Dr Clara   Grazian
Senior Lecturer

Dr Clara Grazian

PhD in Mathematical Statistics (2016) - Université Paris-Dauphine and Sapienza Università di Roma

Master 2 in Mathematical Statistics (2011) - Université Paris-Dauphine

Master in Statistical Sciences (2012) - Sapienza Università di Roma

Bachelor in Statistical Sciences (2012) - Università degli Studi di Torino

Science
Sch of Mathematics & Statistic

Clara Grazian received a joint PhD in 2016 from Université Paris-Dauphine under the supervision of Prof. Christian Robert and from Sapienza Università di Roma under the supervision of Prof. Brunero Liseo.

Her research interests include: Bayesian statistics, mixture models, spatio-temporal modelling and copula models and variable selection, with applications in climatology, epidemiology, psychology and genetics.

Before joining UNSW, she was Postdoctoral Fellow at the University of Oxford, working on understanding genomic mechanisms conferring resistance to tuberculosis and at the Università degli Studi "Gabriele d'Annunzio" working on understanding the effect of pollution on human health.
 

Location
Red Centre - Room 2056

Publications

  • Book Chapters | 2019
    Dr Clara Grazian
    Grazian C; Rousseau J; Lee K, 2019, 'Bayesian mixture models: theory and method', in Frühwirth-Schnatter S; Celeux G; Robert C (ed.), Handbook of Mixture Analysis, CRC-Press
    Book Chapters | 2018
    Dr Clara Grazian
    Grazian C; Drovandi C; Mengersen K; Robert C, 2018, 'Approximating the Likelihood in Approximate Bayesian Computation', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation
    Book Chapters | 2014
    Dr Clara Grazian
    Grazian C, 2014, 'Approximate Bayesian Computation for the Elimination of Nuisance Parameters', in The Contribution of Young Researchers to Bayesian Statistics, Springer International Publishing, pp. 67 - 71, http://dx.doi.org/10.1007/978-3-319-02084-6_13
  • Journal articles | 2021
    Dr Clara Grazian
    Fan Y; Emvalomenos G; Grazian C; Meikle SR, 2021, 'PET-ABC: Fully Bayesian likelihood-free inference for kinetic models', Physics in Medicine and Biology, vol. 66, http://dx.doi.org/10.1088/1361-6560/abfa37
    Journal articles | 2020
    Dr Clara Grazian
    Kouchaki S; Yang Y; Lachapelle A; Walker T; Walker SA; Hoosdally S; Gibertoni Cruz AL; Carter J; Grazian C; Earle SG; Fowler P; Iqbal Z; Hunt M; Knaggs J; Smith GE; Rathod P; Jarrett L; Matias D; Cirillo DM; Borroni E; Battaglia S; Ghodousi A; Spitaler A; Cabibbe A; Tahseen S; Nilgiriwala K; Shah S; Rodrigues C; Kambli P; Surve U; Khot R; Niemann S; Merker M; Hoffmann H; Todt K; Plesnik S; Ismail N; Omar SV; Joseph L; Thwaites G; Thuong TNT; Ngoc NH; Srinivasan V; Moore D; Coronel J; Solano W; Gao GF; He G; Zhao Y; Liu C; Ma A; Zhu B; Laurenson I; Claxton P; Koch A; Wilkinson R; Lalvani A; Posey J; Gardy J; Werngren J; Paton N; Jou R; Wu MH; Lin WH; Ferrazoli L; Siqueira de Oliveira R; Arandjelovic I; Chaiprasert A; Comas I; Roig CR; Drobniewski FA; Farhat MR; Gao Q; Hee ROT; Sintchenko V; Supply P; van Soolingen D; Peto TEA; Crook D; Clifton D, 2020, 'Multi-Label Random Forest Model for Tuberculosis Drug Resistance Classification and Mutation Ranking', Frontiers in Microbiology, http://dx.doi.org/10.3389/fmicb.2020.00667
    Journal articles | 2020
    Dr Clara Grazian
