Siddhartha Chib is an econometrician and statistician, the Harry C. Hartkopf Professor of Econometrics and Statistics at Washington University in St. Louis.
His work is primarily in Bayesian statistics, econometrics, and Markov chain Monte Carlo methods.
He has also developed original methods for Bayesian inference in Tobit censored responses,[14] discretely observed diffusions,[15] univariate and multivariate ARMA processes,[16][17] multivariate count responses,[18] causal inference,[19][20] hierarchical models of longitudinal data,[21] nonparametric regression,[22][23] and unconditional and conditional moment models.
[24][25] He received a bachelor's degree from St. Stephen’s College, Delhi, in 1979, an M.B.A. from the Indian Institute of Management, Ahmedabad, in 1982, and a Ph.D. in economics from the University of California, Santa Barbara, in 1986.
He is a fellow of the American Statistical Association (2001),[27] the International Society of Bayesian Analysis (2012),[28] and the Journal of Econometrics (1996).