The following pages link to Erlandson F. Saraiva (Q278481):
Displaying 11 items.
- Mixture models with an unknown number of components via a new posterior split-merge MCMC algorithm (Q278483) (← links)
- A predictive Bayes factor approach to identify genes differentially expressed: an application to \textit{Escherichia coli} bacterium data (Q398193) (← links)
- A gene-by-gene multiple comparison analysis: a predictive Bayesian approach (Q481435) (← links)
- A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli bacterium data (Q764244) (← links)
- A Bayesian sparse finite mixture model for clustering data from a heterogeneous population (Q783308) (← links)
- Clustering gene expression data using a posterior split-merge-birth procedure (Q2914942) (← links)
- (Q4982725) (← links)
- A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling (Q5107497) (← links)
- Partitioning gene expression data by data-driven Markov chain Monte Carlo (Q5138066) (← links)
- (Q5207232) (← links)
- An Integrated Approach between Computing and Mathematical Modelling for Cattle Welfare in Grazing Systems (Q6088020) (← links)