    Wilson D; Crook DW; Peto TEA; Walker AS; Hoosdally SJ; Gibertoni Cruz AL; Carter J; Grazian C; Earle SG; Kouchaki S; Lachapelle A; Yang Y; Clifton DA; Fowler PW; Iqbal Z; Hunt M; Knaggs J; Smith EG; Rathod P; Jarrett L; Matias D; Cirillo DM; Borroni E; Battaglia S; Ghodousi A; Spitaleri A; Cabibbe A; Tahseen S; Nilgiriwala K; Shah S; Rodrigues C; Kambli P; Surve U; Khot R; NIemann S; Kohl TA; Merker M; Hoffman H; Todt K; Plesnik S; Ismail N; Omar SV; Joseph L; Thwaites G; Thoung TNT; Ngoc NH; Srinivasan V; Walker TM; Moore D; Coronel J; Solano W; Gao GF; He G; Zhao Y; Liu C; Ma A; Zhu B; Laurenson I; Claxton P; Koch A; Wilkinson R; Lalvani A; Posey J; Gardy J; Werngren J; Paton N; Jou R; Wu MH; Lin WH; Ferrazoli L; Siqueira de Oliveira R; Arandjelovic I; Chaipresert A; Comas I; Roig CJ; Drobniewski FA; Farhat MR; Gao Q; Hee ROT; Sintchenko V, 2020, 'GenomegaMap: within-species genome-wide d_N/d_S estimation from over 10,000 genomes', Molecular Biology and Evolution, http://dx.doi.org/10.1093/molbev/msaa069
    Journal articles | 2020
    Dr Clara Grazian
    Grazian C; Villa C; Liseo B, 2020, 'On a loss-based prior for the number of components in mixture models', Statistics and Probability Letters, vol. 158, http://dx.doi.org/10.1016/j.spl.2019.108656
    Journal articles | 2019
    Dr Clara Grazian
    Lo Presti A; Neri A; Fazio C; Vacca P; Ambrosio L; Grazian C; Liseo B; Rezza G; Maiden MCJ; Stefanelli P, 2019, 'Reconstruction of Dispersal Patterns of Hypervirulent Meningococcal Strains of Serogroup C:cc11 by Phylogenomic Time Trees', Journal of clinical microbiology, vol. 58, http://dx.doi.org/10.1128/JCM.01351-19
    Journal articles | 2019
    Dr Clara Grazian
    Grazian C; Fan Y, 2019, 'A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models', WIREs Computational Statistics, vol. e1486, http://dx.doi.org/10.1002/wics.1486
    Journal articles | 2019
    Dr Clara Grazian
    Yang Y; Walker TM; Walker AS; Wilson DJ; Peto TEA; Crook DW; Shamout F; Zhu T; Clifton DA; Arandjelovic I; Comas I; Farhat MR; Gao Q; Sintchenko V; Soolingen D; Hoosdally S; Cruz ALG; Carter J; Grazian C; Earle SG; Kouchaki S; Fowler PW; Iqbal Z; Hunt M; Smith EG; Rathod P; Jarrett L; Matias D; Cirillo DM; Borroni E; Battaglia S; Ghodousi A; Spitaleri A; Cabibbe A; Tahseen S; Nilgiriwala K; Shah S; Rodrigues C; Kambli P; Surve U; Khot R; Niemann S; Kohl T; Merker M; Hoffmann H; Molodtsov N; Plesnik S; Ismail N; Omar SV; Thwaites G; Thuong TNT; Ngoc NH; Srinivasan V; Moore D; Coronel J; Solano W; Gao GF; He G; Zhao Y; Ma A; Liu C; Zhu B; Laurenson I; Claxton P; Koch A; Wilkinson R; Lalvani A; Posey J; Gardy J; Werngren J; Paton N; Jou R; Wu MH; Lin WH; Ferrazoli L; de Oliveira RS, 2019, 'DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis', Bioinformatics, vol. 35, pp. 3240 - 3249, http://dx.doi.org/10.1093/bioinformatics/btz067
    Journal articles | 2019
    Dr Clara Grazian
    Kouchaki S; Yang YY; Walker TM; Walker AS; Wilson DJ; Peto TEA; Crook DW; Clifton DA; Hoosdally SJ; Gibertoni Cruz AL; Carter J; Grazian C; Walker TM; Fowler PW; Clifton DA; Iqbal Z; Hunt M; Smith EG; Rathod P; Jarrett L; Matias D; Cirillo DM; Borroni E; Battaglia S; Ghodousi A; Spitaleri A; Cabibbe A; Tahseen S; Nilgiriwala K; Shah S; Rodrigues C; Kambli P; Surve U; Khot R; Niemann S; Kohl T; Merker M; Hoffmann H; Molodtsov N; Plesnik S; Ismail N; Omar SV; Joseph L; Marubini E; Thwaites G; Thuong TNT; Ngoc NH; Srinivasan V; Moore D; Coronel J; Solano W; Gao GF; He G; Zhao Y; Ma A; Liu C; Zhu B; Laurenson I; Claxton P; Wilkinson RJ; Lalvani A; Posey J; Gardy J; Werngren J; Paton N; Jou R; Wu MH; Lin WH; Ferrazoli L; De Oliveira RS; Arandjelovic I; Comas I; Drobniewski F; Gao Q; Sintchenko V; Supply P; Van Soolingen D, 2019, 'Application of machine learning techniques to tuberculosis drug resistance analysis', Bioinformatics, vol. 35, pp. 2276 - 2282, http://dx.doi.org/10.1093/bioinformatics/bty949
    Journal articles | 2019
    Dr Clara Grazian
    Mastrantonio G; Grazian C; Enrico B; Mancinelli S, 2019, 'New formulation of the Logistic normal process to analyze tracking trajectories', Annals of Applied Statistics, vol. 13, pp. 2483 - 2508, http://dx.doi.org/10.1214/19-AOAS1289
