Ghosh, Pulak
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Full Name
Ghosh, Pulak
Vernacular Name
Pulak Ghosh
Variants
Pulak Ghosh
Main Affiliation
Personal Site
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 Date | Title | Sub-Title | Author(s) | Journal Name | Volume Number | Issue Number | Pages | |
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41 | 2011 | Joint modeling of longitudinal data and informative dropout time in the presence of multiple changepoints | - | Ghosh, Pulak ; Ghosh, Kaushik ; Tiwari, Ram C | Statistics in Medicine | Vol.30 | Iss.6 | 611-626p. |
42 | 2010 | Likelihood based inference for skew-normal independent linear mixed models | - | Lachos, Victor H ; Ghosh, Pulak ; Arellano-Valle, R B | Statistica Sinica | Vol.20 | Iss.1 | 303-322p. |
43 | 2014 | Linear mixed models for multiple outcomes using extended multivariate skew-t distributions | - | Yu, Binbing ; O’Malley, A. James ; Ghosh, Pulak | Statistics And Its Interface | Vol.7 | Iss.1 | 101-111p. |
44 | 2010 | Linear 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 Medicine | Vol.29 | Iss.25 | 2643-2655p. |
45 | 2022 | Measuring 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 Advances | Vol.8 | Iss.18 | AN:eabn4274 |
46 | 2021 | Modeling 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 Association | Vol.116 | Iss.534 | 558-568p. |
47 | 2015 | Modelling household finances: a bayesian approach to a multivariate two-part model | - | Brown, Sarah ; Ghosh, Pulak ; Su, Li ; Taylor, Karl | Journal Of Empirical Finance | Vol.33 | 190-207p. | |
48 | 2011 | Modelling 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 Society | Vol.174 | Iss.4 | 1051-1069p. |
49 | 2010 | Multivariate measurement error models based on scale mixtures of the skew-normal distribution | - | Lachos, V H ; Labra, F V ; Bolfarine, H ; Ghosh, Pulak | Statistics | Vol.44 | Iss.6 | 541-556p. |
50 | 2016 | On bayesian quantile regression using a pseudo-joint asymmetric laplace likelihood | - | Ghosh, Pulak ; Ramamoorthi, R V ; Sriram, Karthik | Sankhya A | Vol.78 | Iss.1 | 87-104p. |
51 | 2023 | On Learning and Testing of Counterfactual Fairness through Data Preprocessing | - | Chen, Haoyu ; Lu, Wenbin ; Song, Rui ; Ghosh, Pulak | Journal of the American Statistical Association | |||
52 | 2013 | Posterior consistency of bayesian quantile regression based on the misspecied asymmetric laplace density | - | Ramamoorthi, R V ; Ghosh, Pulak ; Sriram, Karthik | Bayesian Analysis | Vol.8 | Iss.2 | 479-504p. |
53 | 28-Dec-2015 | Public provident fund: the unknown known | - | Ghosh, Pulak ; Ghosh, Soumya Kanti | Business Standard | |||
54 | 2012 | Sampling 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 Analysis | Vol.56 | Iss.8 | 2562-2573p. |
55 | 2021 | Saving 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 Finance | Vol.27 | Iss.16 | 1581-1603p. |
56 | 2009 | Semi-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 analysis | Vol.53 | Iss.2 | 4073-4082p. |
57 | 2013 | Skew-elliptical spatial random effect modeling for areal data with application to mapping health utilization rates | - | Nathoo, Farouk S ; Ghosh, Pulak | Statistics in Medicine | Vol.32 | Iss.2 | 290-306p. |
58 | 2014 | The existence and persistence of household financial hardship: a bayesian multivariate dynamic logit framework | - | Ghosh, Pulak ; Taylor, Karl ; Brown, Sarah | Journal Of Banking & Finance | Vol.46 | 285-298p. | |
59 | 2014 | The 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 Interface | Vol.7 | Iss.2 | 297-305p. |
60 | 2021 | The protective role of saving: Bayesian analysis of British panel data | - | Brown, Sarah ; Ghosh, Pulak ; Pareek, Bhuvanesh ; Taylor, Karl | Journal of Empirical Finance | Vol.63 | 57-72p. |