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[1] Wolfgang J. Paul,et al. An Information-Theoretic Approach to Time Bounds for On-Line Computation , 1981, J. Comput. Syst. Sci..
[2] Gregory J. Chaitin,et al. Information-Theoretic Limitations of Formal Systems , 1974, JACM.
[3] Klaus Weihrauch,et al. Computable Analysis: An Introduction , 2014, Texts in Theoretical Computer Science. An EATCS Series.
[4] V. Vovk,et al. On the Empirical Validity of the Bayesian Method , 1993 .
[5] V. V'yugin. Ergodic Theorems for Individual Random Sequences , 1998, Theor. Comput. Sci..
[6] Claus-Peter Schnorr,et al. The process complexity and effective random tests. , 1972, STOC.
[7] Max L. Warshauer,et al. Lecture Notes in Mathematics , 2001 .
[8] Manuel Blum,et al. How to generate cryptographically strong sequences of pseudo random bits , 1982, 23rd Annual Symposium on Foundations of Computer Science (sfcs 1982).
[9] Silvio Micali,et al. How to construct random functions , 1986, JACM.
[10] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part I , 1964, Inf. Control..
[11] Harald Bergstriim. Mathematical Theory of Probability and Statistics , 1966 .
[12] Jean-Luc Ville. Étude critique de la notion de collectif , 1939 .
[13] P. Libby. The Scientific American , 1881, Nature.
[14] Klaus Weihrauch,et al. Randomness Spaces , 1998, ICALP.
[15] Péter Gács,et al. Exact Expressions for Some Randomness Tests , 1979, Math. Log. Q..
[16] M. F.,et al. Bibliography , 1985, Experimental Gerontology.
[17] Marcus Hutter,et al. Algorithmic Information Theory , 1977, IBM J. Res. Dev..
[18] C. Schnorr. Zufälligkeit und Wahrscheinlichkeit , 1971 .
[19] Leonid A. Levin,et al. Randomness Conservation Inequalities; Information and Independence in Mathematical Theories , 1984, Inf. Control..
[20] Ann Yasuhara,et al. Recursive function theory and logic , 1971, Computer science and applied mathematics.
[21] L. Levin,et al. THE COMPLEXITY OF FINITE OBJECTS AND THE DEVELOPMENT OF THE CONCEPTS OF INFORMATION AND RANDOMNESS BY MEANS OF THE THEORY OF ALGORITHMS , 1970 .
[22] Donald W. Loveland,et al. A Variant of the Kolmogorov Concept of Complexity , 1969, Information and Control.
[23] Mathieu Hoyrup,et al. Computability of probability measures and Martin-Löf randomness over metric spaces , 2007, Inf. Comput..
[24] A. Kolmogorov. Three approaches to the quantitative definition of information , 1968 .
[25] Andrew Chi-Chih Yao,et al. Theory and application of trapdoor functions , 1982, 23rd Annual Symposium on Foundations of Computer Science (sfcs 1982).
[26] Bethany Ann Birkett. Rosencrantz and Guildenstern are dead : a play , 1971 .
[27] I. Csiszár. Information Theory , 1981 .
[28] P. Laplace. A Philosophical Essay On Probabilities , 1902 .
[29] Claus-Peter Schnorr,et al. General Random Sequences and Learnable Sequences , 1977, J. Symb. Log..
[30] David G. Willis,et al. Computational Complexity and Probability Constructions , 1970, JACM.
[31] C. Peirce. An unpublished manuscript) , 2016 .
[32] P. Billingsley,et al. Convergence of Probability Measures , 1970, The Mathematical Gazette.
[33] C. Howson. Theories of Probability , 1995 .
[34] Ming Li,et al. An Introduction to Kolmogorov Complexity and Its Applications , 2019, Texts in Computer Science.
[35] Claus-Peter Schnorr,et al. Process complexity and effective random tests , 1973 .
[36] V. Strassen. The Existence of Probability Measures with Given Marginals , 1965 .
[37] Peter Gacs. Randomness and Probability—Complexity of Description , 2004 .
[38] Ray J. Solomonoff,et al. Complexity-based induction systems: Comparisons and convergence theorems , 1978, IEEE Trans. Inf. Theory.
[39] A. N. Kolmogorov,et al. Foundations of the theory of probability , 1960 .
[40] Leonid A. Levin,et al. One-way functions and pseudorandom generators , 1985, STOC '85.
[41] Péter Gács,et al. On the relation between descriptional complexity and algorithmic probability , 1981, 22nd Annual Symposium on Foundations of Computer Science (sfcs 1981).
[42] Péter Gács,et al. Algorithmic statistics , 2000, IEEE Trans. Inf. Theory.
[43] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part II , 1964, Inf. Control..
[44] Péter Gács,et al. Uniform test of algorithmic randomness over a general space , 2003, Theor. Comput. Sci..
[45] J. Hartigan. Theories of Probability , 1983 .
[46] R. M. Solovay. On Random R, E. Sets , 1977 .
[47] Per Martin-Löf,et al. The Definition of Random Sequences , 1966, Inf. Control..
[48] Andrei N. Kolmogorov,et al. Logical basis for information theory and probability theory , 1968, IEEE Trans. Inf. Theory.
[49] Vasco Brattka,et al. Computability on subsets of metric spaces , 2003, Theor. Comput. Sci..
[50] K. Mainzer,et al. Natural Numbers, Integers, and Rational Numbers , 1991 .
[51] Gregory J. Chaitin,et al. ALGORITHMIC ENTROPY OF SETS , 1976 .
[52] C. Villani. Optimal Transport: Old and New , 2008 .
[53] L. Goddard. Information Theory , 1962, Nature.