A Subgeometric Convergence Formula for Total-variation Error of the Level-increment Truncation Approximation of M/G/1-type Markov Chains
Katsuhisa Ouchi, Hiroyuki Masuyama

TL;DR
This paper derives a subgeometric convergence formula for the total-variation error in the level-increment truncation approximation of M/G/1-type Markov chains, aiding in understanding the approximation's accuracy.
Contribution
It provides the first subgeometric convergence formula for the total-variation error in LI truncation of M/G/1-type Markov chains, enhancing theoretical understanding.
Findings
Subgeometric convergence formula established
Quantifies error between stationary distribution and approximation
Improves accuracy analysis of LI truncation method
Abstract
This paper considers the level-increment (LI) truncation approximation of M/G/1-type Markov chains. The LI truncation approximation is usually used to implement Ramaswami's recursion for the stationary distribution in M/G/1-type Markov chains. The main result of this paper is a subgeometric convergence formula for the total-variation distance between the stationary distribution and its LI truncation approximation.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Statistical Methods and Inference · Advanced Statistical Methods and Models
