Truncation procedures for non-negative matrices-Reference-Cited by-同舟云学术

Truncation procedures for non-negative matrices

Published:1971-06 Issue:2 Volume:8 Page:311-320
ISSN:0021-9002
Container-title:Journal of Applied Probability
language:en
Short-container-title:Journal of Applied Probability

Author:

Tweedie Richard L.

Abstract

1. Let T = (tij), i, j = 0, 1, ···, tij ≧ 0, denote an infinite non-negative matrix. We shall assume at all times that where are the matrix iterates of T; we take T0 = I = (δij).

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Reference7 articles.

1. Denumerable Markov processes with bounded generators: a routine for calculating pij(8);Jensen;J. Appl. Prob.,1971

2. The Exponential Decay of Markov Transition Probabilities

3. Ergodic properties of nonnegative matrices. I

4. Finite approximations to infinite non-negative matrices

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