A Markov kernel K(x,⋅) assigns a probability distribution to each current state x and acts on a distribution P by (PK)(A)=∫K(x,A)P(dx).
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- Markov chain
- Markov process
- Probability theory
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- Absolute L2 spectral gap of a reversible Markov chain
- Bernoulli sample sum as a sufficient statistic
- Bounded conditional moments imply a geometric drift
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- Markov chain variational inference
- Markov process
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