    Journal articles | 2019
    Dr Clara Grazian
    Fowler PW; Cruz ALG; Hoosdally SJ; Jarrett L; Borroni E; Chiacchiaretta M; Rathod P; Lehmann S; Molodtsov N; Grazian C; Walker TM; Robinson E; Hoffmann H; Peto TEA; Cirillo DM; Smith GE; Crook DW, 2019, 'Corrigendum: Automated detection of bacterial growth on 96- well plates for high-throughput drug susceptibility testing of mycobacterium tuberculosis (Microbiology, (2018) 164, (1522–1530), 10.1099/mic.0.000733)', Microbiology (United Kingdom), vol. 165, pp. 585 - 585, http://dx.doi.org/10.1099/mic.0.000795
    Journal articles | 2019
    Dr Clara Grazian
    Banterle M; Grazian C; Lee A; Robert CP, 2019, 'ACCELERATING METROPOLIS-HASTINGS ALGORITHMS BY DELAYED ACCEPTANCE', FOUNDATIONS OF DATA SCIENCE, vol. 1, pp. 103 - 128, http://dx.doi.org/10.3934/fods.2019005
    Journal articles | 2019
    Dr Clara Grazian
    Grazian C; Leisen F; Liseo B, 2019, 'Modelling preference data with the Wallenius distribution', Journal of the Royal Statistical Society. Series A: Statistics in Society, vol. 182, pp. 541 - 558, http://dx.doi.org/10.1111/rssa.12415
    Journal articles | 2019
    Dr Clara Grazian
    Grazian C, 2019, 'Estimating MIC distributions and cutoffs through mixture models: an application to establish M. Tuberculosis resistance', bioRxiv, http://dx.doi.org/10.1101/643429
    Journal articles | 2018
    Dr Clara Grazian
    Grazian C; Robert CP, 2018, 'Jeffreys priors for mixture estimation: Properties and alternatives', Computational Statistics and Data Analysis, vol. 121, pp. 149 - 163, http://dx.doi.org/10.1016/j.csda.2017.12.005
    Journal articles | 2018
    Dr Clara Grazian
    Rancoita PMV; Cugnata F; Gibertoni Cruz AL; Borroni E; Hoosdally SJ; Walker TM; Grazian C; Davies TJ; Peto TEA; Crook DW; Fowler PW; Cirillo DM, 2018, 'Validating a 14-drug microtiter plate containing bedaquiline and delamanid for large-scale research susceptibility testing of mycobacterium tuberculosis', Antimicrobial Agents and Chemotherapy, vol. 62, http://dx.doi.org/10.1128/AAC.00344-18
    Journal articles | 2018
    Dr Clara Grazian
    Fowler PW; Gibertoni Cruz AL; Hoosdally SJ; Jarrett L; Borroni E; Chiacchieretta M; Rathod P; Lahmann S; Moldtsov N; Grazian C; Walker TM; Robinson E; Hoffman H; Peto TEA; Cirillo DM; Smith EG; Crook DW, 2018, 'Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of Mycobacterium tuberculosis.', Microbiology, vol. 164, pp. 1522 - 1530, http://dx.doi.org/10.1099/mic.0.000733
    Journal articles | 2017
    Dr Clara Grazian
    Grazian C; Liseo B, 2017, 'Approximate Bayesian inference in semiparametric copula models', Bayesian Analysis, vol. 12, pp. 991 - 1016, http://dx.doi.org/10.1214/17-BA1080
    Journal articles | 2015
    Dr Clara Grazian
    Grazian C; Liseo B, 2015, 'Approximate Bayesian Computation for Copula Estimation', Statistica, vol. LXXV, pp. 19 - 35, http://dx.doi.org/10.6092/issn.1973-2201/5827
    Journal articles | 2015
    Dr Clara Grazian
    Grazian C; Liseo B, 2015, 'Approximate integrated likelihood via ABC methods', Statistics and its Interface, vol. 8, pp. 161 - 171, http://dx.doi.org/10.4310/SII.2015.v8.n2.a4
    Journal articles | 2015
    Dr Clara Grazian
    Grazian C; Masiani I; Robert CP, 2015, 'Comment on article by dawid and musio', Bayesian Analysis, vol. 10, pp. 511 - 515, http://dx.doi.org/10.1214/15-BA942C
  • Conference Papers | 2020
    Dr Clara Grazian
    Grazian C; Mastrantonio G; Bibbona E, 2020, 'A Time Clustering Model for Spatio-Temporal Data', Pisa, Italy, presented at XL Scientific Meeting of the Italian Statistical Society, Pisa, Italy, 22 June 2020, https://iris.uniroma1.it/retrieve/handle/11573/1462696/1611462/Petrella_Glasso-SIS_2020.pdf
