C-B4H Seminars

Recorded talks, seminars, and tutorials, associated to the EPSRC grants CoSInES and Bayes4Health. Topics typically include computational statistics, applied probability, and Monte Carlo methods.

Pierre Monmarché - The Adaptive Biasing Force Method, Part 3
Pierre Monmarché - The Adaptive Biasing Force Method, Part 3
Pierre Monmarché - The Adaptive Biasing Force Method, Part 2
Pierre Monmarché - The Adaptive Biasing Force Method, Part 2
Pierre Monmarché - The Adaptive Biasing Force Method, Part 1
Pierre Monmarché - The Adaptive Biasing Force Method, Part 1
Michael Faulkner - Sampling Algorithms for Phase Transitions in Statistical Physics
Michael Faulkner - Sampling Algorithms for Phase Transitions in Statistical Physics
Gareth Roberts - PDMPs - Understanding Limiting and Transient Behaviour - Plenary Lecture
Gareth Roberts - PDMPs - Understanding Limiting and Transient Behaviour - Plenary Lecture
Tobias Grafke - Sample Path Large Deviations, Part 2
Tobias Grafke - Sample Path Large Deviations, Part 2
Tobias Grafke - Sample Path Large Deviations, Part 1
Tobias Grafke - Sample Path Large Deviations, Part 1
Livia Bartok Partay and George Marchant - Nested Sampling, Part 2
Livia Bartok Partay and George Marchant - Nested Sampling, Part 2
Livia Bartok Partay and George Marchant - Nested Sampling, Part 1
Livia Bartok Partay and George Marchant - Nested Sampling, Part 1
David Quigley - Multicanonical Sampling Methods, Part 3
David Quigley - Multicanonical Sampling Methods, Part 3
David Quigley - Multicanonical Sampling Methods, Part 4
David Quigley - Multicanonical Sampling Methods, Part 4
David Quigley - Multicanonical Sampling Methods, Part 2
David Quigley - Multicanonical Sampling Methods, Part 2
David Quigley - Multicanonical Sampling Methods, Part 1
David Quigley - Multicanonical Sampling Methods, Part 1
Gurtej Kanwar - Sampling in Lattice QCD, Part 1
Gurtej Kanwar - Sampling in Lattice QCD, Part 1
Gurtej Kanwar - Sampling in Lattice QCD, Part 2
Gurtej Kanwar - Sampling in Lattice QCD, Part 2
Gurtej Kanwar - Sampling in Lattice QCD, Part 3
Gurtej Kanwar - Sampling in Lattice QCD, Part 3
Lorenzo Rimella - Simulating large-scale epidemics and the challenges of performing inference
Lorenzo Rimella - Simulating large-scale epidemics and the challenges of performing inference
Adrien Corenflos - Parallel exact and approximate inference in Markovian state-spaces - Part 3
Adrien Corenflos - Parallel exact and approximate inference in Markovian state-spaces - Part 3
Adrien Corenflos - Parallel exact and approximate inference in Markovian state-spaces - Part 2
Adrien Corenflos - Parallel exact and approximate inference in Markovian state-spaces - Part 2
Adrien Corenflos - Parallel exact and approximate inference in Markovian state-spaces - Part 1
Adrien Corenflos - Parallel exact and approximate inference in Markovian state-spaces - Part 1
Sebastiano Grazzi - Discussion of
Sebastiano Grazzi - Discussion of "Massively parallel Monte Carlo Methods" by Anthony Lee et al 2010
Daniel Dodd - Gaussian process modelling with GPJax
Daniel Dodd - Gaussian process modelling with GPJax
Darren Wilkinson - Functional programming for scalable statistical computing - Part 3
Darren Wilkinson - Functional programming for scalable statistical computing - Part 3
Darren Wilkinson - Functional programming for scalable statistical computing - Part 2
Darren Wilkinson - Functional programming for scalable statistical computing - Part 2
Darren Wilkinson - Functional programming for scalable statistical computing - Part 1
Darren Wilkinson - Functional programming for scalable statistical computing - Part 1
Chris Jewell - Introduction to parallel computing, hardware considerations - Part 2
Chris Jewell - Introduction to parallel computing, hardware considerations - Part 2
Chris Jewell - Introduction to parallel computing, hardware considerations - Part 1
Chris Jewell - Introduction to parallel computing, hardware considerations - Part 1
Ömer Deniz Akyıldız - Convergence Properties of Optimised Adaptive Importance Samplers
Ömer Deniz Akyıldız - Convergence Properties of Optimised Adaptive Importance Samplers
Andi Wang - Comparison of Markov Chains via Weak Poincaré Inequalities
Andi Wang - Comparison of Markov Chains via Weak Poincaré Inequalities
Alice Corbella - Automatic Zig Zag Sampling in Practice
Alice Corbella - Automatic Zig Zag Sampling in Practice