Results 211 to 220 of about 28,205 (317)

Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts

Journal of Forecasting, EarlyView.
ABSTRACT Forecast quality should be assessed in the context of what is possible in theory and what is reasonable to expect in practice. Often, one can identify an approximate upper bound to a probabilistic forecast's sharpness, which sets a lower, not necessarily achievable, limit to error metrics.
Malte C. Tichy, Illia Babounikau, Nikolas Wolke, Stefan Ulbrich, Michael Feindt   +4 more
wiley   +1 more source

Exploring the Drivers of Food Waste Across EU Member States: A Socio-Economic and Environmental Perspective. [PDF]

Foods
Aleksanyan V, Arion FH, Gevorgyan S, Markosyan D, Parsyan SH, Mnacakanyan K, Oroian FC, Muresan IC, Arion ID, Chis S.   +9 more
europepmc   +1 more source

Stock Portfolio Management Based on AI Technology

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting stock performance is crucial for formulating a profitable trading approach aimed at achieving significant gains. In addition, prediction results serve as essential prerequisites for creating and optimizing active investment portfolios.
Alejandro Moreno Alonso, Joaquín Ordieres‐Meré   +1 more
wiley   +1 more source

Analysis of the spatiotemporal evolution and drivers of agricultural carbon emissions: evidence from provincial-level regions of China. [PDF]

Sci Rep
Yuan Z, Wu R, Fang W, Liu Y.
europepmc   +1 more source

Econometric-Process Models for Integrated Assessment of Agricultural Production Systems

, 2017
John M. Antle, Susan M. Capalbo
openalex   +2 more sources

A Two‐Stage NLP‐Driven Framework for Interval‐Valued Carbon Price Prediction Using Sentiment Analysis and Error Correction

Journal of Forecasting, EarlyView.
ABSTRACT Accurate predictions of carbon prices are essential for efficient administration and stable operation of carbon markets. Previous studies have mostly focused on point or interval predictions based on point‐valued data. These approaches insufficiently capture the full extent of market volatility.
Di Sha, Xianyi Zeng, Arne Johannssen, Ruolin Wang, Kim Phuc Tran   +4 more
wiley   +1 more source

What are the spatio-temporal differentiation characteristics and driving factors of the coupling coordination degree between green finance and ecological efficiency? Evidence from 84 cities in western China. [PDF]

PLoS One
Ma D, An B, Guo Z, Zhang J, Zhang F, Chang R, Yan Y.   +6 more
europepmc   +1 more source

Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting systems have a long tradition in providing outputs accompanied by explanations. While the vast majority of such explanations relies on inherently interpretable linear statistical models, research has put forth eXplainable Artificial Intelligence (XAI) methods to improve the comprehensibility of nonlinear machine learning models. As
Felix Haag, Konstantin Hopf, Thorsten Staake   +2 more
wiley   +1 more source

A Novel Approach to Forecasting After Large Forecast Errors

Journal of Forecasting, EarlyView.
ABSTRACT A sequence of increasingly large same‐sign 1‐step‐ahead forecast errors are most likely due to a sudden unexpected shift. Large forecast errors can be expensive, but also contain valuable information. Impulse indicators acting as intercept corrections to set forecasts back on track can be quickly tested for replacing outliers, a location shift
Jennifer L. Castle, Jurgen A. Doornik, David F. Hendry   +2 more
wiley   +1 more source

Identifying delayed human response to external risks: an econometric analysis of mobility change during a pandemic. [PDF]

BMC Med Res Methodol
Zhang G, Osi A, Ghaffarzadegan N, Rahmandad H, Xu R.   +4 more
europepmc   +1 more source