    Conference Papers | 2020
    Dr Clara Grazian
    Valentini P; Ippoliti L; Grazian C, 2020, 'A Time Varying Coefficient Model to Estimate the Short-Term Effects of Air Pollution on Human Health', Pisa, Italy, presented at XL Scientific Meeting of the Italian Statistical Society, Pisa, Italy, 22 June 2020 - 24 June 2020
    Conference Papers | 2020
    Dr Clara Grazian
    Battagliese D; Grazian C; Liseo B; Villa C, 2020, 'Penalised Complexity priors for copulae', Bilbao, presented at 35th International Workshop on Statistical Modelling (IWSM 2020), Bilbao, 19 July 2020 - 24 June 2020
    Conference Papers | 2020
    Dr Clara Grazian
    Tangari G; Charalambides M; Tuncer D; Grazian C; Pavlou G, 2020, 'Classification-assisted Query Processing for Network Telemetry', Berlin, presented at Network Traffic Measurements and Analysis (TMA), Berlin, 08 June 2020 - 12 June 2020
    Conference Papers | 2019
    Dr Clara Grazian
    Lo Presti A; Neri A; Fazio C; Vacca P; Ambrosio L; Grazian C; Liseo B; Rezza G; Stefanelli P, 2019, 'Evaluation of the spatio-temporal origin of C:P!.5-1,10-8:F3-6:ST-11(cc11) meningococcal isolates in Italy through a Bayesian model', Amsterdam, presented at ECCMID 2019, Amsterdam, 13 April 2019 - 16 April 2019
    Conference Papers | 2018
    Dr Clara Grazian
    Grazian C; Mastrantonio G; Bibbona E, 2018, 'Introducing spatio-temporal dependence in clustering: from a parametric to a nonparametric approach', in Abruzzo A; Brentari E; Chiodi M; Piacentino D (eds.), Palermo, presented at XLIX Scientific Meeting of the Italian Statistical Society, Palermo, 20 June 2018 - 22 June 2018
    Conference Papers | 2017
    Dr Clara Grazian
    Grazian C; Liseo B, 2017, 'Approximate Bayesian methods for multivariate and conditional copulae', in Advances in Intelligent Systems and Computing, pp. 261 - 268, http://dx.doi.org/10.1007/978-3-319-42972-4_33
    Conference Papers | 2016
    Dr Clara Grazian
    Stefanelli P; Fazio C; Anselmo A; Vacca P; Ciammaruconi A; Ambrosio L; Fortunato A; Palozzi AM; Fillo S; Lista S; Liseo B; Grazian C; Neri A, 2016, 'Genetic relatedness of Neisseria meningitidis of serogroup C in Italy, 2012-2015', Manchester, presented at IPNC 2016, Manchester, 04 September 2016 - 06 September 2016
    Conference Papers | 2016
    Dr Clara Grazian
    Grazian C, 2016, 'Classical inference for intractable likelihoods', Salerno, presented at XLVIII Scientific Meeting of the Italian Statistical Society, Salerno, 08 June 2016 - 10 June 2016
    Conference Papers | 2015
    Dr Clara Grazian
    Grazian C; Robert CP, 2015, 'Jeffreys’ priors for mixture estimation', in Springer Proceedings in Mathematics and Statistics, pp. 37 - 48, http://dx.doi.org/10.1007/978-3-319-16238-6_4
    Conference Papers | 2014
    Dr Clara Grazian
    Grazian C, 2014, 'Approximate Bayesian computation for the elimination of nuisance parameters', in Springer Proceedings in Mathematics and Statistics, pp. 67 - 71, http://dx.doi.org/10.1007/978-3-319-02084-6__13
    Conference Papers | 2014
    Dr Clara Grazian
    Grazian C; Robert C, 2014, 'Jeffreys priors for mixture models', in Proceedings of the XLVII Scientific Meeting of the Italian Statistical Society, Cagliari, presented at XLVII Scientific Meeting of the Italian Statistical Society, Cagliari, 10 June 2014 - 14 June 2014
    Conference Papers | 2013
    Dr Clara Grazian
    Grazian C, 2013, 'Approximate Bayesian computation and applications', in Proceedings of S.Co. 2013, 9-11 September 2013, Milano, Italy., Milan, presented at S.Co. 2013, Milan, 09 September 2013 - 13 September 2013

