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Related papers: The $\Phi_3^4$ measure has sub-Gaussian tails

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The trimmed mean of $n$ scalar random variables from a distribution $P$ is the variant of the standard sample mean where the $k$ smallest and $k$ largest values in the sample are discarded for some parameter $k$. In this paper, we look at…

Statistics Theory · Mathematics 2025-01-08 Roberto I. Oliveira , Paulo Orenstein , Zoraida F. Rico

Many measures of peakedness, heavy-tailedness and kurtosis have been proposed in the literature, mainly because kurtosis, as originally defined, is a complex combination of the other two concepts. Insight into all three concepts can be…

Statistics Theory · Mathematics 2017-02-01 R. G Staudte

This paper develops asymptotic approximations of $P(\int_Te^{f(t)}\,dt>b)$ as $b\rightarrow\infty$ for a homogeneous smooth Gaussian random field, $f$, living on a compact $d$-dimensional Jordan measurable set $T$. The integral of an…

Probability · Mathematics 2012-05-29 Jingchen Liu

We study finite measures on Bratteli diagrams invariant with respect to the tail equivalence relation. Amongst the proved results on finiteness of measure extension, we characterize the vertices of a Bratteli diagram that support an ergodic…

Dynamical Systems · Mathematics 2014-03-26 S. Bezuglyi , O. Karpel , J. Kwiatkowski

Concentration inequalities form an essential toolkit in the study of high dimensional (HD) statistical methods. Most of the relevant statistics literature in this regard is based on sub-Gaussian or sub-exponential tail assumptions. In this…

Statistics Theory · Mathematics 2023-01-09 Arun Kumar Kuchibhotla , Abhishek Chakrabortty

We study the problem of factor modelling vector- and tensor-valued time series in the presence of heavy tails in the data, which produce extreme observations with non-negligible probability. We propose to combine a two-step procedure for…

Methodology · Statistics 2025-09-08 Matteo Barigozzi , Haeran Cho , Hyeyoung Maeng

We study the lattice approximations to the dynamical $\Phi^4_3$ model by paracontrolled distributions proposed in [GIP13]. We prove that the solutions to the lattice systems converge to the solution to the dynamical $\Phi_3^4$ model in…

Probability · Mathematics 2015-08-25 Rongchan Zhu , Xiangchan Zhu

In this paper non-asymptotic moment estimates are derived for tail of distribution for discrete time polynomial martingale by means of martingale differences as a rule in the terms of unconditional and unconditional relative moments and…

Probability · Mathematics 2014-10-06 E. Ostrovsky , L. Sirota

We generalize Quasi-Linear Means by restricting to the tail of the risk distribution and show that this can be a useful quantity in risk management since it comprises in its general form the Value at Risk, the Tail Value at Risk and the…

Risk Management · Quantitative Finance 2025-10-22 Nicole Bäuerle , Tomer Shushi

The presence of non-Gaussian tails is a prevalent characteristic in many financial modeling scenarios, necessitating the use of complex non-Gaussian distributions such as the generalized beta of the second kind (GB2) and the skewed…

Applications · Statistics 2025-12-10 Xing Yan , Yue Zhao , Qi Wu , Wenxuan Ma

Adiabatic evolutions with a gap condition have, under a range of circumstances, exponentially small tails that describe the leaking out of the spectral subspace. Adiabatic evolutions without a gap condition do not seem to have this feature…

Quantum Physics · Physics 2009-10-31 J. E. Avron , A. Elgart

An explicit upper bound on the tail probabilities for the normalized Rademacher sums is given. This bound, which is best possible in a certain sense, is asymptotically equivalent to the corresponding tail probability of the standard normal…

Probability · Mathematics 2017-01-17 Iosif Pinelis

Given that a stationary Gaussian process is above a high threshold, the length of time it spends before going below that threshold is studied. The asymptotic order is determined by the smoothness of the sample paths, which in turn is a…

Probability · Mathematics 2022-08-10 Arijit Chakrabarty , Manish Pandey , Sukrit Chakraborty

We prove that the tail probabilities of sums of independent uniform random variables, up to a multiplicative constant, are dominated by the Gaussian tail with matching variance and find the sharp constant for such stochastic domination.

Probability · Mathematics 2026-03-05 Xinjie He , Tomasz Tkocz , Katarzyna Wyczesany

Lower bounds for persistence probabilities of stationary Gaussian processes in discrete time are obtained under various conditions on the spectral measure of the process. Examples are given to show that the persistence probability can decay…

Probability · Mathematics 2016-02-02 Krishna M. , Manjunath Krishnapur

We prove quasi-invariance of Gaussian measures supported on Sobolev spaces under the dynamics of the three-dimensional defocusing cubic nonlinear wave equation. As in the previous work on the two-dimensional case, we employ a simultaneous…

Probability · Mathematics 2022-07-20 Trishen S. Gunaratnam , Tadahiro Oh , Nikolay Tzvetkov , Hendrik Weber

We give asymptotics for the left and right tails of the limiting Quicksort distribution. The results agree with, but are less precise than, earlier non-rigorous results by Knessl and Spankowski.

Probability · Mathematics 2015-09-29 Svante Janson

The recently discovered fourth class of Frobenius manifolds by Combe--Manin in opened and highlighted new geometric domains to explore. The guiding mantra of this article is to show the existence of hidden geometric aspects of the fourth…

Algebraic Geometry · Mathematics 2021-07-06 N. Combe , Ph. Combe , H. Nencka

We apply Malliavin calculus to the $\Phi^4_3$ equation on the torus and prove existence of densities for the solution of the equation evaluated at regular enough test functions. We work in the framework of regularity structures and rely on…

Probability · Mathematics 2019-02-05 Paul Gassiat , Cyril Labbé

In this paper non-asymptotic exponential and moment estimates are derived for tail of distribution for discrete time martingale and martingale transform by means of martingale differences in the terms of moments and tails of distributions…

Probability · Mathematics 2012-06-22 E. Ostrovsky , L. Sirota
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