A hierarchical spatiotemporal analog forecasting model for count data.
- Published in:
- Ecology & Evolution (20457758), 2018, v. 8, n. 1, p. 790, doi. 10.1002/ece3.3621
- By:
- Publication type:
- Article
Works matching AU Wikle, Christopher K.
Results: 100
1
2
Small Area Estimation via Multivariate Fay-Herriot Models with Latent Spatial Dependence.
- Published in:
- Australian & New Zealand Journal of Statistics, 2015, v. 57, n. 1, p. 15, doi. 10.1111/anzs.12101
- By:
- Publication type:
- Article
3
HIERARCHICAL MODELS FOR SPATIAL DATA WITH ERRORS THAT ARE CORRELATED WITH THE LATENT PROCESS.
- Published in:
- Statistica Sinica, 2020, v. 30, n. 1, p. 81, doi. 10.5705/ss.202016.0230
- By:
- Publication type:
- Article
4
Big Data in Environmental Studies.
- Published in:
- Statistica Sinica, 2019, v. 29, n. 3, p. 1083
- By:
- Publication type:
- Article
5
Surface Wind Variability on Spatial Scales from 1 to 1000 km Observed during TOGA COARE.
- Published in:
- Journal of the Atmospheric Sciences, 1999, v. 56, n. 13, p. 2222, doi. 10.1175/1520-0469(1999)056<2222:SWVOSS>2.0.CO;2
- By:
- Publication type:
- Article
6
Seasonal variation of upper tropospheric and lower stratospheric equatorial waves over...
- Published in:
- Journal of the Atmospheric Sciences, 1997, v. 54, n. 14, p. 1895, doi. 10.1175/1520-0469(1997)054<1895:SVOUTA>2.0.CO;2
- By:
- Publication type:
- Article
7
Artificial Intelligence to Aid Glaucoma Diagnosis and Monitoring: State of the Art and New Directions.
- Published in:
- Photonics, 2022, v. 9, n. 11, p. 810, doi. 10.3390/photonics9110810
- By:
- Publication type:
- Article
8
Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model.
- Published in:
- Landscape Ecology, 2002, v. 17, n. 7, p. 487
- By:
- Publication type:
- Article
9
‘Bayesian source detection and parameter estimation of a plume model based on sensor network measurements’ by C. Huang et al.: Discussion 2.
- Published in:
- Applied Stochastic Models in Business & Industry, 2010, v. 26, n. 4, p. 353, doi. 10.1002/asmb.854
- By:
- Publication type:
- Article
10
Uncertainty Management in Coupled Physical-Biological Lower Trophic Level Ocean Ecosystem Models.
- Published in:
- Oceanography, 2013, v. 26, n. 4, p. 98, doi. 10.5670/oceanog.2013.78
- By:
- Publication type:
- Article
11
Climatological analysis of tornado report counts using a hierarchical Bayesian spatiotemporal model.
- Published in:
- Journal of Geophysical Research. Atmospheres, 2003, v. 108, n. D24, p. n/a, doi. 10.1029/2002JD002806
- By:
- Publication type:
- Article
12
Variability of the global precipitable water with a timescale of 90-150 days.
- Published in:
- Journal of Geophysical Research. Atmospheres, 1996, v. 101, n. D5, p. 9323, doi. 10.1029/95JD02369
- By:
- Publication type:
- Article
13
Providing distributed forecasts of precipitation using a Bayesian nowcast scheme.
- Published in:
- Atmospheric Science Letters (John Wiley & Sons, Inc. ), 2005, v. 6, n. 1, p. 59, doi. 10.1002/asl.93
- By:
- Publication type:
- Article
14
Spatio-temporal processes in ecology: a gentle introduction.
- Published in:
- 2006
- By:
- Publication type:
- Book Review
15
A Bayesian Adaptive Ensemble Kalman Filter for Sequential State and Parameter Estimation.
- Published in:
- Monthly Weather Review, 2018, v. 146, n. 1, p. 373, doi. 10.1175/MWR-D-16-0427.1
- By:
- Publication type:
- Article
16
Bayesian Estimation of Stochastic Parameterizations in a Numerical Weather Forecasting Model.
