| Year |
Citation |
Score |
| 2023 |
Berliner LM, Herbei R, Wikle CK, Milliff RF. Excursions in the Bayesian treatment of model error. Plos One. 18: e0286624. PMID 37267337 DOI: 10.1371/journal.pone.0286624 |
0.775 |
|
| 2022 |
Wikle CK, Datta A, Hari BV, Boone EL, Sahoo I, Kavila I, Castruccio S, Simmons SJ, Burr WS, Chang W. An illustration of model agnostic explainability methods applied to environmental data. Environmetrics. 34. PMID 37200542 DOI: 10.1002/env.2772 |
0.366 |
|
| 2020 |
Laubmeier AN, Cazelles B, Cuddington K, Erickson KD, Fortin MJ, Ogle K, Wikle CK, Zhu K, Zipkin EF. Ecological Dynamics: Integrating Empirical, Statistical, and Analytical Methods. Trends in Ecology & Evolution. PMID 32933777 DOI: 10.1016/J.Tree.2020.08.006 |
0.529 |
|
| 2020 |
Hooten M, Wikle C, Schwob M. Statistical Implementations of Agent-Based Demographic Models. International Statistical Review. 88: 441-461. PMID 32834401 DOI: 10.1111/Insr.12399 |
0.688 |
|
| 2020 |
Zammit-Mangion A, Wikle CK. Deep integro-difference equation models for spatio-temporal forecasting Spatial Statistics. 37: 100408. DOI: 10.1016/J.Spasta.2020.100408 |
0.502 |
|
| 2020 |
Schafer TLJ, Wikle CK, VonBank JA, Ballard BM, Weegman MD. A Bayesian Markov Model with Pólya-Gamma Sampling for Estimating Individual Behavior Transition Probabilities from Accelerometer Classifications Journal of Agricultural Biological and Environmental Statistics. 25: 365-382. DOI: 10.1007/S13253-020-00399-Y |
0.365 |
|
| 2019 |
McDermott PL, Wikle CK. Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data. Entropy (Basel, Switzerland). 21. PMID 33266899 DOI: 10.3390/e21020184 |
0.386 |
|
| 2019 |
Bradley JR, Wikle CK, Holan SH. Hierarchical Models for Spatial Data with Errors that are Correlated with the Latent Process Statistica Sinica. DOI: 10.5705/Ss.202016.0230 |
0.448 |
|
| 2019 |
McDermott P, Wikle C. Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data Entropy. 21: 184. DOI: 10.3390/E21020184 |
0.484 |
|
| 2019 |
Wikle CK, Ver Hoef JM. A Conversation with Noel Cressie Statistical Science. 34: 349-359. DOI: 10.1214/19-Sts695 |
0.349 |
|
| 2019 |
Bradley JR, Wikle CK, Holan SH. Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution Journal of Time Series Analysis. 40: 363-382. DOI: 10.1111/Jtsa.12468 |
0.401 |
|
| 2019 |
Bradley JR, Holan SH, Wikle CK. Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family Journal of the American Statistical Association. 1-16. DOI: 10.1080/01621459.2019.1677471 |
0.346 |
|
| 2019 |
Katzfuss M, Stroud JR, Wikle CK. Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models Journal of the American Statistical Association. 115: 866-885. DOI: 10.1080/01621459.2019.1592753 |
0.389 |
|
| 2019 |
Gopalan G, Hrafnkelsson B, Wikle CK, Rue H, Aðalgeirsdóttir G, Jarosch AH, Pálsson F. A Hierarchical Spatiotemporal Statistical Model Motivated by Glaciology Journal of Agricultural Biological and Environmental Statistics. 24: 669-692. DOI: 10.1007/S13253-019-00367-1 |
0.444 |
|
| 2019 |
Wikle CK. Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data Journal of Agricultural, Biological and Environmental Statistics. 24: 175-203. DOI: 10.1007/S13253-019-00361-7 |
