theory of probability, an absorbing Markov chain is a Markov chain in which every state can reach an absorbing state. An absorbing state is a state that,...

whose moves are determined entirely by dice is a Markov chain, indeed, an absorbing Markov chain. This is in contrast to card games such as blackjack, where...

In probability, a discrete-time Markov chain (DTMC) is a sequence of random variables, known as a stochastic process, in which the value of the next variable...

In probability theory and statistics, a Markov chain or Markov process is a stochastic process describing a sequence of possible events in which the probability...

process Absorbing Markov chain Continuous-time Markov chain Discrete-time Markov chain Nearly completely decomposable Markov chain Quantum Markov chain Telescoping...

the time until absorption of an absorbing Markov chain with one absorbing state. Each of the states of the Markov chain represents one of the phases. It...

Fundamental matrix (linear differential equation) Fundamental matrix (absorbing Markov chain) This disambiguation page lists articles associated with the title...

importance for an active trader. Business and economics portal Absorbing Markov chain (used in mathematical finance to calculate risk of ruin) Asset allocation...

stochastic matrix is a square matrix used to describe the transitions of a Markov chain. Each of its entries is a nonnegative real number representing a probability...

COMAP/UMAP, 1983. U105, U109. Markov chains and applications of matrix methods : fixed point and absorbing Markov chains by Mary K Keller; Consortium for...

Abductive reasoning Absolute deviation Absolute risk reduction Absorbing Markov chain ABX test Accelerated failure time model Acceptable quality limit...

version of snakes and ladders can be represented exactly as an absorbing Markov chain, since from any square the odds of moving to any other square are...

terminal states and inferring cell-fate plasticity using a scalable Absorbing Markov chain model. Monocle first employs a differential expression test to reduce...

anemone-dwelling clownfish, and cavity-nesting birds. Society portal Markov chains Structural functionalism Pinfield, Lawrence (1995). The Operation of...

"centrality" and "diversity" in a unified mathematical framework based on absorbing Markov chain random walks (a random walk where certain states end the walk)....

scientists. Markov processes and Markov chains are named after Andrey Markov who studied Markov chains in the early 20th century. Markov was interested...

could be used to determine the basic descriptive qualities of an absorbing Markov chain. The algorithm depended on recurrence of the initial distribution...

Seneta, E. (1965). "On Quasi-Stationary Distributions in Absorbing Discrete-Time Finite Markov Chains". Journal of Applied Probability. 2 (1): 88–100. doi:10...

sampled empirical measures. In contrast with traditional Monte Carlo and Markov chain Monte Carlo methods these mean-field particle techniques rely on sequential...

describing the time until absorption of a Markov process with one absorbing state. Each of the states of the Markov process represents one of the phases....

0)&{\text{ if }}X(t)=0.\end{cases}}} The operator is a continuous time Markov chain and is usually called the environment process, background process or...

Markov additive process Markov blanket / Bay Markov chain mixing time / (L:D) Markov decision process Markov information source Markov kernel Markov logic...

and are related to other probabilistic models such as Markov decision processes and Markov chains. Weighted automata have applications in natural language...

a finite state Markov process. If we have a k+1 state process, where the first k states are transient and the state k+1 is an absorbing state, then the...

but will instead reach one of several equilibria (sometimes known as absorbing states). This dynamic vision of economic evolution is very different from...

dependability state diagram is a method for modelling a system as a Markov chain. It is used in reliability engineering for availability and reliability...

distribution which describes the first hit time of the absorbing state of a finite terminating Markov chain. The extended negative binomial distribution The...

syntactic monoid. In probability theory, semigroups are associated with Markov processes. In other areas of applied mathematics, semigroups are fundamental...

coalescing[clarification needed] Markov chains. Frequently, these problems will then be reduced to others involving independent Markov chains. A voter model is a (continuous...

Carlo method: Direct simulation Monte Carlo Quasi-Monte Carlo method Markov chain Monte Carlo Metropolis–Hastings algorithm Multiple-try Metropolis — modification...