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Time series models
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#	Item
311	F INITE MIXTURE MODELING OF G AUSSIAN REGRESSION TIME SERIES S EMHAR M ICHAEL ([removed]) and V OLODYMYR M ELNYKOV I NTRODUCTION M ETHODOLOGY– KF-EM Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 16:28:45 Estimation theory Cluster analysis Statistical models Expectation–maximization algorithm Regression analysis Mixture model Akaike information criterion Autoregressive conditional heteroskedasticity Western White Pine Statistics Econometrics Machine learning
312	JWST451-Derryberry May 23, [removed]:39 Add to Reading List Source URL: media.wiley.com Language: English - Date: 2014-05-28 07:13:20 Noise Regression analysis Statistical models Autocorrelation Autoregressive model Moving-average model Akaike information criterion Time series Correlogram Statistics Time series analysis Covariance and correlation
313	Models for Seasonal Adjustment 2014Q1 EURO AREA N EA_S1M_P31 Add to Reading List Source URL: epp.eurostat.ec.europa.eu Language: English LS Allium tricoccum Flora of the United States Seasonality Time series analysis
314	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
315	CONFERENCE ON SEASONALITY, SEASONAL ADJUSTMENT AND THEIR IMPLICATIONS FOR SHORT-TERM ANALYSIS AND FORECASTING[removed]MAY[removed]Seasonality and unobserved components models: an overview Add to Reading List Source URL: epp.eurostat.ec.europa.eu Language: English Seasonal adjustment Autoregressive integrated moving average Time series JT Dummy variable Statistics Time series analysis Seasonality
316	Forecasting daily time series using periodic unobserved component time series models Siem Jan Koopman and Marius Ooms May 2006, Eurostat, Luxemburg Free University and Tinbergen Institute, Amsterdam www.ssfpack.com Add to Reading List Source URL: epp.eurostat.ec.europa.eu Language: English** Mathematical analysis Autoregressive–moving-average model Time series Forecasting Periodic function Autoregressive conditional heteroskedasticity Moving-average model Autoregressive model Time series analysis Statistics Noise
317	APTS Statistical Modelling: Practical 1 D. C. Woods April 7, 2014 The code below generates a time series of length n, and then fits autoregressive models of order up to order.max (which is set to 19 below). The AIC is pl Add to Reading List Source URL: www2.warwick.ac.uk Language: English - Date: 2014-04-08 02:59:55 Noise AICC Autoregressive model Time series Autoregressive integrated moving average Time series analysis Bayesian information criterion Statistics Model selection Akaike information criterion
318	Accepted on February[removed]Granger causality between energy use and economic growth in France with using geostatistical models Arshia Amiri a,b,* and Mansour Zibaei b a Add to Reading List Source URL: plagiarism.repec.org Language: English - Date: 2012-05-17 14:19:38 Econometrics Causality Variogram Semivariance Cointegration Kriging Granger causality Regression analysis Unit root Statistics Geostatistics Time series analysis
319	Regime-switching global vector autoregressive models Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2013-08-02 05:44:48 Markov models Autoregressive conditional heteroskedasticity Markov chain Vector autoregression Economic model Expectation–maximization algorithm Forecasting SETAR Statistics Time series analysis Econometrics
320	Microsoft Word - Pervukhina_Elena_ISF2011.doc Add to Reading List Source URL: www.forecasters.org Language: English - Date: 2011-07-17 15:33:58 Econometrics Markov models Robot control Vector autoregression Kalman filter Forecasting Time series Seasonality Cointegration Statistics Time series analysis Control theory