0.493 |
|
| 2018 |
McDermott PL, Wikle CK, Millspaugh J. A hierarchical spatiotemporal analog forecasting model for count data. Ecology and Evolution. 8: 790-800. PMID 29321914 DOI: 10.1002/Ece3.3621 |
0.501 |
|
| 2018 |
Bradley JR, Holan SH, Wikle CK. Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data (with Discussion) Bayesian Analysis. 13: 253-310. DOI: 10.1214/17-Ba1069 |
0.411 |
|
| 2018 |
Stroud JR, Katzfuss M, Wikle CK. A Bayesian Adaptive Ensemble Kalman Filter for Sequential State and Parameter Estimation Monthly Weather Review. 146: 373-386. DOI: 10.1175/Mwr-D-16-0427.1 |
0.368 |
|
| 2018 |
Quick H, Holan SH, Wikle CK. Generating partially synthetic geocoded public use data with decreased disclosure risk by using differential smoothing Journal of the Royal Statistical Society: Series a (Statistics in Society). 181: 649-661. DOI: 10.1111/Rssa.12360 |
0.378 |
|
| 2017 |
Wikle CK. Ecological Impacts of Climate Change: the Importance of Temporal and Spatial Synchrony Chance. 30: 45-54. DOI: 10.1080/09332480.2017.1406759 |
0.329 |
|
| 2017 |
McDermott PL, Wikle CK, Millspaugh J. Hierarchical Nonlinear Spatio-temporal Agent-Based Models for Collective Animal Movement Journal of Agricultural, Biological and Environmental Statistics. 22: 294-312. DOI: 10.1007/S13253-017-0289-2 |
0.463 |
|
| 2017 |
Wikle CK. José-María Montero, Gema Fernández-Avilés, and Jorge Mateu: Spatial and Spatio-Temporal Geostatistical Modeling and Kriging Journal of Agricultural, Biological and Environmental Statistics. 22: 420-422. DOI: 10.1007/S13253-017-0288-3 |
0.42 |
|
| 2016 |
Rota CT, Wikle CK, Kays RW, Forrester TD, McShea WJ, Parsons AW, Millspaugh JJ. A two-species occupancy model accommodating simultaneous spatial and interspecific dependence. Ecology. 97: 48-53. PMID 27008774 DOI: 10.1890/15-1193.1 |
0.489 |
|
| 2016 |
Crawford WJ, Smith PJ, Milliff RF, Fiechter J, Wikle CK, Edwards CA, Moore AM. Weak constraint four-dimensional variational data assimilation in a model of the California Current System Advances in Statistical Climatology, Meteorology and Oceanography. 2: 171-192. DOI: 10.5194/ASCMO-2-171-2016 |
0.377 |
|
| 2016 |
Gladish DW, Kuhnert PM, Pagendam DE, Wikle CK, Bartley R, Searle RD, Ellis RJ, Dougall C, Turner RDR, Lewis SE, Bainbridge ZT, Brodie JE. Spatio-temporal assimilation of modelled catchment loads with monitoring data in the great Barrier Reef Annals of Applied Statistics. 10: 1590-1618. DOI: 10.1214/16-Aoas950 |
0.482 |
|
| 2016 |
Yang WH, Holan SH, Wikle CK. Bayesian lattice filters for time-varying autoregression and time-frequency analysis Bayesian Analysis. 11: 977-1003. DOI: 10.1214/15-Ba978 |
0.419 |
|
| 2016 |
Bradley JR, Wikle CK, Holan SH. Regionalization of multiscale spatial processes by using a criterion for spatial aggregation error Journal of the Royal Statistical Society. Series B: Statistical Methodology. DOI: 10.1111/Rssb.12179 |
0.386 |
|
| 2016 |
Wikle CK, Leeds WB, Hooten MB. Models for Ecological Models: Ocean Primary Productivity Chance. 29: 23-30. DOI: 10.1080/09332480.2016.1181962 |
0.631 |
|
| 2016 |
