activity
19982025
most citedPerfect simulation for interacting point processes, loss networks and Ising models

104 citations · 339 across the 26 of their papers we have counts for

collaborators

27 papers

stat.ME2025

A Fuzzy Approach for Randomized Confidence Intervals

Carlos Henrique Trigo Nasser Felix, Nancy Lopes Garcia, Alex Rodrigo dos Santos Sousa

We propose randomized confidence intervals based on the Neyman-Pearson lemma, in order to make them more broadly applicable to distributions that do not satisfy regularity conditio…

stat.CO2022

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…

stat.ME2022★ 1 cited

Unsupervised Bayesian classification for models with scalar and functional covariates

Nancy L. Garcia, Mariana Rodrigues-Motta, Helio S. Migon +5

We consider unsupervised classification by means of a latent multinomial variable which categorizes a scalar response into one of L components of a mixture model. This process can…

cs.LG2021

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…

stat.ME2021

Wavelet Shrinkage in Nonparametric Regression Models with Positive Noise

Alex Rodrigo dos Santos Sousa, Nancy Lopes Garcia

Wavelet shrinkage estimators are widely applied in several fields of science for denoising data in wavelet domain by reducing the magnitudes of empirical coefficients. In nonparame…

stat.CO2020★ 9 cited

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…