Weak law of large numbers - Open Access .click

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Russian Economic Journal Consensus Ranking: Ideology and Experience of Making Up

Журнал институциональных исследований, 2018
The article reveals the ideology and algorithm of building a Russian economic journal consensus ranking, which combines the Muraviev’s, Sterligov’s, Balatsky-Ekimova’s and Rubinstein’s rankings of Russian economic journal.
Evgeny V. Balatsky , Natalia A. Ekimova
doaj +1 more source

Impact of Hydrogen Incorporation on Electronic and Magnetic Structure of X2CrNi18‐9 Stainless Steel

Advanced Engineering Materials, EarlyView.
Hydrogen uptake in austenitic stainless steel alters both its electronic and magnetic structure. Seebeck measurements reveal hydrogen‐induced shifts in the electronic density of states, while neutron scattering uncovers nanoscale inhomogeneities that grow upon hydrogen incorporation, with the most pronounced effect observed in the PBF as‐built state ...
Torben Tappe +9 more
wiley +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source

The strong law of large numbers: a weak-𝑙₂ view [PDF]

Proceedings of the American Mathematical Society, 1995
Let ( X k
openaire +1 more source

Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers [PDF]

IEEE Transactions on Signal Processing, 2019
For stationary signals in time the weak law of large numbers (WLLN) states that ensemble and realization averages are within e of each other with a probability of order O(1/Ne^2) when considering N signal components. The graph WLLN introduced in this paper shows that the same is essentially true for signals supported on graphs.
Fernando Gama, Alejandro Ribeiro
openaire +3 more sources

Exponential bounds for weighted sums of T-acceptable random variables

Journal of Inequalities and Applications
In this paper, we study operator valued exponential upper bounds and large deviation-type bounds for T-acceptable weighted sums. Furthermore, we investigate the weak type law of large numbers for weighted sums of non-commutative random variables.
Byoung Jin Choi
doaj +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source

Ionic Precursors Transformed Into Vinyl Acetate Synthesis Catalyst via Reaction‐Driven Restructuring

Advanced Functional Materials, EarlyView.
This work demonstrates that a simple physical mixture of Pd and Au ionic precursors, KOAc promoter, and SiO2 support can transform into a highly active vinyl acetate synthesis catalyst through reaction‐driven restructuring. The results highlight reaction‐induced restructuring as an innovative and sustainable catalyst design strategy.
Byeong Jun Cha +11 more
wiley +1 more source

Strong law of large numbers for functionals of random fields with unboundedly increasing covariances

, 2021
The paper proves the Strong Law of Large Numbers for integral functionals of random fields with unboundedly increasing covariances. The case of functional data and increasing domain asymptotics is studied.
Andrei Volodin (11166615) +2 more
core +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source

mathematics
almost sure convergence
strong law of large numbers

60f15
weighted sums