Skip to main navigation
Skip to search
Skip to main content
Xi'an Jiaotong-Liverpool University Home
Home
Profiles
Research units
Research output
Projects
Activities
Search by expertise, name or affiliation
Neyman–Pearson lemma for Bayes factors
Andrew Fowlie
*
*
Corresponding author for this work
Nanjing Normal University
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Neyman–Pearson lemma for Bayes factors'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Bayesian
16%
Bayesian Model Comparison
100%
Error Rate
16%
Frequentist
50%
Points
16%
Simple Null Hypothesis
16%
Test Statistic
16%
Type I error rate
50%
Type II error
16%
Uniformly Most Powerful Test
16%