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Autoregressive conditional heteroskedasticity
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211	Spatial Time-Series Modeling: A review of the proposed methodologies Yiannis Kamarianakis Department of Economics, University of Crete, Rethymnon, Greece, and Regional Analysis Division, Institute of Applied and Computat Add to Reading List Source URL: itcnt05.itc.nl Language: English - Date: 2008-09-22 04:53:12 Noise Autoregressive–moving-average model Stochastic processes Time series Autoregressive integrated moving average Regression analysis Autoregressive conditional heteroskedasticity Economic model Vector autoregression Statistics Time series analysis Econometrics
212	Approaches for Multi-step Density Forecasts with Application to Aggregated Wind Power Add to Reading List Source URL: www.willisresearchnetwork.com Language: English - Date: 2012-02-01 12:16:08 Autoregressive conditional heteroskedasticity Normal distribution Exponential smoothing Weather forecasting Numerical weather prediction Autoregressive integrated moving average Variance Forecasting Statistics Time series analysis Data analysis
213	Microsoft Word - Tutorial2payment edited final.doc Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-06 14:04:56 Categorical data Statistical tests Actuarial science Autoregressive conditional heteroskedasticity Goodness of fit Statistics Econometrics Regression analysis
214	TIIII Tinbergen Institute Discussion Paper A Dynamic Yield Curve Model with Stochastic Volatility and Non-Gaussian Interactions: An Empirical Study of Non-standard Add to Reading List Source URL: www.greta.it Language: English - Date: 2014-09-23 15:23:41 Financial economics Yield curve Stochastic volatility Volatility Normal distribution Kalman filter Economic model Autoregressive conditional heteroskedasticity Statistical model Statistics Mathematical finance Economics
215	Ecology, 84(11), 2003, pp. 3055–3063 q 2003 by the Ecological Society of America META-ANALYSIS OF ANIMAL MOVEMENT USING STATE-SPACE MODELS IAN D. JONSEN,1,3 RANSOM A. MYERS,1 Add to Reading List Source URL: www.fmap.ca Language: English - Date: 2011-04-09 11:26:20 Econometrics Graphical models Parametric statistics Bayes factor Statistical model Kalman filter Meta-analysis Hierarchical Bayes model Autoregressive conditional heteroskedasticity Statistics Statistical theory Bayesian statistics
216	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: ftp.acc.umu.se Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
217	latent gold 4.0 manual final for pdf.qxp Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-01-06 11:59:52 Statistical inference Statistical models Computational statistics SPSS Dummy variable Bootstrapping Latent class model Autoregressive conditional heteroskedasticity Statistics Econometrics Regression analysis
218	An automatic report for the dataset : 02-solar The Automatic Statistician Abstract This report was produced by the Automatic Bayesian Covariance Discovery Add to Reading List Source URL: automaticstatistician.com Language: English - Date: 2014-07-15 07:06:37 Data analysis Bayesian statistics Probability theory Variance Autoregressive conditional heteroskedasticity Normal distribution Prior probability Errors and residuals in statistics Statistics Regression analysis Time series analysis
219	Learning Exercise Policies for American Options Yuxi Li Dept. of Computing Science University of Alberta Edmonton, Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2009-03-22 22:07:32 Autoregressive conditional heteroskedasticity Normal distribution Geometric Brownian motion Option style Reinforcement learning Markov decision process Put option Option LSm Statistics Options Financial economics
220	An automatic report for the dataset : 10-sulphuric The Automatic Statistician Abstract This report was produced by the Automatic Bayesian Covariance Discovery Add to Reading List Source URL: automaticstatistician.com Language: English - Date: 2014-07-15 07:06:44 Bayesian statistics Time series analysis Probability theory Variance Autoregressive conditional heteroskedasticity Prior probability Explained variation Statistics Data analysis Regression analysis

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