Results 91 to 100 of about 7,132,026 (272)
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
A bivariate local limit theorem
A random 2-vector in \(X\subset\mathbb{R}^{(2)}\) is said to have a stable distribution if there exist a sequence of i.i.d. vectors \(Y_ n=(Y_ n^{(1)},Y_ n^{(2)})\) and associated 2-vector sequences \(\{b_ n\}\), and \(\{a_ n\}\) with \(b_ n=\{b_ n^{(1)},b_ n^{(2)}\}\), \(a_ n=\{a_ n^{(1)},a_ n^{(2)}\}\), \(a_ n^{(i)}>0\), \(i=1,2\), with \(\{S_ n^{(1)}
openaire +2 more sources
Functional Limit Theorems for Occupation Time Fluctuations of Branching Systems in the Case of Long-Range Dependence [PDF]
Functional central limit theorem; Occupation time uctuation; Branching particle system; Distribution-valued Gaussian process; Fractional Brownian motion; Sub-fractional Brownian motion; Long-range ...
Luis G. Gorostiza +2 more
core
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Macroscaling limit theorems for filtered spatiotemporal random fields
This article addresses the problem of defining a general scaling setting in which Gaussian and non-Gaussian limit distributions of linear random fields can be obtained. The linear random fields considered are defined by the convolution of a Green kernel,
Anh, Vo +5 more
core +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Local Limit Theorem for Complex-Valued Sequences
In this article, we study the pointwise asymptotic behavior of iterated convolutions on the one-dimensional lattice Z
openaire +4 more sources
Uniform limit theorems for marked point processes [PDF]
Stochastic Processes;Limit Theorems;60G10;60F15;60G55;probability ...
Nieuwenhuis, G.
core

