Zobrazeno 1 - 10
of 208
pro vyhledávání: '"Trevor Park"'
Autor:
Andrew Atherstone
Publikováno v:
The Journal of Ecclesiastical History. 69:671-671
Publikováno v:
Ultrasound Med Biol
Quantitative ultrasound (QUS) was used to classify rabbits that were induced to have liver disease by placing them on a fatty diet for a defined duration and/or periodically injecting them with CCl(4). The ground truth of the liver state was based on
Autor:
Sheridan Gilley
Publikováno v:
The Journal of Ecclesiastical History. 34:659-660
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 67:1003-1022
Summary In demand of predicting new human immunodeficiency virus (HIV) diagnosis rates based on publicly available HIV data that are abundant in space but have few points in time, we propose a class of spatially varying auto-regressive models compoun
Autor:
Steven Andrew Culpepper, Trevor Park
Publikováno v:
Journal of Educational and Behavioral Statistics. 42:591-616
A latent multivariate regression model is developed that employs a generalized asymmetric Laplace (GAL) prior distribution for regression coefficients. The model is designed for high-dimensional applications where an approximate sparsity condition is
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 47:569-583
We propose a contaminant detection methodology suitable for robotic automation, which is able to not only locate the source(s) of the contaminant but also estimate its intensity in an environment that is allowed to evolve over both space and time. Th
Autor:
Minh N. Do, Alex Tam, Trevor Park, Trong Nguyen, Michael L. Oelze, Eben C. Arnold, Rita J. Miller, Anthony Podkowa
Publikováno v:
Ultrasound Med Biol
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease and can often lead to fibrosis, cirrhosis, cancer and complete liver failure. Liver biopsy is the current standard of care to quantify hepatic steatosis, but i
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Autor:
George Casella, Trevor Park
Publikováno v:
Journal of the American Statistical Association. 103:681-686
The Lasso estimate for linear regression parameters can be interpreted as a Bayesian posterior mode estimate when the regression parameters have independent Laplace (i.e., double-exponential) priors. Gibbs sampling from this posterior is possible usi