|
Tweet | ||
463 * ! | Wed, 8/12/2015, 8:30 AM - 10:20 AM | CC-607 | |
Markov Chain Monte Carlo for Contemporary Statistical Applications — Invited Papers | |||
International Society for Bayesian Analysis (ISBA) , Conference on Statistical Practice Steering Committee , Section on Bayesian Statistical Science | |||
Organizer(s): James M. Flegal, UC Riverside | |||
Chair(s): James M. Flegal, UC Riverside | |||
8:35 AM | Toward Efficient MCMC for Some High-Dimensional Latent Variable Models — Murali Haran, Penn State | ||
9:00 AM | An Unbiased and Scalable Monte Carlo Method for Bayesian Inference for Big Data — Murray Pollock, University of Warwick ; Paul Fearnhead, Lancaster University ; Adam Michael Johansen, University of Warwick ; Gareth O. Roberts, University of Warwick | ||
9:25 AM | Parallelization of MCMC Algorithms — Natesh Pillai, Harvard University ; Guillaume Basse, Harvard University ; Aaron Smith, University of Waterloo ; Ben Calderhead, Imperial College London | ||
9:50 AM | High-Dimensional MCMC Output Analysis — Galin Jones, University of Minnesota ; Dootika Vats, University of Minnesota ; James M. Flegal, UC Riverside | ||
10:15 AM | Floor Discussion |
For program information, contact the JSM Registration Department or phone (888) 231-3473.
For Professional Development information, contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
2015 JSM Online Program Home
ASA Meetings Department
732 North Washington Street, Alexandria, VA 22314
(703) 684-1221 • meetings@amstat.org
Copyright © American Statistical Association.