RNDr. Michaela Prokešová, Ph.D.

RNDr. Michaela Prokešová, Ph.D. QR VCARD
LinePositionDepartmentOffice number
+420 48535 2281EmployeeKatedra matematikyG 04062

Publications

  1. M. Prokešová, J. Dvořák, E. Vedel Jensen, Two-step estimation procedures for inhomogeneous shot-noise Cox processes, ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, Springer, p. 513-542, 30 pages, ISSN: 0020-3157, n. 3, 2017
  2. J. Dvořák, M. Prokešová, Asymptotic properties of the minimum contrast estimators for projections of inhomogeneous space-time shot-noise Cox processes, Applications of Mathematics, Springer, p. 387-411, 25 pages, ISSN: 0862-7940, n. 4, 2016
  3. J. Dvořák, M. Prokešová, Parameter Estimation for Inhomogeneous Space-Time Shot-Noise Cox Point Processes, SCANDINAVIAN JOURNAL OF STATISTICS, Wiley, p. 939-961, 23 pages, ISSN: 0303-6898, n. 4, 2016
  4. V. Beneš, M. Prokešová, K. Helisová, M. Zikmundová, Space-Time Models in Stochastic Geometry, STOCHASTIC GEOMETRY, SPATIAL STATISTICS AND RANDOM FIELDS: MODELS AND ALGORITHMS, Springer, p. 204-231, 28 pages, ISSN: 0075-8434, 2015
  5. M. Prokešová, J. Dvořák, Statistics for Inhomogeneous Space-Time Shot-Noise Cox Processes, METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, Springer, p. 433-449, 17 pages, ISSN: 1387-5841, n. 2, 2014
  6. M. Prokešová, E. Vedel Jensen, Asymptotic Palm likelihood theory for stationary point processes, ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, Springer, p. 387-412, 26 pages, ISSN: 0020-3157, n. 2, 2013
  7. J. Dvořák, M. Prokešová, MOMENT ESTIMATION METHODS FOR STATIONARY SPATIAL COX PROCESSES - A COMPARISON, KYBERNETIKA, Akademie Ved CR, p. 1007-1026, 20 pages, ISSN: 0023-5954, n. 5, [Online], 2012
  8. M. Prokešová, ESTIMATORS OF THE ASYMPTOTIC VARIANCE OF STATIONARY POINT PROCESSES - A COMPARISON, KYBERNETIKA, Akademie Ved CR, p. 678-695, 17 pages, ISSN: 0023-5954, n. 5, 2011
  9. Z. Pawlas, L. Klebanov, V. Beneš, M. Prokešová, J. Popelář, P. Lánský, First-Spike Latency in the Presence of Spontaneous Activity, NEURAL COMPUTATION, MIT Press, p. 1675-1697, 23 pages, ISSN: 0899-7667, n. 7, 2010
  10. M. Prokešová, INHOMOGENEITY IN SPATIAL COX POINT PROCESSES - LOCATION DEPENDENT THINNING IS NOT THE ONLY OPTION, IMAGE ANALYSIS & STEREOLOGY, ISSIA, p. 133-141, 9 pages, ISSN: 1580-3139, n. 3, [Online], 2010
  11. L. Heinrich, M. Prokešová, On Estimating the Asymptotic Variance of Stationary Point Processes, METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, Springer, p. 451-471, 21 pages, ISSN: 1387-5841, n. 3, 2010
  12. M. Prokešová, INHOMOGENEITY IN SPATIAL POINT PROCESSES - GEOMETRY VERSUS TRACTABLE ESTIMATION, ECS10: THE10TH EUROPEAN CONGRESS OF STEREOLOGY AND IMAGE ANALYSIS, Bologna, ESCULAPIO Pub. Co., p. 310-315, 6 pages, 2009
  13. G. Hellmund, M. Prokešová, E. Vedel Jensen, LEVY-BASED COX POINT PROCESSES, ADVANCES IN APPLIED PROBABILITY, CAMBRIDGE UNIV PRESS, p. 603-629, 27 pages, ISSN: 0001-8678, n. 3, 2008
  14. A. Penttinen, M. Prokešová, G. Hellmund, A. Baddeley, E. Vedel Jensen, Discussion of ‘Modern statistics for spatial point processes‘, SCANDINAVIAN JOURNAL OF STATISTICS, Wiley, p. 685-711, 27 pages, ISSN: 0303-6898, n. 4, 2007
  15. M. Prokešová, V. Beneš, Nonlinear filtering in spatio-temporal doubly stochastic point processes driven by OU processes, KYBERNETIKA, Akademie Ved CR, p. 539-556, 18 pages, ISSN: 0023-5954, n. 5, 2006
  16. M. Prokešová, LOCALLY SCALED MODELS OF POINT PROCESSES, APLIMAT 2005 - 4TH INTERNATIONAL CONFERENCE, Bratislava, Slovak Univ Technol, p. 509-514, 6 pages, 2005
  17. V. Beneš, M. Prokešová, NONLINEAR FILTRATION IN DOUBLY STOCHASTIC POINT PROCESSES, APLIMAT 2005 - 4TH INTERNATIONAL CONFERENCE, Bratislava, Slovak Univ Technol, p. 415-420, 6 pages, 2005
  18. M. Prokešová, Bayesian MCMC estimation of the rose of directions, KYBERNETIKA, Akademie Ved CR, p. 703-717, 15 pages, ISSN: 0023-5954, n. 6, 2003