Results 71 to 80 of about 2,698,128 (173)

Symbulate: Simulation in the Language of Probability

open access: yesJournal of Statistics Education, 2019
Simulation is an effective tool for analyzing probability models as well as for facilitating understanding of concepts in probability and statistics. Unfortunately, implementing a simulation from scratch often requires users to think about programming ...
Kevin Ross, Dennis L. Sun
doaj   +1 more source

A new belief Markov chain model and its application in inventory prediction [PDF]

open access: yesarXiv, 2017
Markov chain model is widely applied in many fields, especially the field of prediction. The classical Discrete-time Markov chain(DTMC) is a widely used method for prediction. However, the classical DTMC model has some limitation when the system is complex with uncertain information or state space is not discrete.
arxiv  

On Sampling Colorings of Bipartite Graphs

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2006
We study the problem of efficiently sampling k-colorings of bipartite graphs. We show that a class of markov chains cannot be used as efficient samplers.
R. Balasubramanian, C. R. Subramanian
doaj  

Birth-and-Death Processes in Python: The BirDePy Package

open access: yesJournal of Statistical Software
Birth-and-death processes (BDPs) form a class of continuous-time Markov chains that are particularly suited to describing the changes in the size of a population over time.
Sophie Hautphenne, Brendan Patch
doaj   +1 more source

Commutation relations and Markov chains [PDF]

open access: yesarXiv, 2007
It is shown that the combinatorics of commutation relations is well suited for analyzing the convergence rate of certain Markov chains. Examples studied include random walk on irreducible representations, a local random walk on partitions whose stationary distribution is the Ewens distribution, and some birth-death chains.
arxiv  

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