Professor Vladimir Vovk

  1. Forthcoming

    A closer look at adaptive regret

    Adamskiy, M., Koolen, W., Chernov, A. & Vovk, V., 2012, (Accepted/In press) Proceedings of the Twenty Third International Conference on Algorithmic Learning Theory. Bshouty, N., Stoltz, G., Vayatis, N. & Zeugmann, T. (eds.). Berlin: Springer, Vol. 7568. p. 290 - 304 15 p. (Lecture Notes in Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Published

    A closer look at adaptive regret

    Adamskiy, D., Koolen, W., Chernov, A. & Vovk, V., Apr 2016, In : Journal of Machine Learning Research. 17, 23, p. 1-21 21 p.

    Research output: Contribution to journalArticle

  3. Published

    A criterion for the existence of predictive complexity for binary games

    Kalnishkan, Y., Vovk, V. & Vyugin, M. V., 2004, Proceedings of the Fifteenth International Conference on Algorithmic Learning Theory. Ben-David, S., Case, J. & Maruoka, A. (eds.). Heidelberg: Springer, Vol. 3244. p. 249-263 15 p. (Lecture Notes in Artificial Intelligence; vol. 3244).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Published

    A game of prediction with expert advice

    Vovk, V., Apr 1998, In : Journal of Computer and System Sciences. 56, 2, p. 153-173 21 p.

    Research output: Contribution to journalArticle

  5. Published

    A game of prediction with expert advice

    Vovk, V., 1995, Proceedings of the Eighth Annual Conference on Computational Learning Theory . Maass, W. (ed.). New York: ACM Press, p. 51-60

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Published

    A game-theoretic explanation of the $dt$ effect

    Vovk, V. & Shafer, G., Jan 2003, (The Game-Theoretic Probability and Finance project, http://probabilityandfinance.com).

    Research output: Working paper

  7. Published

    A logic of probability, with application to the foundations of statistics (with discussion)

    Vovk, V., 1993, In : Journal of the Royal Statistical Society: Series B (Statistical Methodology). 55, p. 317-351 35 p.

    Research output: Contribution to journalArticle

  8. Published
  9. Published

    A simplified Capital Asset Pricing Model

    Vovk, V., 11 Nov 2011, 6 p.

    Research output: Working paper

  10. Published

    A strictly martingale version of Kolmogorov's strong law of large numbers

    Vovk, V., 1996, In : Theory of Probability and Its Applications. 41, 3

    Research output: Contribution to journalArticle

  11. Published

    A tutorial on conformal prediction

    Shafer, G. & Vovk, V., Mar 2008, In : Journal of Machine Learning Research. 9, p. 371-421 51 p.

    Research output: Contribution to journalArticle

  12. Published

    A tutorial on conformal prediction

    Shafer, G. & Vovk, V., 21 Jun 2007.

    Research output: Working paper

  13. Published

    A universal well-calibrated algorithm for on-line classification

    Vovk, V., Jun 2004, In : Journal of Machine Learning Research. 5, p. 575-604 30 p.

    Research output: Contribution to journalArticle

  14. Published

    Aggregating strategies

    Vovk, V., 1990, Proceedings of the Third Annual Workshop on Computational Learning Theory. Fulk, M. & Case, J. (eds.). San Mateo, CA: Morgan Kaufmann, p. 371-383 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  15. Published

    Alexey Chervonenkis's Bibliography: Introductory Comments

    Gammerman, A. & Vovk, V., Sep 2015, In : Journal of Machine Learning Research. 16, p. 2051-2066 16 p.

    Research output: Contribution to journalEditorial

  16. Published

    Alexey Chervonenkis's Bibliography

    Gammerman, A. & Vovk, V., Sep 2015, In : Journal of Machine Learning Research. 16, p. 2067-2080 14 p.

    Research output: Contribution to journalEditorial

  17. Published

    Algorithmic Learning in a Random World

    Vovk, V., Gammerman, A. & Shafer, G., 2005, Springer.

    Research output: Book/ReportBook

  18. Published

    An optimal-control application of two paradigms of on-line learning

    Vovk, V., 1994, Proceedings of the Seventh Annual Workshop on Computational Learning Theory. New York: ACM Press, p. 98-109 12 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  19. Published

    Another semantics for Pearl's action calculus

    Vovk, V., 1996, Computational Learning and Probabilistic Reasoning. Gammerman, A. (ed.). New York: Wiley-Interscience, p. 127-146 20 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  20. Published

    Asymptotic efficiency of estimators: an algorithmic approach

    Vovk, V., 1991, In : Theory of Probability and Its Applications. 36, p. 329-343 15 p.

