March 2012 Phase-type distributions and optimal stopping for autoregressive processes
Sören Christensen
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J. Appl. Probab. 49(1): 22-39 (March 2012). DOI: 10.1239/jap/1331216832

Abstract

Autoregressive processes are intensively studied in statistics and other fields of applied stochastics. For many applications, the overshoot and the threshold time are of special interest. When the upward innovations are in the class of phase-type distributions, we determine the joint distribution of these two quantities and apply this result to problems of optimal stopping. Using a principle of continuous fit, this leads to explicit solutions.

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Sören Christensen. "Phase-type distributions and optimal stopping for autoregressive processes." J. Appl. Probab. 49 (1) 22 - 39, March 2012. https://doi.org/10.1239/jap/1331216832

Information

Published: March 2012
First available in Project Euclid: 8 March 2012

zbMATH: 1254.60051
MathSciNet: MR2952880
Digital Object Identifier: 10.1239/jap/1331216832

Subjects:
Primary: 60G99
Secondary: 60G40 , 62L15

Keywords: autoregressive process , Optimal stopping , phase-type innovation , threshold time

Rights: Copyright © 2012 Applied Probability Trust

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Vol.49 • No. 1 • March 2012
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