pprg - Home

Skip to main content. Get your Wikispaces Classroom now. The easiest way to manage your class. Probabilistic Programming Reading Group at the University of Oxford. Probabilistic programming PP has recently attracted much attention in Computer Science and Machine Learning communities. During reading group meetings, we are going to comprehend and discuss. What PP is about;. How it works different approaches and inference algorithms;. What implementations already exist;. The future of PP. Reading group.

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Biips Bayesian inference with interacting particle systems

Middot; Bayesian inference with interacting particle systems. Logo by Timothée Del Moral. Is a general software for Bayesian inference with interacting particle systems. It aims at popularizing the use of these methods to non-statistician researchers and students, thanks to its automated black box inference engine. It borrows from the BUGS. BUGS language compiler adapted from JAGS. SMC techniques for filtering and smoothing.

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pprg - Home

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Skip to main content. Get your Wikispaces Classroom now. The easiest way to manage your class. Probabilistic Programming Reading Group at the University of Oxford. Probabilistic programming PP has recently attracted much attention in Computer Science and Machine Learning communities. During reading group meetings, we are going to comprehend and discuss. What PP is about;. How it works different approaches and inference algorithms;. What implementations already exist;. The future of PP. Reading group.

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The domain pprg.wikispaces.com has the following on the web site, "Get your Wikispaces Classroom now." I observed that the webpage also said " The easiest way to manage your class." They also stated " Probabilistic Programming Reading Group at the University of Oxford. Probabilistic programming PP has recently attracted much attention in Computer Science and Machine Learning communities. During reading group meetings, we are going to comprehend and discuss. What PP is about;. How it works different approaches and inference algorithms;. What implementations already exist;."

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