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I am a Professor of Statistics at the Statistical Laboratory, which is part of the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge. My research interests include high-dimensional statistics, causal inference and large-scale data.
Professor Rajen Shah | Department of Pure Mathematics and Mathematical Statistics. Research Interests: High-dimensional statistics and large-scale data analysis. Publications. Average partial effect estimation using double machine learning. H Klyne, RD Shah. (2023) ( link to publication)
Rajen SHAH, Professor | Cited by 898 | of University of Cambridge, Cambridge (Cam) | Read 39 publications | Contact Rajen SHAH
Rajen Shah is a Reader in Statistics at the University of Cambridge and a Fellow of Churchill College. He works on high-dimensional statistics, large-scale data analysis and causal inference.
Shah, R. D. (2016) Modelling interactions in high-dimensional data with Backtracking. JMLR, 17, 1-31. Shah, R. D. and Meinshausen, N. (2014) Random Intersection Trees.
I am interested in both statistical and computational aspects of the analysis of large sets of data. These include. i) building machine learning-type algorithms can deal with big datasets, and that are both computationally feasible and have good statistical properties;
Rajen Shah via Scopus - Elsevier Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis Journal of Clinical Oncology
