activity
20112026
most citedHigh dimensional Bayesian inference for Gaussian directed acyclic graph models

24 citations · 42 across the 13 of their papers we have counts for

collaborators
Showing math.STShow all

6 papers · 1 filter

math.ST2017

Linear Regression with Sparsely Permuted Data

Martin Slawski, Emanuel Ben-David

In regression analysis of multivariate data, it is tacitly assumed that response and predictor variables in each observed response-predictor pair correspond to the same entity or u…

math.ST2014

The Letac-Massam conjecture and existence of high dimensional Bayes estimators for Graphical Models

Emanuel Ben-David, Bala Rajaratnam

In recent years, a variety of useful extensions of the Wishart have been proposed in the literature for the purposes of studying Markov random fields/graphical models. In particula…

math.ST2014★ 1 cited

Sharper lower and upper bounds for the gaussian rank of a graph

Emanuel Ben-David

An open problem in graphical Gaussian models is to determine the smallest number of observations needed to guarantee the existence of the maximum likelihood estimator of the covari…

math.ST2012

Maximal Invariants Over Symmetric Cones

Emanuel Ben-David

In this paper we consider some hypothesis tests within a family of Wishart distributions, where both the sample space and the parameter space are symmetric cones. For such testing…

math.ST2011

Maximal Invariants For Lorentz Wishart Models

Emanuel Ben-David

In this paper we consider two statistical hypotheses for the families of Wishart type distributions. These distributions are analogs of the Wishart distributions defined and parame…

math.ST2011★ 24 cited

High dimensional Bayesian inference for Gaussian directed acyclic graph models

Emanuel Ben-David, Tianxi Li, Helene Massam +1

We study centered Gaussian models Markov with respect to a directed acyclic graph (DAG) whose vertices have a fixed parent ordering. We construct a conjugate family on the modified…