All Stories

  1. Mathematical Statistics and Limit Theorems
  2. Asymptotic properties of absolutely continuous functions and strong laws of large numbers for renewal processes
  3. Functional data analysis with increasing number of projections
  4. Equivalent monotone versions of PRV functions
  5. Robust monitoring of CAPM portfolio betas
  6. Delay time in monitoring jump changes in linear models
  7. Limit theorems for record counts and times in the F α -scheme
  8. On the reaction time of moving sum detectors
  9. Convergence rates in precise asymptotics
  10. Testing the Equality of Covariance Operators in Functional Samples
  11. Precise asymptotics – A general approach
  12. SEQUENTIAL TESTING FOR THE STABILITY OF HIGH-FREQUENCY PORTFOLIO BETAS
  13. Sequential testing of gradual changes in the drift of a stochastic process
  14. On the convergence of positive increasing functions to infinity
  15. Asymptotics for increments of stopped renewal processes
  16. A note on the monitoring of changes in linear models with dependent errors
  17. An inequality for the Lévy distance between two distribution functions and its applications
  18. Truncated sequential change-point detection based on renewal counting processes II
  19. On the detection of changes in autoregressive time series, II. Resampling procedures
  20. Monitoring risk in a ruin model perturbed by diffusion
  21. On the Performance of the Fluctuation Test for Structural Change
  22. On Probabilities of Small Deviations for Compound Renewal Processes
  23. On some properties of asymptotic quasi-inverse functions
  24. Rescaled range analysis in the presence of stochastic trend
  25. On sequential detection of parameter changes in linear regression
  26. On the detection of changes in autoregressive time series I. Asymptotics
  27. On Vervaat and Vervaat-error-type processes for partial sums and renewals
  28. Monitoring shifts in mean: Asymptotic normality of stopping times
  29. О вероятностях малых уклонений обобщенных процессов восстановления
  30. On a semiparametric regression model whose errors form a linear process with negatively associated innovations
  31. Law of the iterated logarithm for self-normalized sums and their increments
  32. Permutation principles for the change analysis of stochastic processes under strong invariance
  33. Self-Normalized LIL for Hanson–Russo Type Increments
  34. Estimation in Random Coefficient Autoregressive Models
  35. On some extensions of Karamata’s theory and their applications
  36. A two-step sequential procedure for detecting an epidemic change
  37. Nonlinear wavelet density and hazard rate estimation for censored data under dependent observations
  38. EWMA Charts for Detecting a Change-Point in the Drift of a Stochastic Process
  39. Monitoring changes in linear models
  40. Applications of permutations to the simulations of critical values
  41. On factorization representations for Avakumović--Karamata functions with nondegenerate groups of regular points
  42. Truncated Sequential Change‐point Detection based on Renewal Counting Processes
  43. A note on estimating the change-point of a gradually changing stochastic process
  44. ASYMPTOTIC TESTS FOR GRADUAL CHANGES
  45. Variance estimation in the change analysis of a linear regression model
  46. On the Maximal Excursion Over Increasing Runs
  47. Testing for changes in the mean or variance of a stochastic process under weak invariance
  48. Strong laws for the maximal gain over increasing runs
  49. Limit theorems for a class of tests of gradual changes
  50. Approximations for weighted bootstrap processes with an application
  51. On the best approximation for bootstrapped empirical processes
  52. Testing for Changes in Multivariate Dependent Observations with an Application to Temperature Changes
  53. On a conjecture of Révész and its analogue for renewal processes
  54. Equivalences in strong limit theorems for renewal counting processes
  55. Detecting changes in a multivariate renewal process
  56. Extreme Value Asymptotics for Multivariate Renewal Processes
  57. ON LEAST SQUARES ESTIMATES OF AN EXPONENTIAL TAIL COEFFICIENT
  58. Estimating the adjustment coefficient in an ARMA(p, q) risk model
  59. Variance Estimation Based on Invariance Principles
  60. On extreme value asymptotics for increments of renewal processes
  61. A geometric approach to finite sample and large deviation properties in two-way ANOVA with spherically distributed error vectors
  62. Change Point and Jump Estimates in an AMOC Renewal Model
  63. On a weighted embedding for pontograms
  64. Note on the strong limiting behaviour of busy periods in GI/G/1 queues under heavy traffic
  65. On the limiting behavior of the Bahadur—Kiefer statistic for partial sums and renewal processes when the fourth moment does not exist
  66. Strong Laws for Small Increments of Renewal Processes
  67. On the estimation of the adjustment coefficient in risk theory via intermediate order statistics
  68. On Some alternative estimates of the adjustment coefficient in risk theory
  69. Invariance principles in queueing theory
  70. Invariance principles in queueing theory
  71. Sharp Rates for Increments of Renewal Processes
  72. Limit laws for the modulus of continuity of the partial sum process and for the shepp statistic
  73. Invariance principles for renewal processes when only moments of low order exist
  74. On the optimality of strong approximation rates for compound renewal processes
  75. Limit Theorems for Lag Processes
  76. Almost Sure Convergence of Delayed Renewal Processes
  77. Invariance Principles for Renewal Processes
  78. Exact convergence rates in strong approximation laws for large increments of partial sums
  79. On the Distribution of the Suprema of Weighted Empirical Processes
  80. NOTE ON A LIMIT THEOREM FOR CHARACTERISTIC FUNCTIONS
  81. On Improved Versions of General Erdös-Rényi Laws and Large Deviation Asymptotics
  82. Exact convergence rate of an Erdös-Rényi strong law for moving quantiles
  83. Improved Erdos-Renyi and Strong Approximation Laws for Increments of Renewal Processes
  84. SOME REMARKS ON STRONG APPROXIMATIONS AND THE HANSON-RUSSO LAW OF LARGE NUMBERS
  85. On an improved Erdő‐Rényi‐type law for increments of partial sums
  86. ON A RESULT OF GLICK IN SAMPLE-BASED MULTINOMIAL CLASSIFICATION
  87. On the increments of partial sum processes with multidimensional indices
  88. Improved Erdos-Renyi and Strong Approximation Laws for Increments of Partial Sums
  89. The stochastic geyser problem for first-passage times
  90. The stochastic geyser problem for first-passage times
  91. On general versions of Erd?s-R�nyi laws
  92. Convergence Rates of Large Deviation Probabilities in the Multidimensional Case
  93. A strong law of Erdös-Rényi type for cumulative processes in renewal theory
  94. On a necessary conditon for the Erdős-Rényi law of large numbers
  95. On a Necessary Condition for the Erdos-Renyi Law of Large Numbers
  96. Exponential convergence properties of linear estimators under exponential and uniform distribution
  97. A genearalization of a result of chernoff in large sample theory
  98. A theorem about probabilities of large deviations with an application to queuing theory