research
∙
09/30/2022
Bayes factor functions for reporting outcomes of hypothesis tests
Bayes factors represent the ratio of probabilities assigned to data by c...
share
research
∙
02/16/2022
Using the left Gram matrix to cluster high dimensional data
For high dimensional data, where P features for N objects (P >> N) are r...
research
∙
11/20/2018
Higher significance with smaller samples: A modified Sequential Probability Ratio Test
We describe a modified sequential probability ratio test that can be use...
research
∙
11/02/2018
A Fast Algorithm for Clustering High Dimensional Feature Vectors
We propose an algorithm for clustering high dimensional data. If P featu...
research
∙
04/03/2018
On the Existence of Uniformly Most Powerful Bayesian Tests With Application to Non-Central Chi-Squared Tests
Uniformly most powerful Bayesian tests (UMPBTs) are an objective class o...
research
∙
12/08/2017
Bayesian Variable Selection For Survival Data Using Inverse Moment Priors
Efficient variable selection in high dimensional cancer genomic studies ...
research
∙
12/08/2017
