Department of Information Technology

Invited talks

2016

  • 30/03/16: "Monte Carlo methods for inference in dynamical systems", Scientific Computing Seminar, Uppsala University, Uppsala, Sweden. [slides]
  • 02/03/16: "Gibbs sampling for state space models: Blocking, stability, and particle MCMC ", IDA Machine Learning Seminar, Linköping University, Linköping, Sweden. [slides]
  • 10/02/16: "Blocking Strategies and Stability of Particle Gibbs Samplers", Alan Turing Institute Workshop: High-Dimensional Statistical Models & Big Data, Alan Turing Institute, London, UK. [slides]
  • 18/11/16: "Particle Gibbs algorithms: methodology and analysis", Statistics Seminar, Lancaster University, Lancaster, UK. [slides]

2015

  • 16/10/15: "Filtering in high-dimensional models using Nested Particle Filters", Division of Systems and Control, Uppsala University, Uppsala, Sweden. [slides]
  • 05/06/15: "Nested Sequential Monte Carlo", Computational Statistics and Machine Learning Reading Group, The University of Oxford, Oxford, UK.
  • 11/03/15: "Particle Gibbs with Ancestor Sampling", OxWaSP module, The University of Oxford, Oxford, UK. [slides]
  • 26/02/15: "Nested Sequential Monte Carlo", Division of Automatic Control, Linköping University, Linköping, Sweden. [slides]

2014

  • 07/11/14: "Sequential Monte Carlo for graphical models: Graph decompositions and Divide-and-Conquer SMC", Probability and Statistics Seminars, School of Mathematics, University of Bristol, Bristol, UK. [slides]
  • 31/10/14: "Sequential Monte Carlo for graphical models: Graph decompositions and Divide-and-Conquer SMC", Statistics Seminars, Imperial College London, London, UK.
  • 23/10/14: "Sequential Monte Carlo for graphical models: Graph decompositions and Divide-and-Conquer SMC", Signal Processing Seminars, Department of Engineering, The University of Cambridge, Cambridge, UK.
  • 06/01/14: "Particle Gibbs with Ancestor Sampling", MCMSki IV, Chamonix, France. [slides]

2011-2013

  • 29/11/13: "Inference in nonlinear state-space models using Particle Gibbs with Ancestor Sampling", Centre for Mathematical Sciences, Lund University, Lund, Sweden. [slides]
  • 01/11/13: "Conditional particle filters for system identification", Division of Automatic Control, Linköping University, Linköping, Sweden. [slides]
  • 08/10/12: "Ancestor Sampling for Particle Gibbs", INRIA, Paris, France.
  • 24/09/12: "Particle Markov Chain Monte Carlo", ERNSI Workshop, Maastricht, the Netherlands. [slides]
  • 16/06/11: "Rao-Blackwellised particle methods for inference and identification", Department of Signals and systems, Chalmers University of Technology, Gothenburg, Sweden. [slides]
Updated  2016-03-31 10:03:17 by Fredrik Lindsten.