Results 131 to 140 of about 5,037 (306)

Leveraging Machine Learning to Predict Food Waste Quantity: Focusing on Military Dining Facilities as Large‐Scale Food Service Operations

Journal of Forecasting, EarlyView.
ABSTRACT Food waste reveals inefficiencies in resource use and contributes significantly to environmental pollution. In the United States, food waste accounts for the majority of total waste, with more than 50 million tons generated annually. In military units that operate large‐scale institutional food‐service facilities and generate significant food ...
YongSun Kim, Hyun Shik Yoon
wiley   +1 more source

Estimating the Potential Value of Variable Rate Nitrogen Applications: A Comparison of Spatial Econometric and Geostatistical Models

, 2005
Terrance M. Hurley, Kikuo Oishi, G. L. Malzer, Hurley, Terrance M., Oishi, Kikuo, Malzer, Gary L.   +5 more
openalex   +2 more sources

Exploring the Nexus Between Sustainability Index and Central European Stock Markets Competitiveness: Evidence Through Time–Frequency Analysis and SHAP

Journal of Forecasting, EarlyView.
ABSTRACT Sustainability has become an important factor shaping financial markets and investor behavior. This paper examines the relationship between sustainability indices and Central European stock markets using a time–frequency approach. Wavelet coherence is employed to capture time‐varying co‐movements between sustainability indices and stock market
Zuzana Janková, Dipak Kumar Jana, Michal Páleš, Elena Fleaca, Petr Dostál   +4 more
wiley   +1 more source

Factors influencing German and Italian farmland prices – a spatial econometric analysis

, 2017
Friederike Menzel, Alessandro Ghidoni, Ivan De Noni, Enno Bahrs, Stefano Corsi   +4 more
openalex   +2 more sources

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source

A Comprehensive Review on the Significance, Sources, and Applications of Virtual Water on Global Platform

Food Safety and Health, EarlyView.
A conceptual framework of virtual water showing its sources, major applications, components of the virtual water footprint, and emerging future directions. The diagram emphasizes the growing role of virtual water in global sustainability and resource planning.
Priti Bhowmik, Charu Rajpal, Vinay Kumar Pandey   +2 more
wiley   +1 more source

Optimizing microgrid operations with consideration of energy conservation and emission reduction benefits in spatial econometrics. [PDF]

Sci Rep
Zhao B, Guan X, Tao X, Bai Z, Gao S.
europepmc   +1 more source

The Role of Price‐Volatility Cojumps in Volatility Forecasting

Journal of Futures Markets, EarlyView.
ABSTRACT This paper investigates whether simultaneous jumps in prices and volatility improve volatility forecasting. Using up‐to‐date high‐frequency S&P 500 and VIX data, we identify price‐volatility cojumps at the intraday granularity and construct upside, downside, and asymmetric measures.
Kefu Liao
wiley   +1 more source

Housing Price Estimation using Spatial Econometrics Models : Focused on the Real Transaction Housing Price in the Busan

, 2010
Sung Woo Kim
openalex   +1 more source

Reduced-bias estimation of spatial econometric models with incompletely geocoded data [PDF]

, 2019
Giuseppe Arbia, Maria Michela Dickson, Giuseppe Espa, Diego Giuliani, Flavio Santi   +4 more
openalex   +1 more source