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[2] Perez A.: Information and $\varepsilon$-Sufficiency. Paper No. 41 presented at the 35th Session of the International Statistical Institute, Beograd, 1965.

[3] Perez A.: Information Theory Methods in Reducing Complex Decision Problems. To appear in: Transactions of the Fourth Prague Conference on Information Theory, Statistical Decision Problems and Random Processes (1965). MR 0216676

[4] Csiszár I.: Eine informationstheoretische Ungleichung und ihre Anwendung auf den Beweis der Ergodizität von Markoffschen Ketten. Publications of the Mathematical Institute of the Hungarian Academy of Sciences VIII (1963), Series A, Fasc. 1-2, 85-108. MR 0164374

[5] Perez A.: Extensions of the Shannon-McMillan's Limit Theorem to more general Stochastic Processes. In: Transactions of the Third Prague Conference on Information Theory, Statistical Decision Functions and Random Processes (1962), Prague 1964, 545-574. MR 0165996

[6] Perez A.: Notions généralisées d'incertitude, d'entropie et d'information du point de vue de la théorie des partingales. In: Transactions of the First Prague Conference on Information Theory, Statistical Decision Functions and Random Processes (1956), Prague 1957, 183 - 208. MR 0099889

[7] Rényi A.: On measures of entropy and information. In: Proceedings of the 4th Berkeley Symposium on Probability and Statistics, I, Berkeley, 1960, 547-561. MR 0132570

[8] Kovalevskij V. A.: The problem of pattern recognition from the point of view of mathematical statistics. In: Reading Automata, Kiev 1965, 8-37 (in Russian).