Interdisciplinary investigations in data science

Snigdha Panigrahi, Shariq Mohammad, Arvind Rao and Veerabhadran Baladandayuthapani. Integrative Bayesian models using Post-selective Inference: a case study in Radiogenomics. 2022. Biometrics (Forthcoming). [arxiv]

Snigdha Panigrahi, Natasha Stewart, Chandra Sripada, and Elizaveta Levina. Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging. 2022. [arxiv]

Basil Saeed, Snigdha Panigrahi and Caroline Uhler. Causal Structure Discovery from Distributions Arising from Mixtures of DAGs. 2020. International Conference on Machine Learning. [arxiv]; [publication]

Snigdha Panigrahi, Junjie Zhu and Chiara Sabatti. Selection-adjusted inference: an application to confidence intervals for cis-eQTL effect sizes. 2019. Biostatistics. [arxiv]; [publication]

Snigdha Panigrahi, Nadia Fawaz and Ajith Pudhiyaveetil. Temporal Evolution of Behavioral User Personas via Latent Variable Mixture models. 2019. IUI Workshops on Exploratory Search and Interactive Data Analytics. [arxiv]; [publication]