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Lecture 7: Monte Carlo methods. <br><em> Methods for sampling based on Monte Carlo and variants.</em>
Presenter
- Berend Smit
May 16, 2009
IMA
Using Diffusion Monte Carlo to investigate molecules that undergo large amplitude vibrational motions
Presenter
- Anne McCoy
January 12, 2009
IMA
Joonho Lee - Auxiliary-Field Quantum Monte Carlo Beyond Hartree-Fock Trial Wavefunctions
Presenter
- Joonho Lee
November 7, 2023
IPAM
Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning
Presenter
- Samuel Blau
May 1, 2023
IPAM
From Langevin dynamics to kinetic Monte Carlo: mathematical foundations of accelerated dynamics algorithms
Presenter
- Tony Lelievre
February 17, 2021
IMSI
Characterizing Markov process dynamics from trajectory data
Presenter
- Jonathan Weare
April 23, 2020
ICERM
High dimensional integration - the Quasi-Monte Carlo way
Presenter
- Frances Kuo
November 3, 2018
ICERM
Data-Driven Multifidelity Methods for Monte Carlo Estimation and Beyond
Presenter
- Benjamin Peherstorfer
September 24, 2018
IPAM
A Two-Stage Markov Chain Monte Carlo Method for Seismic Inversion
Presenter
- Susan Minkoff
November 9, 2017
ICERM
Ensemble preconditioning for Markov chain Monte Carlo
Presenter
- Jonathan Weare
October 20, 2017
IPAM
Irreversible Markov chains with fast mixing - Application to particle systems
Presenter
- Werner Krauth
October 18, 2017
IPAM