TY - JOUR
T1 - Time and Ratio Expected Average Cost Optimality for Semi-Markov Control Processes on Borel Spaces
AU - Luque-Vásquez, Fernando
AU - Vega-Amaya, Oscar
PY - 2004/3
Y1 - 2004/3
N2 - We deal with semi-Markov control models with Borel state and control spaces, and unbounded cost functions under the ratio and the time expected average cost criteria. Under suitable growth conditions on the costs and the mean holding times together with stability conditions on the embedded Markov chains, we show the following facts: (i) the ratio and the time average costs coincide in the class of the stationary policies; (ii) there exists a stationary policy which is optimal for both criteria. Moreover, we provide a generalization of the classical Wald's Lemma to semi-Markov processes. These results are obtained combining the existence of solutions of the average cost optimality equation and the Optional Stopping Theorem.
AB - We deal with semi-Markov control models with Borel state and control spaces, and unbounded cost functions under the ratio and the time expected average cost criteria. Under suitable growth conditions on the costs and the mean holding times together with stability conditions on the embedded Markov chains, we show the following facts: (i) the ratio and the time average costs coincide in the class of the stationary policies; (ii) there exists a stationary policy which is optimal for both criteria. Moreover, we provide a generalization of the classical Wald's Lemma to semi-Markov processes. These results are obtained combining the existence of solutions of the average cost optimality equation and the Optional Stopping Theorem.
KW - Average cost criteria
KW - Optional stopping theorem
KW - Semi-Markov control processes
UR - http://www.scopus.com/inward/record.url?scp=18144447450&partnerID=8YFLogxK
U2 - 10.1081/STA-120028693
DO - 10.1081/STA-120028693
M3 - Artículo
SN - 0361-0926
VL - 33
SP - 715
EP - 734
JO - Communications in Statistics - Theory and Methods
JF - Communications in Statistics - Theory and Methods
IS - 3
ER -