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The American Statistician
|
March 15, 2021
Sampling Strategies for Fast Updating of Gaussian Markov Random Fields
D Andrew Brown, Christopher S McMahan, Stella Watson Self
Magnetic Resonance Imaging
|
March 27, 2024
A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data
Zhengxin Wang, Daniel B Rowe, Xinyi Li, et al.
Journal of Applied Statistics
|
April 30, 2025
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data
Zhengxin Wang, Daniel B Rowe, Xinyi Li, et al.
Designed Monomers and Polymers
|
February 12, 2024
Construction of a corresponding empirical model to bridge thermal properties and synthesis of thermoresponsive poloxamines
Zichun Yan, D Andrew Brown, Trey Alpi, et al.
Journal of the American Statistical Association
|
November 7, 2022
Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging
D Andrew Brown, Christopher S McMahan, Russell T Shinohara, et al.
Neuroimage
|
August 29, 2013
Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging
D Andrew Brown, Nicole A Lazar, Gauri S Datta, et al.
Parasites & Vectors
|
August 1, 2019
Regional and local temporal trends in the prevalence of canine heartworm infection in the contiguous United States: 2012-2018
Stella W Self, Cassan N Pulaski, Christopher S McMahan, et al.
Parasites & Vectors
|
April 2, 2020
Local and regional temporal trends (2013-2019) of canine Ehrlichia spp. seroprevalence in the USA
Jenna R Gettings, Stella C W Self, Christopher S McMahan, et al.
Frontiers in Veterinary Science
|
November 16, 2020
Regional and Local Temporal Trends of <i>Borrelia burgdorferi</i> and <i>Anaplasma</i> spp. Seroprevalence in Domestic Dogs: Contiguous United States 2013-2019
Jenna R Gettings, Stella C W Self, Christopher S McMahan, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
The American Statistician
|
March 15, 2021
Sampling Strategies for Fast Updating of Gaussian Markov Random Fields
D Andrew Brown, Christopher S McMahan, Stella Watson Self
Magnetic Resonance Imaging
|
March 27, 2024
A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data
Zhengxin Wang, Daniel B Rowe, Xinyi Li, et al.
Journal of Applied Statistics
|
April 30, 2025
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data
Zhengxin Wang, Daniel B Rowe, Xinyi Li, et al.
Designed Monomers and Polymers
|
February 12, 2024
Construction of a corresponding empirical model to bridge thermal properties and synthesis of thermoresponsive poloxamines
Zichun Yan, D Andrew Brown, Trey Alpi, et al.
Journal of the American Statistical Association
|
November 7, 2022
Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging
D Andrew Brown, Christopher S McMahan, Russell T Shinohara, et al.
Neuroimage
|
August 29, 2013
Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging
D Andrew Brown, Nicole A Lazar, Gauri S Datta, et al.
Parasites & Vectors
|
August 1, 2019
Regional and local temporal trends in the prevalence of canine heartworm infection in the contiguous United States: 2012-2018
Stella W Self, Cassan N Pulaski, Christopher S McMahan, et al.
Parasites & Vectors
|
April 2, 2020
Local and regional temporal trends (2013-2019) of canine Ehrlichia spp. seroprevalence in the USA
Jenna R Gettings, Stella C W Self, Christopher S McMahan, et al.
Frontiers in Veterinary Science
|
November 16, 2020
Regional and Local Temporal Trends of <i>Borrelia burgdorferi</i> and <i>Anaplasma</i> spp. Seroprevalence in Domestic Dogs: Contiguous United States 2013-2019
Jenna R Gettings, Stella C W Self, Christopher S McMahan, et al.
Page
of 1