Zobrazeno 1 - 10
of 152
pro vyhledávání: '"STEVENS, NATHANIEL T."'
Autor:
Hagar, Luke, Stevens, Nathaniel T.
To design Bayesian studies, criteria for the operating characteristics of posterior analyses - such as power and the type I error rate - are often assessed by estimating sampling distributions of posterior probabilities via simulation. In this paper,
Externí odkaz:
http://arxiv.org/abs/2411.13748
Autor:
Hagar, Luke, Stevens, Nathaniel T.
To design trustworthy Bayesian studies, criteria for posterior-based operating characteristics - such as power and the type I error rate - are often defined in clinical, industrial, and corporate settings. These posterior-based operating characterist
Externí odkaz:
http://arxiv.org/abs/2312.10814
Autor:
Hagar, Luke, Stevens, Nathaniel T.
Prior elicitation methods for Bayesian analyses transfigure prior information into quantifiable prior distributions. Recently, methods that leverage copulas have been proposed to accommodate more flexible dependence structures when eliciting multivar
Externí odkaz:
http://arxiv.org/abs/2312.06437
Autor:
Hagar, Luke, Stevens, Nathaniel T.
In bioequivalence design, power analyses dictate how much data must be collected to detect the absence of clinically important effects. Power is computed as a tail probability in the sampling distribution of the pertinent test statistics. When these
Externí odkaz:
http://arxiv.org/abs/2312.06415
Autor:
Hagar, Luke, Stevens, Nathaniel T.
Bayesian hypothesis tests leverage posterior probabilities, Bayes factors, or credible intervals to inform data-driven decision making. We propose a framework for power curve approximation with such hypothesis tests. We present a fast approach to exp
Externí odkaz:
http://arxiv.org/abs/2310.12427
Autor:
Hagar, Luke, Stevens, Nathaniel T.
Equivalence testing allows one to conclude that two characteristics are practically equivalent. We propose a framework for fast sample size determination with Bayesian equivalence tests facilitated via posterior probabilities. We assume that data are
Externí odkaz:
http://arxiv.org/abs/2306.09476
Autor:
STEVENS, NATHANIEL T., SEN, ANINDYA, KIWON, FRANCIS, MORITA, PLINIO P., STEINER, STEFAN H., ZHANG, QIHUANG
Publikováno v:
Canadian Public Policy / Analyse de Politiques, 2022 Mar 01. 48(1), 144-161.
Externí odkaz:
https://www.jstor.org/stable/27158058
Recently there has been a lot of interest in monitoring and identifying changes in dynamic networks, which has led to the development of a variety of monitoring methods. Unfortunately, these methods have not been systematically compared; moreover, ne
Externí odkaz:
http://arxiv.org/abs/1905.10302
In many applications it is of interest to identify anomalous behavior within a dynamic interacting system. Such anomalous interactions are reflected by structural changes in the network representation of the system. We propose and investigate the use
Externí odkaz:
http://arxiv.org/abs/1605.04049
Publikováno v:
Technometrics; Aug2024, Vol. 66 Issue 3, p319-330, 12p