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

Computational statistics & data analysis

Showing results (81-90 of 262) with videos related to

Pageof 27
Sort By:
Computational Statistics & Data Analysis|March 19, 2019
Covariance-Insured ScreeningKevin He, Jian Kang, Hyokyoung G Hong, et al.
Computational Statistics & Data Analysis|April 30, 2008
Efficient methods for estimating constrained parameters with applications to lasso logistic regressionGuo-Liang Tian, Man-Lai Tang, Hong-Bin Fang, et al.
Computational Statistics & Data Analysis|November 18, 2024
Locally sparse quantile estimation for a partially functional interaction modelWeijuan Liang, Qingzhao Zhang, Shuangge Ma
Computational Statistics & Data Analysis|September 26, 2024
Flexible Regularized Estimation in High-Dimensional Mixed Membership ModelsNicholas Marco, Damla Şentürk, Shafali Jeste, et al.
Computational Statistics & Data Analysis|November 22, 2019
Non-inferiority Testing for Risk Ratio, Odds Ratio and Number Needed to Treat in Three-arm TrialShrabanti Chowdhury, Ram C Tiwari, Samiran Ghosh
Computational Statistics & Data Analysis|September 17, 2013
A random effects epidemic-type aftershock sequence modelFeng-Chang Lin
Computational Statistics & Data Analysis|June 25, 2013
Two algorithms for fitting constrained marginal modelsR J Evans, A Forcina
Computational Statistics & Data Analysis|March 16, 2010
Unified Computational Methods for Regression Analysis of Zero-Inflated and Bound-Inflated DataYan Yang, Douglas Simpson
Computational Statistics & Data Analysis|December 18, 2009
Using an Approximate Bayesian Bootstrap to Multiply Impute Nonignorable Missing DataJuned Siddique, Thomas R Belin
Computational Statistics & Data Analysis|April 24, 2019
A Gamma-frailty proportional hazards model for bivariate interval-censored dataPrabhashi W Withana Gamage, Christopher S McMahan, Lianming Wang, et al.
Pageof 27

Showing results (81-90 of 262) with videos related to

Sort By:
Pageof 27
Computational Statistics & Data Analysis|March 19, 2019
Covariance-Insured ScreeningKevin He, Jian Kang, Hyokyoung G Hong, et al.
Computational Statistics & Data Analysis|April 30, 2008
Efficient methods for estimating constrained parameters with applications to lasso logistic regressionGuo-Liang Tian, Man-Lai Tang, Hong-Bin Fang, et al.
Computational Statistics & Data Analysis|November 18, 2024
Locally sparse quantile estimation for a partially functional interaction modelWeijuan Liang, Qingzhao Zhang, Shuangge Ma
Computational Statistics & Data Analysis|September 26, 2024
Flexible Regularized Estimation in High-Dimensional Mixed Membership ModelsNicholas Marco, Damla Şentürk, Shafali Jeste, et al.
Computational Statistics & Data Analysis|November 22, 2019
Non-inferiority Testing for Risk Ratio, Odds Ratio and Number Needed to Treat in Three-arm TrialShrabanti Chowdhury, Ram C Tiwari, Samiran Ghosh
Computational Statistics & Data Analysis|September 17, 2013
A random effects epidemic-type aftershock sequence modelFeng-Chang Lin
Computational Statistics & Data Analysis|June 25, 2013
Two algorithms for fitting constrained marginal modelsR J Evans, A Forcina
Computational Statistics & Data Analysis|March 16, 2010
Unified Computational Methods for Regression Analysis of Zero-Inflated and Bound-Inflated DataYan Yang, Douglas Simpson
Computational Statistics & Data Analysis|December 18, 2009
Using an Approximate Bayesian Bootstrap to Multiply Impute Nonignorable Missing DataJuned Siddique, Thomas R Belin
Computational Statistics & Data Analysis|April 24, 2019
A Gamma-frailty proportional hazards model for bivariate interval-censored dataPrabhashi W Withana Gamage, Christopher S McMahan, Lianming Wang, et al.
Pageof 27