27 citations · 49 across the 9 of their papers we have counts for
9 papers
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition
Yuling Yao, Luiz Max Carvalho, Diego Mesquita +1
Combining predictions from different models is a central problem in Bayesian inference and machine learning more broadly. Currently, these predictive distributions are almost exclu…
Bivariate beta distribution: parameter inference and diagnostics
Lucas Machado Moschen, Luiz Max Carvalho
Correlated proportions appear in many real-world applications and present a unique challenge in terms of finding an appropriate probabilistic model due to their constrained nature.…
Optimal Priors for the Discounting Parameter of the Normalized Power Prior
Yueqi Shen, Luiz M. Carvalho, Matthew A. Psioda +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,…
Beyond the shortest path: the path length index as a distribution
Leonardo B. L. Santos, Luiz Max Carvalho, Giovanni G. Soares +2
The traditional complex network approach considers only the shortest paths from one node to another, not taking into account several other possible paths. This limitation is signif…
Adaptive truncation of infinite sums: applications to Statistics
Luiz Max Carvalho, Wellington J. Silva, Guido A. Moreira
It is often the case in Statistics that one needs to compute sums of infinite series, especially in marginalising over discrete latent variables. This has become more relevant with…
On the normalized power prior
Luiz Max Carvalho, Joseph G. Ibrahim
The power prior is a popular tool for constructing informative prior distributions based on historical data. The method consists of raising the likelihood to a discounting factor i…
Spatio-temporal Dynamics of Foot-and-Mouth Disease Virus in South America
Luiz Max Carvalho, Nuno Rodrigues Faria, Andres M. Perez +5
Although foot-and-mouth disease virus (FMDV) incidence has decreased in South America over the last years, the pathogen still circulates in the region and the risk of re-emergence…
Combining probability distributions: Extending the logarithmic pooling approach
Luiz Max de Carvalho, Daniel A. M. Villela, Flavio Codeco Coelho +1
Combining distributions is an important issue in decision theory and Bayesian inference. Logarithmic pooling is a popular method to aggregate expert opinions by using a set of weig…
piBUSS: a parallel BEAST/BEAGLE utility for sequence simulation under complex evolutionary scenarios
Filip Bielejec, Philippe Lemey, Luiz Max Carvalho +3
Background: Simulated nucleotide or amino acid sequences are frequently used to assess the performance of phylogenetic reconstruction methods. BEAST, a Bayesian statistical framewo…