Bayesian Nonparametric Inference: Dependence Structures and their Applications (17w5060)
Igor Pruenster (Bocconi University)
Peter Mueller (The University of Texas at Austin)
Ramsés Mena (Universidad Nacional Autónoma de México)
Hence, the theme of the workshop will be the interplay between methodology and applications. A comprehensive environment, ranging from theoretical methodology to real-world applications of BNP models, is the key for the success of the proposed workshop.
The workshop will gather leading experts in BNP for a program that is designed to mainly focus attention on:
(a) methodological issues related to inference characterized by complex dependence structures;
(b) new computational tools that are needed for their actual implementation;
(c) successful applications in a wide spectrum of fields and new emerging methodological and computational challenges.
Therefore the workshop seeks to initiate collaborations among experts in theory and methods, researchers with complementary interests in applications and substantive scientific research questions, and foster interactions with scholars having strong computational skills.