Zobrazeno 1 - 10
of 265
pro vyhledávání: '"MacEachern, Steven"'
Bayesian inference with empirical likelihood faces a challenge as the posterior domain is a proper subset of the original parameter space due to the convex hull constraint. We propose a regularized exponentially tilted empirical likelihood to address
Externí odkaz:
http://arxiv.org/abs/2312.17015
Autor:
An, Hyoin, MacEachern, Steven N.
Despite the practicality of quantile regression (QR), simultaneous estimation of multiple QR curves continues to be challenging. We address this problem by proposing a Bayesian nonparametric framework that generalizes the quantile pyramid by replacin
Externí odkaz:
http://arxiv.org/abs/2306.02126
Autor:
Miyawaki, Koji, MacEachern, Steven N.
This paper focuses on the superset model problem that arises in the context of regression. To address this problem, we take the Bayesian approach to measure its uncertainty. An illustrative example with the real dataset is provided.
Externí odkaz:
http://arxiv.org/abs/2209.14555
Statistical hypotheses are translations of scientific hypotheses into statements about one or more distributions, often concerning their centre. Tests that assess statistical hypotheses of centre implicitly assume a specific centre, e.g., the mean or
Externí odkaz:
http://arxiv.org/abs/2202.12540
Publikováno v:
Journal of Nonparametric Statistics. 35 (2023) 709-732
Empirical likelihood enables a nonparametric, likelihood-driven style of inference without restrictive assumptions routinely made in parametric models. We develop a framework for applying empirical likelihood to the analysis of experimental designs,
Externí odkaz:
http://arxiv.org/abs/2112.09206
Understanding the oscillating behaviors that govern organisms' internal biological processes requires interdisciplinary efforts combining both biological and computer experiments, as the latter can complement the former by simulating perturbed condit
Externí odkaz:
http://arxiv.org/abs/2110.10604
Standard regression approaches assume that some finite number of the response distribution characteristics, such as location and scale, change as a (parametric or nonparametric) function of predictors. However, it is not always appropriate to assume
Externí odkaz:
http://arxiv.org/abs/2007.06129
Autor:
MacEachern, Steven N., Miyawaki, Koji
This paper considers the two-dataset problem, where data are collected from two potentially different populations sharing common aspects. This problem arises when data are collected by two different types of researchers or from two different sources.
Externí odkaz:
http://arxiv.org/abs/1911.00204
We discuss the role that the null hypothesis should play in the construction of a test statistic used to make a decision about that hypothesis. To construct the test statistic for a point null hypothesis about a binomial proportion, a common recommen
Externí odkaz:
http://arxiv.org/abs/1907.08703
Autor:
MacEachern, Steven N., Miyawaki, Koji
Regression plays a key role in many research areas and its variable selection is a classic and major problem. This study emphasizes cost of predictors to be purchased for future use, when we select a subset of them. Its economic aspect is naturally f
Externí odkaz:
http://arxiv.org/abs/1903.02136