Results 41 to 50 of about 430,483 (293)
Non-Gaussian Geostatistical Modeling using (skew) t Processes [PDF]
, 2019 We propose a new model for regression and dependence analysis when addressing spatial data with possibly heavy tails and an asymmetric marginal distribution.
Bevilacqua, M. +3 more
core +2 more sources
Advanced Engineering Materials, EarlyView.This study investigates laser‐based oxide removal of Cu inserts in oxygen‐free conditions and examines long‐term oxidation kinetics and surface chemistry under different atmospheres via X‐ray photoelectron spectroscopy. Al–Cu compound casting with differently oxidized surfaces is performed, and intermetallic phase formation, morphology, and thermal ...
Timon Steinhoff +9 more
wiley +1 more source
Properties of the entropic risk measure EVaR in relation to selected distributions
Modern Stochastics: Theory and ApplicationsEntropic Value-at-Risk (EVaR) measure is a convenient coherent risk measure. Due to certain difficulties in finding its analytical representation, it was previously calculated explicitly only for the normal distribution.
Yuliya Mishura +3 more
doaj +1 more source
Austrian Journal of Statistics, 2016 Recently, a generalization of the Pearson differential equation has appeared in the literature, from which a vast majority of continuous probability density functions (pdf’s) can be generated, known as the generalized Pearson system of continuous ...
Mohammad Shakil +2 more
doaj +1 more source
Dimension-Independent MCMC Sampling for Inverse Problems with Non-Gaussian Priors [PDF]
, 2014 The computational complexity of MCMC methods for the exploration of complex probability measures is a challenging and important problem. A challenge of particular importance arises in Bayesian inverse problems where the target distribution may be ...
Vollmer, Sebastian J.
core
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models
, 2017 The problem of low rank matrix completion is considered in this paper. To exploit the underlying low-rank structure of the data matrix, we propose a hierarchical Gaussian prior model, where columns of the low-rank matrix are assumed to follow a Gaussian ...
Duan, Huiping +4 more
core +1 more source
A Stein characterisation of the generalized hyperbolic distribution [PDF]
, 2017 The generalized hyperbolic (GH) distributions form a five parameter family of probability distributions that includes many standard distributions as special or limiting cases, such as the generalized inverse Gaussian distribution, Student's $t ...
Barbour +27 more
core +3 more sources
Statistical Properties of Inverse Gaussian Distributions. II [PDF]
The Annals of Mathematical Statistics, 1957 Given a fixed number $n$ of observations on a variate $x$ which has the Inverse Gaussian probability density function $$\exp\big\{-\frac{\phi^2x}{2\lambda} + \phi - \frac{\lambda}{2x}\big\} \sqrt{\frac{\lambda}{2\pi x^3}},\quad 0 < x < \infty$$, for which $E(x) = \lambda/\phi = \mu$, it is shown how to find functions of the sample mean $m$ whose ...
openaire +4 more sources
Advanced Engineering Materials, EarlyView.This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat +7 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This paper presents a novel approach to reducing oxide layers on metal powders using low‐temperature hydrogen dielectric barrier discharge plasmas at atmospheric pressure. Unlike conventional hydrogen‐plasma reductions, the powders do not contact the plasma directly.
Shukang Zhang +3 more
wiley +1 more source