![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](https://i1.rgstatic.net/ii/profile.image/731511347232778-1551417304815_Q512/Fredrik-Lindsten.jpg)
Fredrik LINDSTEN | Associate Professor | PhD | Linköping University, Linköping | LiU | Division of Statistics and Machine Learning | Research profile
GitHub - compops/panel-dpm2016: Approximate Bayesian inference for mixed effects models with heterogeneity
![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](https://0.academia-photos.com/attachment_thumbnails/41459688/mini_magick20190219-19385-5745zo.png?1550585941)
PDF) Quasi-Newton particle Metropolis-Hastings applied to intractable likelihood models | Fredrik Lindsten - Academia.edu
![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](https://i1.rgstatic.net/ii/profile.image/476734899396608-1490673865419_Q512/Adrian-Wills.jpg)