Bradley JR, Wikle CK, Holan SH. Bayesian Spatial Change of Support for Count-Valued Survey Data With Application to the American Community Survey Journal of the American Statistical Association. 111: 472-487. DOI: 10.1080/01621459.2015.1117471 |
0.426 |
|
| 2016 |
Katzfuss M, Stroud JR, Wikle CK. Understanding the Ensemble Kalman Filter The American Statistician. 70: 350-357. DOI: 10.1080/00031305.2016.1141709 |
0.368 |
|
| 2015 |
Yang WH, Wikle CK, Holan SH, Myers DB, Sudduth KA. Bayesian analysis of spatially-dependent functional responses with spatially-dependent multi-dimensional functional predictors Statistica Sinica. 25: 205-223. DOI: 10.5705/Ss.2013.245W |
0.447 |
|
| 2015 |
Bradley JR, Holan SH, Wikle CK. Multivariate spatio-temporal models for high-dimensional areal data with application to longitudinal employer-household dynamics Annals of Applied Statistics. 9: 1761-1791. DOI: 10.1214/15-Aoas862 |
0.527 |
|
| 2015 |
Wu G, Holan SH, Nilon CH, Wikle CK. Bayesian binomial mixture models for estimating abundance in ecological monitoring studies Annals of Applied Statistics. 9: 1-26. DOI: 10.1214/14-Aoas801 |
0.464 |
|
| 2015 |
Wildhaber ML, Wikle CK, Moran EH, Anderson CJ, Franz KJ, Dey R. Hierarchical stochastic modelling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example Geological Society, London, Special Publications. 408: 119-145. DOI: 10.1144/Sp408.11 |
0.45 |
|
| 2015 |
Wildhaber ML, Dey R, Wikle CK, Moran EH, Anderson CJ, Franz KJ. A stochastic bioenergetics model-based approach to translating large river flow and temperature into fish population responses: the pallid sturgeon example Geological Society, London, Special Publications. 408: 101-118. DOI: 10.1144/Sp408.10 |
0.332 |
|
| 2015 |
Porter AT, Wikle CK, Holan SH. Small Area Estimation Via Multivariate Fay-Herriot Models With Latent Spatial Dependence Australian and New Zealand Journal of Statistics. 57: 15-29. DOI: 10.1111/Anzs.12101 |
0.464 |
|
| 2015 |
Quick H, Holan SH, Wikle CK, Reiter JP. Bayesian marked point process modeling for generating fully synthetic public use data with point-referenced geography Spatial Statistics. 14: 439-451. DOI: 10.1016/J.Spasta.2015.07.008 |
0.42 |
|
| 2015 |
Porter AT, Holan SH, Wikle CK. Bayesian semiparametric hierarchical empirical likelihood spatial models Journal of Statistical Planning and Inference. 165: 78-90. DOI: 10.1016/J.Jspi.2015.04.002 |
0.536 |
|
| 2015 |
Porter AT, Holan SH, Wikle CK. Multivariate spatial hierarchical Bayesian empirical likelihood methods for small area estimation Stat. 4: 108-116. DOI: 10.1002/sta4.81 |
0.315 |
|
| 2015 |
McDermott PL, Wikle CK. A model-based approach for analog spatio-temporal dynamic forecasting Environmetrics. 27: 70-82. DOI: 10.1002/Env.2374 |
0.482 |
|
| 2014 |
Song Y, Li Y, Bates B, Wikle CK. A Bayesian hierarchical downscaling model for south-west Western Australia rainfall Journal of the Royal Statistical Society. Series C: Applied Statistics. 63: 715-736. DOI: 10.1111/Rssc.12055 |
0.435 |
|
| 2014 |
Leeds W, Wikle C, Fiechter J. Emulator-assisted reduced-rank ecological data assimilation for nonlinear multivariate dynamical spatio-temporal processes Statistical Methodology. 17: 126-138. DOI: 10.1016/J.Stamet.2012.11.004 |
0.518 |
|
| 2014 |
