Conditional large and moderate deviations for sums of discrete random variables. Combinatoric applications

DOI10.3150/11-BEJ376zbMath1259.60030arXiv0707.1461MaRDI QIDQ1932233

Fabrice Gamboa, Thierry Klein, Clémentine Prieur

Publication date: 17 January 2013

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0707.1461

zbMATH Keywords

conditional distributionlarge and moderate deviation principlescombinatoric problems

Mathematics Subject Classification ID

Large deviations (60F10)

Related Items (1)

Deviation results for sparse tables in hashing with linear probing

Uses Software

• bootstrap

Cites Work

• Sanov property, generalized I-projection and a conditional limit theorem
• On approximating probabilities for small and large deviations in \(R^{d1}\)
• Two conditional limit theorems with applications
• On the analysis of linear probing hashing
• Logarithmic combinatorial structures: A probabilistic approach
• Self-normalized Cramér-type large deviations for independent random variables.
• Bins and balls: Large deviations of the empirical occupancy process
• Moment convergence in conditional limit theorems
• Asymptotic distribution for the cost of linear probing hashing
• Maximum entropy and conditional probability
• Convex Analysis
• The Characteristic Function of a Conditional Statistic
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