Debashis Mondal
Debashis Mondal
Associate Professor, Oregon State University
Verified email at stat.oregonstate.edu - Homepage
Title
Cited by
Cited by
Year
Wavelet variance analysis for gappy time series
D Mondal, DB Percival
Annals of the Institute of Statistical Mathematics 62 (5), 943-966, 2010
562010
First-order intrinsic autoregressions and the de Wijs process
J Besag, D Mondal
Biometrika 92 (4), 909-920, 2005
562005
Exact Goodness‐of‐Fit Tests for Markov Chains
J Besag, D Mondal
Biometrics 69 (2), 488-496, 2013
302013
Wavelet variance analysis for random fields on a regular lattice
D Mondal, DB Percival
IEEE Transactions on Image Processing 21 (2), 537-549, 2012
262012
An h‐likelihood method for spatial mixed linear models based on intrinsic auto‐regressions
S Dutta, D Mondal
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2015
202015
Hamiltonian Monte Carlo sampling in Bayesian empirical likelihood computation
S Chaudhuri, D Mondal, T Yin
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017
172017
M-estimation of wavelet variance
D Mondal, DB Percival
Annals of the Institute of Statistical Mathematics 64 (1), 27-53, 2012
172012
A wavelet variance primer
DB Percival, D Mondal
Handbook of statistics 30, 623-657, 2012
142012
Water quality monitoring of tropical ponds: location and depth effect in two case studies
G Mukhopadhyay, D Mondal, P Biswas, A Dewanji
Acta hydrochimica et hydrobiologica 32 (2), 138-148, 2004
142004
REML estimation with intrinsic Matérn dependence in the spatial linear mixed model
S Dutta, D Mondal
Electronic Journal of Statistics 10 (2), 2856-2893, 2016
9*2016
Wavelet variance analysis for time series and random fields
D Mondal
Dissertation Abstracts International 68 (07), 2007
82007
Evidence of systematic triggering at teleseismic distances following large earthquakes
RT O˘Malley, D Mondal, C Goldfinger, MJ Behrenfeld
Scientific reports 8 (1), 11611, 2018
62018
Variogram calculations for first-order intrinsic autoregressions and the de Wijs process
D Mondal
Technical Report 479, Department of Statistics, University of Washington, 2005
62005
Discussion on the paper Geostatistical inference under preferential sampling by Diggle, Menezes and Su
H Rue, S Martino, D Mondal, N Chopin
Journal of the Royal Statistical Society, Series C 52 (221-223), 56-58, 2010
52010
Variogram calculations for random fields on regular lattices using quadrature methods
S Dutta, D Mondal
Environmetrics 27 (7), 380-395, 2016
42016
Applying Dynkin˘s isomorphism: an alternative approach to understand the Markov property of the de wijs process
D Mondal
Bernoulli 21 (3), 1289-1303, 2015
42015
Slepian wavelet variances for regularly and irregularly sampled time series
D Mondal, DB Percival
Statistical Challenges in Modern Astronomy V, 403-418, 2012
42012
Wavelet variances for heavy‐tailed time series
RV Fonseca, D Mondal, L Zhang
DOI: 10.1002/env.2563, 2019
3*2019
On edge correction of conditional and intrinsic autoregressions
D Mondal
Biometrika 105 (2), 447-454, 2018
3*2018
Generalized Gaussian Markov random fields and modeling disease risk
D Mondal
Under revision, 2015
32015
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Articles 1–20