Titlebook: Denumerable Markov Chains; with a chapter of Ma John G. Kemeny,J. Laurie Snell,Anthony W. Knapp Textbook 1976Latest edition Springer Scienc

brachytherapy

書(shū)目名稱(chēng)Denumerable Markov Chains影響因子(影響力)




書(shū)目名稱(chēng)Denumerable Markov Chains影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Denumerable Markov Chains網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Denumerable Markov Chains網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Denumerable Markov Chains被引頻次




書(shū)目名稱(chēng)Denumerable Markov Chains被引頻次學(xué)科排名




書(shū)目名稱(chēng)Denumerable Markov Chains年度引用




書(shū)目名稱(chēng)Denumerable Markov Chains年度引用學(xué)科排名




書(shū)目名稱(chēng)Denumerable Markov Chains讀者反饋




書(shū)目名稱(chēng)Denumerable Markov Chains讀者反饋學(xué)科排名

干旱

Properties of Markov Chains,hat an arbitrary stochastic process may be considered as a process on a suitable . in which the outcome functions . are coordinate functions. We see, therefore, that in a sense no generality is lost by discussing Markov chains in terms of sequence space.

Conserve

Recurrent Chains,nt chains begins with a charac-terization of finite-valued non-negative superregular measures and functions; the reader should turn back to Sections 1-6c and 1-6d for the terms referred to in what follows.

大范圍流行

A保存的

托人看管

托人看管

Introduction to Random Fields,in an arbitrary countable parameter set .. Roughly, a random field with denumerable state space . is described by a probability measure . on the space . = . of all configurations of values from . on the generalized time set .. In this chapter we discuss certain extensions of Markov chains, called .

Apoptosis

aggressor

https://doi.org/10.1007/978-3-642-82595-8which have been important objects of study in the recent development of probability theory. Only some of the highlights of this rich theory will be covered; we concentrate especially on the case . the integers, where the connections with classical Markov chain theory are deepest.

甜瓜

Introduction to Random Fields,which have been important objects of study in the recent development of probability theory. Only some of the highlights of this rich theory will be covered; we concentrate especially on the case . the integers, where the connections with classical Markov chain theory are deepest.