    Research output: Contribution to journalArticle

  21. Published

    Asymptotic optimality of transductive confidence machine

    Vovk, V., 2002, Lecture Notes in Articial Intelligence. Vol. 2533. p. 336-350 15 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  22. Published

    Asymptotic optimality of Transductive Confidence Machine

    Vovk, V., May 2002, (On-line Compression Modelling project).

    Research output: Working paper

  23. Published

    Beyond the Basic Conformal Prediction Framework

    Vovk, V., 2014, Conformal Prediction for Reliable Machine Learning: Theory, Adaptations, and Applications. Balasubramanian, V. N., Ho, S-S. & Vovk, V. (eds.). 1 ed. Elsevier, p. 21-46 26 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  24. Published

    Black-Scholes formula without stochastic assumptions

    Vovk, V., Mar 2000.

    Research output: Working paper

  25. Published

    Black-Scholes formula without stochastic assumptions

    Vovk, V., May 2000, Models for Credit Risk. London: UNICOM Seminars, p. 149-154 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  26. Forthcoming

    Buy low, sell high

    Koolen, W. & Vovk, V., 2012, (Accepted/In press) Proceedings of the Twenty Third International Conference on Algorithmic Learning Theory. Bshouty, N., Stoltz, G., Vayatis, N. & Zeugmann, T. (eds.). Berlin: Springer, Vol. 7568. p. 335 - 349 15 p. (Lecture Notes in Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  27. Published

    Buy low, sell high

    Koolen, W. & Vovk, V., 2014, In : Theoretical Computer Science. 558, p. 144-158 15 p.

    Research output: Contribution to journalArticle

  28. Published

    Central limit theorem without probability

    Vovk, V., 1999.

    Research output: Working paper

  29. Published

    Clinical mass spectrometry proteomic diagnosis by conformal predictors

    Gammerman, A., Nouretdinov, I., Burford, B., Chervonenkis, A., Vovk, V. & Luo, Z., Jul 2008, In : Statistical Applications in Genetics and Molecular Biology. 7, 2, 13.

    Research output: Contribution to journalArticle

  30. Published

    Combining p-values via averaging

    Vovk, V. & Wang, R., 11 Jun 2020, In : Biometrika. p. 1-18 18 p., asaa027.

    Research output: Contribution to journalArticle

  31. Published

    Comment: The Two Styles of VC Bounds

    Vovk, V., 2015, Measures of Complexity: Festschrift for Alexey Chervonenkis. Vovk, V., Papadopoulos, H. & Gammerman, A. (eds.). Springer, p. 161-164 4 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  32. Published

    Comparing the Bayes and typicalness frameworks

    Melluish, T., Saunders, C., Nouretdinov, I. & Vovk, V., 2001, Lecture Notes in Articial Intelligence. Vol. 2167. p. 360-371

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  33. Published

    Competing with Gaussian linear experts

    Zhdanov, F. & Vovk, V., 24 Oct 2009.

    Research output: Working paper

  34. Published

    Competing with Markov prediction strategies

    Vovk, V., 28 Jul 2006, 11 p.

    Research output: Working paper

  35. Published

    Competing with stationary prediction strategies

    Vovk, V., 13 Jul 2006.

    Research output: Working paper

  36. Published

    Competing with stationary prediction strategies

    Vovk, V., 2007, Proceedings of the Twentieth Annual Conference on Learning Theory . Bshouty, N. & Gentile, C. (eds.). p. 439-453 15 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  37. Published

    Competing with wild prediction rules

    Vovk, V., Dec 2007, In : Machine Learning. 69, 2-3, p. 193-212 20 p.

    Research output: Contribution to journalArticle

  38. Published

    Competing with wild prediction rules

    Vovk, V., 14 Dec 2005.

    Research output: Working paper

  39. Published

    Competing with wild prediction rules

    Vovk, V., 2006, Proceedings of the Nineteenth Annual Conference on Learning Theory. Lugosi, G. & Simon, H. (eds.). Berlin: Springer, p. 559-573 15 p. (Lecture Notes in Articial Intelligence; vol. 4005).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  40. Published

    Competitive online generalized linear regression under square loss

    Zhdanov, F. & Vovk, V., 2010, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2010. Balcazar, J., Bonchi, F., Gionis, A. & Sebag, M. (eds.). Springer, p. 531-546 16 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  41. Published

    Competitive on-line learning with a convex loss function

    Vovk, V., 11 Jun 2005.

