[1] Pugachev V. S.: Statistical Problems of Pattern Recognition Theory. The Third All-Union Conferenc on Automatic Control. Odessa, 1965.

[2] Pugachev V. S.: A Bayes Approach to the Theory of Learning Systems. The Third Congress of IFAC, London, 20-25 June, 1966. MR 0383860

[3] Pugachev V. S.: Optimal Algorithms of Learning of Automatic Systems in the Case of a Non-Ideal Teacher. Doklady Akademii Nauk SSSR 172 (1967), 5, 1039-1042 (in Russian).

[4] Fabian V., Špaček A.: Experience in Statistical Decision Problems. Czechoslovak Math. Journ. 6 (1956), 190-194. MR 0086468

[5] Špaček A.: An Elementary Experience Problem. Transactions of the Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1956). Prague 1957, 253-258. MR 0106533

[6] Driml M., Špaček A.: Continuous Random Decision Processes Controlled by Experience. Transactions of the First Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1956). Prague 1957, 43-60. MR 0101596

[7] Winkelbauer K.: Experience in Games of Strategy and in Statistical Decision. Transactions of the First Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1956). Prague 1957, 297-354. MR 0106534

[8] Hanš O.: Random Fixed Point Theorems. Transactions of the First Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1956). Prague 1957, 105-125. MR 0100907

[9] Prouza L.: Bemerkungen zur Lineare Prediktion mittels eines lernenden Filters. Transactions of the First Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1956). Prague 1957, 37-41. MR 0098430

[10] Driml M., Hanš O.: On Experience Theory Problems. Transactions of the Second Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1959). Prague 1960, 93-111. MR 0142189

[11] Driml M., Hanš O.: Continuous Stochastic Approximations. Transactions of the Second Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1959). Prague 1960, 113-122. MR 0130702

[12] Driml M., Nedoma J.: Stochastic Approximations for Continuous Random Processes. Transactions of the Second Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1959). Prague 1960, 145-158. MR 0126877

[13] Hanš O., Špaček A.: Random Fixed Point Approximation by Differentiable Trajectories. Transactions of the Second Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1959). Prague 1960, 203-213. MR 0124084

[14] Šefl O.: Filters and Predictors which Adapt Their Values to the Unknown Parameters of the Input Process. Transactions of the Second Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1959). Prague 1960, 597-608. MR 0134391

[15] Fabian V.: A Stochastic Approximation Method for Finding Optimal Conditions in Experimental Work and in Self-Adaptive Systems. Aplikace matematiky 6 (1961), 162-183 (in Czech). MR 0131896

[16] Fabian V.: A Block-scheme of an Automatic Optimizer. Aplikace matematiky 7 (1962), 426-440 (in Czech).

[17] Fabian V.: A New One-dimensional Stochastic Approximation Method for Finding a Local Minimum of a Function. Transactions of the Third Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1962). Prague 1964, 85-105. MR 0169317

[18] Šefl O.: Some Problems of Automatic Control Processes with Unknown Characteristics. Transactions of the Third Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1962). Prague 1964, 611-620 (in Russian). MR 0166898

[19] Gardner L. A.: Adaptive Predictors. Transactions of the Third Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1962). Prague 1964, 123-192. MR 0166896

[20] Pugachev V. S.: Method of Determining the Optimum System with a Non-linear Dependence of the Observed Function of the Parameters of Signal. Automatic and Remote Control. Proceedings of the First Congress of IFAC (1960). Butterworth, London 1961, 2, 702-705.

[21] Robbins H.: An Empirical Bayes Approach to Statistics. Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, 1 (1955), 157-164. MR 0084919

[22] Robbins H.: An Empirical Bayes Approach to Testing Statistical Hypothesis. Review of the International Statistical Institute 31 (1963), 2, 195-208. MR 0191039

[23] Robbins H.: An Empircial Bayes Approach to Problems of Statistical Decision Theory. Annals of Math. Statistics 35 (1964), 1, 1-20. MR 0163407

[24] Johns H. V.: Non-parametric Empircial Bayes Procedures. Annals of Math. Statistics 28 (1957), 649-669. MR 0096340

[25] Johns H. V.: An Empirical Bayes Approach to Non-parametric Two-way Classification. Studies in Item Analysis and Prediction (edited by H. Solomon). Stanford University Press, 1961, 221-232. MR 0121921 | Zbl 0106.13001

[26] Cooper D. V.: Adaptive Pattern Recognition and Signal Detection Using Stochastic Approximation. IEEE Transactions on Electronic Computers EC-13 (1964), 3, 306-307.

[27] Tsypkin Ya. Z.: Adaptation, Lerning and Self-learning in Automatic Systems. Avtomatika i Telemekhanika 27 (1966), 1, 23-61 (in Russian). MR 0197210

[28] Shaikin M. E.: A Bayes Approach to Self-adapting Filters Using a Finite Number of Teaching Samples. The Third All-Union Conference on Automatic Control. Odessa, 1965.

[29] Aizerman M. A., Braverman E. M., Rozonoer L. I.: Theoretical Foundations of Potential Functions Method in the Problem of Teaching Automata to Classify Input Situations. Avtomatika i Telemekhanika 25 (1964), 6, 917-936 (in Russian). MR 0172768

[30] Pugachev V. S.: Theory of Random Functions and its Application to Control Problems. Pergamon Press, 1965 (English translation of Russian book: B. C. Пугачев: Теория случайных фунций и ее применение к задачам автоматического управления. Физматгиз, 1957, 1960, 1962). MR 0177829

[31] Shepp L. A.: Radon-Nikodym Derivatives of Gaussian Measures. Annals of Math. Statistics 37 (1966), 2, 321-354. MR 0190999 | Zbl 0142.13901

[32] Rozanov Yu. A.: On the Density of Gaussian Distributions and Wiener - Hopf Integral Equations. Teoria Veroyatnostei i ee Primeneniya 11 (1966), 1, 170-179 (in Russian). MR 0195140

[33] Pugachev V. S.: Methods for Solving Sets of Integral Equations Occuring in Problems of Optimization of Multidimensional Systems. Proceedings of the Sixth All-Union Conference on Probability Theory and Mathematical Statistics (1960). Vilnius 1962, 233-237 (in Russian).

[34] Sysoev L. P.: Estimates of Parameters of Signals Modulated by Random Processes. Avtomatika i Telemekhanika 26 (1965), 10, 1255-1261 (in Russian).

[35] Pugachev V. S.: An Effective Method for Finding a Bayes Decision. Transactions of the Second Prague Conference on Information Theory, Statistical Decision Functions, Random Processes (1959). Prague 1960, 531-540 (in Russian).

[36] Pugachev V. S.: A method for Determining Optimum Systems Using General Bayes Criteria. IRE Transactions on Circuit Theory CT-7 (1960), 4, 491-505. MR 0122621

[37] Pugachev V. S.: A Method for Determining an Optimal System Using a General Bayes Criterion. Izvestia Akademii Nauk SSSR, OTN, Energetika i Avtomatika (1960), 2, 83-97 (in Russian).