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Spatial Statistics
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September 1, 2020
POISSON COKRIGING AS A GENERALIZED LINEAR MIXED MODEL
Lynette M Smith, Walter W Stroup, David B Marx
Spatial Statistics
|
November 22, 2019
Using a spatial point process framework to characterize lung computed tomography scans
Brian E Vestal, Nichole E Carlson, Raúl San José Estépar, et al.
Spatial Statistics
|
December 15, 2021
Spatial clustering behaviour of Covid-19 conditioned by the development level: Case study for the administrative units in Romania
Stefana Cioban, Codruta Mare
Spatial Statistics
|
January 11, 2022
Application of Bayesian spatial-temporal models for estimating unrecognized COVID-19 deaths in the United States
Yuzi Zhang, Howard H Chang, A Danielle Iuliano, et al.
Spatial Statistics
|
January 18, 2022
Editorial: Spatio-temporal dynamics of Covid
Pierpaolo D'Urso, Sujit Sahu, Alfred Stein
Spatial Statistics
|
November 16, 2021
Spatio-temporal small area surveillance of the COVID-19 pandemic
Miguel A Martinez-Beneito, Jorge Mateu, Paloma Botella-Rocamora
Spatial Statistics
|
October 26, 2022
Estimating intervention effects on infectious disease control: The effect of community mobility reduction on Coronavirus spread
Andrew Giffin, Wenlong Gong, Suman Majumder, et al.
Spatial Statistics
|
August 15, 2022
Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models
Mateen Mahmood, André Victor Ribeiro Amaral, Jorge Mateu, et al.
Spatial Statistics
|
May 17, 2021
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England
Sujit K Sahu, Dankmar Böhning
Spatial Statistics
|
October 10, 2017
Model-based inference for small area estimation with sampling weights
Y Vandendijck, C Faes, R S Kirby, et al.
Page
of 7
Search research articles
Search
Showing results (51-60 of 67) with videos related to
Sort By:
Page
of 7
Spatial Statistics
|
September 1, 2020
POISSON COKRIGING AS A GENERALIZED LINEAR MIXED MODEL
Lynette M Smith, Walter W Stroup, David B Marx
Spatial Statistics
|
November 22, 2019
Using a spatial point process framework to characterize lung computed tomography scans
Brian E Vestal, Nichole E Carlson, Raúl San José Estépar, et al.
Spatial Statistics
|
December 15, 2021
Spatial clustering behaviour of Covid-19 conditioned by the development level: Case study for the administrative units in Romania
Stefana Cioban, Codruta Mare
Spatial Statistics
|
January 11, 2022
Application of Bayesian spatial-temporal models for estimating unrecognized COVID-19 deaths in the United States
Yuzi Zhang, Howard H Chang, A Danielle Iuliano, et al.
Spatial Statistics
|
January 18, 2022
Editorial: Spatio-temporal dynamics of Covid
Pierpaolo D'Urso, Sujit Sahu, Alfred Stein
Spatial Statistics
|
November 16, 2021
Spatio-temporal small area surveillance of the COVID-19 pandemic
Miguel A Martinez-Beneito, Jorge Mateu, Paloma Botella-Rocamora
Spatial Statistics
|
October 26, 2022
Estimating intervention effects on infectious disease control: The effect of community mobility reduction on Coronavirus spread
Andrew Giffin, Wenlong Gong, Suman Majumder, et al.
Spatial Statistics
|
August 15, 2022
Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models
Mateen Mahmood, André Victor Ribeiro Amaral, Jorge Mateu, et al.
Spatial Statistics
|
May 17, 2021
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England
Sujit K Sahu, Dankmar Böhning
Spatial Statistics
|
October 10, 2017
Model-based inference for small area estimation with sampling weights
Y Vandendijck, C Faes, R S Kirby, et al.
Page
of 7