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- [ ] Linear Noise Approximation (https://tanhevg.github.io/GpABC.jl/latest/overview-lna/, https://arxiv.org/pdf/1509.00612.pdf, https://arxiv.org/pdf/1608.06582.pdf)
- [ ] Minimal continuous-time Ma…
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List of generation methods used in NaNoGenMo 2016.
This top post shall serve as the canonical resource. Please comment below for inclusion.
The categories are preliminary and miss definitions. …
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I gathered the different links. The goal would be to go through that individually, and then have a meeting where we would plan the different part of the project to properly start it
Data: https://con…
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@maxlorenz
`Viterbi algorithm` can resolve the real life issues of the map matching problem (will choose the most probable previous state as the predecessor of each state in a sequence)
> Key is t…
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Markovman needs to generate sentences based on previously induced markov chains.
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* This part https://github.com/QuantEcon/lecture-python.myst/blame/main/lectures/lake_model.md#L260-L274 is not very wise (computing the stationary distribution of a 2-state (column-)stochastic matrix…
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Add nested-Rhat as described in
- Charles C. Margossian, Matthew D. Hoffman, Pavel Sountsov, Lionel Riou-Durand, Aki Vehtari, Andrew Gelman (2022). Nested Rˆ: Assessing the convergence of Markov ch…
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This would require merging the markov chains that belong to the same nick, maybe run the merging on startup?
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Hi,
Great work, sparked my interest in probabilistic programming!
I'm mostly interested in Hidden Markov Models and in particular in a variant called **Hidden Markov Trees** (not to be confused with…
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Novel generated using Markov chains modelled off of _Star Trek: The Next Generation_ scripts.