Results 171 to 180 of about 213,445 (314)

Trump Tariffs 2.0: Assessing the Impacts on US Distilled Spirits Imports

Agribusiness, EarlyView.
ABSTRACT The proposed 25% tariff on Mexico and Canada could have significant repercussions on US imports of distilled spirits. This study estimates US import demand across various spirit categories (e.g., tequila, whiskey) and assesses the potential impact of the proposed tariff.
Andrew Muhammad
wiley   +1 more source

Density estimators through Zero Variance Markov Chain Monte Carlo [PDF]

A Markov Chain Monte Carlo method is proposed for the pointwise evaluation of a density whose normalizing constant is not known. This method was introduced in the physics literature by Assaraf et al (2007).
Daniele Imparato, Antonietta Mira
core  

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
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

Data-driven prediction of micro-piled raft load-settlement using machine learning and Monte Carlo simulation. [PDF]

Sci Rep
El Gendy M.
europepmc   +1 more source

SigmaFormer: Augmenting transformer encoders with COSMO sigma profiles for pure component property prediction

AIChE Journal, EarlyView.
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim, Silabrata Pahari, Joseph Sang‐Il Kwon   +2 more
wiley   +1 more source

Heavy Metal Pollution and Risk Assessment of Sediments in Liuye Lake Based on Monte Carlo Simulation. [PDF]

Toxics
Li G, Xu Z, Zheng J, Xie Y, Li L, Peng Y, Luo K, Liu Y.   +7 more
europepmc   +1 more source

Efficient simulation of gamma and variance-gamma processes

, 2004
We study algorithms for sampling discrete-time paths of a gamma process and a variance gamma process, defined as a Brownian process with random time change obeying a gamma process.
Avramidis, Athanassios.N., Tremblay, Pierre-Alexandre, L'Ecuyer, Pierre   +2 more
core  

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Operating characteristics of agreement metrics in AI-based scoring: a Monte Carlo simulation. [PDF]

Front Psychol
Yandi A.
europepmc   +1 more source

Regression-Based Methods for Using Control and Antithetic Variates in Monte Carlo Experiments [PDF]

Methods based on linear regression provide a very easy way to use the information in control and antithetic variates to improve the efficiency with which certain features of the distributions of estimators and test statistics are estimated in Monte Carlo
Russell Davidson, James G. Mackinnon
core