Bayesian nonparametric k-sample tests for censored and uncensored data
Polya tree priors are random probability distributions that are easily centered at standard
parametric families, such as the normal. As such, they provide a convenient avenue toward …
parametric families, such as the normal. As such, they provide a convenient avenue toward …
A Bayesian goodness of fit test and semiparametric generalization of logistic regression with measurement data
A Schörgendorfer, AJ Branscum, TE Hanson - Biometrics, 2013 - academic.oup.com
Logistic regression is a popular tool for risk analysis in medical and population health
science. With continuous response data, it is common to create a dichotomous outcome for …
science. With continuous response data, it is common to create a dichotomous outcome for …
Sample path deviations of the Wiener and the Ornstein–Uhlenbeck process from its bridges
M Barczy, P Kern - 2013 - projecteuclid.org
We study sample path deviations of the Wiener process from three different representations
of its bridge: anticipative version, integral representation and space–time transform …
of its bridge: anticipative version, integral representation and space–time transform …
Bayesian nonparametric test for independence between random vectors
A nonparametric approach for testing independence among groups of continuous random
variables is proposed. Gaussian-centered multivariate finite Polya tree priors are used to …
variables is proposed. Gaussian-centered multivariate finite Polya tree priors are used to …
Bayesian Methods in Analyzing the Association of Random Variables
Z Ma - 2021 - search.proquest.com
This dissertation focuses on studying the association between random variables or random
vectors from the Bayesian perspective. In particular, it consists of two topics:(1) hypothesis …
vectors from the Bayesian perspective. In particular, it consists of two topics:(1) hypothesis …