Ducas and Pulles in Does the Dual-Sieve Attack on Learning with Errors even Work? especially report on experiments they made comparing the distributions of scores for random targets and BDD targets. They discovered that the distribution of scores for BDD targets deviate from the predictions made under the independence heuristic. Here, we want to derive approximations for the distributions which take into account the dependency that occur in the scores. These approximations allow to find heuristic estimates for the success probability of distinguishing between the two distributions
International audienceIn this communication, an overview on extreme quantiles estimation for Weibull...
In this paper, we consider a robust version of multiple-set linear canonical analysis obtained by us...
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Chernoff bounds are a powerful application of the Markov inequality to produce strong bounds on the ...
For arbitrary β > 0, we use the orthogonal polynomials techniques developed in (Killip and Nenciu in...
International audienceIn this communication, an overview on extreme quantiles estimation for Weibull...
In this paper, we consider a robust version of multiple-set linear canonical analysis obtained by us...
The estimation for distribution of the norms of strictly sub-Gaussian random processes in the space ...
We address the distribution regression problem: we regress from probability measures to Hilbert-spac...
Testing for the significance of a subset of regression coefficients in a linear model, a staple of s...
In this note, we present a complete analytic calculation of variance-based sensitivity indices using...
We study a linear index binary response model with random coefficients BB allowed to be correlated w...
Comparative effectiveness evidence from randomized trials may not be directly generalizable to a tar...
We derive sharp probability bounds on the tails of a product of symmetric non-negative random variab...
Many domains of science have developed complex simulations to describe phenomena of interest. While ...
The COVID-19 pandemic has affected all countries in the world and brings a major disruption in our d...
AbstractIn this paper, we study the problem of nonparametric estimation of the mean and variance fun...
AbstractAsymptotic expansions of the distributions of the pivotal statistics involving log-likelihoo...
Chernoff bounds are a powerful application of the Markov inequality to produce strong bounds on the ...
For arbitrary β > 0, we use the orthogonal polynomials techniques developed in (Killip and Nenciu in...
International audienceIn this communication, an overview on extreme quantiles estimation for Weibull...
In this paper, we consider a robust version of multiple-set linear canonical analysis obtained by us...
The estimation for distribution of the norms of strictly sub-Gaussian random processes in the space ...