Add to ORKGIf a random variable is not exponentially integrable, it is known that no concentration inequality holds for an infinite sequence of independent copies. Under mild conditions, we establish concentration inequalities for finite sequences of $n$ independent copies, with good dependence in $n$
Götze F, Sambale H, Sinulis A. Concentration Inequalities for Bounded Functionals via Log-Sobolev-Ty...
Concentration inequalities are fundamental tools in probabilistic combinatorics and theoretical comp...
AbstractFor a sequence of independent and identically distributed random variables (r.v.) valued in ...
If a random variable is not exponentially integrable, it is known that no concentration inequality h...
If a random variable is not exponentially integrable, it is known that no concentration inequality h...
If a random variable is not exponentially integrable, it is known that no concentration inequality h...
If a random variable is not exponentially integrable, it is known that no concentration inequality h...
If a random variable is not exponentially integrable, it is known that no concentration inequality h...
We obtain concentration and large deviation for the sums of independent and identically distributed ...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
Götze F, Sambale H, Sinulis A. Concentration Inequalities for Bounded Functionals via Log-Sobolev-Ty...
Concentration inequalities are fundamental tools in probabilistic combinatorics and theoretical comp...
AbstractFor a sequence of independent and identically distributed random variables (r.v.) valued in ...
If a random variable is not exponentially integrable, it is known that no concentration inequality h...
If a random variable is not exponentially integrable, it is known that no concentration inequality h...
If a random variable is not exponentially integrable, it is known that no concentration inequality h...
If a random variable is not exponentially integrable, it is known that no concentration inequality h...
If a random variable is not exponentially integrable, it is known that no concentration inequality h...
We obtain concentration and large deviation for the sums of independent and identically distributed ...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
International audienceFor dynamical systems modeled by a Young tower with exponential tails, we prov...
Götze F, Sambale H, Sinulis A. Concentration Inequalities for Bounded Functionals via Log-Sobolev-Ty...
Concentration inequalities are fundamental tools in probabilistic combinatorics and theoretical comp...
AbstractFor a sequence of independent and identically distributed random variables (r.v.) valued in ...