专题:Forecasting Techniques and Applications

This cluster of papers focuses on advances in time series forecasting methods, including topics such as exponential smoothing, machine learning techniques, expert judgment, inventory management, demand forecasting, neural networks, and forecast combination.
最新文献
Why Machine Learning Models Systematically Underestimate Extreme Values

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StatModPredict: A user-friendly R-Shiny interface for fitting and forecasting with statistical models

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A Hybrid LMD–ARIMA–Machine Learning Framework for Enhanced Forecasting of Financial Time Series: Evidence from the NASDAQ Composite Index

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TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting

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Analyzing Real Data by a New Heavy-Tailed Statistical Model

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Illuminating Important Economic News by Candlesticks: Optimal Testing meets Technical Analysis

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AI-Powered Smart Inventory Management: Enhancing Efficiency Through Predictive Analytics and Automation

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A Comparative Analysis of Linear Regression Techniques: Evaluating Predictive Accuracy and Model Effectiveness

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Forecasting Retail Sales Demand by using AutoRegressive Integrated Moving Average and Graph Neural Network for Supply Chain Optimization

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AI-based predictive analytics for enhancing data-driven supply chain optimization

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近5年高被引文献
Generative Adversarial Nets

book-chapter Full Text OpenAlex 21019 FWCI9398.406

Testing Statistical Hypotheses

other Full Text OpenAlex 5455 FWCI0

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

article Full Text OpenAlex 3122 FWCI372.468

Forecasting: theory and practice

article Full Text OpenAlex 619 FWCI95.877

Applications of deep learning in stock market prediction: Recent progress

article Full Text OpenAlex 524 FWCI66.274

A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting

article Full Text OpenAlex 466 FWCI51.58

Explanation of machine learning models using shapley additive explanation and application for real data in hospital

article Full Text OpenAlex 462 FWCI29.521

Violating the normality assumption may be the lesser of two evils

article Full Text OpenAlex 458 FWCI52.779

Root mean square error or mean absolute error? Use their ratio as well

article Full Text OpenAlex 440 FWCI24.664

Metrics for Offline Evaluation of Prognostic Performance

article Full Text OpenAlex 414 FWCI19.642