Flavio B. Gonçalves | DeepAI

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∙ 12/10/2020

Exact Bayesian inference for level-set Cox processes

This paper proposes a class of multidimensional Cox processes in which t...

0 Flavio B. Gonçalves, et al. ∙

∙ 07/11/2020

Exact Bayesian inference for diffusion driven Cox processes

In this paper we present a novel methodology to perform Bayesian inferen...

0 Flavio B. Gonçalves, et al. ∙

∙ 06/17/2020

Multidimensional Bayesian IRT Model for Hierarchical Latent Structures

It is reasonable to consider, in many cases, that individuals' latent tr...

0 Juliane Venturelli S. L., et al. ∙

∙ 06/17/2020

Exact and computationally efficient Bayesian inference for generalized Markov modulated Poisson processes

Statistical modeling of point patterns is an important and common proble...

0 Flavio B. Gonçalves, et al. ∙

∙ 10/22/2019

Flexible Bayesian modelling in dichotomous item response theory using mixtures of skewed item curves

Most Item Response Theory (IRT) models for dichotomous responses are bas...

0 Flavio B. Gonçalves, et al. ∙

∙ 06/25/2019

On the definition of likelihood function

We discuss a general definition of likelihood function in terms of Radon...

0 Flavio B. Gonçalves, et al. ∙

∙ 11/12/2017

Bayesian linear regression models with flexible error distributions

This work introduces a novel methodology based on finite mixtures of Stu...

0 Nívea B. da Silva, et al. ∙

∙ 09/22/2017

Barker's algorithm for Bayesian inference with intractable likelihoods

In this expository paper we abstract and describe a simple MCMC scheme f...

0 Flavio B. Gonçalves, et al. ∙

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