Results 121 to 130 of about 30,884 (295)
Risk, uncertainty and nonlinear central limit theorems
Risk SciencesThe econometric theory and methods of financial risk are critical technical issues that consistently concern both the economic and mathematical communities.
Zengjing Chen, Xinwei Feng, Hanchao Wang
doaj +1 more source
Limit theorems for multipower variation in the presence of jumps [PDF]
In this paper we provide a systematic study of the robustness of probability limits and central limit theory for realised multipower variation when we add finite activity and infinite activity jump processes to an underlying Brownian semimartingale ...
Matthias Winkel +2 more
core
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Skorohod Representation Theorem Via Disintegrations [PDF]
Let (µn : n >= 0) be Borel probabilities on a metric space S such that µn -> µ0 weakly. Say that Skorohod representation holds if, on some probability space, there are S-valued random variables Xn satisfying Xn - µn for all n and Xn -> X0 in probability.
Pietro Rigo +2 more
core
A central limit theorem for random fields [PDF]
, 2004 A central limit theorem is proved for α-mixing random fields. The sets of locations where the random field is observed become more and more dense in an increasing sequence of domains. The central limit theorem concerns these observations.
Fazekas, István +3 more
core
Advanced Intelligent Systems, EarlyView.This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
The Emergence of the Normal Distribution in Deterministic Chaotic Maps
EntropyThe central limit theorem states that, in the limits of a large number of terms, an appropriately scaled sum of independent random variables yields another random variable whose probability distribution tends to attain a stable distribution.
Damián H. Zanette, Inés Samengo
doaj +1 more source
Generalized mean p-values for combining dependent tests: comparison of generalized central limit theorem and robust risk analysis. [PDF]
Wellcome Open Res, 2020 Wilson DJ.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley +1 more source
Geometric Nonuniformity Localizes Valence Orbitals in Gold Clusters: Case Study on [Au23(SC6H11)16]–
Angewandte Chemie, EarlyView.The electronic structure of [Au23(SC6H11)16]–, a monolayer‐protected gold cluster with a nonuniform Au13 core, was investigated. Anion photoelectron spectroscopy and density functional theory calculations revealed that the highest occupied molecular orbital (HOMO) and HOMO‐1 are localized on the two triangular Au3 units at the ends of the Au13 core ...
Yosuke Asami +3 more
wiley +2 more sources