Results 71 to 80 of about 129,468 (185)

Affine Invariant Covariance Estimation for Heavy-Tailed Distributions [PDF]

open access: yes, 2019
In this work we provide an estimator for the covariance matrix of a heavy-tailed multivariate distributionWe prove that the proposed estimator $\widehat{\mathbf{S}}$ admits an \textit{affine-invariant} bound of the form \[(1-\varepsilon) \mathbf{S ...
Ostrovskii, Dmitrii, Rudi, Alessandro
core   +3 more sources

Scalar correlators near the 3-flavor thermal critical point

open access: yes, 2015
We investigate screening masses at both sides of the first order finite temperature transition with 3 quark flavors using the nonperturbatively improved clover fermion action and the Iwasaki gauge action.
Jin, Xiao-Yong   +4 more
core   +1 more source

User-Friendly Covariance Estimation for Heavy-Tailed Distributions [PDF]

open access: yes, 2019
We offer a survey of recent results on covariance estimation for heavy-tailed distributions. By unifying ideas scattered in the literature, we propose user-friendly methods that facilitate practical implementation. Specifically, we introduce element-wise
Ke, Yuan   +4 more
core   +1 more source

Optimal receiver and blind demodulation performance bounds for single channel co-frequency mixed signals

open access: yesTongxin xuebao
Aiming at the problem of optimal detection of mixed signal symbol sequences, on the basis of co-frequency mixed receiving baseband signal model, sufficient statistics for joint maximum likelihood blind detection were derived, and the optimal receiver ...
YU Hongyi   +4 more
doaj  

Comparative Analysis of Natural Language Processing Techniques in the Classification of Press Articles

open access: yesApplied Sciences
The study undertook a comprehensive review and comparative analysis of natural language processing techniques for news article classification, with a particular focus on Java language libraries.
Kacper Piasta, RafaƂ Kotas
doaj   +1 more source

Nonlinear Statistical Learning with Truncated Gaussian Graphical Models

open access: yes, 2016
We introduce the truncated Gaussian graphical model (TGGM) as a novel framework for designing statistical models for nonlinear learning. A TGGM is a Gaussian graphical model (GGM) with a subset of variables truncated to be nonnegative. The truncated variables are assumed latent and integrated out to induce a marginal model.
Su, Qinliang   +3 more
openaire   +2 more sources

Truncated Levy statistics for transport in disordered semiconductors

open access: yes, 2010
Probabilistic interpretation of transition from the dispersive transport regime to the quasi-Gaussian one in disordered semiconductors is given in terms of truncated Levy distributions. Corresponding transport equations with fractional order derivatives are derived.
Sibatov, Renat T., Uchaikin, Vladimir V.
openaire   +2 more sources

Multivariate spatial conditional quantiles on hyperspheres in the presence of measurement error

open access: yesResults in Applied Mathematics
Quantiles constitute a fundamental construct in probability theory and mathematical statistics, serving as an indispensable tool across a wide spectrum of applications.
Nourelhouda Taachouche, Salim Bouzebda
doaj   +1 more source

Extreme value statistics for truncated Pareto-type distributions

open access: yes, 2014
Recently attention has been drawn to practical problems with the use of unbounded Pareto distributions, for instance when there are natural upper bounds that truncate the probability tail. Aban, Meerschaert and Panorska (2006) derived the maximum likelihood estimator for the Pareto tail index of a truncated Pareto distribution with a right truncation ...
Beirlant, Jan   +3 more
openaire   +2 more sources

Statistical Query Lower Bounds for Learning Truncated Gaussians

open access: yes, 2023
We study the problem of estimating the mean of an identity covariance Gaussian in the truncated setting, in the regime when the truncation set comes from a low-complexity family $\mathcal{C}$ of sets. Specifically, for a fixed but unknown truncation set $S \subseteq \mathbb{R}^d$, we are given access to samples from the distribution $\mathcal{N ...
Diakonikolas, Ilias   +3 more
openaire   +2 more sources

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