activity
20242026
collaborators

5 papers

q-bio.PE2026

Mapping the landscape of mathematical models for antimicrobial resistance: a scoping review

Felipe Schardong, Claudio Jose Struchiner, Luiz Max Carvalho

Background: Antimicrobial resistance (AMR) is a major global public health problem, contributing to an estimated 4.95 million deaths in 2019 and projected to cause up to 10 million…

stat.ME2025

hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data

Ethan M. Alt, Xinxin Chen, Luiz M. Carvalho +1

There has been increased interest in the use of historical data to formulate informative priors in regression models. While many such priors for incorporating historical data have…

stat.ME2025

ANPP: the Adapted Normalized Power Prior for Borrowing Information from Multiple Historical Datasets in Clinical Trials

Yueqi Shen, Matthew A. Psioda, Luiz M. Carvalho +1

The power prior is a popular class of informative priors for incorporating information from historical data. It involves raising the likelihood for the historical data to a power,…

math.PR2024

On the lumpability of tree-valued Markov chains

Rodrigo B. Alves, Yuri F. Saporito, Luiz M. Carvalho

Phylogenetic trees constitute an interesting class of objects for stochastic processes due to the non-standard nature of the space they inhabit. In particular, many statistical app…

cs.LG2024

Embarrassingly Parallel GFlowNets

Tiago da Silva, Luiz Max Carvalho, Amauri Souza +2

GFlowNets are a promising alternative to MCMC sampling for discrete compositional random variables. Training GFlowNets requires repeated evaluations of the unnormalized target dist…