Markov's principle (also known as the Leningrad principle), named after Andrey Markov Jr, is a conditional existence statement for which there are many...

particular associated with Markov's principle and Markov's rule in mathematical logic, Markov's theorem in knot theory and Markov algorithm in theoretical...

In principle, any Markov chain Monte Carlo sampler can be turned into an interacting Markov chain Monte Carlo sampler. These interacting Markov chain...

{\displaystyle x\geq 0} or x ≤ 0 {\displaystyle x\leq 0} , while the analytic Markov's principle states that if x ≤ 0 {\displaystyle x\leq 0} is false, then x > 0...

The principle of detailed balance can be used in kinetic systems which are decomposed into elementary processes (collisions, or steps, or elementary reactions)...

being consistent with the provability reading of constructive logic. Markov's principle for primitive recursive predicates M P P R {\displaystyle {\mathrm...

A hidden Markov model (HMM) is a Markov model in which the observations are dependent on a latent (or "hidden") Markov process (referred to as X {\displaystyle...

The principle of maximum entropy states that the probability distribution which best represents the current state of knowledge about a system is the one...

arithmetic extended with the following principles Axiom of choice Markov's principle Independence of premise for universal formulas is necessary and sufficient...

property, Markov's inequality, Markov processes, Markov random field, Markov algorithm etc. Andrey Markov, Jr., author of Markov's principle and Markov's rule...