20752_0412055511MarkovChain
The Complexity of Agreement A 100% Quantum-Free Talk Scott Aaronson MIT.
Presentation and implementation of a new approach of age from biological indicators (Bayesian inference procedure) Luc Buchet, Henri Caussinus, Daniel.
Counting chickens and other tales Using random effect models and MCMC estimation in applied statistics research. Dr William J. Browne School of Mathematical.
Using complex random effect models in epidemiology and ecology Dr William J. Browne School of Mathematical Sciences University of Nottingham.
MCMC Estimation for Random Effect Modelling – The MLwiN experience Dr William J. Browne School of Mathematical Sciences University of Nottingham.
MCMC Estimation for Random Effect Modelling – The MLwiN experience Dr William J. Browne School of Math Sciences University of Nottingham.
Lecture #4: Bayesian analysis of mapped data Spatial statistics in practice Center for Tropical Ecology and Biodiversity, Tunghai University & Fushan Botanical.
Southampton workshop, July 2009Slide 1 Tony O’Hagan, University of Sheffield Simulators and Emulators.
Evidence synthesis of competing interventions when there is inconsistency in how effectiveness outcomes are measured across studies Nicola Cooper Centre.
Bayesian Methods
An illustration of the use of reparameterisation methods for improving MCMC efficiency in crossed random effect models. William J. Browne School of Mathematical.
