Probability in Banach Spaces, 9

Inbunden, Engelska, 1994

Av Jorgen Hoffmann-Jorgensen, James Kuelbs, Michael B. Marcus, Michael B Marcus

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This volume includes a selection of papers by the participants of the Probability in Banach Spaces Conference held at Sanjberg, Denmark, August 16-21, 1993. The papers include recent advances in classical and modern limit theorems in Banach spaces as well as papers in which the techniques developed in this area are applied to empirical processes, spacing estimates, large deviation probabilities, measure inequalities and the study of stochastic processes. Researchers and advanced graduate students in probability, statistics, and functional analysis should find much of interest in both the theoretical concepts presented and their applications.

Produktinformation

Utgivningsdatum1994-08-01
Mått155 x 235 x 25 mm
Vikt794 g
FormatInbunden
SpråkEngelska
SerieProgress in Probability
Antal sidor431
Upplaga1994
FörlagBirkhauser Boston Inc
ISBN9780817637446

Tillhör följande kategorier

Random Series, Exponential Moments, and Martingales.- Convergence a.s. of rearranged random series in Banach space and associated inequalities.- On the Rademacher series.- On separability of families of reversed submartingales.- Sharp exponential inequalities for the Martingales in the 2-smooth Banach spaces and applications to “scalarizing” decoupling.- Strong Limit Theorems.- Random fractals generated by oscillations of processes with stationary and independent increments.- Some generalized Martingales arising from the strong law of large numbers.- Uniform ergodic theorems for dynamical systems under VC entropy conditions.- GB and GC sets in ergodic theory.- Weak Convergence.- On the central limit theorem for multiparameter stochastic processes.- Une caractérisation des espaces de Fréchet nucléaires.- A weighted central limit theorem for a function-indexed sum with random point masses.- On the rate of convergence in the CLT with respect to the Kantorovich metric.- Burgers’ topology on random point measures.- On the topological description of characteristic functionals in infinite dimensional spaces.- Large Deviations and Measure Inequalities.- Projective systems in large deviation theory II: some applications.- Some large deviation results for Gaussian measures.- A remark on the median and the expectation of convex functions of Gaussian vectors.- Comparison results for the small ball behavior of Gaussian random variables.- Some remarks on the Berg-Kesten inequality.- Gaussian Chaos and Wiener Measures.- On Girsanov type theorem for anticipative shifts.- A necessary condition for the continuity of linear functionals of Wick squares.- Multiple Wiener-Itô integral processes with sample paths in Banach function spaces.- A remark on Sudakov minoration for chaos.-Topics in Empirical Processes, Spacing Estimates, and Applications to Maximum Likelihood Theory.- On the weak Bahadur-Kiefer representation for M-estimators.- Stochastic differentiability in maximum likelihood theory.- A uniform law of large numbers for set-indexed processes with applications to empirical and partial-sum processes.- Bahadur-Kiefer approximation for spatial quantiles.- Maximum spacing estimates: a generalization and improvement on maximum likelihood estimates I.