Probability Theory and Mathematical Statistics. Vol. 1
eBook - PDF

Probability Theory and Mathematical Statistics. Vol. 1

  1. 583 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Probability Theory and Mathematical Statistics. Vol. 1

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Yes, you can access Probability Theory and Mathematical Statistics. Vol. 1 by Yu. V. Prohorov, V. A. Statulevičius, V. V. Sazonov, B. Grigelionis in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2020
Print ISBN
9783112307878
eBook ISBN
9783112319000
Edition
1
Topic
Mathematics
Subtopic
Mathematics General
Index
Mathematics

Table of contents

  1. CONTENTS
  2. Preface
  3. Quantum stochastic calculus
  4. Glivenko-Cantelli convergence for weighted empirical and quantile processes of U-statistic structure
  5. On symmetry properties and nonparametric estimates of the ʋ-th order spectral density of a stationary random process
  6. Large deviations for first-passage times
  7. Quasi-average approach to the description of the limit states of the n-vector Curie-Weiss ferromagnet
  8. Inequalities at the Markov approximation of lumped processes
  9. Remarks on limit theorems for sequences of random variables with random index
  10. Continuity of local time for Markov processes with stationary independent increments
  11. Detection and diagnosis of changes in the A.R. part of an A.R.M. A. model with nonstationary unknown M. A. coefficients
  12. Nonparametric estimation of distribution functions based on incomplete data
  13. Diffusion processes on the group T <sup>∞</sup> and elliptic equations of infinitely many variables
  14. Lower estimates of the convergence rate in the CLT in Banach spaces
  15. Weak limits of probability measures on metric Schauderspaces
  16. Optimal consumption and investment in a stochastic model
  17. Large deviations from classical paths and the classical limit of quantum stochastic flows
  18. Limit theorems for multicomponent hierarchical models
  19. On limit theorems for random vectors controlled by a Markov chain
  20. Upper and lower estimates of the convergence rate in the invariance principle for empirical measures
  21. The contraction principle for C<sub>0</sub>-summing operators and SLLN for weighed sums
  22. Limit theorems for stochastic inventory models
  23. Limit theorems under weak dependence conditions
  24. Non commutative integration and probability on von Neumann algebras
  25. On optimal controls in the problem of locally absolutely continuous change of measure (compact sets of decisions)
  26. Non-uniform estimates of the remainder term in limit theorems with a stable limit law
  27. Multiple stable stochastic integrals
  28. A generalization of p-type spaces
  29. Smooth measures on infinite dimensional manifolds and forward Kolmogorov equation
  30. The structure of distributions of convex functionals
  31. Wiener germs applied to the tails of m-estimators
  32. On the asymptotic behaviour of the linear stochastic heat equation solutions
  33. Some universal donsker classes of functions
  34. Duplicates in mixed sequences and a frequency duplication principle. Methods and applications
  35. Bootstrapping empirical measures indexed by Vapnik-Chervonenkis classes of sets
  36. A remark on the Central Limit Theorem for random measures and processes
  37. Elliptic law and elements of G-analysis
  38. Mathematical aspects on the variation of air pollutant concentrations
  39. Weak solutions of the stochastic evolution and invariance principles
  40. Optimal stopping of a Markov chain with vector-valued gain function
  41. Some strong laws of large numbers in Banach spaces with regular norms
  42. Optimality in estimation for stochastic processes under both fixed and large sample conditions
  43. On urn schemes imbedded in birth processes
  44. Limiting distributions and mean-values of complex-valued multiplicative functions
  45. Asymptotically minimax testing of nonparametric hypotheses