Amanote Research

Amanote Research

    RegisterSign In

A Strong Limit Theorem for Gaussian Processes

Proceedings of the American Mathematical Society - United States
doi 10.2307/2032765
Full Text
Open PDF
Abstract

Available in full text

Categories
MathematicsApplied Mathematics
Date

June 1, 1956

Authors
Glen Baxter
Publisher

JSTOR


Related search

A Weak Limit Theorem for Generalized Jiřina Processes

Journal of Applied Probability
MathematicsStatisticsUncertaintyProbability
2009English

A Central Limit Theorem for General Stochastic Processes

Canadian Mathematical Bulletin
Mathematics
1979English

The Strong Szego Limit Theorem for Circular Arcs

Indiana University Mathematics Journal
Mathematics
1971English

A Central Limit Theorem and a Strong Mixing Condition

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
1956English

Strong Approximation and a Central Limit Theorem for St. Petersburg Sums

Stochastic Processes and their Applications
ModelingApplied MathematicsStatisticsProbabilitySimulation
2019English

A Central Limit Theorem for Stochastic Processes With Independent Increments

Studia Mathematica
Mathematics
1959English

A Class of Stationary Processes and a Central Limit Theorem

2011English

A Strong Limit Theorem for Functions of Continuous Random Variables and an Extension of the Shannon-McMillan Theorem

Journal of Applied Mathematics
Applied Mathematics
2008English

Central Limit Theorem for Diffusion Processes in an Anisotropic Random Environment

Bulletin of the Polish Academy of Sciences Mathematics
2005English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy