Selected talks

• Kansrijk (Text), Kansrijk (Slides), Oratie Vrije Universiteit (Amsterdam, 2001) [67KB, 12MB]
• Algorithms for Smoothing array CGH data, (Amsterdam, 2003) [1.5 MB]
• Entropy methods in statistics, IXCLAPEM (Punta del Este, Uruguay, 2004) [48 KB, dvi files, viewed well with yap.exe]
• Bayesian adaptation, 4th Conference on Nonparametric Bayesian Statistics (Rome, 2004) [350 KB]
• Estimating a causal effect using observational data, Nederlandse Organisatie Sociaal-Wetenschappelijk Onderzoek (Utrecht, 2004) [870 KB]
• Higher order estimating equations, Joint Statistical Meeting (Minneapolis 2005) [285 KB]
• Some results in nonparametric Bayesian inference, including Gaussian process priors, Institut Henri Poincare (Paris, February 2006) [113 KB]
• Linkage analysis with censored data, Leiden University Medical Centre (Leiden, Spring 2007) [565 KB]
• Nonparametric inference with Gaussian process priors, Weierstrass Institute (Berlin, May 2007) [960 KB]
• Bayesian curve estimation using Gaussian process priors, (Universiteit Utrecht, May 2009).
• Entropy methods in statistics, Aio meeting (Hilversum, May 2009).
• Forum lectures 1, Forum lectures 2, European Meeting of Statisticians (Toulouse, July 2009).
• Le Cam lecture IMS, JSM (Washington, August 2009).
• Bayesian Regularization, Invited lecture, International Congress of Mathematicians (Hyderabad, August 2010).
• Confidence in Nonparametric Credible Sets? ISBA Foundational lecture, Kyoto, 2012.
• Bayesian Methods for Sparse Regression, O'Bayes Conference, Duke University, December 2013.
• Semiparametric estimation in very high-dimensional models, ETH, Zurich, November 2015.
• Bayesian uncertainty quantification for sparsity models, Journees de Statistiques, Montpellier, May 2016.
• Statistical inference for some network models, CRM, Barcelona, June 2016.
• Causaliteit en statistiek, ICLON, Leiden September 2016.
• Responsible data science, Amsterdam, October 2016.
• Hotelling lecture 1, Hotelling lecture 2, UNC, Chapel Hill, April 2017.
• Barrett lecture 1 (Bradley lecture), Barrett lecture 2 (Bradley lecture), UT, Knoxville, May 2017.
• Semiparametric Bayesian estimation, with or without bias, 12th Bayesian Nonparametics meeting, Oxford, June 2019.
• Bernoulli lecture, Palermo, July 2019.
• Mordell lecture, Cambridge, 2023.
• Gaussian processes in Bayesian statisticse, Shenzhen international conference, 2023.
• Bayesian sensivity analysis, Lund, 2024.
• Linear Methods for nonlinear inverse problems, Columbia University, 2024.