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 1-20 of 62 (Search time: 0.002 seconds).
Issue Date | Title | Sub-Title | Author(s) | Journal Name | Volume Number | Issue Number | Pages | |
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1 | 2012 | A bayesian approach to term structure modeling using heavy-tailed distributions | - | Abanto-Valle, Carlos Antonio ; Lachos, Victor H ; Ghosh, Pulak | Applied Stochastic Models in Business and industry | Vol.28 | Iss.5 | 430-447p. |
2 | 2016 | A bayesian quantile regression model for insurance company costs data | - | Shi, Peng ; Ghosh, Pulak ; Sriram, Karthik | Journal of The Royal Statistical Society. Series A: Statistics in Society | Vol.179 | Iss.1 | 177-202p. |
3 | 2011 | A bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event | - | Rizopoulos, Dimitris ; Ghosh, Pulak | Statistics in Medicine | Vol.30 | Iss.12 | 1366-1380p. |
4 | 2019 | A bayesian two-stage regression approach of analysing longitudinal outcomes with endogeneity and incompleteness | - | Bhuyan, Prajamitra ; Biswas, Jayabrata ; Ghosh, Pulak | Statistical Modelling | Vol.19 | Iss.2 | 157-173p. |
5 | 2015 | A comment on Christoffersen, Jacobs, and Ornthanalai (2012), “Dynamic jump intensities and risk premiums: Evidence from S&P 500 returns and options | - | Durham, Garland ; Geweke, John ; Ghosh, Pulak | Journal of Financial Economics | Vol.115 | Iss.1 | 210-214p. |
6 | 2013 | A generalized p-value approach for assessing noninferiority in a three-arm trial | - | Gamalo, Mark A ; Muthukumarana, Saman ; Ghosh, Pulak ; Tiwari, Ram C | Statistical Methods in Medical Research | Vol.22 | Iss.3 | 261-277p. |
7 | 2020 | A large-scale constrained joint modeling approach for predicting user activity, engagement, and churn with application to freemium mobile games | - | Banerjee, Trambak ; Mukherjee, Gourab ; Dutta, Shantanu ; Ghosh, Pulak | Journal of The American Statistical Association | Vol.115 | Iss.530 | 538-554p. |
8 | 2023 | A multiplicative structural nested mean model for zero-inflated outcomes | - | Yu, Miao ; Lu, Wenbin ; Yang, Shu ; Ghosh, Pulak | Biometrika | Vol.110 | Iss.2 | 519-536p. |
9 | 2013 | A nested dirichlet process analysis of cluster randomized trial data with application in geriatric care assessment | - | Ho, Man-Wai ; Tu, Wanzhu ; Ghosh, Pulak ; Tiwari, Ram C | Journal of The American Statistical Association | Vol.108 | Iss.501 | 48-68p. |
10 | 2014 | A non-parametric model of residual brand equity in hierarchical branding structures with application to US beer data | - | Voleti, Sudhir ; Ghosh, Pulak | Journal of The Royal Statistical Society. Series A: Statistics in Society | Vol.177 | Iss.1 | 135-152p. |
11 | 2013 | A robust approach to measure latent time-varying equity in hierarchical branding structures | - | Voleti, Sudhir ; Ghosh, Pulak | Quantitative Marketing and Economics | Vol.11 | Iss.3 | 289-319p. |
12 | 2022 | A semi-parametric Bayesian dynamic hurdle model with an application to the health and retirement study | - | Das, Kiranmoy ; Pareek, Bhuvanesh ; Brown, Sarah ; Ghosh, Pulak | Computational Statistics | Vol.37 | Iss.2 | 837-863p. |
13 | 2013 | A semiparametric bayesian approach for mark-recapture estimation | - | Muthukumarana, Saman ; Ghosh, Pulak | Model Assisted Statistics and Applications | Vol.8 | Iss.1 | 29-39p. |
14 | 2010 | A semiparametric bayesian approach to multivariate longitudinal data | - | Ghosh, Pulak ; Hanson, Timothy | Australian & New Zealand Journal Of Statistics | Vol.52 | Iss.3 | 275-288p. |
15 | 2010 | A semiparametric Bayesian approach to network modelling using Dirichlet process prior distributions | - | Ghosh, Pulak ; Gill, Paramjit ; Muthukumarana, Saman ; Swartz, Tim | Australian and New Zeland Journal of Statistics | Vol.52 | Iss.3 | 289-302p. |
16 | 2014 | A semiparametric bayesian approach to the analysis of financial time series with applications to value at risk estimation | - | Ausn, M. Concepcion ; Galeano, Pedro ; Ghosh, Pulak | European Journal of Operational Research | Vol.232 | Iss.2 | 350-358p. |
17 | 2013 | A spatial poisson hurdle model for exploring geographic variation in emergency department visits | - | Neelon, Brian ; Ghosh, Pulak ; Loebs, Patrick F. | Journal Of The Royal Statistical Society Series A-Statistics In Society | Vol.176 | Iss.2 | 389-413p. |
18 | 2011 | A stochastic model for assessing chlamydia trachomatis transmission risk by using longitudinal observational data | - | Tu, Wanzhu ; Ghosh, Pulak ; Katz, Barry P | Journal of The Royal Statistical Society. Series A: Statistics in Society | Vol.174 | Iss.4 | 975-989p. |
19 | 2017 | An approach to improve the predictive power of choice-based conjoint analysis | - | Voleti, Sudhir ; Srinivasan, V ; Ghosh, Pulak | International Journal of Research in Marketing | Vol.34 | Iss.2 | 325-335p. |
20 | 2015 | An interproduct competition model incorporating branding hierarchy and product similarities using store-level data | - | Voleti, Sudhir ; Kopalle, Praveen K ; Ghosh, Pulak | Management Science | Vol.61 | Iss.11 | 2720-2738p. |