Select Publications

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


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