9 citations · 9 across the 4 of their papers we have counts for
4 papers
Context Tree Prior Distributions based on Node Weighting with exact Bayes Factors
Thiago Paulichen, Victor Freguglia
Variable-length Markov chains (VLMCs) are a flexible class of higher-order Markov models that admit a natural representation as context trees. Existing Bayesian methods for specify…
Sparse Interaction Neighborhood Selection for Markov Random Fields via Reversible Jump and Pseudoposteriors
Victor Freguglia, Nancy Lopes Garcia
We consider the problem of estimating the interacting neighborhood of a Markov Random Field model with finite support and homogeneous pairwise interactions based on relative positi…
Detecting Renewal States in Chains of Variable Length via Intrinsic Bayes Factors
Victor Freguglia, Nancy Garcia
Markov chains with variable length are useful parsimonious stochastic models able to generate most stationary sequence of discrete symbols. The idea is to identify the suffixes of…
Inference tools for Markov Random Fields on lattices: The R package mrf2d
Victor Freguglia, Nancy Lopes Garcia
Markov random fields on two-dimensional lattices are behind many image analysis methodologies. mrf2d provides tools for statistical inference on a class of discrete stationary Mark…