#markovchain — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #markovchain, aggregated by home.social.
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`His initial intended uses were for linguistic analysis and other mathematical subjects like card shuffling, but both Markov chains and matrices rapidly found use in other fields.`
https://en.wikipedia.org/wiki/Stochastic_matrix#History
#AndreyMarkov #Markov #MarkovChain #MarkovModel #statistics #stochastic #stochasticProcess #randomWalk #statisticalPhysics #physics #inference #distribution #equilibrium #transitionRate #transitionMatrix #MarkovMatrix #stochasticMatrix #linearAlgebra #differentialEquation #equation
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`His initial intended uses were for linguistic analysis and other mathematical subjects like card shuffling, but both Markov chains and matrices rapidly found use in other fields.`
https://en.wikipedia.org/wiki/Stochastic_matrix#History
#AndreyMarkov #Markov #MarkovChain #MarkovModel #statistics #stochastic #stochasticProcess #randomWalk #statisticalPhysics #physics #inference #distribution #equilibrium #transitionRate #transitionMatrix #MarkovMatrix #stochasticMatrix #linearAlgebra #differentialEquation #equation
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`His initial intended uses were for linguistic analysis and other mathematical subjects like card shuffling, but both Markov chains and matrices rapidly found use in other fields.`
https://en.wikipedia.org/wiki/Stochastic_matrix#History
#AndreyMarkov #Markov #MarkovChain #MarkovModel #statistics #stochastic #stochasticProcess #randomWalk #statisticalPhysics #physics #inference #distribution #equilibrium #transitionRate #transitionMatrix #MarkovMatrix #stochasticMatrix #linearAlgebra #differentialEquation #equation
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`His initial intended uses were for linguistic analysis and other mathematical subjects like card shuffling, but both Markov chains and matrices rapidly found use in other fields.`
https://en.wikipedia.org/wiki/Stochastic_matrix#History
#AndreyMarkov #Markov #MarkovChain #MarkovModel #statistics #stochastic #stochasticProcess #randomWalk #statisticalPhysics #physics #inference #distribution #equilibrium #transitionRate #transitionMatrix #MarkovMatrix #stochasticMatrix #linearAlgebra #differentialEquation #equation
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`His initial intended uses were for linguistic analysis and other mathematical subjects like card shuffling, but both Markov chains and matrices rapidly found use in other fields.`
https://en.wikipedia.org/wiki/Stochastic_matrix#History
#AndreyMarkov #Markov #MarkovChain #MarkovModel #statistics #stochastic #stochasticProcess #randomWalk #statisticalPhysics #physics #inference #distribution #equilibrium #transitionRate #transitionMatrix #MarkovMatrix #stochasticMatrix #linearAlgebra #differentialEquation #equation
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The Torment Nexus is now available to play! This is my submission to REALLY BAD BOOGALOO IF.
#TheTormentNexus #InteractiveFiction #Twine #ReallyBogalooBadIF #Markov #MarkovChain #games
https://damonwakes.itch.io/the-torment-nexus -
The Torment Nexus is now available to play! This is my submission to REALLY BAD BOOGALOO IF.
#TheTormentNexus #InteractiveFiction #Twine #ReallyBogalooBadIF #Markov #MarkovChain #games
https://damonwakes.itch.io/the-torment-nexus -
A drunk man will find his way home, but a drunk bird may get lost forever.” What is this sentence about?
In 2D, the random walk is “recurrent”, i.e. you are guaranteed to go back to where you started; but in 3D, the random walk is “transient”, the opposite of “recurrent”. In fact, for the 2D case, that also means that you are guaranteed to go to ALL places in the world (the only constraint is, of course, time). [Think about why.]
Markov chains are also an important tool in modelling the real world, and so I feel like this is a good excuse for bringing it up.
At the end, I also compare this phenomenon to Stein’s paradox – in both cases, there is a cutoff between 2 and 3 dimensions, and they have similar intuitive explanation – is that a coincidence?
Random walks in 2D and 3D are fundamentally different
#MarkovChain #MarkovChains #Math #Mathematics #nowWatching #randomWalk #randomness #StochasticProcess #YouTube
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A drunk man will find his way home, but a drunk bird may get lost forever.” What is this sentence about?
In 2D, the random walk is “recurrent”, i.e. you are guaranteed to go back to where you started; but in 3D, the random walk is “transient”, the opposite of “recurrent”. In fact, for the 2D case, that also means that you are guaranteed to go to ALL places in the world (the only constraint is, of course, time). [Think about why.]
Markov chains are also an important tool in modelling the real world, and so I feel like this is a good excuse for bringing it up.
At the end, I also compare this phenomenon to Stein’s paradox – in both cases, there is a cutoff between 2 and 3 dimensions, and they have similar intuitive explanation – is that a coincidence?
Random walks in 2D and 3D are fundamentally different
#MarkovChain #MarkovChains #Math #Mathematics #nowWatching #randomWalk #randomness #StochasticProcess #YouTube
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A drunk man will find his way home, but a drunk bird may get lost forever.” What is this sentence about?
In 2D, the random walk is “recurrent”, i.e. you are guaranteed to go back to where you started; but in 3D, the random walk is “transient”, the opposite of “recurrent”. In fact, for the 2D case, that also means that you are guaranteed to go to ALL places in the world (the only constraint is, of course, time). [Think about why.]
Markov chains are also an important tool in modelling the real world, and so I feel like this is a good excuse for bringing it up.
At the end, I also compare this phenomenon to Stein’s paradox – in both cases, there is a cutoff between 2 and 3 dimensions, and they have similar intuitive explanation – is that a coincidence?
Random walks in 2D and 3D are fundamentally different
#MarkovChain #MarkovChains #Math #Mathematics #nowWatching #randomWalk #randomness #StochasticProcess #YouTube
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Informative beginner's guide to Markov-Chain Monte-Carlo algorithm
https://wiki.pathmind.com/markov-chain-monte-carlo -
Informative beginner's guide to Markov-Chain Monte-Carlo algorithm
https://wiki.pathmind.com/markov-chain-monte-carlo