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Time-Series Forecasting
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Time-Series Forecasting (2002)Time-Series ForecastingForecasting air passenger numbers with a GVAR model (2021)Forecasting air passenger num…Potato Price Forecasting with Holt-Winters and ARIMA Methods: A Case Study (2020)Potato Price Forecasting with…Forecast Combinations in a DSGE‐VAR Lab (2016)Forecast Combinations in a DS…Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models (2013)Predicting the maintenance co…Implementation of multivariate cumulative sum control charts in mastitis and lameness monitoring (2013)Implementation of multivariat…Predicting ambulance demand using singular spectrum analysis (2012)Predicting ambulance demand u…An efficient CMAC neural network for stock index forecasting (2011)An efficient CMAC neural netw…Computational Intelligence-Based Intelligent Business Intelligence System: Concept and Framework (2010)Computational Intelligence-Ba…Forecasting market prices in a supply chain game (2008)Forecasting market prices in …Time-Series Forecasting (2005)Time-Series ForecastingPrediction Intervals for Time-Series Forecasting (2001)Prediction Intervals for Time…Time Series Analysis: Forecasting and Control (1977)Forecasting, Structural Time Series Models and the Kalman Filter (1990)Evaluating Interval Forecasts (1998)Standards and Practices for Forecasting (2001)Beyond point forecasting: Evaluation of alternative prediction intervals for tourist arrivals (2010)Real Time, Time Series Forecasting of Inter- and Intra-State Political Conflict (2011)Time Series Analysis Forecasting and Control. (1971)Introduction to Time Series and Forecasting (2002)A Queueing Theoretic Approach to Set Staffing Levels in Time‐Dependent Dual‐Class Service Systems* (2016)An interactive decision support system for real-time ambulance relocation with priority guidelines (2021)Data-driven forecasting for operational planning of emergency medical services (2022)Forecasting with artificial neural networks: (1998)Financial time series forecasting using support vector machines (2003)25 years of time series forecasting (2006)On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices (2013)A Hybrid Approach by Integrating Brain Storm Optimization Algorithm with Grey Neural Network for Stock Index Forecasting (2014)Stock Market Prediction Performance of Neural Networks: A Literature Review (2017)The Combination of Forecasts (1969)Time-Series Forecasting (2000)Generic Integration of Lean, Agile, Resilient, and Green Practices in Automotive Supply Chain (2013)Supply chain performance monitoring using Bayesian network (2013)Adaptive Tactical Pricing in Multi‐Agent Supply Chain Markets Using Economic Regimes (2015)A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets (2006)Handbook on Decision Support Systems 2 (2008)Business Intelligence and its Applications in the Public Healthcare System (2011)Intelligence decision systems in enterprise information management (2011)Integrating Business Intelligence and Analytics in Managing Public Sector Performance: An Empirical Study (2019)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Numerical distribution functions for unit root and cointegration tests (1996)Prediction of site overhead costs with the use of artificial neural network based model (2018)Data-Driven Machine Learning Approach to Integrate Field Submittals in Project Scheduling (2020)Improving Accuracy in Predicting City-Level Construction Cost Indices by Combining Linear ARIMA and Nonlinear ANNs (2021)Staggered prices in a utility-maximizing framework (1983)Comparing Predictive Accuracy (1994)Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach (2007)A Gaussian process regression machine learning model for forecasting retail property prices with Bayesian optimizations and cross-validation (2023)Office real estate price index forecasts through Gaussian process regressions for ten major Chinese cities (2024)Forecasts of wholesale food price indices through Gaussian process regressions (2025)Time Series Analysis: Forecasting and Control (1977)Forecasting seasonals and trends by exponentially weighted moving averages (2004)An Enhanced Long Short-Term Memory Recurrent Neural Network Deep Learning Model for Potato Price Prediction (2024)Macroeconomics and Reality (1980)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Tourism demand forecasting with spatiotemporal features (2022)Systematic review of passenger demand forecasting in aviation industry (2023)Enhancing tourism demand forecasting with a transformer-based framework (2024)Time Series Analysis Forecasting and Control. (1973)Forecasting Economic Time Series (1986)Impact of Internet of Things (IoT) Data on Demand Forecasting (2017)Forecasting age distribution of death counts: an application to annuity pricing (2019)RETRACTED: Corporation financial distress prediction with deep learning: analysis of public listed companies in Malaysia (2021)
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Cited by

  • 2001Prediction Intervals for Time-Series Forecasting90 cited
  • 2013Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models84 cited
  • 2005Time-Series Forecasting63 cited
  • 2016Forecast Combinations in a DSGE‐VAR Lab61 cited
  • 2012Predicting ambulance demand using singular spectrum analysis61 cited
  • 2020Potato Price Forecasting with Holt-Winters and ARIMA Methods: A Case Study51 cited
  • 2008Forecasting market prices in a supply chain game48 cited
  • 2021Forecasting air passenger numbers with a GVAR model47 cited
  • 2011An efficient CMAC neural network for stock index forecasting42 cited
  • 2010Computational Intelligence-Based Intelligent Business Intelligence System: Concept and Framework28 cited
  • 2013Implementation of multivariate cumulative sum control charts in mastitis and lameness monitoring26 cited

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