Semi-nonparametric maximum likelihood estimation AR Gallant, DW Nychka Econometrica: Journal of the econometric society, 363-390, 1987 | 1296 | 1987 |
Covariance tapering for interpolation of large spatial datasets R Furrer, MG Genton, D Nychka Journal of Computational and Graphical Statistics 15 (3), 502-523, 2006 | 877 | 2006 |
Statistical significance of trends and trend differences in layer‐average atmospheric temperature time series BD Santer, TML Wigley, JS Boyle, DJ Gaffen, JJ Hnilo, D Nychka, ... Journal of Geophysical Research: Atmospheres 105 (D6), 7337-7356, 2000 | 707 | 2000 |
Bayesian spatial modeling of extreme precipitation return levels D Cooley, D Nychka, P Naveau Journal of the American Statistical Association 102 (479), 824-840, 2007 | 631 | 2007 |
Covariance tapering for likelihood-based estimation in large spatial data sets CG Kaufman, MJ Schervish, DW Nychka Journal of the American Statistical Association 103 (484), 1545-1555, 2008 | 621 | 2008 |
fields: Tools for spatial data D Nychka, R Furrer, J Paige, S Sain R package version 9 (10.5065), D6W957CT, 2017 | 613 | 2017 |
Finding chaos in noisy systems D Nychka, S Ellner, AR Gallant, D McCaffrey Journal of the Royal Statistical Society: Series B (Methodological) 54 (2 …, 1992 | 481 | 1992 |
Fitting the term structure of interest rates with smoothing splines M Fisher, DW Nychka, D Zervos Federal Reserve System Working Paper, 2000 | 435 | 2000 |
A case study competition among methods for analyzing large spatial data MJ Heaton, A Datta, AO Finley, R Furrer, J Guinness, R Guhaniyogi, ... Journal of Agricultural, Biological and Environmental Statistics 24, 398-425, 2019 | 428 | 2019 |
Bayesian confidence intervals for smoothing splines D Nychka Journal of the American Statistical Association 83 (404), 1134-1143, 1988 | 387 | 1988 |
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 | 385 | 2015 |
A smoothed EM approach to indirect estimation problems, with particular reference to stereology and emission tomography BW Silverman, MC Jones, JD Wilson, DW Nychka Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1990 | 362 | 1990 |
Consistency of modelled and observed temperature trends in the tropical troposphere BD Santer, P Thorne, L Haimberger, KE Taylor, TM Wigley, J Lanzante, ... International Journal of Climatology 28 (13), 1703-1722, 2008 | 342 | 2008 |
Exploring fitness surfaces D Schluter, D Nychka The American Naturalist 143 (4), 597-616, 1994 | 333 | 1994 |
Multiresolution models for nonstationary spatial covariance functions D Nychka, C Wikle, JA Royle Statistical Modelling 2 (4), 315-331, 2002 | 281 | 2002 |
fields: Tools for spatial data R Furrer, D Nychka, S Sain R package version 6 (3), 2012 | 257 | 2012 |
Spatial analysis to quantify numerical model bias and dependence: how many climate models are there? M Jun, R Knutti, DW Nychka Journal of the American Statistical Association 103 (483), 934-947, 2008 | 251 | 2008 |
Design of air-quality monitoring networks D Nychka, N Saltzman Case studies in environmental statistics, 51-76, 1998 | 236 | 1998 |
Estimating the Lyapunov exponent of a chaotic system with nonparametric regression DF McCaffrey, S Ellner, AR Gallant, DW Nychka Journal of the American Statistical Association 87 (419), 682-695, 1992 | 228 | 1992 |
Climate spectra and detecting climate change P Bloomfield, D Nychka Climatic Change 21 (3), 275-287, 1992 | 227 | 1992 |