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Full Name
Ghosh, Pulak
Vernacular Name
Pulak Ghosh
 
Variants
Pulak Ghosh
 
 
 
Email
pulak.ghosh@iimb.ac.in
 
Scopus Author ID
Researcher ID
 
Biography
Pulak Ghosh is Professor in the Decision Sciences Area at IIMB. His key specializations are in intersection of Big data, Machine learning, Artificial Intelligence and its use in Economics, Finance, Policy and Social Value Creation. He did serve in the editorial board of Journal of the American statistical Association, Journal of the Royal statistical Society and currently serves in the editorial board of Biometrics. Based on his outstanding and innovative contribution to research, the International Indian Statistical Association awarded him with the ``Young Scientist Award” in 2011. Govt of India awarded him the prestigious CR Rao award in 2015 and Econometric Society awarded him the Mahalanobis Award in 2016. Prior to joining IIMB, he served as Associate Director, Novartis Pharmaceuticals, USA, Assistant Professor, Georgia State University, and Associate Professor at Emory University, USA. He is a visiting faculty at several institutes of international repute.
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Results 41-60 of 62 (Search time: 0.003 seconds).

Issue DateTitleSub-TitleAuthor(s)Journal NameVolume NumberIssue NumberPages
412011Joint modeling of longitudinal data and informative dropout time in the presence of multiple changepoints-Ghosh, Pulak ; Ghosh, Kaushik ; Tiwari, Ram C Statistics in MedicineVol.30Iss.6611-626p.
422010Likelihood based inference for skew-normal independent linear mixed models-Lachos, Victor H ; Ghosh, Pulak ; Arellano-Valle, R B Statistica SinicaVol.20Iss.1303-322p.
432014Linear mixed models for multiple outcomes using extended multivariate skew-t distributions-Yu, Binbing ; O’Malley, A. James ; Ghosh, Pulak Statistics And Its InterfaceVol.7Iss.1101-111p.
442010Linear mixed models for skew-normal/independent bivariate responses with an application to periodontal disease-Bandyopadhyay, Dipankar ; Lachos, Victor H. ; Ghosh, Pulak ; Abanto-Valle, Carlos Antonio Statistics In MedicineVol.29Iss.252643-2655p.
452022Measuring vaccine effectiveness from limited public health datasets: Framework and estimates from India’s second COVID wave-Mukherjee, Abhiroop ; Panayotov, George ; Sen, Rik ; Dutta, Harsha ; Ghosh, Pulak Science AdvancesVol.8Iss.18AN:eabn4274
462021Modeling multiple time-varying related groups: A dynamic hierarchical bayesian approach with an application to the health and retirement study-Das, Kiranmoy ; Ghosh, Pulak ; Daniels, Michael J Journal of the American Statistical AssociationVol.116Iss.534558-568p.
472015Modelling household finances: a bayesian approach to a multivariate two-part model-Brown, Sarah ; Ghosh, Pulak ; Su, Li ; Taylor, Karl Journal Of Empirical FinanceVol.33190-207p.
482011Modelling member behaviour in on-line user-generated content sites: a semiparametric bayesian approach-Park, Young-Hoon ; Park, Chang Hee ; Ghosh, Pulak Journal of The Royal Statistical Society. Series A: Statistics in SocietyVol.174Iss.41051-1069p.
492010Multivariate measurement error models based on scale mixtures of the skew-normal distribution-Lachos, V H ; Labra, F V ; Bolfarine, H ; Ghosh, Pulak StatisticsVol.44Iss.6541-556p.
502016On bayesian quantile regression using a pseudo-joint asymmetric laplace likelihood-Ghosh, Pulak ; Ramamoorthi, R V ; Sriram, Karthik Sankhya AVol.78Iss.187-104p.
512023On Learning and Testing of Counterfactual Fairness through Data Preprocessing-Chen, Haoyu ; Lu, Wenbin ; Song, Rui ; Ghosh, Pulak Journal of the American Statistical Association
522013Posterior consistency of bayesian quantile regression based on the misspecied asymmetric laplace density-Ramamoorthi, R V ; Ghosh, Pulak ; Sriram, Karthik Bayesian AnalysisVol.8Iss.2479-504p.
5328-Dec-2015Public provident fund: the unknown known-Ghosh, Pulak ; Ghosh, Soumya Kanti Business Standard
542012Sampling designs via a multivariate hypergeometric-dirichlet process model for a multi-species assemblage with unknown heterogeneity-Zhang, Hongmei ; Ghosh, Kaushik ; Ghosh, Pulak Computational Statistics and Data AnalysisVol.56Iss.82562-2573p.
552021Saving behaviour and health: A high-dimensional Bayesian analysis of British panel data-Brown, Sarah ; Ghosh, Pulak ; Gray, Daniel ; Pareek, Bhuvanesh ; Roberts, Jennifer European Journal Of FinanceVol.27Iss.161581-1603p.
562009Semi-parametric Bayesian approaches to joint-point regression for population bases cancer survival data-Ghosh, Pulak ; Huang, Lan ; Yu, Binbing ; Tiwari, Ram C Computational statistics and data analysisVol.53Iss.24073-4082p.
572013Skew-elliptical spatial random effect modeling for areal data with application to mapping health utilization rates-Nathoo, Farouk S ; Ghosh, Pulak Statistics in MedicineVol.32Iss.2290-306p.
582014The existence and persistence of household financial hardship: a bayesian multivariate dynamic logit framework-Ghosh, Pulak ; Taylor, Karl ; Brown, Sarah Journal Of Banking & FinanceVol.46285-298p.
592014The joint assessment of longitudinal multidimensional functionings in overweight and obese elderly with a time varying covariate-Hong, Hyokyoung Grace ; Roychoudhury, Satrajit ; Ghosh, Pulak Statistics And Its InterfaceVol.7Iss.2297-305p.
602021The protective role of saving: Bayesian analysis of British panel data-Brown, Sarah ; Ghosh, Pulak ; Pareek, Bhuvanesh ; Taylor, Karl Journal of Empirical FinanceVol.6357-72p.