B, 2009, 'Understanding Convergence Concepts: A Visual-Minded and Graphical Simulation-Based Approach', AMERICAN STATISTICIAN, vol. 63, pp. 173 - 178, http://dx.doi.org/10.1198/tas.2009.0032
    Journal articles | 2009
    Associate Professor Pierre Lafaye de Micheaux
    De Micheaux PL; Liquet B, 2009, 'Convergenceconcepts: An R package to investigate various modes of convergence', R Journal, vol. 1, pp. 18 - 25, http://dx.doi.org/10.32614/rj-2009-011
    Journal articles | 2009
    Associate Professor Pierre Lafaye de Micheaux
    Coeurjolly JF; Drouilhet R; Lafaye de Micheaux P; Robineau JF, 2009, 'asympTest: A simple R package for classical parametric statistical tests and confidence intervals in large samples', R Journal, vol. 1, pp. 26 - 30, http://dx.doi.org/10.32614/rj-2009-015
    Journal articles | 2009
    Associate Professor Pierre Lafaye de Micheaux
    Coeurjolly J-F; Drouilhet R; Micheaux PLD; Robineau J-F, 2009, 'asympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem', ArXiv, https://www.researchgate.net/publication/23970418_asympTest_an_R_package_for_performing_parametric_statistical_tests_and_confidence_intervals_based_on_the_central_limit_theorem
    Journal articles | 2009
    Associate Professor Pierre Lafaye de Micheaux
    De Micheaux PL; Liquet B, 2009, 'Teacher's corner understanding convergence concepts: A visual-minded and graphical simulation-based approach', American Statistician, vol. 63, pp. 173 - 178, http://dx.doi.org/10.1198/tas.2009.0032
    Journal articles | 2008
    Associate Professor Pierre Lafaye de Micheaux
    Cenier T; Amat C; Litaudon P; Garcia S; Lafaye De Micheaux P; Liquet B; Roux S; Buonviso N, 2008, 'Odor vapor pressure and quality modulate local field potential oscillatory patterns in the olfactory bulb of the anesthetized rat', European Journal of Neuroscience, vol. 27, pp. 1432 - 1440, http://dx.doi.org/10.1111/j.1460-9568.2008.06123.x
    Journal articles | 2007
    Associate Professor Pierre Lafaye de Micheaux
    Dubois M; Lafaye De Micheaux P; Noë MP; Valdois S, 2007, 'Preorthographical constraints on visual word recognition: Evidence from a case study of developmental surface dyslexia', Cognitive Neuropsychology, vol. 24, pp. 623 - 660, http://dx.doi.org/10.1080/02643290701617330
    Journal articles | 2007
    Associate Professor Pierre Lafaye de Micheaux
    Beran R; Bilodeau M; Lafaye de Micheaux P, 2007, 'Nonparametric tests of independence between random vectors', Journal of Multivariate Analysis, vol. 98, pp. 1805 - 1824, http://dx.doi.org/10.1016/j.jmva.2007.01.009
    Journal articles | 2005
    Associate Professor Pierre Lafaye de Micheaux
    Bilodeau M; Lafaye de Micheaux P, 2005, 'A multivariate empirical characteristic function test of independence with normal marginals', Journal of Multivariate Analysis, vol. 95, pp. 345 - 369, http://dx.doi.org/10.1016/j.jmva.2004.08.011
    Journal articles | 2005
    Associate Professor Pierre Lafaye de Micheaux
    Bilodeau A; de Micheaux PL, 2005, 'A multivariate empirical characteristic function test of independence with normal marginals', JOURNAL OF MULTIVARIATE ANALYSIS, vol. 95, pp. 345 - 369, http://dx.doi.org/10.1016/j.jmva.2004.08.01
    Journal articles | 2004
    Associate Professor Pierre Lafaye de Micheaux
    Ducharme GR; De Micheaux PL, 2004, 'Goodness-of-fit tests of normality for the innovations in ARMA models', Journal of Time Series Analysis, vol. 25, pp. 373 - 395, http://dx.doi.org/10.1111/j.1467-9892.2004.01875.x
