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Entropy (Basel, Switzerland)
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December 3, 2020
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data
Patrick L McDermott, Christopher K Wikle
Ecology and Evolution
|
January 12, 2018
A hierarchical spatiotemporal analog forecasting model for count data
Patrick L McDermott, Christopher K Wikle, Joshua Millspaugh
Plos One
|
June 2, 2023
Excursions in the Bayesian treatment of model error
L Mark Berliner, Radu Herbei, Christopher K Wikle, et al.
Biometrics
|
August 11, 2007
Hierarchical spatiotemporal matrix models for characterizing invasions
Mevin B Hooten, Christopher K Wikle, Robert M Dorazio, et al.
Biometrics
|
September 22, 2009
Modeling complex phenotypes: generalized linear models using spectrogram predictors of animal communication signals
Scott H Holan, Christopher K Wikle, Laura E Sullivan-Beckers, et al.
Ecological Applications : a Publication of the Ecological Society of America
|
May 12, 2009
Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling
Noel Cressie, Catherine A Calder, James S Clark, et al.
Arxiv
|
March 4, 2025
Inference for Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data
Shuwan Wang, Christopher K Wikle, Athanasios C Micheas, et al.
La Matematica
|
July 17, 2025
Retinal Venous Vulnerability in Primary Open Angle Glaucoma: The Combined Effects of Intraocular Pressure and Blood Pressure with Application to the Thessaloniki Eye Study
Rajat Rai, Giovanna Guidoboni, Christopher K Wikle, et al.
Plos One
|
August 30, 2023
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
Lisa Sattenspiel, Carolyn Orbann, Aaron Bogan, et al.
Spatial Statistics
|
June 2, 2026
Inference for Stationary Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data
Shuwan Wang, Christopher K Wikle, Athanasios C Micheas, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Entropy (Basel, Switzerland)
|
December 3, 2020
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data
Patrick L McDermott, Christopher K Wikle
Ecology and Evolution
|
January 12, 2018
A hierarchical spatiotemporal analog forecasting model for count data
Patrick L McDermott, Christopher K Wikle, Joshua Millspaugh
Plos One
|
June 2, 2023
Excursions in the Bayesian treatment of model error
L Mark Berliner, Radu Herbei, Christopher K Wikle, et al.
Biometrics
|
August 11, 2007
Hierarchical spatiotemporal matrix models for characterizing invasions
Mevin B Hooten, Christopher K Wikle, Robert M Dorazio, et al.
Biometrics
|
September 22, 2009
Modeling complex phenotypes: generalized linear models using spectrogram predictors of animal communication signals
Scott H Holan, Christopher K Wikle, Laura E Sullivan-Beckers, et al.
Ecological Applications : a Publication of the Ecological Society of America
|
May 12, 2009
Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling
Noel Cressie, Catherine A Calder, James S Clark, et al.
Arxiv
|
March 4, 2025
Inference for Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data
Shuwan Wang, Christopher K Wikle, Athanasios C Micheas, et al.
La Matematica
|
July 17, 2025
Retinal Venous Vulnerability in Primary Open Angle Glaucoma: The Combined Effects of Intraocular Pressure and Blood Pressure with Application to the Thessaloniki Eye Study
Rajat Rai, Giovanna Guidoboni, Christopher K Wikle, et al.
Plos One
|
August 30, 2023
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
Lisa Sattenspiel, Carolyn Orbann, Aaron Bogan, et al.
Spatial Statistics
|
June 2, 2026
Inference for Stationary Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data
Shuwan Wang, Christopher K Wikle, Athanasios C Micheas, et al.
Page
of 2