Select Publications

Book Chapters

Grazian C; Rousseau J; Lee K, 2019, 'Bayesian mixture models: theory and method', in Frühwirth-Schnatter S; Celeux G; Robert C (ed.), , CRC-Press

Grazian C; Drovandi C; Mengersen K; Robert C, 2018, 'Approximating the Likelihood in Approximate Bayesian Computation', in Sisson S; Fan Y; Beaumont M (ed.),

Journal articles

Grazian C, 2019, 'Estimating MIC distributions and cutoffs through mixture models: an application to establish M. Tuberculosis resistance', , http://dx.doi.org/10.1101/643429

Grazian C; Fan Y, 2019, 'A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models', WIREs Computational Statistics

Mastrantonio G; Grazian C; Enrico B; Mancinelli S, 2019, 'New formulation of the Logistic normal process to analyze tracking trajectories', Annals of Applied Statistics

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; van 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 NTT; Nhung HN; 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 M-H; Lin W-H; 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

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

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

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; 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

Banterle M; Grazian C; Lee A; P. Robert C, 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

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

Rancoita PMV; Cugnata F; Gibertoni Cruz AL; Borroni E; Hoosdally S; Walker T; Grazian C; Davies T; Peto TEA; Crook D; Fowler P; Cirillo DM; the CRyPTIC Consortium , 2018, 'Validating a 14-drug microtitre plate containing bedaquiline and delamanid for large-scale research susceptibility testing of Mycobacterium tuberculosis', , http://dx.doi.org/10.1101/244731

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


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