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mschauer/ZigZagBoomerang.jl

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

Owner: mschauer (personal account)
Stars: Stars: 105
Forks: Forks: 7
Language: Julia
License: MIT
Created: 2020
Topics: pdmpzigzagboomerangbayesian-inferencemarkov-chain-monte-carlobouncy-particle-samplerprobabilistic-programming
Tier: Prototype (100 to 249 ★) What this tier means

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