    Research output: Working paper

  42. Published

    Competitive on-line linear regression

    Vovk, V., 1998, Advances in Neural Information Processing Systems. Jordan, M., Kearns, M. & Solla, S. (eds.). Cambridge, MA: MIT Press, p. 364-370 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  43. Published

    Competitive on-line statistics

    Vovk, V., Aug 2001, In : INTERNATIONAL STATISTICAL REVIEW. 69, 2, p. 213-248 36 p.

    Research output: Contribution to journalArticle

  44. Published

    Competitive on-line statistics

    Vovk, V., 1999, Bulletin of the International Statistical Institute. Proceedings of the Fifty Second Session. Vol. Tome 58, Book 1. p. 231-234

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  45. Published

    Complexity approximation principle

    Vovk, V. & Gammerman, A., 1999, In : The Computer Journal. 42, 4, p. 318-322 5 p.

    Research output: Contribution to journalArticle

  46. Published

    Computationally efficient transductive machines

    Saunders, C., Gammerman, A. & Vovk, V., 2000, Proceedings of the Eleventh International Conference on Algorithmic Learning Theory. Arimura, H., Jain, S. & Sharma, A. (eds.). Berlin: Springer, p. 325-333 9 p. (Lecture Notes in Artificial Intelligence; vol. 1968).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  47. Published

    Computationally efficient versions of conformal predictive distributions

    Vovk, V., Petej, I., Nouretdinov, I., Manokhin, V. & Gammerman, A., 15 Jul 2020, In : Neurocomputing. 397, p. 292-308 17 p.

    Research output: Contribution to journalArticle

  48. Published

    Conditional prediction intervals for linear regression

    McCullagh, P., Vovk, V., Nouretdinov, I., Devetyarov, D. & Gammerman, A., 2009, Proceedings of the International Conference on Machine Learning and Applications. p. 131-138 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  49. Published

    Conditional validity of inductive conformal predictors

    Vovk, V., 5 Jul 2013, In : Machine Learning. 92, 2-3, p. 349 - 376 28 p.

    Research output: Contribution to journalArticle

  50. Published

    Conditional validity of inductive conformal predictors

    Vovk, V., 17 Nov 2012, In : JMLR: Workshop and Conference Proceedings. 25, p. 475-490 16 p.

    Research output: Contribution to journalArticle

  51. Published

    Confidence Predictions for the Diagnosis of Acute Abdominal Pain

    Papadopoulos, H., Gammerman, A. & Vovk, V., 2009, Artificial Intelligence Applications & Innovations III. Iliadis, L., Vlahavas, I. & Bramer, M. (eds.). Springer, Vol. 296. p. 175-184 10 p. (IFIP International Federation for Information Processing; vol. 296).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  52. Published

    Conformal calibration

    Vovk, V., Petej, I., Toccaceli, P., Gammerman, A., Ahlberg, E. & Carlsson, L., Sep 2020, Proceedings of Machine Learning Research. Gammerman, A., Vovk, V., Luo, Z., Smirnov, E. & Cherubin, G. (eds.). Vol. 128. p. 84-99 16 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  53. Published

    Conformal prediction under hypergraphical models

    Fedorova, V., Gammerman, A., Nouretdinov, I. & Vovk, V., Oct 2013, The 9th Artificial Intelligence Applications and Innovations Conference (AIAI): 2nd Workshop on Conformal Prediction and its Applications. p. 371-383 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  54. Published

    Conformal prediction with Neural Networks

    Papadopoulos, H., Vovk, V. & Gammerman, A., 2007, Proceedings of the Nineteenth IEEE International Conference on Tools with Artificial Intelligence. Vol. 2. p. 388-395 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  55. Forthcoming

    Conformal predictions for reliable machine learning: Theory and applications

    Balasubramanian, V., Ho, S-S., Panchanathan, S. & Vovk, V., 8 Aug 2011, (Accepted/In press).

    Research output: Contribution to conferenceOther

  56. Forthcoming

    Conformal predictions for reliable machine learning: Theory and applications

    Balasubramanian, V., Ho, S-S., Panchanathan, S. & Vovk, V., 2011, (Accepted/In press).

