fields: Tools for spatial data D Nychka, R Furrer, J Paige, S Sain R package version 9 (10.5065), D6W957CT, 2017 | 694* | 2017 |
The North American regional climate change assessment program: overview of phase I results LO Mearns, R Arritt, S Biner, MS Bukovsky, S McGinnis, S Sain, D Caya, ... Bulletin of the American Meteorological Society 93 (9), 1337-1362, 2012 | 537 | 2012 |
A multiresolution Gaussian process model for the analysis of large spatial datasets D Nychka, S Bandyopadhyay, D Hammerling, F Lindgren, S Sain Journal of Computational and Graphical Statistics 24 (2), 579-599, 2015 | 404 | 2015 |
Multidimensional density estimation DW Scott, SR Sain Handbook of statistics 24, 229-261, 2005 | 358 | 2005 |
Cross-validation of multivariate densities SR Sain, KA Baggerly, DW Scott Journal of the American Statistical Association 89 (427), 807-817, 1994 | 338 | 1994 |
fields: Tools for spatial data R Furrer, D Nychka, S Sain R package version 6 (3), 2012 | 258 | 2012 |
Climate change projections of the North American Regional Climate Change Assessment Program (NARCCAP) LS L. O. Mearns, S. Sain, L. R. Leung, M. S. Bukovsky, S. McGinnis, S. Biner ... Climate Change 120 (4), 965–975, 2013 | 227* | 2013 |
Spatial hierarchical modeling of precipitation extremes from a regional climate model D Cooley, SR Sain Journal of agricultural, biological, and environmental statistics 15, 381-402, 2010 | 181 | 2010 |
On locally adaptive density estimation SR Sain, DW Scott Journal of the American Statistical Association 91 (436), 1525-1534, 1996 | 169 | 1996 |
Bayesian functional {ANOVA} modeling using Gaussian process prior distributions CG Kaufman, SR Sain | 163 | 2010 |
Multivariate locally adaptive density estimation SR Sain Computational Statistics & Data Analysis 39 (2), 165-186, 2002 | 155 | 2002 |
Multivariate Bayesian analysis of atmosphere–ocean general circulation models R Furrer, SR Sain, D Nychka, GA Meehl Environmental and ecological statistics 14, 249-266, 2007 | 150 | 2007 |
spam: A sparse matrix R package with emphasis on MCMC methods for Gaussian Markov random fields R Furrer, SR Sain Journal of Statistical Software 36, 1-25, 2010 | 141 | 2010 |
Downscaling extremes: A comparison of extreme value distributions in point-source and gridded precipitation data EC Mannshardt-Shamseldin, RL Smith, SR Sain, LO Mearns, D Cooley The Annals of Applied Statistics, 484-502, 2010 | 114 | 2010 |
A spatial model for multivariate lattice data SR Sain, N Cressie Journal of Econometrics 140 (1), 226-259, 2007 | 113 | 2007 |
Detecting change in UK extreme precipitation using results from the climateprediction.net BBC climate change experiment HJ Fowler, D Cooley, SR Sain, M Thurston Extremes 13, 241-267, 2010 | 106 | 2010 |
A spatial analysis of multivariate output from regional climate models SR Sain, R Furrer, N Cressie The Annals of Applied Statistics, 150-175, 2011 | 99 | 2011 |
Spatial patterns of probabilistic temperature change projections from a multivariate Bayesian analysis R Furrer, R Knutti, SR Sain, DW Nychka, GA Meehl Geophysical Research Letters 34 (6), 2007 | 94 | 2007 |
Influences of climatic and population changes on heat-related mortality in Houston, Texas, USA A Marsha, SR Sain, MJ Heaton, AJ Monaghan, OV Wilhelmi Climatic change 146, 471-485, 2018 | 87 | 2018 |
The impact of extreme heat on morbidity in Milwaukee, Wisconsin AP Bo Li, Steve Sain, Linda O. Mearns, Henry A. Anderson, Sari Kovats ... Climatic Change 110 (3), 959–976, 2012 | 87 | 2012 |