Contact Info

Primary Title: 
Assistant Professor
Email Contact: 
Voice Contact: 
(541) 737-1986
Fax Contact: 
(541) 737-3489
Weniger Hall, Room 249


Spatial and environmental statistics, Markov chain Monte Carlo, time series analysis.


Mondal, D. New Directions in Spatial Statistics. NSF CAREER award, 2013 -- 2018

Mondal, D. Connecting Markov Random Fields with Geostatistical Models. NSF 2009 -- 2012.

Selected Publications:

Dutta and Mondal (2016). Variogram calculations for random fields on regular lattices using quadrature methods. To appear in Environmetrics.

Mondal, D. and Hinrichs, N. (2016). Rank tests from partially ordered data with importance and MCMC sampling methods. To appear in Statistical Science.

Dutta, S. and Mondal, D. (2016). Residual maximum likelihood analysis for spatial mixed linear models based on intrinsic Mat ́ern dependence with nugget effects. To appear in Electronic Journal of Statistics.

Chaudhuri, S., Mondal, D. and Yin, T. (2015). Hamiltonian Monte Carlo for Bayesian empirical likelihood computation. To appear in Journal of Royal Statistical Society: Series B

Dutta, S. and Mondal, D. (2015). An h-likelihood method for spatial mixed linear models based on intrinsic autoregressions. Journal of Royal Statistical Society: Series B, 77, 699-726

Mondal, D. (2015). Applying Dynkin's isomorphism: An alternative approach to understand the Markov property of the de Wijs process. Bernoulli, 21, 1289–1303.

Besag, J. and Mondal, D. (2013). Exact Goodness-of-Fit Tests for Markov Chains. Biometrics, 69, 488–496. Featured in Biometrics showcase session, JSM, 2014.

Mondal, D. and Percival, D. B. (2012). Slepian wavelet variances for regularly and irregularly sampled time series. Chapter 38  in Statistical Challenges in Modern Astronomy V, edited by G. J. Babu  and E. D. Feigelson, Springer-Verlag, New York,  403--418.

Mondal, D. and Percival, D. B. (2012). Wavelet variance analysis for random fields. IEEE Transactions on Image Processing, 21, 537–549.

Mondal, D. and Percival, D. B. (2010). Wavelet variance analysis for gappy time series.  Annals of the Institute of Statistical Mathematics, 62, 943--966

Besag, J. E. and Mondal, D. (2005). First–order intrinsic autoregressions and the de Wijs process. Biometrika, 92, 909–920.

Professional Societies/Responsibilities:

Associate Editor:Environmetrics (2014 -- present), JSPI (2016 -- present)

Lead organizer, 2016 International Indian Statistical Association Conference, August 18-21, Oregon State University, Corvallis, USA.

Lead organizer, 2014 Midwest Statistics Colloquium, March 21–22, University of Chicago, Chicago, USA

Ph.D. students:

Chunxiao Wang, Oregon State University, 2015--present

Somak Dutta,  University of Chicago 2015 (now a tenure-track assistant professor at Iowa State University).

Honors and Awards:

Elected member of the International Statistical Institute, 2016.

Young researcher award, International Indian Statistical Association, 2015.

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.

In memoriam: A tribute to Julian Besag


University of Washington, Seattle -- Ph.D. in Statistics (2007)
Indian Statistical Institute, Calcutta, India -- Bachelor and Masters of Statistics (2000, 2002)