Bodhisattva Sen

 

Research Interests


  1. •Nonparametric methods and nonparametric function estimation

  2. •Theory of optimal transport and applications to statistics

  3. •Nonparametric empirical Bayes

  4. •Kernel methods in statistics and machine learning

  5. •Shape restricted function estimation and inference

  6. •Bootstrap in non-standard problems

  7. •Change-point and threshold models

  8. •Nonparametric regression and transformation of covariates

  9. •Applications in astronomy and High Energy physics

Please click here for a complete CV.

Some lecture notes


  1. •Lecture Notes on Empirical Bayes - April 2023

  2. •A 2nd PhD level course on Theoretical Statistics - April 2021

  3. •A masters level course on Statistical Inference - February 2020

  4. •Introduction to Semiparametric Statistics - April 2018

  5. •A Gentle Introduction to Empirical Process Theory and Applications - July 2022

  6. •A PhD level course on Nonparametric Statistics - March 2020

Some selected talks


  1. •Multivariate Symmetry: Distribution-Free Testing via Optimal Transport - April 2023. Video lecture

    1. •On Nonparametric Maximum Likelihood Estimation with Heterogeneous Data - May 2023. Video lecture

    2. •Multivariate Distribution-free Testing using Optimal Transport - May 2023. Video lecture

    3. •Measuring Association on Topological Spaces Using Kernels and Geometric Graphs - December 2020

    4. •Multivariate Rank-based Distribution-free Nonparametric Testing using Optimal Transport - January 2020

    5. •Multivariate Quantiles and Ranks using Optimal Transportation - April 2019

    6. •Optimal Inference with a Multidimensional Multiscale Statistic - June 2018

    7. •Nonparametric Estimation in a Two-component Mixture Model with Applications to Multiple Testing - May 2017

    8. •Adaptation in Shape Constrained Regression - November 2015

    9. •Nonparametric Convex Regression - April 2014

    10. •Estimation of a Two-component Mixture Model - Aug 2012

    11. •Streaming Motion in Leo I - May 2012

    12. •On Fractile Transformation of Covariates in Regression - Dec 2010

    13. •Bootstrap in some non-standard problems - Sep 2009

    14. •Separating Signal from Backgroud - Feb 2009


Grants


  1. •NSF grant, DMS-2015376 ($300,000) from July 2020 - June 2023.

  2. •NSF grant, DMS-1712822 ($239,994) from July 2017 - June 2020.

  3. •NSF grant, AST-1614743 ($347,193; Co-PI) from July 2016 - June 2019.

  4. •NSF CAREER award, DMS-1150435 ($400,088) from July 2012 - June 2017.

  5. •EPSRC Strategic Fund (GBP 49,843) from October 2011 - June 2012 (University of Cambridge, UK).

  6. •NSF grant, AST-1107373 ($324,207; Co-PI) from July 2011 - June 2014.

  7. •NSF grant, DMS-0906597 ($100,077) from July 2009 - June 2012.