2 citations · 5 across the 7 of their papers we have counts for
7 papers
A New Perspective on Reverse Diffusion for Monte Carlo Sampling
Jairon H. N. Batista, Flávio B. Gonçalves, Yuri F. Saporito +1
This paper introduces a novel perspective on the use of reverse diffusion processes for sampling from unnormalized densities. The central idea is to embed the target density as the…
Bridging Theory and Practice in Efficient Gaussian Process-Based Statistical Modeling for Large Datasets
Flávio B. Gonçalves, Marcos O. Prates, Gareth O. Roberts
Geostatistics is a branch of statistics concerned with stochastic processes over continuous domains, with Gaussian processes (GPs) providing a flexible and principled modelling fra…
Nonparametric inference for nonstationary spatial point processes
Izabel Nolau, Flávio B. Gonçalves, Dani Gamerman
Point pattern data often exhibit features such as abrupt changes, hotspots and spatially varying dependence in local intensity. Under a Poisson process framework, these correspond…
Generation and analysis of synthetic data via Bayesian networks: a robust approach for uncertainty quantification via Bayesian paradigm
Larissa N. A. Martins, Flávio B. Gonçalves, Thais P. Galletti
Safe and reliable disclosure of information from confidential data is a challenging statistical problem. A common approach considers the generation of synthetic data, to be disclos…
The Poisson-Gaussian Mixture Process: A Flexible and Robust Approach for Non-Gaussian Geostatistical Modeling
F. B. Gonçalves, M. O. Prates, G. A. S. Aguilar
This paper introduces a novel family of geostatistical models designed to capture complex features beyond the reach of traditional Gaussian processes. The proposed family, termed t…
Multidimensional Bayesian IRT Model for Hierarchical Latent Structures
Juliane Venturelli S. L., Flavio B. Gonçalves, Dalton F. Andrade
It is reasonable to consider, in many cases, that individuals' latent traits have a hierarchical structure such that more general traits are a suitable composition of more specific…
Efficient Bernoulli factory MCMC for intractable posteriors
Dootika Vats, Flávio Gonçalves, Krzysztof Łatuszyński +1
Accept-reject based Markov chain Monte Carlo (MCMC) algorithms have traditionally utilised acceptance probabilities that can be explicitly written as a function of the ratio of the…