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Modeling European industrial production with multivariate singular spectrum analysis: A cross‐industry analysis
14 references·0 citing·42 second hop
Modeling European industrial production with multivariate singular spectrum analysis: A cross‐industry analysis (2018)Modeling European industrial production w…Forecasting accuracy evaluation of tourist arrivals (2017)Forecasting accuracy evaluati…Cross country relations in European tourist arrivals (2017)Cross country relations in Eu…Real-time nowcasting the US output gap: Singular spectrum analysis at work (2016)Real-time nowcasting the US o…On the use of singular spectrum analysis for forecasting U.S. trade before, during and after the 2008 recession (2015)On the use of singular spectr…A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts (2015)A Kolmogorov-Smirnov Based Te…Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis (2014)Forecasting U.S. Tourist arri…Forecasting UK Industrial Production with Multivariate Singular Spectrum Analysis (2012)Forecasting UK Industrial Pro…Forecasting European industrial production with singular spectrum analysis (2008)Forecasting European industri…Forecasting and combining competing models of exchange rate determination (2008)Forecasting and combining com…Linear versus neural network forecasts for European industrial production series (2003)Linear versus neural network …Seasonal unit roots and forecasts of two-digit European industrial production (1999)Seasonal unit roots and forec…The economics of seasonal cycles (1997)The economics of seasonal cyc…Testing the equality of prediction mean squared errors (1997)Testing the equality of predi…SEASONALITY AND THE ORDER OF INTEGRATION FOR CONSUMPTION* (1988)SEASONALITY AND THE ORDER OF …Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Forecasting tourism demand with denoised neural networks (2018)Using SARIMA–CNN–LSTM approach to forecast daily tourism demand (2021)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Book Review: Time Series Analysis: Forecasting and Control (1977)Predicting Inflation Dynamics with Singular Spectrum Analysis (2012)Forecasting the price of gold (2015)Evaluation of forecasting methods from selected stock market returns (2019)Forecasting Economic Time Series (2000)25 years of time series forecasting (2006)Tests of Conditional Predictive Ability (2006)A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)Trends and random walks in macroeconmic time series (1982)Trends and random walks in macroeconomic time series (1988)Forecasting international tourist flows to Australia: a comparison between the direct and indirect methods (2003)Forecasting Competitions: Their Role in Improving Forecasting Practice and Research (2004)Regional unemployment forecasts with spatial interdependencies (2009)Forecasting with artificial neural networks: (1998)Tests for Forecast Encompassing (1998)A review on singular spectrum analysis for economic and financial time series (2010)Some properties of time series data and their use in econometric model specification (1981)DEVELOPMENTS IN THE STUDY OF COINTEGRATED ECONOMIC VARIABLES (1986)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)COINTEGRATION AND UNIT ROOTS (1990)Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data (1993)Testing for a Unit Root (1993)Generalized autoregressive conditional heteroskedasticity (1986)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)New developments in tourism and hotel demand modeling and forecasting (2017)A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting (2019)DIAGNOSTIC CHECKING ARMA TIME SERIES MODELS USING SQUARED‐RESIDUAL AUTOCORRELATIONS (1983)A test for independence based on the correlation dimension (1996)Time-delay neural networks for time series prediction: an application to the monthly wholesale price of oilseeds in India (2012)Machine learning advances for time series forecasting (2021)Forecasting methods and applications (1993)Automatic Time Series Forecasting: The forecast Package for R (2008)Forecasting principles and practice (2018)Tourism Demand and the COVID-19 Pandemic: An LSTM Approach (2020)How Dynamic Consumer Response, Competitor Response, Company Support, and Company Inertia Shape Long-Term Marketing Effectiveness (2004)Seasonal Cycles in Crime, and Their Variability (2011)
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References

  • 1997Testing the equality of prediction mean squared errors2,123 cited
  • 1988SEASONALITY AND THE ORDER OF INTEGRATION FOR CONSUMPTION*299 cited
  • 2008Forecasting European industrial production with singular spectrum analysis270 cited
  • 2015A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts161 cited
  • 2014Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis161 cited
  • 1997The economics of seasonal cycles157 cited
  • 2017Forecasting accuracy evaluation of tourist arrivals154 cited
  • 2003Linear versus neural network forecasts for European industrial production series123 cited
  • 2012Forecasting UK Industrial Production with Multivariate Singular Spectrum Analysis113 cited
  • 1999Seasonal unit roots and forecasts of two-digit European industrial production72 cited
  • 2015On the use of singular spectrum analysis for forecasting U.S. trade before, during and after the 2008 recession71 cited
  • 2008Forecasting and combining competing models of exchange rate determination54 cited
  • 2016Real-time nowcasting the US output gap: Singular spectrum analysis at work45 cited
  • 2017Cross country relations in European tourist arrivals37 cited

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