Results 71 to 80 of about 85,479 (297)
ABSTRACT This article contributes to sustainability research by investigating the complex, geopolitically induced challenges faced by industrial supply chains under international sanctions. Using Iran's steel industry as a case, it examines sustainability barriers through the lens of stakeholder theory. A mixed methods approach was employed.
Seyed Hamed Moosavirad +2 more
wiley +1 more source
ESTIMATION FOR THE WEIBULL-GEOMETRIC DISTRIBUTION BASED ON CONSTANT PARTIALLY ACCELERATED LIFE TESTS VIA MCMC TECHNIQUE [PDF]
In this article, constant partially accelerated life tests are considered. Based on a progressive first-failure censoring scheme, the maximum likelihood and the Bayes estimates for the parameters of the Weibull-Geometric distribution as well as the ...
doaj +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
A goodness‐of‐fit test for regression models with discrete outcomes
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source
ABSTRACT Ab initio path integral Monte Carlo (PIMC) simulations constitute the gold standard for the estimation of a broad range of equilibrium properties of a host of interacting quantum many‐body systems spanning a broad range of conditions from ultracold atoms to warm dense quantum plasmas.
Paul Hamann +2 more
wiley +1 more source
Markov Chain Monte Carlo Technology [PDF]
In the past fifteen years computational statistics has been enriched by a powerful, somewhat abstract method of generating variates from a target probability distribution that is based on Markov chains whose stationary distribution is the probability ...
Chib, Siddhartha
core
Abstract Objective To assess long‐term safety of antiseizure medication (ASM) discontinuation after resolution of acute provoked neonatal seizures and prior to hospital discharge. Methods Prospective, observational, comparative effectiveness cohort study of neonates with acute provoked seizures born from July 2015 to March 2018, and followed until ...
Hannah C. Glass +16 more
wiley +1 more source
Sample caching Markov chain Monte Carlo approach to boson sampling simulation
Boson sampling is a promising candidate for quantum supremacy. It requires to sample from a complicated distribution, and is trusted to be intractable on classical computers.
Yong Liu +12 more
doaj +1 more source
To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang +3 more
wiley +1 more source
Density estimators through Zero Variance Markov Chain Monte Carlo [PDF]
A Markov Chain Monte Carlo method is proposed for the pointwise evaluation of a density whose normalizing constant is not known. This method was introduced in the physics literature by Assaraf et al (2007).
Daniele Imparato, Antonietta Mira
core

