61 citations · 285 across the 30 of their papers we have counts for
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3 papers · 1 filter
stat.CO2019
Bayesian inverse regression for dimension reduction with small datasets
Xin Cai, Guang Lin, Jinglai Li
We consider supervised dimension reduction problems, namely to identify a low dimensional projection of the predictors $\-x$ which can retain the statistical relationship between $…
stat.CO2015★ 33 cited
Gaussian process surrogates for failure detection: a Bayesian experimental design approach
Hongqiao Wang, Guang Lin, Jinglai Li
An important task of uncertainty quantification is to identify {the probability of} undesired events, in particular, system failures, caused by various sources of uncertainties. In…
stat.CO2015
Parallel and Interacting Stochastic Approximation Annealing algorithms for global optimisation
Georgios Karagiannis, Bledar A. Konomi, Guang Lin +1
We present the parallel and interacting stochastic approximation annealing (PISAA) algorithm, a stochastic simulation procedure for global optimisation, that extends and improves t…