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A multivariate adaptive stochastic search method for dimensionality reduction in classification
Dimensionality reduction classification variable selection
2010/10/19
High-dimensional classification has become an increasingly important problem. In this paper we propose a "Multivariate Adaptive Stochastic Search" (MASS) approach which first reduces the dimension of...
Evolutionary Stochastic Search for Bayesian model exploration
Evolutionary Monte Carlo Fast Scan Metropolis-Hastings schemes Linear Gaussian regressionmodels Variable selection
2010/3/10
Implementing Bayesian variable selection for linear Gaussian regression models for analysing
high dimensional data sets is of current interest in many fields. In order to make such analysis operation...