Results 111 to 120 of about 73,349 (260)

Functional quantile principal component analysis

Biostatistics
Summary This paper introduces functional quantile principal component analysis (FQPCA), a dimensionality reduction technique that extends the concept of functional principal components analysis (FPCA) to the examination of participant-specific quantiles curves.
Méndez-Civieta, Álvaro, Wei, Ying, Diaz, Keith M., Goldsmith, Jeff   +3 more
openaire   +2 more sources

Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao, Simon Meister, Lucie Maruejols, Xiaohua Yu   +3 more
wiley   +1 more source

Can outsourcing pest and disease control help reduce pesticide expenditure? Evidence from rice farmers

Agribusiness, EarlyView.
Abstract Outsourcing pest and disease control (PDC) has grown rapidly worldwide, especially in developing countries. Although numerous studies have investigated various advantages of outsourcing PDC, little is known about its impact on pesticide expenditure.
Pengcheng Wang, Wanglin Ma, Mengling Diao   +2 more
wiley   +1 more source

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

Agribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Comparing Estimation Methods for the Power–Pareto Distribution

Econometrics
Non-negative distributions are important tools in various fields. Given the importance of achieving a good fit, the literature offers hundreds of different models, from the very simple to the highly flexible.
Frederico Caeiro, Mina Norouzirad
doaj   +1 more source

Functional Response Quantile Regression Model

Statistica Sinica
Summary: We propose a new functional response quantile regression model, and develop a data-driven estimation procedure to estimate the quantile regression processes based on a local linear approximation. Theoretically, we obtain the global uniform Bahadur representation of the estimator with respect to the time/location and the quantile level, and ...
Zhou, Xingcai, Kong, Dehan, Kashlak, A. B., Kong, Linglong, Karunamuni, R., Zhu, Hongtu   +5 more
openaire   +2 more sources

Assessing the Impact of Promotions on Consumer Purchasing Behavior During Crises

Agribusiness, EarlyView.
ABSTRACT Understanding how households modify their food expenditure decisions during times of crisis is essential because consumer purchasing behavior frequently changes during these times. This study looks at these behavioral shifts during the COVID‐19 pandemic, concentrating on how price sensitivity and response to sales promotions changed over the ...
Wafa Mehaba, José María Gil
wiley   +1 more source

Beyond the Fixed Charge: A New On‐Tissue Derivatisation Strategy Employing Photoionisable Chromophores for Mass Spectrometry Imaging of Amino‐Containing Metabolites

Angewandte Chemie, EarlyView.
We introduce a novel chemical derivatisation strategy for the UV‐activated detection of elusive metabolites. Incorporation of a tocopherol‐active chromophore allows for the detection of tagged analytes as photoionised radical cations, selectively induced by a 266 nm laser.
Sofia R. McGowan, Andrew J. Tague, Ashna A. Kumar, Marie Ranson, Christopher J. T. Hyland, Shane R. Ellis   +5 more
wiley   +2 more sources

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

Advanced Intelligent Discovery, EarlyView.
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer, André Orth, Robert Wang, Ben Breitung, Simon Schweidler, Jasmin Aghassi‐Hagmann, Markus Reischl   +6 more
wiley   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source