Results 231 to 240 of about 721,056 (330)

Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting

open access: yesJournal 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   +2 more
wiley   +1 more source

Investigation of Social Media Metrics With Respect to Demand Modeling for Promotional Products

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Social media (SM) has revolutionized the way companies connect with customers, enabling more personalized marketing strategies and enhancing engagement. With platforms like Facebook offering detailed user data, businesses can create more targeted advertising campaigns. This paper proposes an approach to categorizing SM variables based on their
Yvonne Badulescu   +3 more
wiley   +1 more source

When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We study how statistical forecast gains for Bitcoin translate into trading profits. Using real‐time out‐of‐sample forecasts from daily bivariate VARs from October 2021 to February 2024, we show that Bitcoin returns are forecastable and that seven predictive indices yield significant gains in directional accuracy (DA).
Rehan Arain, Stephen Snudden
wiley   +1 more source

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