Publications [#367805] of Sayan Mukherjee

Chapters

1. Lunagómez, S; Mukherjee, S; Wolpert, R, Priors on Hypergraphical Models via Simplicial Complexes, in Current Trends in Bayesian Methodology with Applications (January, 2015), pp. 391-414, ISBN 9781482235111 [doi]
   (last updated on 2025/04/11)

   Abstract:
   It is common to model the joint probability distribution of a family of n random variables {X1, . . . , Xn} in two stages: First to specify the conditional dependence structure of the distribution, then to specify details of the conditional distributions of the variables within that structure [3, 7]. The structure may be summarized in a variety of ways in the form of a graph G = (V , E) whose vertices V = {1, ..., n} index the variables {Xi} and whose edges E ? V V in some way encode conditional dependence.