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Browsing School of Engineering, Computer & Mathematical Sciences by Author "Lee, J"
Now showing items 17 of 7

Bayesian threshold selection for extremal models using measures of surprise
Lee, J; Fan, Y; Sisson, S (Cornell University Library, 2013)Statistical extreme value theory is concerned with the use of asymptotically motivated models to describe the extreme values of a process. A number of commonly used models are valid for observed data that exceed some high ... 
Detecting defects in composite beams and plates using Bayesian inference
Chung, H; Lee, J (KU Leuven  Department of Mechanical Engineering, 2014)The topic of this paper is an inverse problem of identifying defects in composite beams and plates. The physical representation of defects is parametrized. Assuming Gaussian errors in measurements, the Bayesian inference ... 
Importance Sampling Schemes for Evidence Approximation in Mixture Models
Lee, J (International Society for Bayesian Analysis, 2015)The marginal likelihood is a central tool for drawing Bayesian inference about the number of components in mixture models. It is often approximated since the exact form is unavailable. A bias in the approximation may be ... 
Importance Sampling Schemes for Evidence Approximation in Mixture Models
Lee, J; Robert, CP (arXiv, 2014)The marginal likelihood is a central tool for drawing Bayesian inference about the number of components in mixture models. It is often approximated since the exact form is unavailable. A bias in the approximation may be ... 
Model prior distribution for variable selection in linear regression models
Lee, J; Villa, C. (Cornell University Library, 2016)In this work we discuss a novel model prior probability for variable selection in linear regression. The idea is to determine the prior mass in an objective sense, by considering the worth of each of the possible regression ... 
Noninformative reparameterisations for locationscale mixtures
Lee, J; Kamary, K; Robert, CP (Cornell University Library, 2016)While mixtures of Gaussian distributions have been studied for more than a century (Pearson, 1894), the construction of a reference Bayesian analysis of those models still remains unsolved, with a general prohibition of ... 
Spatial modelling for extreme precipitation in the Basque country, Spain
Lee, J (The Bayesian Research and Applications Group (BRAG), 2012)No abstract.