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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.
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.
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
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