4 citations · 4 across the 3 of their papers we have counts for
4 papers
Multiple Testing Of Composite Null Hypotheses With High Dimensional Count Data: A Local False Discovery Rate Approach
Emmanuel Asare, Pratyaydipta Rudra, Joshua Habiger
High throughput sequencing technology is routinely used to generate high dimensional (HD) count data. One objective is to determine which variables are associated with a covariate…
Minimally Discrete and Minimally Randomized p-Values
Joshua Habiger, Pratyaydipta Rudra
In meta analysis, multiple hypothesis testing and many other methods, p-values are utilized as inputs and assumed to be uniformly distributed over the unit interval under the null…
A Hybrid Approach for Improved Content-based Image Retrieval using Segmentation
Smarajit Bose, Amita Pal, Jhimli Mallick +2
The objective of Content-Based Image Retrieval (CBIR) methods is essentially to extract, from large (image) databases, a specified number of images similar in visual and semantic c…
A procedure to detect general association based on concentration of ranks
Pratyaydipta Rudra, Fred A. Wright
In modern high-throughput applications, it is important to identify pairwise associations between variables, and desirable to use methods that are powerful and sensitive to a varie…