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Plos One
|
June 9, 2009
A statistical framework for the adaptive management of epidemiological interventions
Daniel Merl, Leah R Johnson, Robert B Gramacy, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
February 1, 2012
Robustness of estimators of long-range dependence and self-similarity under non-Gaussianity
Christian L E Franzke, Timothy Graves, Nicholas W Watkins, et al.
SIAM Journal on Scientific Computing : a Publication of the Society for Industrial and Applied Mathematics
|
November 22, 2019
PARAMETER AND UNCERTAINTY ESTIMATION FOR DYNAMICAL SYSTEMS USING SURROGATE STOCHASTIC PROCESSES
Matthias Chung, Mickaël Binois, Robert B Gramacy, et al.
The Annals of Applied Statistics
|
April 16, 2024
PHENOMENOLOGICAL FORECASTING OF DISEASE INCIDENCE USING HETEROSKEDASTIC GAUSSIAN PROCESSES: A DENGUE CASE STUDY
Leah R Johnson, Robert B Gramacy, Jeremy Cohen, et al.
Ambio
|
September 20, 2024
A framework for developing a real-time lake phytoplankton forecasting system to support water quality management in the face of global change
Cayelan C Carey, Ryan S D Calder, Renato J Figueiredo, et al.
Journal of Agricultural, Biological, and Environmental Statistics
|
September 10, 2019
A Case Study Competition Among Methods for Analyzing Large Spatial Data
Matthew J Heaton, Abhirup Datta, Andrew O Finley, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
November 13, 2019
An open challenge to advance probabilistic forecasting for dengue epidemics
Michael A Johansson, Karyn M Apfeldorf, Scott Dobson, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 7) with videos related to
Sort By:
Page
of 1
Plos One
|
June 9, 2009
A statistical framework for the adaptive management of epidemiological interventions
Daniel Merl, Leah R Johnson, Robert B Gramacy, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
February 1, 2012
Robustness of estimators of long-range dependence and self-similarity under non-Gaussianity
Christian L E Franzke, Timothy Graves, Nicholas W Watkins, et al.
SIAM Journal on Scientific Computing : a Publication of the Society for Industrial and Applied Mathematics
|
November 22, 2019
PARAMETER AND UNCERTAINTY ESTIMATION FOR DYNAMICAL SYSTEMS USING SURROGATE STOCHASTIC PROCESSES
Matthias Chung, Mickaël Binois, Robert B Gramacy, et al.
The Annals of Applied Statistics
|
April 16, 2024
PHENOMENOLOGICAL FORECASTING OF DISEASE INCIDENCE USING HETEROSKEDASTIC GAUSSIAN PROCESSES: A DENGUE CASE STUDY
Leah R Johnson, Robert B Gramacy, Jeremy Cohen, et al.
Ambio
|
September 20, 2024
A framework for developing a real-time lake phytoplankton forecasting system to support water quality management in the face of global change
Cayelan C Carey, Ryan S D Calder, Renato J Figueiredo, et al.
Journal of Agricultural, Biological, and Environmental Statistics
|
September 10, 2019
A Case Study Competition Among Methods for Analyzing Large Spatial Data
Matthew J Heaton, Abhirup Datta, Andrew O Finley, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
November 13, 2019
An open challenge to advance probabilistic forecasting for dengue epidemics
Michael A Johansson, Karyn M Apfeldorf, Scott Dobson, et al.
Page
of 1