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stat.ML2015
A Parzen-based distance between probability measures as an alternative of summary statistics in Approximate Bayesian Computation
Carlos D. Zuluaga, Edgar A. Valencia, Mauricio A. Álvarez
Approximate Bayesian Computation (ABC) are likelihood-free Monte Carlo methods. ABC methods use a comparison between simulated data, using different parameters drew from a prior di…
stat.ML2015★ 1 cited
Discriminative training for Convolved Multiple-Output Gaussian processes
Sebastián Gómez-González, Mauricio A. Álvarez, Hernán Felipe García
Multi-output Gaussian processes (MOGP) are probability distributions over vector-valued functions, and have been previously used for multi-output regression and for multi-class cla…