Improved estimators for constrained Markov chain models
✍ Scribed by Ursula U. Müller; Anton Schick; Wolfgang Wefelmeyer
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 105 KB
- Volume
- 54
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
This paper considers a zero-sum constrained stochastic game. The control objective of each participant is to optimize his limiting average payo . In this case, the behavior of each player is modelled with a ÿnite ergodic controlled Markov chain. The saddle point is shown to be the stationary strateg
A Markov chain is a natural probability model for accounts receivable. For example, accounts that are 'current' this month have a probability of moving next month into 'current', 'delinquent' or 'paid-off' states. If the transition matrix of the Markov chain were known, forecasts could be formed for
## Abstract Understanding and quantifying the behaviour of extreme wind speeds has important applications for design in civil engineering. As in the extremal analysis of any environmental process, estimates are often required of the probability of events that are rarer than those already recorded.