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

Denis Larocque

Showing results (1-10 of 20) with videos related to

Pageof 2
Sort By:
Statistical Methods in Medical Research|October 9, 2024
Comparison of random forest methods for conditional average treatment effect estimation with a continuous treatmentSami Tabib, Denis Larocque
Bioinformatics (Oxford, England)|August 3, 2019
Non-parametric individual treatment effect estimation for survival data with random forestsSami Tabib, Denis Larocque
Computer Methods and Programs in Biomedicine|December 24, 2025
Random forests for individual treatment effect estimation with the R package ITERFSami Tabib, Denis Larocque
Statistical Methods in Medical Research|February 22, 2019
Prediction intervals with random forestsMarie-Hélène Roy, Denis Larocque
Statistical Methods in Medical Research|August 25, 2017
Survival forests for data with dependent censoringHoora Moradian, Denis Larocque, François Bellavance
Statistical Methods in Medical Research|July 9, 2015
Global tests for noveltyIlmari Ahonen, Denis Larocque, Jaakko Nevalainen
BMC Bioinformatics|June 17, 2023
Covariance regression with random forestsCansu Alakus, Denis Larocque, Aurélie Labbe
Statistical Methods in Medical Research|November 26, 2019
Random forests for homogeneous and non-homogeneous Poisson processes with excess zerosWalid Mathlouthi, Denis Larocque, Marc Fredette
Lifetime Data Analysis|July 6, 2016
L₁ splitting rules in survival forestsHoora Moradian, Denis Larocque, François Bellavance
Entropy (Basel, Switzerland)|December 3, 2020
Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly DetectionMichael R Lindstrom, Hyuntae Jung, Denis Larocque
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Statistical Methods in Medical Research|October 9, 2024
Comparison of random forest methods for conditional average treatment effect estimation with a continuous treatmentSami Tabib, Denis Larocque
Bioinformatics (Oxford, England)|August 3, 2019
Non-parametric individual treatment effect estimation for survival data with random forestsSami Tabib, Denis Larocque
Computer Methods and Programs in Biomedicine|December 24, 2025
Random forests for individual treatment effect estimation with the R package ITERFSami Tabib, Denis Larocque
Statistical Methods in Medical Research|February 22, 2019
Prediction intervals with random forestsMarie-Hélène Roy, Denis Larocque
Statistical Methods in Medical Research|August 25, 2017
Survival forests for data with dependent censoringHoora Moradian, Denis Larocque, François Bellavance
Statistical Methods in Medical Research|July 9, 2015
Global tests for noveltyIlmari Ahonen, Denis Larocque, Jaakko Nevalainen
BMC Bioinformatics|June 17, 2023
Covariance regression with random forestsCansu Alakus, Denis Larocque, Aurélie Labbe
Statistical Methods in Medical Research|November 26, 2019
Random forests for homogeneous and non-homogeneous Poisson processes with excess zerosWalid Mathlouthi, Denis Larocque, Marc Fredette
Lifetime Data Analysis|July 6, 2016
L₁ splitting rules in survival forestsHoora Moradian, Denis Larocque, François Bellavance
Entropy (Basel, Switzerland)|December 3, 2020
Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly DetectionMichael R Lindstrom, Hyuntae Jung, Denis Larocque
Pageof 2