Publications for Johan Dahlin
Co-author map based on ISI articles 2007-

Keywords

system smc propose proposal particle parameter orders nonlinear monte model markov likelihood intractable input inference gaussian estimate carlo bayesian algorithm

Journal Articles

Johan Dahlin, Fredrik Lindsten and Thomas Schön
  Particle Metropolis-Hastings using gradient and Hessian information
  Statistics and computing, 2015, 25(1), 81-92.
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 Web of Science® Times Cited: 2

Conference Articles

Andreas Svensson, Johan Dahlin and Thomas Schön
  Marginalizing Gaussian process hyperparameters using sequential Monte Carlo
  Proceedings of the 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015.


Manon Kok, Johan Dahlin, Thomas Schön and Adrian Wills
  Newton-based maximum likelihood estimation in nonlinear state space models
  Proceedings of the 17th IFAC Symposium on System Identification, 2015.


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Thomas Bo Schön, Fredrik Lindsten, Johan Dahlin, Johan Wågberg, Christian Andersson Naesseth, Andreas Svensson and Liang Dai
  Sequential Monte Carlo Methods for System Identification
  Proceedings of the 17th IFAC Symposium on System Identification., 2015.


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Johan Dahlin, Thomas Bo Schön and Fredrik Lindsten
  Quasi-Newton particle Metropolis-Hastings
  Proceedings of the 17th IFAC Symposium on System Identification., 2015.


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P. E. Valenzuela, Johan Dahlin, C. R. Rojas and Thomas Schön
  A graph/particle-based method for experiment design in nonlinear systems
  Proceedings of the 19th IFAC World Congress, 2014, 2014.


Johan Dahlin and Fredrik Lindsten
  Particle filter-based Gaussian process optimisation for parameter inference
  Proceedings of the 19th IFAC World Congress, 2014, 2014.


Johan Dahlin, Fredrik Lindsten and Thomas Schön
  Second-Order Particle MCMC for Bayesian Parameter Inference
  Proceedings of the 19th IFAC World Congress, 2014.


Joel Kronander, Thomas B. Schön and Johan Dahlin
  Backward sequential Monte Carlo for marginal smoothing
  Proceedings of the 2014 IEEE Statistical Signal Processing Workshop, 2014.


Joel Kronander, Johan Dahlin, Daniel Jönsson, Manon Kok, Thomas Schön and Jonas Unger
  Real-time video based lighting using GPU raytracing
  Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014, 2014.


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Daniel Hultqvist, Jacob Roll, Fredrik Svensson, Johan Dahlin and Thomas Schön
  Detecting and positioning overtaking vehicles using 1D optical flow
  Proceedings of the 2014 IEEE Intelligent Vehicles Symposium, 2014.


Johan Dahlin, Fredrik Lindsten and Thomas Schön
  Particle Metropolis Hastings using Langevin Dynamics
  Proceedings of the 38th International Conference on Acoustics, Speech, and Signal Processing, 2013.


 Web of Science® Times Cited: 1  Fulltext PDF

Johan Dahlin, Fredrik Johansson, Lisa Kaati, Christian Martenson and Pontus Svenson
  Combining Entity Matching Techniques for Detecting Extremist Behavior on Discussion Boards
  Advances in Social Networks Analysis and Mining (ASONAM), 2012, 2012.


 Web of Science® Times Cited: 2

Johan Dahlin, Fredrik Lindsten, Thomas Bo Schön and Adrian George Wills
  Hierarchical Bayesian approaches for robust inference in ARX models
  Proceedings from the 16th IFAC Symposium on System Identification, 2012, 2012.


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Ph.D. Theses

Johan Dahlin
  Accelerating Monte Carlo methods for Bayesian inference in dynamical models
  2016.


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Licentiate Theses

Johan Dahlin
  Sequential Monte Carlo for inference in nonlinear state space models
  2014.


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Reports

Johan Dahlin, Robert Kohn and Thomas Bo Schön
  Bayesian inference for mixed effects models with heterogeneity
  LiTH-ISY-R, 3091, 2016.


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Johan Dahlin, Thomas Bo Schön and Mattias Villani
  Approximate inference in state space models with intractable likelihoods using Gaussian process optimisation
  LiTH-ISY-R, 3075, 2014.


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Johan Dahlin, Fredrik Lindsten, Thomas Schön and Adrian Wills
  Robust ARX Models with Automatic Order Determination and Student's t Innovations
  LiTH-ISY-R, 3041, 2011.


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