Contact Info

Primary Title: 
Associate Professor
Email Contact: 
Voice Contact: 
(541) 737-1986
Weniger Hall, Room 249


  • PhD in Statistics, University of Washington, Seattle, 2007
  • Bachelor and Masters of Statistics, Indian Statistical Institute, Calcutta, India, 2000, 2002

Research Interests

  • Spatial Statistics
  • MCMC
  • Global seismology
  • Anomaly detection
  • Ecology
  • Time series

Selected Publications

  • Mondal, D. and Wang, C. (2018), "A matrix-free method for spatial-temporal Gaussian state-space models," to appear in Statstica Sinica.
  • Mondal, D. (2018), "On edge correction of conditional and intrinsic autoregressions," to appear in Biometrika.
  • Chaudhuri, S., Mondal, D., and Yin, T. (2017), "Hamiltonian Monte Carlo sampling in Bayesian empirical likelihood computation," Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79(1), 293-320.
  • Mondal, D. and Hinrichs, N. (2016), "Rank Tests from Partially Ordered Data Using Importance and MCMC Sampling Methods," Statistical Science, 31(3), 325-347.
  • Dutta, S. and Mondal, D. (2016), "REML estimation with intrinsic Matérn dependence in the spatial linear mixed model," Electronic Journal of Statistics, 10(2), 2856-2893.
  • Dutta, S. and Mondal, D. (2015), "An h‐likelihood method for spatial mixed linear models based on intrinsic auto‐regressions," Journal of the Royal Statistical Society: Series B (Statistical Methodology), 77(3), 699-726.
  • Mondal, D. (2015), "Applying Dynkin’s isomorphism: an alternative approach to understand the Markov property of the de wijs process," Bernoulli, 21(3), 1289-1303.
  • Besag, J. and Mondal, D. (2013), "Exact Goodness‐of‐Fit Tests for Markov Chains," Biometrics, 69(2), 488-496.
  • Mondal, D. and Percival, D. B. (2010), "Wavelet variance analysis for gappy time series," Annals of the Institute of Statistical Mathematics, 62(5), 943-966.
  • Besag, J. and Mondal, D. (2005), "First-order intrinsic autoregressions and the de Wijs process," Biometrika, 92(4), 909-920.

Instructional and Departmental Activities

  • ST 623 Generalized Regression Models I
  • ST 567 Spatial Statistcs
  • ST 559 Bayesian Statistics
  • ST 541 Probability, Computing, and Simulation in Statistics
  • ST 314 Introduction to Statistics for Engineers

Associate Editor

Honors and Awards:

  • Elected member of the International Statistical Institute, 2016.
  • Young researcher award, International Indian Statistical Association, 2015.
  • Sole Biometrics showcase session paper, JSM, Boston, 2014.
  • Microsoft Junior Travel Award, ISBA World Meeting, Kyoto, Japan, 2012.
  • NSF Career award, 2012.
  • Z.W. Birnbaum award, Department of Statistics, University of Washington, 2005.