Porter AT, Holan SH, Wikle CK, Cressie N. Spatial Fay-Herriot models for small area estimation with functional covariates Spatial Statistics. 10: 27-42. DOI: 10.1016/J.Spasta.2014.07.001 |
0.472 |
|
| 2014 |
Wikle CK. Modern perspectives on statistics for spatio-temporal data Wiley Interdisciplinary Reviews: Computational Statistics. 7: 86-98. DOI: 10.1002/Wics.1341 |
0.537 |
|
| 2014 |
Dobricic S, Wikle CK, Milliff RF, Pinardi N, Berliner LM. Assimilation of oceanographic observations with estimates of vertical background-error covariances by a Bayesian hierarchical model Quarterly Journal of the Royal Meteorological Society. 141: 182-194. DOI: 10.1002/Qj.2348 |
0.426 |
|
| 2014 |
Gladish D, Wikle C. Physically motivated scale interaction parameterization in reduced rank quadratic nonlinear dynamic spatio-temporal models Environmetrics. 25: 230-244. DOI: 10.1002/Env.2266 |
0.468 |
|
| 2014 |
Gladish DW, Wikle CK, Holan SH. Covariate-based cepstral parameterizations for time-varying spatial error covariances Environmetrics. 25: 69-83. DOI: 10.1002/Env.2259 |
0.51 |
|
| 2014 |
Pagendam D, Kuhnert P, Leeds W, Wikle C, Bartley R, Peterson E. Assimilating catchment processes with monitoring data to estimate sediment loads to the Great Barrier Reef Environmetrics. 25: 214-229. DOI: 10.1002/Env.2255 |
0.358 |
|
| 2013 |
Milliff RF, Fiechter J, Leeds WB, Herbei R, Wikle CK, Hooten MB, Moore AM, Powell TM, Brown J. Uncertainty management in coupled physical-biological lower trophic level ocean ecosystem models Oceanography. 26: 98-115. DOI: 10.5670/Oceanog.2013.78 |
0.6 |
|
| 2013 |
Wikle CK, Milliff RF, Herbei R, Leeds WB. Modern Statistical Methods in Oceanography: A Hierarchical Perspective Statistical Science. 28: 466-486. DOI: 10.1214/13-Sts436 |
0.492 |
|
| 2013 |
Oleson JJ, Wikle CK. Predicting infectious disease outbreak risk via migratory waterfowl vectors Journal of Applied Statistics. 40: 656-673. DOI: 10.1080/02664763.2012.750286 |
0.395 |
|
| 2013 |
Fiechter J, Herbei R, Leeds W, Brown J, Milliff R, Wikle C, Moore A, Powell T. A Bayesian parameter estimation method applied to a marine ecosystem model for the coastal Gulf of Alaska Ecological Modelling. 258: 122-133. DOI: 10.1016/J.Ecolmodel.2013.03.003 |
0.775 |
|
| 2013 |
Wikle CK, Holan SH, Hooten MB. Guest Editor's Introduction to the Special Issue on "Modern Dimension Reduction Methods for Big Data Problems in Ecology" Journal of Agricultural, Biological, and Environmental Statistics. 18: 271-273. DOI: 10.1007/S13253-013-0151-0 |
0.566 |
|
| 2013 |
Yang WH, Wikle CK, Holan SH, Wildhaber ML. Ecological Prediction With Nonlinear Multivariate Time-Frequency Functional Data Models Journal of Agricultural, Biological, and Environmental Statistics. 18: 450-474. DOI: 10.1007/S13253-013-0142-1 |
0.402 |
|
| 2013 |
Wu G, Holan SH, Wikle CK. Hierarchical Bayesian Spatio-Temporal Conway-Maxwell Poisson Models with Dynamic Dispersion Journal of Agricultural, Biological, and Environmental Statistics. 18: 335-356. DOI: 10.1007/S13253-013-0141-2 |
0.532 |
|
| 2012 |
Micheas AC, Wikle CK, Larsen DR. Random set modelling of three-dimensional objects in a hierarchical Bayesian context Journal of Statistical Computation and Simulation. 84: 107-123. DOI: 10.1080/00949655.2012.696647 |
