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Moving-average model
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141	JUNE[removed]Time Series Analysis CONTENT A time series is a chronological sequence of Add to Reading List Source URL: www.espon.eu Language: English - Date: 2013-04-03 04:40:44 Time series Autoregressive integrated moving average Partial autocorrelation function Stationary process Correlogram Moving-average model Autoregressive–moving-average model Forecasting Autocorrelation Statistics Time series analysis Box–Jenkins
142	Forecasting macroeconomic variables for the new member states of the European Union Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2005-08-18 09:58:31 Time series analysis Forecasting Macroeconomics Prediction Macroeconomic model Economic model Autoregressive integrated moving average JEL classification codes Wind power forecasting Statistics Statistical forecasting Data analysis
143	Melbourne Institute Working Paper Series Working Paper No[removed]Can Consumer Sentiment and Its Components Forecast Australian GDP and Consumption? Chew Lian Chua and Sarantis Tsiaplias Add to Reading List Source URL: www.melbourneinstitute.com Language: English - Date: 2010-06-15 20:53:51 Statistical forecasting Index numbers Data analysis Forecasting Macroeconomic model Consumer Confidence Index Vector autoregression Gross domestic product Autoregressive integrated moving average Statistics Time series analysis Econometrics
144	Melbourne Institute Working Paper Series Working Paper No[removed]Can Consumer Sentiment and Its Components Forecast Australian GDP and Consumption? Chew Lian Chua and Sarantis Tsiaplias Add to Reading List Source URL: melbourneinstitute.com Language: English - Date: 2010-06-15 20:53:51 Statistical forecasting Index numbers Data analysis Forecasting Macroeconomic model Consumer Confidence Index Vector autoregression Gross domestic product Autoregressive integrated moving average Statistics Time series analysis Econometrics
145	ABSTRACTS K1 Plenary Session: Keynote Speech Monday, 27 June, 8:00am-9:20am Add to Reading List Source URL: forecasters.org Language: English - Date: 2012-10-29 08:49:46 Data analysis Prediction Forecasting Exponential smoothing Demand forecasting Macroeconomic model Autoregressive integrated moving average Consensus forecast Tracking signal Statistics Time series analysis Statistical forecasting
146	ISF 2011 Proceedings ISF[removed]Prague PROCEEDINGS ISSN[removed] Add to Reading List Source URL: forecasters.org Language: English - Date: 2012-10-29 08:49:33 Data analysis Prediction Forecasting Exponential smoothing Demand forecasting Macroeconomic model Autoregressive integrated moving average Tracking signal Consensus forecast Statistics Time series analysis Statistical forecasting
147	Neural Networks for Time Series Forecasting: Practical Implications of Theoretical Results Melinda Thielbar and D.A. Dickey February 25, 2011 Research on the performance of neural networks in modeling nonlinear Add to Reading List Source URL: forecasters.org Language: English - Date: 2012-11-21 16:37:23 Noise Computational neuroscience Time series Neural network Autoregressive model Autoregressive conditional heteroskedasticity Moving-average model Forecasting Attractor Statistics Econometrics Time series analysis
148	1800 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 18, NO. 6, NOVEMBER 2007 Quarterly Time-Series Forecasting With Neural Networks Add to Reading List Source URL: forecasters.org Language: English - Date: 2008-07-21 15:37:44 Forecasting Box–Jenkins Time series Autoregressive integrated moving average Trend estimation Macroeconomic model Data transformation Dummy variable Predictive analytics Statistics Time series analysis Seasonality
149	Fast micro and slow macro: Can aggregation explain the persistence of in‡ation? Filippo Altissimo (ECB and CEPR), Benoît Mojon (ECB and Université de la Méditerranée) Paolo Za¤aroni (Banca d’Italia) November 200 Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2004-12-03 05:27:21 Autoregressive conditional heteroskedasticity Econometrics Economic model Moving-average model Statistics Time series analysis Noise
150	Discussion of: Barigozzi-Lippi-Luciani - Dynamic Factor Models, Cointegration, and Error Correction Mechanisms R. Mosconi Politecnico di Milano 4th Carlo Giannini Conference Add to Reading List Source URL: www.bancaditalia.it Language: English - Date: 2014-04-10 12:58:32 Economics Cointegration Mathematical finance Economic model Autoregressive integrated moving average Unit root Time series analysis Econometrics Statistics

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