    Research output: Contribution to conferenceOther

  57. Published

    Conformal predictive decision making

    Vovk, V. & Bendtsen, C., Jun 2018, Proceedings of Machine Learning Research. Gammerman, A., Vovk, V., Luo, Z., Smirnov, E. & Peeters, R. (eds.). Vol. 91. p. 52-62 11 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  58. E-pub ahead of print

    Conformal Predictive Distributions with Kernels

    Vovk, V., Nouretdinov, I., Manokhin, V. & Gammerman, A., 23 Aug 2018, Braverman Readings in Machine Learning. Key Ideas from Inception to Current State - International Conference Commemorating the 40th Anniversary of Emmanuil Braverman’s Decease, Invited Talks. Springer-Verlag, Vol. 11100 . p. 103-121 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11100 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  59. Published

    Conformal predictors in early diagnostics of ovarian and breast cancers

    Devetyarov, D., Nouretdinov, I., Burford, B., Camuzeaux, S., Gentry-Maharaj, A., Tiss, A., Smith, C., Luo, Z., Chervonenkis, A., Hallett, R., Vovk, V., Waterfield, M., Cramer, R., Timms, J. F., Sinclair, J., Menon, U., Jacobs, I. & Gammerman, A., 2012, In : Progress in Artificial Intelligence. 1, p. 245 - 257 13 p.

    Research output: Contribution to journalArticle

  60. Published
  61. Published

    Continuous-time trading and emergence of randomness

    Vovk, V., 8 Dec 2007.

    Research output: Working paper

  62. Published

    Continuous-time trading and emergence of volatility

    Vovk, V., 10 Dec 2007.

    Research output: Working paper

  63. Published

    Continuous-time trading and the emergence of probability

    Vovk, V., 28 Apr 2009.

    Research output: Working paper

  64. Published

    Continuous-time trading and the emergence of probability

    Vovk, V., 2012, In : Finance and Stochastics. 16, 4, p. 561 - 609

    Research output: Contribution to journalArticle

  65. Published

    Continuous-time trading and the emergence of randomness

    Vovk, V., 2009, In : Stochastics: an international journal of probablitiy and stochastic processes. 81, 5, p. 455-466 12 p.

    Research output: Contribution to journalArticle

  66. Published

    Continuous-time trading and the emergence of volatility

    Vovk, V., 17 Jun 2008, In : Electronic Communications in Probability. 13, p. 319-324 6 p.

    Research output: Contribution to journalArticle

  67. Forthcoming
  68. Published

    Criteria of efficiency for conformal prediction

    Vovk, V., Fedorova, V., Nouretdinov, I. & Gammerman, A., 2014, On-line Compression Modelling Project (New Series), 19 p.

    Research output: Working paper

  69. Published

    Criteria of Efficiency for Conformal Prediction

    Vovk, V., Fedorova, V., Nouretdinov, I. & Gammerman, A., 17 Apr 2016, Conformal and Probabilistic Prediction with Applications: 5th International Symposium, COPA 2016 Madrid, Spain, April 20–22, 2016 Proceedings. Springer, Vol. 9653. p. 23-39 17 p. (Lecture Notes in Computer Science; vol. 9653).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  70. Published

    Criteria of efficiency for set-valued classification

    Vovk, V., Nouretdinov, I., Fedorova, V., Petej, I. & Gammerman, A., Oct 2017, In : Annals of Mathematics and Artificial Intelligence. 81, p. 21-46 26 p.

    Research output: Contribution to journalArticle

  71. Published

    Criterion of calibration for transductive confidence machine with limited feedback

    Nouretdinov, I. & Vovk, V., 2 Nov 2006, In : Theoretical Computer Science. 364, 1, p. 39 7 p.

    Research output: Contribution to journalArticle

  72. Published

    Criterion of calibration for transductive confidence machine with limited feedback

    Nouretdinov, I. & Vovk, V., 2003, Lecture Notes in Articial Intelligence. Vol. 2842. p. 259-267 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  73. Published

    Criterion of calibration for Transductive Confidence Machine with limited feedback

    Nouretdinov, I. & Vovk, V., Apr 2003, (On-line Compression Modelling project, http://vovk.net/kp).

    Research output: Working paper

  74. Published

    Cross-conformal predictive distributions

    Vovk, V., Nouretdinov, I., Manokhin, V. & Gammerman, A., Jun 2018, Proceedings of Machine Learning Research. Gammerman, A., Vovk, V., Luo, Z., Smirnov, E. & Peeters, R. (eds.). Vol. 91. p. 37-51 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  75. Published

    Cross-conformal predictors

    Vovk, V., 3 Aug 2012.

    Research output: Working paper

  76. Published

    Cross-conformal predictors

    Vovk, V., Jun 2015, In : Annals of Mathematics and Artificial Intelligence. 74, 1-2, p. 9-28 20 p.

    Research output: Contribution to journalArticle

  77. Published

    Data classication apparatus and method thereof

    Gammerman, A. & Vovk, V., Jul 2004, Patent No. 1129428

    Research output: Patent

  78. Published

    Defensive forecasting

    Vovk, V., Takemura, A. & Shafer, G., 30 May 2005.