0.368 |
|
| 2012 |
Leeds WB, Wikle CK. Science-based parameterizations for dynamical spatiotemporal models Wiley Interdisciplinary Reviews: Computational Statistics. 4: 554-560. DOI: 10.1002/Wics.1227 |
0.524 |
|
| 2012 |
Leeds WB, Wikle CK, Fiechter J, Brown J, Milliff RF. Modeling 3-D spatio-temporal biogeochemical processes with a forest of 1-D statistical emulators Environmetrics. 24: 1-12. DOI: 10.1002/Env.2187 |
0.534 |
|
| 2012 |
Guttorp P, Sain SR, Wikle CK. Advances in statistical methods for climate analysis Environmetrics. 23: 363. DOI: 10.1002/Env.2156 |
0.302 |
|
| 2012 |
Arab A, Holan SH, Wikle CK, Wildhaber ML. Semiparametric bivariate zero-inflated Poisson models with application to studies of abundance for multiple species Environmetrics. 23: 183-196. DOI: 10.1002/Env.1142 |
0.751 |
|
| 2012 |
Holan SH, Yang WH, Matteson DS, Wikle CK. An approach for identifying and predicting economic recessions in real-time using time-frequency functional models Applied Stochastic Models in Business and Industry. 28: 485-499. DOI: 10.1002/Asmb.1954 |
0.429 |
|
| 2012 |
Holan SH, Wikle CK. Semiparametric Dynamic Design of Monitoring Networks for Non-Gaussian Spatio-Temporal Data Spatio-Temporal Design: Advances in Efficient Data Acquisition. 269-284. DOI: 10.1002/9781118441862.ch12 |
0.325 |
|
| 2011 |
Wikle CK, Holan SH. Polynomial nonlinear spatio-temporal integro-difference equation models Journal of Time Series Analysis. 32: 339-350. DOI: 10.1111/J.1467-9892.2011.00729.X |
0.503 |
|
| 2011 |
Hooten MB, Leeds WB, Fiechter J, Wikle CK. Assessing First-Order Emulator Inference for Physical Parameters in Nonlinear Mechanistic Models Journal of Agricultural, Biological, and Environmental Statistics. 16: 475-494. DOI: 10.1007/S13253-011-0073-7 |
0.675 |
|
| 2011 |
Pinardi N, Bonazzi A, Dobricic S, Milliff RF, Wikle CK, Berliner LM. Ocean ensemble forecasting. Part II: Mediterranean Forecast System response Quarterly Journal of the Royal Meteorological Society. 137: 879-893. DOI: 10.1002/Qj.816 |
0.33 |
|
| 2011 |
Milliff RF, Bonazzi A, Wikle CK, Pinardi N, Berliner LM. Ocean ensemble forecasting. Part I: Ensemble Mediterranean winds from a Bayesian hierarchical model Quarterly Journal of the Royal Meteorological Society. 137: 858-878. DOI: 10.1002/Qj.767 |
0.469 |
|
| 2010 |
Holan SH, Wikle CK, Sullivan-Beckers LE, Cocroft RB. Modeling complex phenotypes: generalized linear models using spectrogram predictors of animal communication signals. Biometrics. 66: 914-24. PMID 19764952 DOI: 10.1111/J.1541-0420.2009.01331.X |
0.376 |
|
| 2010 |
Hooten MB, Wikle CK. Statistical Agent-Based Models for Discrete Spatio-Temporal Systems Journal of the American Statistical Association. 105: 236-248. DOI: 10.1198/Jasa.2009.Tm09036 |
0.668 |
|
| 2010 |
Wikle CK, Hooten MB. Rejoinder on: A general science-based framework for dynamical spatio-temporal models Test. 19: 466-468. DOI: 10.1007/S11749-010-0214-2 |
0.647 |
|
| 2010 |
Wikle CK, Hooten MB. A general science-based framework for dynamical spatio-temporal models Test. 19: 417-451. DOI: 10.1007/S11749-010-0209-Z |
0.709 |
|
| 2009 |
