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Fredrik LINDSTEN | Associate Professor | PhD | Linköping University,  Linköping | LiU | Division of Statistics and Machine Learning | Research  profile
Fredrik LINDSTEN | Associate Professor | PhD | Linköping University, Linköping | LiU | Division of Statistics and Machine Learning | Research profile

arXiv:1311.0689v2 [stat.CO] 31 Mar 2014
arXiv:1311.0689v2 [stat.CO] 31 Mar 2014

Webinars - DTStudyClub
Webinars - DTStudyClub

Webinars - DTStudyClub
Webinars - DTStudyClub

Hierarchical Bayesian approaches for robust inference in ARX models
Hierarchical Bayesian approaches for robust inference in ARX models

Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other  places
Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other places

Webinars - DTStudyClub
Webinars - DTStudyClub

Webinars - DTStudyClub
Webinars - DTStudyClub

On Structure Exploiting Numerical Algorithms for Model Predictive Control
On Structure Exploiting Numerical Algorithms for Model Predictive Control

PDF) Particle Metropolis Hastings using Langevin dynamics
PDF) Particle Metropolis Hastings using Langevin dynamics

Webinars - DTStudyClub
Webinars - DTStudyClub

Webinars - DTStudyClub
Webinars - DTStudyClub

Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other  places
Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other places

GitHub - compops/panel-dpm2016: Approximate Bayesian inference for mixed  effects models with heterogeneity
GitHub - compops/panel-dpm2016: Approximate Bayesian inference for mixed effects models with heterogeneity

Course Summary Summary of lecture 12 Revised reports Last exercise session
Course Summary Summary of lecture 12 Revised reports Last exercise session

Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other  places
Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other places

Particle Filter-Based Gaussian Process Optimisation for Parameter Inference
Particle Filter-Based Gaussian Process Optimisation for Parameter Inference

Second-order particle MCMC for Bayesian parameter inference
Second-order particle MCMC for Bayesian parameter inference

Accelerating Monte Carlo methods for Bayesian inference in dynamical models
Accelerating Monte Carlo methods for Bayesian inference in dynamical models

Course Summary Summary of lecture 12 Revised reports Last exercise session
Course Summary Summary of lecture 12 Revised reports Last exercise session

Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other  places
Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other places

Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other  places
Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other places

Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other  places
Johan Dahlin's research works | Uppsala University, Uppsala (UU) and other places

PDF) Quasi-Newton particle Metropolis-Hastings applied to intractable  likelihood models | Fredrik Lindsten - Academia.edu
PDF) Quasi-Newton particle Metropolis-Hastings applied to intractable likelihood models | Fredrik Lindsten - Academia.edu

PDF) Combining Entity Matching Techniques for Detecting Extremist Behavior  on Discussion Boards
PDF) Combining Entity Matching Techniques for Detecting Extremist Behavior on Discussion Boards

Adrian WILLS | The University of Newcastle, Australia, Newcastle | School  of Electrical Engineering and Computer Science | Research profile
Adrian WILLS | The University of Newcastle, Australia, Newcastle | School of Electrical Engineering and Computer Science | Research profile

Robust ARX models with automatic order determination and Student's t  innovations
Robust ARX models with automatic order determination and Student's t innovations