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06/26/2022
Prediction Errors for Penalized Regressions based on Generalized Approximate Message Passing
We discuss the prediction accuracy of assumed statistical models in term...
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10/21/2021
Decision Theoretic Cutoff and ROC Analysis for Bayesian Optimal Group Testing
We study the inference problem in the group testing to identify defectiv...
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07/27/2020
Active pooling design in group testing based on Bayesian posterior prediction
In identifying infected patients in a population, group testing is an ef...
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04/28/2020
Bayesian inference of infected patients in group testing with prevalence estimation
Group testing is a method of identifying infected patients by performing...
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02/27/2019
Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration
We investigate the signal reconstruction performance of sparse linear re...
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02/20/2019
Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control
We consider compressed sensing formulated as a minimization problem of n...
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02/20/2018
Estimator of Prediction Error Based on Approximate Message Passing for Penalized Linear Regression
We propose an estimator of prediction error using an approximate message...
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11/08/2017
Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis
We analyze linear regression problem with a nonconvex regularization cal...
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02/06/2014