Cressie N, Calder CA, Clark JS, Ver Hoef JM, Wikle CK. Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. Ecological Applications : a Publication of the Ecological Society of America. 19: 553-70. PMID 19425416 DOI: 10.1890/07-0744.1 |
0.517 |
|
| 2009 |
Sheng Y, Wikle CK. Bayesian Irt Models Incorporating General and Specific Abilities Behaviormetrika. 36: 27-48. DOI: 10.2333/Bhmk.36.27 |
0.458 |
|
| 2009 |
Micheas AC, Wikle CK. A Bayesian Hierarchical Nonoverlapping Random Disc Growth Model Journal of the American Statistical Association. 104: 274-283. DOI: 10.1198/Jasa.2009.0124 |
0.487 |
|
| 2009 |
Hooten MB, Wikle CK, Sheriff SL, Rushin JW. Optimal spatio-temporal hybrid sampling designs for ecological monitoring Journal of Vegetation Science. 20: 639-649. DOI: 10.1111/J.1654-1103.2009.01040.X |
0.619 |
|
| 2008 |
Arab A, Wildhaber ML, Wikle CK, Gentry CN. Zero-Inflated Modeling of Fish Catch per Unit Area Resulting from Multiple Gears: Application to Channel Catfish and Shovelnose Sturgeon in the Missouri River North American Journal of Fisheries Management. 28: 1044-1058. DOI: 10.1577/M06-250.1 |
0.677 |
|
| 2008 |
Malmberg A, Arellano A, Edwards DP, Flyer N, Nychka D, Wikle C. Interpolating fields of carbon monoxide data using a hybrid statistical-physical model Annals of Applied Statistics. 2: 1231-1248. DOI: 10.1214/08-Aoas168 |
0.441 |
|
| 2008 |
Sheng Y, Wikle CK. Bayesian Multidimensional IRT Models With a Hierarchical Structure Educational and Psychological Measurement. 68: 413-430. DOI: 10.1177/0013164407308512 |
0.472 |
|
| 2007 |
Hooten MB, Wikle CK, Dorazio RM, Royle JA. Hierarchical spatiotemporal matrix models for characterizing invasions. Biometrics. 63: 558-67. PMID 17688508 DOI: 10.1111/J.1541-0420.2006.00725.X |
0.646 |
|
| 2007 |
Sheng Y, Wikle CK. Comparing Multiunidimensional and Unidimensional Item Response Theory Models Educational and Psychological Measurement. 67: 899-919. DOI: 10.1177/0013164406296977 |
0.411 |
|
| 2007 |
Song Y, Wikle CK, Anderson CJ, Lack SA. Bayesian Estimation of Stochastic Parameterizations in a Numerical Weather Forecasting Model Monthly Weather Review. 135: 4045-4059. DOI: 10.1175/2007Mwr1928.1 |
0.479 |
|
| 2007 |
Wikle CK, Berliner LM. A Bayesian tutorial for data assimilation Physica D: Nonlinear Phenomena. 230: 1-16. DOI: 10.1016/J.Physd.2006.09.017 |
0.431 |
|
| 2007 |
Berliner LM, Wikle CK. Approximate importance sampling Monte Carlo for data assimilation Physica D: Nonlinear Phenomena. 230: 37-49. DOI: 10.1016/J.Physd.2006.07.031 |
0.339 |
|
| 2007 |
Xu K, Wikle CK. Estimation of parameterized spatio-temporal dynamic models Journal of Statistical Planning and Inference. 137: 567-588. DOI: 10.1016/J.Jspi.2005.12.005 |
0.499 |
|
| 2007 |
Micheas AC, Fox NI, Lack SA, Wikle CK. Cell identification and verification of QPF ensembles using shape analysis techniques Journal of Hydrology. 343: 105-116. DOI: 10.1016/J.Jhydrol.2007.05.036 |
0.349 |
|
| 2007 |
Hooten MB, Wikle CK. A hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove Environmental and Ecological Statistics. 15: 59-70. DOI: 10.1007/S10651-007-0040-1 |
0.672 |
|
| 2007 |
