Paper by Professor Pulak Ghosh in Social Science Research Network (SSRN) Top Ten download list
Indian Institute of Management Bangalore (IIMB) Professor Pulak Ghosh's paper, co-authored with Sudhir Voleti (ISB, Hyderabad) and Paul Nelson (University of Rochester) "Estimation of Residual Equity in Hierarchical Branding Structures: A Nonparametric Approach on Aggregate Beer Category Data" , was recently listed on Social Science Research Network's (SSRN) Top Ten download list for ERN: Nonparametric Methodas (Topic).
The abstract can be viewed at http://papers.ssrn.com/abstract=1633230.
Pulak Ghosh is Associate Professor in Quantitative Methods & Information Systems area at IIMB. Professor Ghosh's key specializations are in various fields including Quantitative Finance, Econometrics, Social Network data, Political Science, Biostatistics, Bayesian Statistics, Multivariate Longitudinal Survival Data, Non Parametric Bayesian Spatial and Spatiotemporal Modeling, Change-Point problem among others.
Professor Ghosh's paper titled 'A Bayesian Term Structure Modeling using heavy-tailed distributions' had earlier received the 3rd best paper award in International Finance Conference held at the Indian Institute of Management Calcutta in December 2009. Professor Ghosh has made significant contribution in the Cancer incidence and mortality rate.
The National Cancer Institute of USA (NCI) had recognized Professor Ghosh's 'Bayesian joinpoint model, statistical estimates of the joinpoints and the regression slopes' as a significant contribution to the literature of cancer trend age-adjusted analysis.
Prior to joining IIMB in July 2009 Professor Pulak Ghosh served as Associate Director, Novartis Pharmaceuticals, USA; Assistant Professor, Department of Statistics, Georgia State University, Associate Professor at Emory University, USA. He had also served on National Institutes of Health (NIH) grant review panel. Professor Ghosh is a visiting faculty at many national and international institutions. He obtained his PhD in Statistics from Oakland University, USA in 2003.
Paper by Professor Pulak Ghosh in Social Science Research Network (SSRN) Top Ten download list
Indian Institute of Management Bangalore (IIMB) Professor Pulak Ghosh's paper, co-authored with Sudhir Voleti (ISB, Hyderabad) and Paul Nelson (University of Rochester) "Estimation of Residual Equity in Hierarchical Branding Structures: A Nonparametric Approach on Aggregate Beer Category Data" , was recently listed on Social Science Research Network's (SSRN) Top Ten download list for ERN: Nonparametric Methodas (Topic).
The abstract can be viewed at http://papers.ssrn.com/abstract=1633230.
Pulak Ghosh is Associate Professor in Quantitative Methods & Information Systems area at IIMB. Professor Ghosh's key specializations are in various fields including Quantitative Finance, Econometrics, Social Network data, Political Science, Biostatistics, Bayesian Statistics, Multivariate Longitudinal Survival Data, Non Parametric Bayesian Spatial and Spatiotemporal Modeling, Change-Point problem among others.
Professor Ghosh's paper titled 'A Bayesian Term Structure Modeling using heavy-tailed distributions' had earlier received the 3rd best paper award in International Finance Conference held at the Indian Institute of Management Calcutta in December 2009. Professor Ghosh has made significant contribution in the Cancer incidence and mortality rate.
The National Cancer Institute of USA (NCI) had recognized Professor Ghosh's 'Bayesian joinpoint model, statistical estimates of the joinpoints and the regression slopes' as a significant contribution to the literature of cancer trend age-adjusted analysis.
Prior to joining IIMB in July 2009 Professor Pulak Ghosh served as Associate Director, Novartis Pharmaceuticals, USA; Assistant Professor, Department of Statistics, Georgia State University, Associate Professor at Emory University, USA. He had also served on National Institutes of Health (NIH) grant review panel. Professor Ghosh is a visiting faculty at many national and international institutions. He obtained his PhD in Statistics from Oakland University, USA in 2003.