Awards

Here are the received grants since 2015

2018 - Research Project of National Interest (Italian Ministry of Research and Education) - "Environmental processes and human activities: capturing their interactions via statistical methods", (principal investigator: Daniela Cocchi)

2017 - International Exchanges Scheme, The Royal Society - "High-dimensional Bayesian dependence modelling with conditional copulas" (with Luciana Dalla Valle, Julian Stander and Brunero Liseo)

2016 - Research Project of National Interest (Italian Ministry of Research and Education) - "Likelihood-free methods for inference" (principal investigator: Brunero Liseo)

2015 - International Exchanges Scheme, The Royal Society - "Empirical and Bootstrap Likelihood procedures for Approximate Bayesian Inference" (Fabrizio Leisen and Brunero Liseo)

 

 

Grants

January 2021 - June 2021: ACEMS Research Support Scheme (RSS), Research Project: "Exploiting composite likelihoods for likelihood-free problems." (14,588.32$), in collaboration with QUT. 

October 2020 - March 2021: ACEMS Industry Collaboration Support Scheme (ICSS), Research Project: "Developing Bayesian methods for modelling the dynamics of complex systems in sports: perfomance vs injuries" (20,000$), in collaboration with QUT. 

October 2020 - September 2021: Defence Innovation Network Scheme, Research Project: "Optimising ADF military working dog performance through next-generation monitoring systems" (175,000$), in collaboration with University of Sydney and Western Sydney University.

July 2020 - June 2021: Defence Science Partnering Deed - Schedule Research Agreement (Defence Science & Technology Group - DSTG), Research Project: "Knowledge Sythesis for Autonomous Analyst" (160,000$), in collaboration with UTS and University of Wollongong.

 

 

 

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