Carlos M. Carvalho, Ph.D.
Professor of Statistics

  • Software for Bayesian Factor Regression Models: A framework for Bayesian modelling and analysis of sparse latent factor and facter-regression models, with a number of developments related to applications in analysis of large-scale gene expression data sets.

  • Particle Learning software for DP mixture models and others applications.

  • Software for Stochastic Computation in Gaussian Graphical Models

  • The HIW Sampler software for simulation of hyper-inverse Wishart distributions arising in sparse decomposable graphical models.

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