- Published in:
- Monthly Weather Review, 2007, v. 135, n. 12, p. 4045, doi. 10.1175/2007MWR1928.1
- By:
- Publication type:
- Article
17
Hierarchical Bayesian Approach to Boundary Value Problems with Stochastic Boundary Conditions.
- Published in:
- Monthly Weather Review, 2003, v. 131, n. 6, p. 1051, doi. 10.1175/1520-0493(2003)131<1051:HBATBV>2.0.CO;2
- By:
- Publication type:
- Article
18
Correcting for informative sampling in spatial covariance estimation and kriging predictions.
- Published in:
- Journal of Geographical Systems, 2023, v. 25, n. 4, p. 587, doi. 10.1007/s10109-023-00426-9
- By:
- Publication type:
- Article
19
Population Influences on Tornado Reports in the United States.
- Published in:
- Weather & Forecasting, 2007, v. 22, n. 3, p. 571, doi. 10.1175/WAF997.1
- By:
- Publication type:
- Article
20
A Bayesian Quantitative Precipitation Nowcast Scheme.
- Published in:
- Weather & Forecasting, 2005, v. 20, n. 3, p. 264, doi. 10.1175/WAF845.1
- By:
- Publication type:
- Article
21
Assimilation of oceanographic observations with estimates of vertical background-error covariances by a Bayesian hierarchical model.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2015, v. 141, n. 686, p. 182, doi. 10.1002/qj.2348
- By:
- Publication type:
- Article
22
Ocean ensemble forecasting. Part II: Mediterranean Forecast System response.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2011, v. 137, n. 657, p. 879, doi. 10.1002/qj.816
- By:
- Publication type:
- Article
23
Ocean ensemble forecasting. Part I: Ensemble Mediterranean winds from a Bayesian hierarchical model.
- Published in:
- Quarterly Journal of the Royal Meteorological Society, 2011, v. 137, n. 657, p. 858, doi. 10.1002/qj.767
- By:
- Publication type:
- Article
24
A Review of Data‐Driven Discovery for Dynamic Systems.
- Published in:
- International Statistical Review, 2023, v. 91, n. 3, p. 464, doi. 10.1111/insr.12554
- By:
- Publication type:
- Article
25
Hierarchical Models in Environmental Science.
- Published in:
- International Statistical Review, 2003, v. 71, n. 2, p. 181, doi. 10.1111/j.1751-5823.2003.tb00192.x
- By:
- Publication type:
- Article
26
Atmospheric Modeling, Data Assimilation, and Predictability.
- Published in:
- 2005
- By:
- Publication type:
- Book Review
27
Combining Information Across Spatial Scales.
- Published in:
- Technometrics, 2005, v. 47, n. 1, p. 80, doi. 10.1198/004017004000000572
- By:
- Publication type:
- Article
28
Modeling Hydrologic Change: Statistical Methods (Book).
- Published in:
- 2003
- By:
- Publication type:
- Book Review
29
Regionalization of multiscale spatial processes by using a criterion for spatial aggregation error.
- Published in:
- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2017, v. 79, n. 3, p. 815, doi. 10.1111/rssb.12179
- By:
- Publication type:
- Article
30
Time-varying effects of local weather on behavior and probability of breeding deferral in two Arctic-nesting goose populations.
- Published in:
- Oecologia, 2023, v. 201, n. 2, p. 369, doi. 10.1007/s00442-022-05300-x
- By:
- Publication type:
- Article
31
A dimension-reduced approach to space-time Kalman filtering.
- Published in:
- Biometrika, 1999, v. 86, n. 4, p. 815, doi. 10.1093/biomet/86.4.815
- By:
- Publication type:
- Article
32
Visualizing uncertainty in areal data with bivariate choropleth maps, map pixelation and glyph rotation.
- Published in:
- Stat, 2017, v. 6, n. 1, p. 292, doi. 10.1002/sta4.150
- By:
- Publication type:
- Article
33
Adaptively tuned particle swarm optimization with application to spatial design.
- Published in:
- Stat, 2017, v. 6, n. 1, p. 145, doi. 10.1002/sta4.142
- By:
- Publication type:
- Article
34
An ensemble quadratic echo state network for non-linear spatio-temporal forecasting.