    Research output: Working paper

  79. Published

    Defensive forecasting

    Vovk, V., Takemura, A. & Shafer, G., Sep 2004.

    Research output: Working paper

  80. Published

    Defensive forecasting

    Vovk, V., Takemura, A. & Shafer, G., 2005, Proceedings of the Tenth International Workshop on Articial Intelligence and Statistics. Cowell, R. & Ghahramani, Z. (eds.). p. 365-372 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  81. Published

    Defensive forecasting for linear protocols

    Vovk, V., Nouretdinov, I., Takemura, A. & Shafer, G., 2 Jun 2005.

    Research output: Working paper

  82. Published

    Defensive forecasting for linear protocols

    Vovk, V., Nouretdinov, I., Takemura, A. & Shafer, G., 2005, Proceedings of the Sixteenth International Conference on Algorithmic Learning Theory. Jain, S., Simon, H. & Tomita, E. (eds.). Berlin: Springer, Vol. 3734. p. 459-473 15 p. (Lecture Notes in Computer Science; vol. 3734).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  83. Published
  84. Published

    Defensive prediction with expert advice

    Vovk, V., 2005, Proceedings of the Sixteenth International Conference on Algorithmic Learning Theory. Jain, S., Simon, H. & Tomita, E. (eds.). Berlin: Springer, p. 444-458 15 p. (Lecture Notes in Computer Science; vol. 3734).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  85. Published

    Derandomizing stochastic prediction strategies

    Vovk, V., Jun 1999, In : Machine Learning. 35, 3, p. 247-282 36 p.

    Research output: Contribution to journalArticle

  86. Published

    Derandomizing stochastic prediction strategies

    Vovk, V., 1997, Proceedings of the Tenth Annual Conference on Computational Learning Theory. Freund, Y. & Schapire, R. (eds.). New York: ACM Press, p. 32-44 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  87. Published

    Early detection of ovarian cancer in samples pre-diagnosis using CA125 and MALDI-MS peaks

    Timms, J. F., Menon, U., Devetyarov, D., Tiss, A., Camuzeaux, S., McCurrie, K., Nouretdinov, I., Burford, B., Smith, C., Gentry-Maharaj, A., Hallett, R., Ford, J., Luo, Z., Vovk, V., Gammerman, A., Cramer, R. & Jacobs, I., Nov 2011, In : Cancer Genomics and Proteomics. 8, 6, p. 289-305

    Research output: Contribution to journalArticle

  88. Published

    Editorial: Kolmogorov complexity

    Gammerman, A. & Vovk, V., 1999, In : The Computer Journal. 42, p. 251 1 p.

    Research output: Contribution to journalEditorial

  89. Published

    Editors' introduction

    Hutter, M., Stephan, F., Vovk, V. & Zeugmann, T., 2010, Proceedings of the Twentieth International Conference on Algorithmic Learning Theory. Berlin: Springer, Vol. 6331. p. 1-10 10 p. (Lecture Notes in Articial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingForeword/postscript

  90. Published

    Efficiency of conformalized ridge regression

    Burnaev, E. & Vovk, V., 2014, Proceedings of the Twenty Seventh Annual Conference on Learning Theory: JMLR: Workshop and Conference Proceedings. Vol. 35. p. 605-622 18 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  91. Forthcoming

    E-values: Calibration, combination, and applications

    Vovk, V. & Wang, R., 17 Sep 2020, (Accepted/In press) In : The Annals of Statistics.

    Research output: Contribution to journalArticle

  92. Published

    Experiments with the K29 algorithm

    Vovk, V., 1 Sep 2004.

    Research output: Working paper

  93. Published
  94. Published

    Forecasting point and continuous processes: prequential analysis

    Vovk, V., 1993, In : Test. 2, p. 189-217 29 p.

    Research output: Contribution to journalArticle

  95. Published

    From conformal to probabilistic prediction

    Vovk, V., Petej, I. & Fedorova, V., 2014, COPA 2014 Proceedings.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  96. Published

    Game-theoretic Brownian motion

    Vovk, V., 8 Jan 2008, 17 p.

    Research output: Working paper

  97. Published
  98. Published

    Game-Theoretic Foundations for Probability and Finance

    Shafer, G. & Vovk, V., Jun 2019, Wiley. 480 p. (Wiley Series in Probability and Statistics)

    Research output: Book/ReportBook

  99. Published

    Game-Theoretic Probability

    Vovk, V., 2014, Introduction to Imprecise Probabilities. Augustin, T., Coolen, F. P. A., Cooman, G. D. & Troffaes, M. C. M. (eds.). Wiley-Interscience, p. 114-134 21 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  100. Published
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