Web Page of Sanjay Chaudhuri

Biography

Sanjay was born on July 25, 1976 in Calcutta, India. He received his B.Stat (Bachelor of Statistics) and M.Stat (Master of Statistics) degrees from Indian Statistical institute in 1998 and 2000 respectively. On graduation in 2000 he joined the Department of Statistics, University of Washington, Seattle as a graduate student. He is currently persuing his Ph.D dissertation in Seattle under the supervision of Prof. Michael D. Perlman and Prof. Thomas S. Richardson.

Research interests.

Graphical Markov Models, Multivariate Statistics, Decision Theory, Applications of Statistics,"Combining."

List of publications.

Journal Publications.

  • "Two Step-down Tests for Equality of Covariance Matrices.", Sanjay Chaudhuri and Michael D. Perlman. (submitted to Linear algebra and its applications)
  • "Biases of the maximum likelihood and Cohen-Sackrowitz estimators for the tree-order model.", Sanjay Chaudhuri and Michael D. Perlman. (Accepted in Stat. Prob. Lett.)
  • "On the Bias and Mean-squared Error of Order-restricted Maximum Likelihood Estimators", Sanjay Chaudhuri and Michael D. Perlman, Journal of statistical planning and inference, vol 130, 229-250, 2005.
  • "The Role of Reversals in Order-restricted Inference", Michael D. Perlman and Sanjay Chaudhuri, The Canadian Journal of Statistics, Vol 32, No 2, pp 193-198, 2004..
  • "Quasiperiodic waves at the onset of zero-Prandtl-number convection with rotation.", Krishna Kumar, Sanjay Chaudhuri, and Alaka Das, Physical Review E, Volume 65, 2002.

    Publication in refereed conference proceedings

  • "Using the structure of d-connecting paths as a qualitative measure of strength of dependence.", Sanjay Chaudhuri and Thomas Richardson, Uncertainty in Artificial Intelligence, 2003, Pg 116.

    Technical reports.

  • "On the Bias and Mean-square Error of the Sample Minimum and the Maximum Likelihood Estimator for two Ordered Normal Means", Sanjay Chaudhuri and Mathias Drton, Technical Report no. 432, Department of Statistics, University of Washington, Seattle, July 2003.

    Papers in preparation.

    With Mark S. Handcock and Michael S. Rendall.
  • "Generalised Linear Models Incorporating Population Level Information: An empirical likelihood based approach."
  • "A 2-step empirical likelihood approach for combining sample and population data in regression estimation."
    With Michael D. Perlman.
  • "Consistent estimation of the minimum normal mean under the tree-order restriction."
    With Thomas S. Richardson.
  • "On qualitative measure of strength of dependence in gaussian directed acyclic graphs."
  • "On qualitative measure of strength of dependence in gaussian undirected graphs."

    Ongoing computational project

  • "glmc": A package for combining sample and population information using empirical likelihood. It is written on the R platform.