Results 91 to 100 of about 56,994 (264)
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 +3 more
wiley +1 more source
Quantile Regression Learning with Coefficient Dependent lq-Regularizer
MATEC Web of Conferences, 2018 In this paper, We focus on conditional quantile regression learning algorithms based on the pinball loss and lq-regularizer with 1≤q≤2. Our main goal is to study the consistency of this kind of regularized quantile regression learning. With concentration
Sun Pengju, Li Meng, Sun Hongwei
doaj +1 more source
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 +2 more
wiley +1 more source
Stress Testing German Industry Sectors: Results from a Vine Copula Based Quantile Regression
Risks, 2017 Measuring interdependence between probabilities of default (PDs) in different industry sectors of an economy plays a crucial role in financial stress testing. Thereby, regression approaches may be employed to model the impact of stressed industry sectors
Matthias Fischer +3 more
doaj +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
Journal of the Operations Research Society of Japan, 1991 Summary: This study proposes a new use of goal programming for empirically estimating a regression quantile hyperplane. The approach can yield regression quantile estimates that are less sensitive to not only non- Gaussian error distributions but also a small sample size than conventional regression quantile methods.
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
Interpretation and Semiparametric Efficiency in Quantile Regression under Misspecification
Econometrics, 2015 Allowing for misspecification in the linear conditional quantile function, this paper provides a new interpretation and the semiparametric efficiency bound for the quantile regression parameter β (
Ying-Ying Lee
doaj +1 more source
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 +6 more
wiley +1 more source
Corrigendum: Modified quantile regression for modeling the low birth weight
Frontiers in Applied Mathematics and Statistics, 2023 Ferra Yanuar +2 more
doaj +1 more source