✦ LIBER ✦

Transition probabilities for continual young diagrams and the Markov moment problem

✍ Scribed by S. V. Kerov

Book ID: 105064944
Publisher: Springer US
Year: 1993
Tongue: English
Weight: 910 KB
Volume: 27
Category: Article
ISSN: 0016-2663
DOI: 10.1007/bf01085981

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Min-problem for Markov moments and the s

Min-problem for Markov moments and the speed of response

✍ V. I. Korobov; G. M. Sklyar 📂 Article 📅 1991 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 698 KB

Absolute transition probabilities, oscil

Absolute transition probabilities, oscillator strengths, and electronic transition moments for the first negative system of CO+

✍ K.C. Joshi; V.D.P. Sastri; S. Parthasarathi 📂 Article 📅 1966 🏛 Elsevier Science 🌐 English ⚖ 259 KB

Moment information for probability distr

Moment information for probability distributions, without solving the moment problem, II: Main-mass, tails and shape approximation

✍ P.N. Gavriliadis; G.A. Athanassoulis 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 900 KB

How much information does a small number of moments carry about the unknown distribution function? Is it possible to explicitly obtain from these moments some useful information, e.g., about the support, the modality, the general shape, or the tails of a distribution, without going into a detailed n

A general formulation for transition pro

A general formulation for transition probabilities of Markov model and the application to fracture of composite materials

✍ Y.-S. Roh; Y. Xi 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 362 KB

A generalized method for formulating unit-jump Markov chain model is presented. This method uses geometric series to determine the transition probabilities instead of using a moment generation function. Recursive equation for the transition probabilities has been derived in terms of the mean values.

Some Bounds on the Error in Approximatin

Some Bounds on the Error in Approximating Transition Probabilities in Continuous-Time Markov Processes

✍ John E. Angus 📂 Article 📅 1992 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 311 KB

Moment and probability inequalities for

Moment and probability inequalities for sums of bounded additive functionals of regular Markov chains via the Nummelin splitting technique

✍ S.J.M. Clémençon 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 131 KB

We obtain Rosenthal-type inequalities and an estimate for large-deviation probabilities in the case of bounded additive functionals of a Markov chain under regularity assumptions via the Nummelin splitting technique.