    Journal articles |
    Associate Professor Pierre Lafaye de Micheaux
    Avanzi B; Beaulieu GB; Micheaux PLD; Ouimet F; Wong B, 'A counterexample to the central limit theorem for pairwise independent random variables having a common arbitrary margin', J. Math. Anal. Appl. 499 (2021), no.1, 1-13, http://dx.doi.org/10.1016/j.jmaa.2021.124982
    Journal articles |
    Associate Professor Pierre Lafaye de Micheaux
    Micheaux PLD; Ouimet F, 'A study of seven asymmetric kernels for the estimation of cumulative distribution functions', , http://arxiv.org/abs/2011.14893v1
    Journal articles |
    Associate Professor Pierre Lafaye de Micheaux
    Achard S; Coeurjolly J-F; Micheaux PLD; Richiardi J, 'Robust correlation for aggregated data with spatial characteristics', , http://arxiv.org/abs/2011.08269v1
    Journal articles |
    Associate Professor Pierre Lafaye de Micheaux
    Henze N; Micheaux PLD; Meintanis SG, 'Tests for circular symmetry of complex-valued random vectors', , http://arxiv.org/abs/2009.09216v2
    Journal articles |
    Associate Professor Pierre Lafaye de Micheaux
    Desgagné A; Micheaux PLD; Ouimet F, 'A comprehensive empirical power comparison of univariate goodness-of-fit tests for the Laplace distribution', , http://arxiv.org/abs/2007.06154v2
    Journal articles |
    Associate Professor Pierre Lafaye de Micheaux
    Desgagné A; Micheaux PLD; Ouimet F, 'Asymptotic law of a modified score statistic for the asymmetric power distribution with unknown location and scale parameters', Asymptotic law of a modified score statistic for the asymmetric power distribution with unknown location and scale parameters, http://arxiv.org/abs/1809.02852v1
    Journal articles |
    Associate Professor Pierre Lafaye de Micheaux
    García-Portugués E; Micheaux PLD; Meintanis SG; Verdebout T, 'Nonparametric tests of independence for circular data based on trigonometric moments', , http://arxiv.org/abs/2104.14620v1
  • Working Papers | 2020
    Associate Professor Pierre Lafaye de Micheaux
    Avanzi B; Boglioni Beaulieu G; Lafaye de Micheaux P; Ouimet F; Wong B, 2020, A counterexample to the central limit theorem for pairwise independent random variables having a common arbitrary margin, http://dx.doi.org, http://arxiv.org/abs/2003.01350
    Conference Papers | 2020
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye De Micheaux P; Meintanis S; Verdebout T, 2020, 'Tests for Independence Involving Spherical Data', in Springer Proceedings in Mathematics and Statistics, pp. 295 - 304, http://dx.doi.org/10.1007/978-3-030-57306-5_27
    Working Papers | 2018
    Associate Professor Pierre Lafaye de Micheaux
    Geenens G; Lafaye de Micheaux P, 2018, The Hellinger Correlation, http://dx.doi.org
    Conference Abstracts | 2014
    Associate Professor Pierre Lafaye de Micheaux
    Lafaye de Micheaux P; Liquet B; Sachdev PS; Thalamuthu A; Wen W, 2014, 'New statistical tools to study heritability of the brain', in Proceedings of the Australian Statistical Conference in conjunction with the Institute of Mathematical Statistics Annual Meeting 2014, Australian Statistical Conference in conjunction with the Institute of Mathematical Statistics Annual Meeting 2014, Sydney, Australia, presented at Australian Statistical Conference in conjunction with the Institute of Mathematical Statistics Annual Meeting 2014, Sydney, Australia, 07 July 2014 - 10 July 2014

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