Subhra Sankar Dhar
Associate Professor in Statistics at Indian Institute of Technology, Kanpur, India
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Biography
Specialization
- Non-parametric and robust statistical methods.
- Research interests: Primary: Multivariate quantiles and rank, Data depth, Measure of association and Isotonic regression
- Secondary: Likelihood based inference, Kaplan-Meier estimator, Cluster analysis and Missing data analysis.
Research Interest
- Primary: Multivariate quantiles and rank, Data depth, Measure of association and Isotonic regression
- Secondary: Likelihood based inference, Kaplan-Meier estimator, Cluster analysis and Missing data analysis.
Education
- PhD, (in Statistics) from Indian Statistical Institute, Calcutta, 2012.
- Thesis Title:A Study of Some Statistical Procedures Based on Median and Other Quantiles.Supervisor:Pending
- M.Sc., in Statistics in 2005 from University of Calcutta
- B.Sc., (Hons. in Statistics) from Presidency College, Calcutta from 2003.
Companies
- Associate Professor in Statistics Indian Institute of Technology, Kanpur (2018)
- Assistant Professor in Statistics Indian Institute of Technology, Kanpur (2013 — 2018)
- Visiting Research Associate The London School of Economics and Political Science (LSE) (2016 — 2016)
- Visiting Assistant Professor Michigan State University (2015 — 2015)
- Visiting Research Associate The London School of Economics and Political Science (LSE) (2014 — 2014)
- Assistant Professor in Statistics Presidency University (2013 — 2013)
- Post-doctoral Research Associate University of Cambridge (2011 — 2012)
Videos
Advanced Techniques and Methodologies of Big Data in Science and Engineering (Lecture-3)
Advanced Techniques and Methodologies of Big Data in Science and Engineering (Lecture-4)
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