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A New Global Stochastic Search Approach for Inverse Problems: Application to Ultrasound Modulated Optical Tomography
inverse problems global stochastic search discretized Kushner-Stratonovich equation gain-based update ultrasound modulated optical tomography
2013/6/14
A global stochastic search method, which is strictly derivative-free yet directed through a gain-based additive update term, is proposed and applied to the inverse problem of ultrasound modulated opti...
Stochastic Search for Semiparametric Linear Regression Models
Stochastic Search Semiparametric Linear Regression Models
2011/7/6
This paper introduces and analyzes a stochastic search method for parameter estimation in linear regression models in the spirit of Beran and Millar (1987).
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...