Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Spatial statistics

Showing results (31-40 of 67) with videos related to

Pageof 7
Sort By:
Spatial Statistics|September 7, 2013
Spatio-temporal modeling for real-time ozone forecastingLucia Paci, Alan E Gelfand, David M Holland
Spatial Statistics|November 9, 2020
Population-weighted exposure to air pollution and COVID-19 incidence in GermanyGuowen Huang, Patrick E Brown
Spatial Statistics|March 8, 2021
Testing for complete spatial randomness on three dimensional bounded convex shapesScott Ward, Edward A K Cohen, Niall Adams
Spatial Statistics|January 17, 2022
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in ItalyPierpaolo D'Urso, Livia De Giovanni, Vincenzina Vitale
Spatial Statistics|December 13, 2021
A flexible special case of the CSN for spatial modeling and predictionJosé Ulises Márquez-Urbina, Graciela González-Farías
Spatial Statistics|October 27, 2021
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curvesJames Matuk, Xiaohan Guo
Spatial Statistics|March 14, 2022
Editorial: Spatio-temporal dynamics of CovidAlfred Stein, Alan Gelfand
Spatial Statistics|April 5, 2021
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidenceFrancesco Bartolucci, Alessio Farcomeni
Spatial Statistics|April 19, 2021
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacityDuncan Lee, Chris Robertson, Diogo Marques
Spatial Statistics|June 25, 2014
A comparison of spatial smoothing methods for small area estimation with sampling weightsLaina Mercer, Jon Wakefield, Cici Chen, et al.
Pageof 7

Showing results (31-40 of 67) with videos related to

Sort By:
Pageof 7
Spatial Statistics|September 7, 2013
Spatio-temporal modeling for real-time ozone forecastingLucia Paci, Alan E Gelfand, David M Holland
Spatial Statistics|November 9, 2020
Population-weighted exposure to air pollution and COVID-19 incidence in GermanyGuowen Huang, Patrick E Brown
Spatial Statistics|March 8, 2021
Testing for complete spatial randomness on three dimensional bounded convex shapesScott Ward, Edward A K Cohen, Niall Adams
Spatial Statistics|January 17, 2022
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in ItalyPierpaolo D'Urso, Livia De Giovanni, Vincenzina Vitale
Spatial Statistics|December 13, 2021
A flexible special case of the CSN for spatial modeling and predictionJosé Ulises Márquez-Urbina, Graciela González-Farías
Spatial Statistics|October 27, 2021
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curvesJames Matuk, Xiaohan Guo
Spatial Statistics|March 14, 2022
Editorial: Spatio-temporal dynamics of CovidAlfred Stein, Alan Gelfand
Spatial Statistics|April 5, 2021
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidenceFrancesco Bartolucci, Alessio Farcomeni
Spatial Statistics|April 19, 2021
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacityDuncan Lee, Chris Robertson, Diogo Marques
Spatial Statistics|June 25, 2014
A comparison of spatial smoothing methods for small area estimation with sampling weightsLaina Mercer, Jon Wakefield, Cici Chen, et al.
Pageof 7