Hooten MB, Wikle CK. Shifts in the spatio-temporal growth dynamics of shortleaf pine Environmental and Ecological Statistics. 14: 207-227. DOI: 10.1007/S10651-007-0016-1 |
0.627 |
|
| 2006 |
Hooten MB, Wikle CK. Spatio-temporal processes in ecology: a gentle introduction Journal of Biogeography. 33: 1150-1151. DOI: 10.1111/J.1365-2699.2006.01499.X |
0.603 |
|
| 2006 |
He HS, Dey DC, Fan X, Hooten MB, Kabrick JM, Wikle CK, Fan Z. Mapping pre-European settlement vegetation at fine resolutions using a hierarchical Bayesian model and GIS Plant Ecology. 191: 85-94. DOI: 10.1007/S11258-006-9216-2 |
0.637 |
|
| 2005 |
Wikle CK. Atmospheric Modeling, Data Assimilation, and Predictability Technometrics. 47: 521-521. DOI: 10.1198/Tech.2005.S326 |
0.408 |
|
| 2005 |
Xu K, Wikle CK, Fox NI. A kernel-based spatio-temporal dynamical model for nowcasting weather radar reflectivities Journal of the American Statistical Association. 100: 1133-1144. DOI: 10.1198/016214505000000682 |
0.479 |
|
| 2005 |
Wikle CK, Berliner LM. Combining Information Across Spatial Scales Technometrics. 47: 80-91. DOI: 10.1198/004017004000000572 |
0.376 |
|
| 2005 |
Fox NI, Wikle CK. A Bayesian quantitative precipitation nowcast scheme Weather and Forecasting. 20: 264-275. DOI: 10.1175/Waf845.1 |
0.348 |
|
| 2005 |
Cripps E, Nott D, Dunsmuir WT, Wikle C. SPACE-TIME MODELLING OF SYDNEY HARBOUR WINDS Australian New Zealand Journal of Statistics. 47: 3-17. DOI: 10.1111/J.1467-842X.2005.00368.X |
0.457 |
|
| 2005 |
Royle JA, Wikle CK. Efficient statistical mapping of avian count data Environmental and Ecological Statistics. 12: 225-243. DOI: 10.1007/S10651-005-1043-4 |
0.501 |
|
| 2005 |
Wikle CK, Royle JA. Dynamic design of ecological monitoring networks for non-Gaussian spatio-temporal data Environmetrics. 16: 507-522. DOI: 10.1002/Env.718 |
0.427 |
|
| 2005 |
Fox NI, Wikle CK. Providing distributed forecasts of precipitation using a Bayesian nowcast scheme Atmospheric Science Letters. 6: 59-65. DOI: 10.1002/Asl.93 |
0.329 |
|
| 2003 |
Wikle CK. HIERARCHICAL BAYESIAN MODELS FOR PREDICTING THE SPREAD OF ECOLOGICAL PROCESSES Ecology. 84: 1382-1394. DOI: 10.1890/0012-9658(2003)084[1382:Hbmfpt]2.0.Co;2 |
0.48 |
|
| 2003 |
Wikle CK. Modeling Hydrologic Change: Statistical Methods Technometrics. 45: 366-367. DOI: 10.1198/Tech.2003.S170 |
0.399 |
|
| 2003 |
Hoar TJ, Milliff RF, Nychka D, Wikle CK, Berliner LM. Winds from a Bayesian Hierarchical Model: Computation for Atmosphere-Ocean Research Journal of Computational and Graphical Statistics. 12: 781-807. DOI: 10.1198/1061860032616 |
0.4 |
|
| 2003 |
Wikle CK, Berliner LM, Milliff RF. Hierarchical Bayesian Approach to Boundary Value Problems with Stochastic Boundary Conditions Monthly Weather Review. 131: 1051-1062. DOI: 10.1175/1520-0493(2003)131<1051:Hbatbv>2.0.Co;2 |
0.363 |
|
| 2003 |
Wikle CK. Hierarchical Models in Environmental Science International Statistical Review. 71: 181-199. DOI: 10.1111/J.1751-5823.2003.Tb00192.X |
0.334 |
|
| 2003 |
Wikle CK, Anderson CJ. Climatological analysis of tornado report counts using a hierarchical Bayesian spatiotemporal model Journal of Geophysical Research: Atmospheres. 108: n/a-n/a. DOI: 10.1029/2002Jd002806 |
0.492 |
|
| 2003 |
