16 citations · 16 across the 5 of their papers we have counts for
5 papers
Genetic Regression Analysis of Human Brain Connectivity Using an Efficient Estimator of Genetic Covariance
Keshav Motwani, Ali Shojaie, Ariel Rokem +1
Non-invasive measurements of the human brain using magnetic resonance imaging (MRI) have significantly improved our understanding the brain's network organization by enabling measu…
Revisiting inference after prediction
Keshav Motwani, Daniela Witten
Recent work has focused on the very common practice of prediction-based inference: that is, (i) using a pre-trained machine learning model to predict an unobserved response variabl…
Generalized Data Thinning Using Sufficient Statistics
Ameer Dharamshi, Anna Neufeld, Keshav Motwani +3
Our goal is to develop a general strategy to decompose a random variable into multiple independent random variables, without sacrificing any information about unknown parameter…
Multiresolution categorical regression for interpretable cell type annotation
Aaron J. Molstad, Keshav Motwani
In many categorical response regression applications, the response categories admit a multiresolution structure. That is, subsets of the response categories may naturally be combin…
Binned multinomial logistic regression for integrative cell type annotation
Keshav Motwani, Rhonda Bacher, Aaron J. Molstad
Categorizing individual cells into one of many known cell type categories, also known as cell type annotation, is a critical step in the analysis of single-cell genomics data. The…