Amanote Research

Amanote Research

    RegisterSign In

Concentration Inequalities, Counting Processes and Adaptive Statistics

ESAIM: Proceedings
doi 10.1051/proc/201444004
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2014

Authors
Patricia Reynaud-Bouret
Publisher

EDP Sciences


Related search

About the Rate Function in Concentration Inequalities for Suprema of Bounded Empirical Processes

Stochastic Processes and their Applications
ModelingApplied MathematicsStatisticsProbabilitySimulation
2019English

Full-Counting Statistics of Time-Dependent Conductors

Physical Review B
OpticalElectronicCondensed Matter PhysicsMagnetic Materials
2016English

Time Intervals and Counting in Point Processes

IEEE Transactions on Information Theory
Computer Science ApplicationsInformation SystemsLibraryInformation Sciences
2004English

Agar Concentration in Counting Clostridium Colonies1

Applied Microbiology
1967English

Full Counting Statistics of a Superconducting Beam Splitter

Physical Review Letters
AstronomyPhysics
2002English

Nonequilibrium Fluctuations, Fluctuation Theorems, and Counting Statistics in Quantum Systems

Reviews of Modern Physics
AstronomyPhysics
2009English

Leveraging Belief Propagation, Backtrack Search, and Statistics for Model Counting

English

Dynamical Scheme for Interferometric Measurements of Full-Counting Statistics

Physical Review Letters
AstronomyPhysics
2016English

Heat Kernels, Stochastic Processes and Functional Inequalities

Oberwolfach Reports
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy