✦ LIBER ✦

Introduction to Markov chains – the finite case

✍ Scribed by John Haigh

Book ID: 111287364
Publisher: John Wiley and Sons
Year: 2010
Tongue: English
Weight: 169 KB
Volume: 7
Category: Article
ISSN: 1740-9705
DOI: 10.1111/j.1740-9713.2010.00427.x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Markov chain convergence: From finite to

Markov chain convergence: From finite to infinite

✍ Jeffrey S. Rosenthal 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 865 KB

The imbedding problem for finite Markov

The imbedding problem for finite Markov chains

✍ J. F. C. Kingman 📂 Article 📅 1962 🏛 Springer 🌐 English ⚖ 574 KB

The expected hitting times for finite Ma

The expected hitting times for finite Markov chains

✍ Haiyan Chen; Fuji Zhang 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 195 KB

Bootstrapping the autocorrelation coeffi

Bootstrapping the autocorrelation coefficient of finite Markov chains

✍ C.D. Fuh 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 632 KB

On the Markov property of a finite hidde

On the Markov property of a finite hidden Markov chain

✍ Peter Spreij 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 119 KB

In this paper we study the question of the conditions under which a hidden Markov chain itself exhibits Markovian behaviour. An insightful method to answer this question is based on a recursive ÿltering formula for the underlying chain.

The Kemeny Constant for Finite Homogeneo

The Kemeny Constant for Finite Homogeneous Ergodic Markov Chains

✍ M. Catral; S. J. Kirkland; M. Neumann; N.-S. Sze 📂 Article 📅 2010 🏛 Springer US 🌐 English ⚖ 416 KB