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.), Handbook of Mixture Analysis, 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.), Handbook of Approximate Bayesian Computation

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

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

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

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

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

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

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

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; 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

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

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

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

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

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

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

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; 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

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

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; 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

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; 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

Conference Papers

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

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

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

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

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

Preprints

Grazian C; Valle LD; Liseo B, 2021, Approximate Bayesian Conditional Copulas

Mastrantonio G; Grazian C; Mancinelli S; Bibbona E, 2018, New formulation of the Logistic-Gaussian process to analyze trajectory tracking data

Grazian C; Villa C; Liseo B, 2018, On a Loss-based prior for the number of components in mixture models

Grazian C; Leisen F; Liseo B, 2017, Modelling Preference Data with the Wallenius Distribution

Grazian C; Liseo B, 2015, Approximate Bayesian inference in semiparametric copula models

Grazian C; Liseo B, 2014, Approximate Integrated Likelihood via ABC methods


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