Mgr. Michal Kupsa, Ph.D.

research associate

Michal Kupsa
Research interests: Dynamical systems, ergodic theory, point processes, probability and statistics

Publication list

Journal articles

  1. Konieczny J., Kupsa Michal, Kwietniak D.: On d-approachability, entropy density and B-free shifts, Ergodic Theory and Dynamical Systems 43 3 (2023), p. 943-970 Download Download DOI: 10.1017/etds.2021.167 [2023]
  2. Kupsa Michal: On typical encodings of multivariate ergodic sources, Kybernetika 56 6 (2020), p. 1090-1110 Download Download DOI: 10.14736/kyb-2020-6-1090 [2020]
  3. Ondreját Martin, Šimon Prokop, Kupsa Michal: Support of solutions of stochastic differential equations in exponential Besov-Orlicz spaces, Stochastic Analysis and Applications 36 6 (2018), p. 1037-1052 Download DOI: 10.1080/07362994.2018.1524304 [2018]
  4. Konieczny J., Kupsa Michal, Kwietniak D.: Arcwise connectedness of the set of ergodic measures of hereditary shifts, Proceedings of the American Mathematical Society 146 8 (2018), p. 3425-3438 Download DOI: 10.1090/proc/14029 [2018]
  5. Kupsa Michal, Starosta Š.: On the partitions with Sturmian-like refinements, Discrete and Continuous Dynamical Systems 35 8 (2015), p. 3483-3501 DOI: 10.3934/dcds.2015.35.3483 [2015]
  6. Haydn N., Kupsa Michal: Example of a Non-standard Extreme Value Law, Ergodic Theory and Dynamical Systems 35 6 (2015), p. 1902-1912 Download DOI: 10.1017/etds.2014.11 [2015]
  7. Grzegorek P., Kupsa Michal: Exponential return times in a zero-entropy process, Communications on Pure and Applied Analysis 11 3 (2012), p. 1361-1383 Download DOI: 10.3934/cpaa.2012.11.1361 [2012]
  8. Grzegorek P., Kupsa Michal: Return times in a process generated by a typical partition, Nonlinearity 22 2 (2009), p. 371-379 Download DOI: 10.1088/0951-7715/22/2/007 [2009]
  9. Kupsa Michal, Chaumoitre V.: k-limit laws of return and hitting times, Discrete and Continuous Dynamical Systems 15 1 (2006), p. 73-86 [2006]

Other publications

  1. Matúš František, Kupsa Michal: On colorings of bivariate random sequences, Information Theory Proceedings (ISIT), 2010 IEEE International Symposium, p. 1272-1276 Download DOI: 10.1109/ISIT.2010.5513700 [2010]