Results 131 to 140 of about 174,249,668 (304)
On the Jajte strong law of large numbers
For a sequence of independent and identically distributed random variables, Jajte (2003) established a strong law of large numbers for weighted sums of the random variables. In this paper, we generalize the result of Jajte (2003).
Sung, Soo Hak, Chen, Pingyan
core
MathematicsWe study strong laws of large numbers in a non-linear framework based on conditional sub-additive expectations and conditional sub-additive capacities. Using an axiomatic approach to conditional sub-additive expectation, we establish a conditional Hájek ...
Nyanga Honda Masasila, István Fazekas
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
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
Weak law of large numbers for arrays
A general weak law of large numbers for arrays is proved under mild conditions.Arrays Weak law of large numbers Convergence in probability Sums of random variables Martingale difference ...
Sung, Soo Hak
core
The law of thin processes: A law of large numbers for point processes [PDF]
If you take a superposition of n IID copies of a point process and thin that by a factor of 1 / n , then the resulting process tends to a Poisson process as n → ∞ .
Aldridge, M.
core +1 more source
Advanced Functional Materials, EarlyView.An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
A STRONG LAW OF LARGE NUMBERS FOR MARTINGALES
, 2010 [[abstract]]We derive a moment inequality for the Skorohod representation theorem and apply it to obtain a strong law of large numbers for martingales[[fileno]]2010218010002[[department ...
SHEU, SS;YAO, YS
core
A strong law of large numbers for martingales
, 1984 We derive a moment inequality for the Skorohod representation theorem and apply it to obtain a strong law of large numbers for martingales.
Yu Shan Yao, Shey Shiung Sheu
core +1 more source
Novel Evaluation Techniques for Outlier Detection Methods: A Case Study With RCOD
IEEE AccessOutlier detection remains a key challenge in data analysis, with applications spanning cybersecurity, finance, medicine, and more. This paper introduces a comprehensive evaluation framework for comparing outlier detection methods, using the Random ...
Adam Kiersztyn +3 more
doaj +1 more source