- Published in:
- Stat, 2017, v. 6, n. 1, p. 315, doi. 10.1002/sta4.160
- By:
- Publication type:
- Article
35
Multivariate spatio-temporal survey fusion with application to the American Community Survey and Local Area Unemployment Statistics.
- Published in:
- Stat, 2016, v. 5, n. 1, p. 224, doi. 10.1002/sta4.120
- By:
- Publication type:
- Article
36
Multivariate spatial hierarchical Bayesian empirical likelihood methods for small area estimation.
- Published in:
- Stat, 2015, v. 4, n. 1, p. 108, doi. 10.1002/sta4.81
- By:
- Publication type:
- Article
37
Bayesian Multidimensional IRT Models With a Hierarchical Structure.
- Published in:
- Educational & Psychological Measurement, 2008, v. 68, n. 3, p. 413, doi. 10.1177/0013164407308512
- By:
- Publication type:
- Article
38
A two-species occupancy model accommodating simultaneous spatial and interspecific dependence.
- Published in:
- Ecology, 2016, v. 97, n. 1, p. 48, doi. 10.1890/15-1193.1
- By:
- Publication type:
- Article
39
HIERARCHICAL BAYESIAN MODELS FOR PREDICTING THE SPREAD OF ECOLOGICAL PROCESSES.
- Published in:
- Ecology, 2003, v. 84, n. 6, p. 1382, doi. 10.1890/0012-9658(2003)084[1382:HBMFPT]2.0.CO;2
- By:
- Publication type:
- Article
40
Incorporating Asymmetric Loss for Real Estate Prediction With Area‐Level Spatial Data.
- Published in:
- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 2, p. 1, doi. 10.1002/asmb.70009
- By:
- Publication type:
- Article
41
Rejoinder - An approach for identifying and predicting economic recessions in real-time using time-frequency functional models.
- Published in:
- Applied Stochastic Models in Business & Industry, 2012, v. 28, n. 6, p. 504, doi. 10.1002/asmb.1955
- By:
- Publication type:
- Article
42
An approach for identifying and predicting economic recessions in real-time using time-frequency functional models.
- Published in:
- Applied Stochastic Models in Business & Industry, 2012, v. 28, n. 6, p. 485, doi. 10.1002/asmb.1954
- By:
- Publication type:
- Article
43
Generating partially synthetic geocoded public use data with decreased disclosure risk by using differential smoothing.
- Published in:
- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2018, v. 181, n. 3, p. 649, doi. 10.1111/rssa.12360
- By:
- Publication type:
- Article
44
Associations between rurality and regional differences in sociodemographic factors and the 1918–20 influenza and 2020–21 COVID-19 pandemics in Missouri counties: An ecological study.
- Published in:
- PLoS ONE, 2023, v. 18, n. 8, p. 1, doi. 10.1371/journal.pone.0290294
- By:
- Publication type:
- Article
45
Excursions in the Bayesian treatment of model error.
- Published in:
- PLoS ONE, 2023, v. 18, n. 6, p. 1, doi. 10.1371/journal.pone.0286624
- By:
- Publication type:
- Article
46
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data.
- Published in:
- Entropy, 2019, v. 21, n. 2, p. 184, doi. 10.3390/e21020184
- By:
- Publication type:
- Article
47
Shifts in the spatio-temporal growth dynamics of shortleaf pine.
- Published in:
- Environmental & Ecological Statistics, 2007, v. 14, n. 3, p. 207, doi. 10.1007/s10651-007-0016-1
- By:
- Publication type:
- Article
48
A hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove.
- Published in:
- Environmental & Ecological Statistics, 2008, v. 15, n. 1, p. 59, doi. 10.1007/s10651-007-0040-1
- By:
- Publication type:
- Article
49
Efficient statistical mapping of avian count data.
- Published in:
- Environmental & Ecological Statistics, 2005, v. 12, n. 2, p. 225, doi. 10.1007/s10651-005-1043-4
- By:
- Publication type:
- Article
50
Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution.
- Published in:
- Journal of Time Series Analysis, 2019, v. 40, n. 3, p. 363, doi. 10.1111/jtsa.12468
- By:
- Publication type:
- Article