Hooten MB, Larsen DR, Wikle CK. Landscape Ecology. 18: 487-502. DOI: 10.1023/A:1026001008598 |
0.686 |
|
| 2002 |
Nychka D, Wikle C, Royle JA. Multiresolution models for nonstationary spatial covariance functions Statistical Modelling: An International Journal. 2: 315-331. DOI: 10.1191/1471082X02St037Oa |
0.476 |
|
| 2002 |
Wikle CK. A kernel-based spectral model for non-Gaussian spatio-temporal processes Statistical Modelling: An International Journal. 2: 299-314. DOI: 10.1191/1471082X02St036Oa |
0.388 |
|
| 2001 |
Wikle CK, Milliff RF, Nychka D, Berliner LM. Spatiotemporal Hierarchical Bayesian Modeling: Tropical Ocean Surface Winds Journal of the American Statistical Association. 96: 382-397. DOI: 10.1198/016214501753168109 |
0.464 |
|
| 2000 |
Berliner LM, Wikle CK, Cressie N. Long-lead prediction of Pacific SSTs via Bayesian dynamic modeling Journal of Climate. 13: 3953-3968. DOI: 10.1175/1520-0442(2001)013<3953:Llpops>2.0.Co;2 |
0.489 |
|
| 1999 |
Wikle CK, Royle JA. Space: Time Dynamic Design of Environmental Monitoring Networks Journal of Agricultural, Biological, and Environmental Statistics. 4: 489. DOI: 10.2307/1400504 |
0.366 |
|
| 1999 |
Brown TJ, Berliner LM, Wilks DS, Richman MB, Wikle CK. Statistics Education in the Atmospheric Sciences Bulletin of the American Meteorological Society. 80: 2087-2097. DOI: 10.1175/1520-0477(1999)080<2087:Seitas>2.0.Co;2 |
0.345 |
|
| 1999 |
Wikle CK, Milliff RF, Large WG. Surface Wind Variability on Spatial Scales from 1 to 1000 km Observed during TOGA COARE Journal of the Atmospheric Sciences. 56: 2222-2231. DOI: 10.1175/1520-0469(1999)056<2222:Swvoss>2.0.Co;2 |
0.334 |
|
| 1999 |
Wikle C. A dimension-reduced approach to space-time Kalman filtering Biometrika. 86: 815-829. DOI: 10.1093/Biomet/86.4.815 |
0.413 |
|
| 1998 |
Wikle CK, Berliner LM, Cressie N. Hierarchical Bayesian space-time models Environmental and Ecological Statistics. 5: 117-154. DOI: 10.1023/A:1009662704779 |
0.483 |
|
| 1997 |
Wikle CK, Madden RA, Chen T. Seasonal Variation of Upper Tropospheric and Lower Stratospheric Equatorial Waves over the Tropical Pacific Journal of the Atmospheric Sciences. 54: 1895-1909. DOI: 10.1175/1520-0469(1997)054<1895:Svouta>2.0.Co;2 |
0.338 |
|
| 1996 |
Chen T, Chen J, Wikle CK. Interdecadal Variation in U.S. Pacific Coast Precipitation over the Past Four Decades Bulletin of the American Meteorological Society. 77: 1197-1205. DOI: 10.1175/1520-0477(1996)077<1197:Iviupc>2.0.Co;2 |
0.435 |
|
| 1996 |
Wikle CK, Chen T. On the Semiannual Variation in the Northern Hemisphere Extratropical Height Field Journal of Climate. 9: 2250-2258. DOI: 10.1175/1520-0442(1996)009<2250:Otsvit>2.0.Co;2 |
0.478 |
|
| 1996 |
Chen T, Pfaendtner J, Chen J, Wikle CK. Variability of the global precipitable water with a timescale of 90-150 days Journal of Geophysical Research: Atmospheres. 101: 9323-9332. DOI: 10.1029/95Jd02369 |
0.472 |
|
| 1995 |
Wikle CK, Sherman PJ, Chen T. Identifying Periodic Components in Atmospheric Data Using a Family of Minimum Variance Spectral Estimators Journal of Climate. 8: 2352-2363. DOI: 10.1175/1520-0442(1995)008<2352:Ipciad>2.0.Co;2 |
0.374 |
|
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