LARGE DEVIATIONS, HYPOTHESES TESTING, AND SOURCE-CODING FOR FINITE MARKOV-CHAINS

被引:64
作者
NATARAJAN, S
机构
关键词
D O I
10.1109/TIT.1985.1057036
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
引用
收藏
页码:360 / 365
页数:6
相关论文
共 14 条
[1]  
Bahadur RR, 1971, SOME LIMIT THEOREMS
[2]   ASYMPTOTICALLY OPTIMAL TESTS FOR FINITE MARKOV CHAINS [J].
BOZA, LB .
ANNALS OF MATHEMATICAL STATISTICS, 1971, 42 (06) :1992-&
[3]  
Csiszar I., 1971, STUD SCI MATH HUNG, V6, P181
[4]  
CSISZAR I, 1981, INFORMATION THEORY C
[5]   THE ERROR EXPONENT FOR THE NOISELESS ENCODING OF FINITE ERGODIC MARKOV SOURCES [J].
DAVISSON, LD ;
LONGO, G ;
SGARRO, A .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1981, 27 (04) :431-438
[6]   ASYMPTOTICALLY OPTIMAL TESTS FOR MULTINOMIAL DISTRIBUTIONS [J].
HOEFFDING, W .
ANNALS OF MATHEMATICAL STATISTICS, 1965, 36 (02) :369-408
[7]  
Jelinek F., 1968, PROBABILISTIC INFORM
[8]   ASYMPTOTIC RATE OF DISCRIMINATION FOR MARKOV-PROCESSES [J].
KOOPMANS, LH .
ANNALS OF MATHEMATICAL STATISTICS, 1960, 31 (04) :982-994
[9]  
LONGO G, 1979, IEEE T INFORM THEORY, V25, P544, DOI 10.1109/TIT.1979.1056081
[10]  
Longo G., 1980, J COMBIN INFORM SYST, V5, P58