Results 81 to 90 of about 30,884 (295)
On the Asymptotic Behavior in Random Fields: The Central Limit Theorem
Journal of Statistical Theory and Applications (JSTA), 2019 The aim of this paper is to provide an applicable version of Central Limit Theorem for strictly stationary m-dependent random fields on a lattice. The type of sampling is considered increasing domain sampling.
Mohammad Mehdi Saber +2 more
doaj +1 more source
Central Limit Theorems For Multicolor Urns With Dominated Colors [PDF]
An urn contains balls of d >= 2 colors. At each time n >= 1, a ball is drawn and then replaced together with a random number of balls of the same color. Let An =diag (An,1, . . . ,An,d) be the n-th reinforce matrix. Assuming EAn,j = EAn,1 for all n and j,
Pietro Rigo +3 more
core
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Entropy and the discrete central limit theorem
Stochastic Processes and their Applications15 ...
Lampros Gavalakis, Ioannis Kontoyiannis
openaire +2 more sources
Advanced Electronic Materials, EarlyView.A hierarchical poly(vinyl alcohol)/polyaniline‐silver nanoparticle hydrogel is developed as a dual‐mode sensor to overcome single‐mechanism limitations. By synchronizing triboelectric and piezoresistive signals, this device differentiates between mechanical touch and environmental moisture, offering high sensitivity and real‐time signal decoupling ...
Nebiyou Tadesse Debele +2 more
wiley +1 more source
Understanding the Central Limit Theorem the Easy Way: A Simulation Experiment
Proceedings, 2018 Using a simulation approach, and with collaboration among peers, this paper is intended to improve the understanding of sampling distributions (SD) and the Central Limit Theorem (CLT) as the main concepts behind inferential statistics.
Monica E. Brussolo
doaj +1 more source
Advanced Energy Materials, EarlyView.In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Scalable probabilistic truss decomposition using central limit theorem and H-index. [PDF]
Distrib Parallel Databases, 2022 Esfahani F +4 more
europepmc +1 more source
Block Bootstrap Consistency Under Weak Assumptions [PDF]
This paper weakens the size and moment conditions needed for typical block bootstrap methods (i.e. the moving blocks, circular blocks, and stationary bootstraps) to be valid for the sample mean of Near-Epoch-Dependent functions of mixing processes; they ...
Calhoun, Gray
core
Temperature Sensitivity and Adaptation of Cereal Yields: Empirical Evidence From Italy
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT This paper investigates the evolving temperature sensitivity and climate adaptation of cereal yields in Italy from 1952 to 2023, using province‐level data for maize, common wheat, and durum wheat. Employing panel data econometric methods, we estimate yield responses to heat exposure, changes in sensitivity over time, and adaptation to climate ...
Paolo Nota +2 more
wiley +1 more source