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Time series models
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#	Item
201	Data and bias correction for decadal climate predictions 1. Introduction Because climate models are not perfect simulated climatologies will dier somewhat from observed climatologies. The model state will drift toward Add to Reading List Source URL: www.wcrp-climate.org Language: English - Date: 2013-12-18 05:49:10 Data analysis Forecasting Time series analysis Weather prediction Meteorology Science Statistical forecasting Prediction Statistics
202	Data and bias correction for decadal climate predictions 1. Introduction Because climate models are not perfect simulated climatologies will dier somewhat from observed climatologies. The model state will drift toward Add to Reading List Source URL: www.wcrp-climate.org Language: English - Date: 2014-01-10 05:52:24 Data analysis Forecasting Time series analysis Weather prediction Meteorology Science Statistical forecasting Prediction Statistics
203	Using Eigenpattern Analysis to Constrain Numerical Fault Models - Applications to Southern California K. F. Tiampo(1), J. B. Rundle(2), S. McGinnis(3), W. Klein(4), and Y. Ben-Zion[removed]CIRES, University of Colorado, Add to Reading List Source URL: quakes.earth.uq.edu.au Language: English - Date: 2003-11-13 02:26:03 Singular value decomposition Time series analysis Multivariate statistics Continuum mechanics Linear algebra Principal component analysis Singular spectrum analysis Karhunen–Loève theorem Interferometric synthetic aperture radar Algebra Statistics Physics
204	Project: COST ES0803 WP Ref. 120 Title: Performance of available research and operational models Add to Reading List Source URL: www.costes0803.noa.gr Language: English - Date: 2010-03-08 05:11:00 Prediction Statistical forecasting Data analysis Forecasting Time series analysis Space weather Weather forecasting Numerical weather prediction Atmospheric sciences Meteorology Weather prediction
205	Testing Causality Between Two Vectors in Multivariate GARCH Models Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2013-08-05 02:22:00 Estimation theory Autoregressive conditional heteroskedasticity Regression analysis Causality Vector autoregression Economic model Autoregressive–moving-average model Maximum likelihood Time series Statistics Time series analysis Econometrics
206	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Modelling High-Frequency Volatility with Three-State FIGARCH models Y. Shi a , K.Y-. Ho a Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:07:31 Mathematical sciences Technical analysis Markov models Autoregressive conditional heteroskedasticity Econometrics Time series analysis Volatility Economic model Time series Statistics Mathematical finance Financial economics
207	Long-Run Effects in Large Heterogenous Panel Data Models with Cross-Sectionally Correlated Errors - Institute working paper no[removed]Dallas Fed Add to Reading List Source URL: www.dallasfed.org Language: English - Date: 2015-01-21 15:11:37 Time series analysis Estimation theory Parametric statistics Linear regression Ordinary least squares Autocorrelation Distributed lag Vector autoregression Unit root Statistics Regression analysis Econometrics
208	Microsoft PowerPoint - Slides_on_ARIMA_models--Robert_Nau.pptx Add to Reading List Source URL: people.duke.edu Language: English - Date: 2014-11-29 15:39:14 Box–Jenkins Autoregressive integrated moving average Moving-average model Autocorrelation Seasonality Forecasting Time series Autoregressive model Regression analysis Statistics Time series analysis Partial autocorrelation function
209	Bangko Sentral ng Pilipinas BSP Working Paper Series Forecasting the Volatility of Philippine Inflation using GARCH Models Add to Reading List Source URL: www.bsp.gov.ph Language: English - Date: 2013-11-05 13:22:15 Econometrics Noise Autoregressive conditional heteroskedasticity Technical analysis Mathematical finance Time series Volatility Forecasting Autoregressive–moving-average model Statistics Time series analysis Economics
210	INFORMATION NOTE NO. 13 MODELS AND RESULTS OF THE EMPLOYMENT USE FLOORSPACE DEMAND FORECAST FOR REFERENCE SCENARIO Purpose 1. Add to Reading List Source URL: www.pland.gov.hk Language: English - Date: 2014-06-30 12:04:38 Time series analysis Macroeconomic model Economic model Econometrics Economics Science Ethology Statistical forecasting Data analysis Forecasting

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