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

Andrei Kramer

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
BMC Bioinformatics|July 29, 2014
Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systemsAndrei Kramer, Ben Calderhead, Nicole Radde
Bioinformatics (Oxford, England)|July 10, 2014
MCMC_CLIB-an advanced MCMC sampling package for ODE modelsAndrei Kramer, Vassilios Stathopoulos, Mark Girolami, et al.
Bioinformatics (Oxford, England)|September 11, 2012
Trajectory-oriented Bayesian experiment design versus Fisher A-optimal design: an in depth comparison studyPatrick Weber, Andrei Kramer, Clemens Dingler, et al.
Bioinformatics (Oxford, England)|July 17, 2018
Uncertainty quantification, propagation and characterization by Bayesian analysis combined with global sensitivity analysis applied to dynamical intracellular pathway modelsOlivia Eriksson, Alexandra Jauhiainen, Sara Maad Sasane, et al.
BMC Bioinformatics|February 26, 2014
iVUN: interactive Visualization of Uncertain biochemical reaction NetworksCorinna Vehlow, Jan Hasenauer, Andrei Kramer, et al.
Neuroinformatics|October 28, 2021
A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and NeuroscienceJoão P G Santos, Kadri Pajo, Daniel Trpevski, et al.
Elife|July 6, 2022
Combining hypothesis- and data-driven neuroscience modeling in FAIR workflowsOlivia Eriksson, Upinder Singh Bhalla, Kim T Blackwell, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|July 29, 2014
Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systemsAndrei Kramer, Ben Calderhead, Nicole Radde
Bioinformatics (Oxford, England)|July 10, 2014
MCMC_CLIB-an advanced MCMC sampling package for ODE modelsAndrei Kramer, Vassilios Stathopoulos, Mark Girolami, et al.
Bioinformatics (Oxford, England)|September 11, 2012
Trajectory-oriented Bayesian experiment design versus Fisher A-optimal design: an in depth comparison studyPatrick Weber, Andrei Kramer, Clemens Dingler, et al.
Bioinformatics (Oxford, England)|July 17, 2018
Uncertainty quantification, propagation and characterization by Bayesian analysis combined with global sensitivity analysis applied to dynamical intracellular pathway modelsOlivia Eriksson, Alexandra Jauhiainen, Sara Maad Sasane, et al.
BMC Bioinformatics|February 26, 2014
iVUN: interactive Visualization of Uncertain biochemical reaction NetworksCorinna Vehlow, Jan Hasenauer, Andrei Kramer, et al.
Neuroinformatics|October 28, 2021
A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and NeuroscienceJoão P G Santos, Kadri Pajo, Daniel Trpevski, et al.
Elife|July 6, 2022
Combining hypothesis- and data-driven neuroscience modeling in FAIR workflowsOlivia Eriksson, Upinder Singh Bhalla, Kim T Blackwell, et al.
Pageof 1