Video Library 2

  • Tags

Found 18 Results
Page 2 of 2

ISBA 2016 De Finetti Lecture by Persi Diaconis


Building Apriori Knowledge Into Conclusions Drawn From Simulations Persi Diaconis, Stanford University (United States) Simulations rule much of Bayesian(and nonBayesian) practice. If you look at what most of do with the output of a simulation, it’s surprisingly naive; use the mean +-2 s.d. .What happened to Bayes (or modern statistics)? I have found classes of […]

Tags:

June 13, 2016


ISBA 2016 Bayesian Foundations Lectures by David Spiegelhalter


Trying to be a ‘public’ (Bayesian) statistician David Spiegelhalter, University of Cambridge (UK) Video Link: http://videolectures.net/isba2016_spiegelhalter_public_statistician/

Tags:


ISBA 2016 Bayesian Foundations Lectures by Sonia Petrone


A subjective tour through foundations and modern trends Sonia Petrone, Universita Bocconi (Italy) This lecture will be a tutorial-tour starting from a brief reminder of the origin of subjective probability and risk, focusing on notions of exchangeability and touching a (personal choice of) problems and current trends. A general question underlies the tour: In the […]

Tags:


ISBA 2016 Bayesian Foundations Lectures by Peter Green


Graphical modelling and Bayesian structural learning Peter Green, University of Technology, Sydney (UTS), Australia and University of Bristol, UK Conditional independence is key to understanding the structure of multivariate distributions and multivariate data. Graphical modelling provides a rigorous formalism for encoding, visualising and reasoning with conditional independence assumptions, and thus provides tools for assessing structure […]

Tags:


ISBA 2012 Bayesian Foundations Lecture by Aad van der Vaart


Confidence in nonparametric credible sets? Aad van der Vaart (University of Leiden, Netherlands) In nonparametric statistics, the posterior distribution is used in exactly the same way as in any Bayesian analysis. It supposedly gives us the likelihood of various parameter values given the data. A difference with parametric analysis is that it is often difficult […]

Tags:

June 25, 2012


ISBA 2012 Bayesian Foundations Lecture by Donald A. Berry


Slowly but surely, Bayesian ideas revolutionize medical research Donald A. Berry (University of Texas M.D. Anderson Cancer Center, USA) Bayesian theory is elegant and intuitive. But elegance may have little value in practical settings. The “Bayesian Revolution” of the last half of the 20th century was irrelevant for biostatisticians. They were busy changing the world […]

Tags:


ISBA 2012 Bayesian Foundations Lecture by Christian P. Robert


Approximate Bayesian computation (ABC): advances and questions Christian P. Robert (Paris Dauphine University, France) The lack of closed-form likelihoods has been the bane of Bayesian computation for many years and, prior to the introduction of MCMC methods, a strong impediment to the propagation of the Bayesian paradigm. We are now facing models where an MCMC […]

Tags:


ISBA 2012 Bayesian Foundations Lecture by Mike West


Bayesian Dynamic Modelling Mike West (Duke University, USA) Since the 1970s, applications of Bayesian time series models and forecasting methods have represented major success stories for our discipline. Dynamic modelling is a very broad field, so this ISBA Lecture on Bayesian Foundations will rather selectively note key concepts and some core model contexts, leavened with […]

Tags:


Page 2 of 2