... of **Markov** chains is the categorization of states as either recurrent or ...The **Markov** chain, once started in a recurrent **state**, will return to that **state** with probability ...transient ...

... one-step **transition** probabilities, it is in many cases easier to calculate the convolutions of the measures ...shall **state** and prove two theorems where the tightness conditions are given in terms of these ...

... the **transition** rate **matrix** is shown in ...the **transition** rate **matrix** ex- plains only a small part of the information ...lead **transition** **matrix** starting in June, its eigenvectors, ...

... the **transition** functions and the noise covariance **matrix**, ML produces severely biased estimates, especially for the parameters that appear in the **transition** ...the **transition** functions and the ...

... resultant **transition** probability **matrix**. If we found **transition** probability values that were near-zero in the unrestricted estimation, for example ...m **transition** restriction ma- ...the ...

... multiply **transition** probabilities **matrix** and initial disease prevalence, and then replicate it for 20 cycles (representing 70 ...each **state** for each ...that **transition** for each cycle is quite ...

... the **state** the economy is in at time ...in **state** 1; the second set apply when the system is in **state** ...a **Markov** chain which itself depends on a **transition** ...The **transition** ...

... In this section, we present an upper bound on the expected number of steps needed to visit all states in a reversible **Markov** chain with **state** space V . We decompose this process into a sum of expected rst ...

... the **Markov** Chain model was used to analyse the probability distribution of the damage **state** of the Aluminium Alloy, A7075-T6 ...the **transition** probability **matrix** and visualises the performance ...

... A **Markov** chain, in general, is a way to describe a movement of **state** from one position to ...time **Markov** Chain (DTMC) analysis is a type of **Markov** chain in which a ﬁnite **state** space ex- ...

... steady **state** behavior of a cold standby system equipped with two similar units and a server with elapsed arrival and treatment times following general probability distri- ...for **state** **transition** ...

... semi- **Markov** multi-**state** models to panel ...usual **Markov** assumption, their proposed methods require some strong assumptions, which arise from their modeling of time as ...a **state** (such as HPV ...

... absorbing **Markov** chain with rational **transition** probabilities ordered by predecessor relations with three absorbing ...termination **state** of game does not depend on order of firing to ...

... ∑ because m and n conditions repeatedly occurs at t intervals. Therefore, the expected number of transitions from i to j condition on the condition of observed data Y and **Matrix** **transition** P accumulating on ...

... checking **Markov** models with labeled transitions and ...steady **state** distribution conditioned on some subset of the **state** ...at **state** level since bisimulation no longer characterizes the ...

... Existing **Markov**-based methods for occupancy prediction have potential deficiencies that need to be addressed to improve oc- cupancy modelling. First, most do not differentiate between household types beyond the ...

... order **Markov** chain prediction model. This **Markov** chain prediction model uses the fit distribution of the transitions in a forward moving interval with time span of 15 minutes to estimate the ...

... is the Markov transition matrix arising from the kneading sequence fµ of the one-parameter family of real quadratic maps fµ.. Using Milnor-Thurston kneading theory [14], Guckenheimer [[r] ...

... squares **matrix** (LSM) algorithm for the estimation of the dynamic **state**-space ...data **matrix** includes M vectors (4). The uptake of the data **matrix** consists of the addition of the most recent ...

... Hidden Markov Model with Time Varying Transition Matrix and Random Effects ( M 7 ) Even though the groups are homogeneous with respect to the financial characteristics used to form them,[r] ...