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PREFACE

© 1972 University of California Press, Berkeley

© 1972 University of California Press, Berkeley

Chapters in this book

  1. Frontmatter I
  2. CONTENTS OF PROCEEDINGS VOLUMES I, II, AND III V
  3. PREFACE IX
  4. CONTENTS XI
  5. William Feller and Twentieth Century Probability XV
  6. William Feller, in Memoriam XXI
  7. Alfréd Rényi, in Memoriam XXV
  8. Measure Theory
  9. Randomness and Extrapolation 1
  10. On Continuous Collections of Measures 33
  11. The Radon-Nikodým Derivative of a Correspondence 41
  12. A Counterexample on Measurable Processes 57
  13. Projective Limits of Measure Spaces 67
  14. Metric Measure Spaces of Economic Agents 81
  15. Liftings Commuting with Translations 97
  16. On a Class of Moment Problems 101
  17. Consistent Extensions of Linear Functionals and of Probability Measures 127
  18. On the Span in Lp of Sequences of Independent Random Variables 149
  19. On Poisson Laws and Related Questions 169
  20. Weak Convergence of Stochastic Processes with Several Parameters 187
  21. Inequalities
  22. Integral Inequalities for Convex Functions of Operators on Martingales 223
  23. Inequalities on the Probability Content of Convex Regions for Elliptically Contoured Distributions 241
  24. Combinatorial Analysis
  25. On the Foundations of Combinatorial Theory, VI; the Idea of Generating Function 267
  26. Ergodic Theory
  27. Strictly Ergodic Symbolic Dynamical Systems 319
  28. On Unique Ergodicity 327
  29. On the Root Problem in Ergodic Theory. 347
  30. Gaussian Processes
  31. Sets of Boundedness and Continuity for the Canonical Normal Process 357
  32. Continuity Properties of Gaussian Processes with Multidimensional Time Parameter 369
  33. Supports of Gaussian Measures 375
  34. Statistics of Conditionally Gaussian Random Sequences 389
  35. Sample Behavior of Gaussian Processes 423
  36. Growth Rate of Certain Gaussian Processes 443
  37. Central Limit Theorem
  38. Recent Results on Refinements of the Central Limit Theorem 453
  39. The Central Limit Theorem for Markov Processes 485
  40. Asymptotic Normality of Sums of Dependent Random Variables 513
  41. Limit Theorems for Sums of a Random Number of Positive Independent Random Variables 537
  42. Central Limit Theorem for Stationary Processes 551
  43. On a Bound for the Rate of Convergence in the Multidimensional Central Limit Theorem 563
  44. A Bound for the Error in the Normal Approximation to the Distribution of a Sum of Dependent Random Variables 583
  45. AUTHOR REFERENCE INDEX 603
Probability Theory
This chapter is in the book Probability Theory
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