Inference for double Pareto lognormal queues with applications [PDF]
In this article we describe a method for carrying out Bayesian inference for the double Pareto lognormal (dPlN) distribution which has recently been proposed as a model for heavy-tailed phenomena. We apply our approach to inference for the dPlN/M/1 and
Lillo Rodríguez, Rosa Elvira +3 more
core +1 more source
Recent Advances in Plasma‐Enhanced Atomic Layer Etching for Next‐Generation Nanofabrication
Continued semiconductor miniaturization demands atomic‐scale patterning and ultralow surface roughness beyond the capabilities of conventional reactive ion etching. This review highlights advances in isotropic and anisotropic plasma‐enhanced atomic layer etching since 2020, covering fundamental mechanisms, applications across major semiconductor ...
Shih‐Nan Hsiao
wiley +1 more source
Lattice-Search Runtime Distributions May Be
Recent empirical studies show that runtime distributions of backtrack procedures for solving hard combinatorial problems often have intriguing properties.
Ashwin Srinivasan +1 more
core
Extreme quantile estimation for partial functional linear regression models with heavy-tailed distributions. [PDF]
Zhu H, Li Y, Liu B, Yao W, Zhang R.
europepmc +1 more source
Sample Covariance Matrices of Heavy-Tailed Distributions [PDF]
Let $p>2$, $B\geq 1$, $N\geq n$ and let $X$ be a centered $n$-dimensional random vector with the identity covariance matrix such that $\sup\limits_{a\in S^{n-1}}{\mathrm E}|\langle X,a\rangle|^p\leq B$. Further, let $X_1,X_2,\dots,X_N$ be independent copies of $X$, and $Σ_N:=\frac{1}{N}\sum_{i=1}^N X_i {X_i}^T$ be the sample covariance matrix.
openaire +2 more sources
Structural and Dynamic Properties of Lipid‐Coated Gold Nanoparticles
Atomistic molecular dynamics simulations reveal how lipid chemistry governs the behavior of coatings on the surface of a gold nanoparticle. Variations in headgroup charge and acyl‐chain saturation produce distinct monolayer‐like lipid organization, ranging from compact, ordered coatings to extended, dynamic shells. These findings establish a foundation
Kalpani A. Mirihana +4 more
wiley +1 more source
Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student?s t-Distribution [PDF]
Bayesian analysis of a stochastic volatility model with a generalized hyperbolic (GH) skew Student?s t-error distribution is described where we first consider an asymmetric heavy-tailed error and leverage effects.
Jouchi Nakajima, Yasuhiro Omori
core
Estimation of the covariance structure of heavy-tailed distributions
We propose and analyze a new estimator of the covariance matrix that admits strong theoretical guarantees under weak assumptions on the underlying distribution, such as existence of moments of only low order. While estimation of covariance matrices corresponding to sub-Gaussian distributions is well-understood, much less in known in the case of heavy ...
Xiaohan Wei, Stanislav Minsker
openaire +3 more sources
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Randomly Stopped Sums, Minima and Maxima for Heavy-Tailed and Light-Tailed Distributions
This paper investigates the randomly stopped sums, minima and maxima of heavy- and light-tailed random variables. The conditions on the primary random variables, which are independent but generally not identically distributed, and counting random ...
Remigijus Leipus +3 more
doaj +1 more source

