Bayesian Nonparametric Inference: Dependence Structures and their Applications
Videos from CMO Workshop
Sinead Williamson, University of Texas at Austin
Monday Dec 4, 2017 09:47 - 10:39
Bayesian nonparametric models for networks
Harry van Zanten, University of Amsterdam
Monday Dec 4, 2017 10:42 - 11:27
Bayesian inference about smooth functions on grahps
Pierpaolo De Blasi, University of Torino and Collegio Carlo Alberto
Monday Dec 4, 2017 11:51 - 12:33
Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process
Peter Orbanz, Columbia University
Monday Dec 4, 2017 12:35 - 13:27
Convergence and concentration under symmetry constraints
Li Ma, Duke University
Monday Dec 4, 2017 15:00 - 15:49
Mixture modeling on related samples through psi-stick breaking and kernel perturbation.
Anirban Bhattacharya, Texas A&M University
Tuesday Dec 5, 2017 09:30 - 10:16
Statistical properties of variational inference
Trevor Campbell, Massachusetts Institute of Technology
Tuesday Dec 5, 2017 10:18 - 11:05
Automated, Scalable Bayesian Inference with Theoretical Guarantees
Judith Rousseau, University of Oxford
Tuesday Dec 5, 2017 11:32 - 12:16
Nonparametric concentration rates for network models
Bas Klejin, University of Amsterdam, The Netherlands
Tuesday Dec 5, 2017 12:19 - 13:06
On the frequentist validity of Bayesian limits
Maria De Iorio, University College London
Tuesday Dec 5, 2017 16:02 - 16:46
Bayesian Nonparamteric Modelling of Recurrent Event Processes
Jim Griffin, University of Kent
Wednesday Dec 6, 2017 16:44 - 17:31
Dependent nonparametric modelling through compound random measures
Surya Tokdar, Duke University
Thursday Dec 7, 2017 09:31 - 10:18
Quantile regression, extremes modeling
Athanasios Kottas, University of California Santa Cruz
Thursday Dec 7, 2017 10:20 - 11:04
Dynamic ordinal regression modeling, with applications to estimating natural selection surfaces in population biology
David Dunson, Duke University
Thursday Dec 7, 2017 14:32 - 15:23
Bayesian subspace approximation via mixtures of spherelets
Luis E. Nieto-Barajas, ITAM - Mexico
Thursday Dec 7, 2017 15:24 - 16:04
Two unrelated topics: Polya trees and copulas
Antonio Lijoi, Bocconi University
Friday Dec 8, 2017 09:00 - 09:44
Vectors of dependent priors for partially exchangeable data
Sergio Bacallado, University of Cambridge
Friday Dec 8, 2017 09:47 - 10:32
Bayesian inference in the hierarchical Pitman-Yor model
Matteo Ruggiero, University of Torino and Collegio Carlo Alberto
Friday Dec 8, 2017 11:29 - 12:03
Dependent processes for functional forecasting in virtual gas markets
Juan Carlos Martinez-Ovando, ITAM
Friday Dec 8, 2017 12:00 - 12:30
Predictive Portfolio Optimization under Expected-Shortfall Including Estimation Error
