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Regression Analysis of Time Series
Results: 404

#	Item
251	Most Likely Heteroscedastic Gaussian Process Regression Kristian Kersting [removed] CSAIL, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA, [removed], USA Christian Plagemann Add to Reading List Source URL: www.service-robotik-initiative.de Language: English - Date: 2007-11-05 10:05:33 Estimation theory Parametric statistics Time series analysis Linear regression Heteroscedasticity Homoscedasticity Mean squared error Errors and residuals in statistics Least squares Statistics Regression analysis Econometrics
252	Bayesian Doubly Adaptive Elastic-Net Lasso For VAR Shrinkage Deborah Gefang∗ Department of Economics University of Lancaster email: [removed] Add to Reading List Source URL: www.eabcn.org Language: English - Date: 2014-07-17 06:45:28 Econometrics Time series analysis Elastic net regularization Statistical theory Least squares Lasso Bayesian VAR Bayesian inference Bayesian probability Statistics Regression analysis Bayesian statistics
253	ECONOMETRIC MODELS FOR DETERMING THE EXCHANGE RATE Phd Candidate Mihaela BRATU Academy of Economic Studies, Bucharest Abstract The simple econometric models for the exchange rate, according to Add to Reading List Source URL: www.revistadestatistica.ro Language: English - Date: 2014-02-04 06:28:09 Statistical forecasting Estimation theory Economic model Regression analysis Forecasting Forecast error Econometric model Granger causality Wind power forecasting Statistics Time series analysis Econometrics
254	A Monthly Indicator of the Euro Area GDP1 Cecilia Frale Universit`a di Roma “Tor Vergata” and Ministry of the Economy and Finance Massimiliano Marcellino European University Institute, IGIER and CEPR Add to Reading List Source URL: unstats.un.org Language: English - Date: 2011-02-07 15:15:07 Gross domestic product Economic indicator Dynamic factor Linear regression Univariate Time series Statistics Econometrics Regression analysis
255	Conference on Seasonality, Seasonal Adjustment and their implications for Short-Term Analysis and Forecasting[removed]May 2006 BV4.1 – Methodology and User-friendly Software Add to Reading List Source URL: epp.eurostat.ec.europa.eu Language: English Time series analysis Estimation theory Parametric statistics Linear regression BV4.1 Federal Statistical Office of Germany Ordinary least squares Outlier Seasonal adjustment Statistics Regression analysis Econometrics
256	Under-performing, Over-performing, or Just Performing? The Limitations of Fundamentals-based Presidential Election Forecasting Benjamin E. Lauderdale Lecturer Methodology Institute Add to Reading List Source URL: benjaminlauderdale.net Language: English - Date: 2014-03-27 14:17:05 Statistical forecasting Data analysis Time series analysis Uncertainty Forecasting Prediction Regression analysis United States presidential election Linear regression Statistics Econometrics Measurement
257	Journal of Exposure Science and Environmental Epidemiology[removed], 299–311 r 2008 Nature Publishing Group All rights reserved[removed]/$30.00 www.nature.com/jes A new method of longitudinal diary assembly for h Add to Reading List Source URL: www.nature.com Language: English - Date: 2010-01-15 07:42:40 Autocorrelation Regression analysis Signal processing Variance Uniform distribution Statistics Time series analysis Covariance and correlation
258	ISSN[removed]ISBN[removed]X SOCIAL ASSISTANCE CASELOAD IMPACT OF THE BUILDING INDEPENDENCE PROGRAM IN SASKATCHEWAN: A TIME-SERIES ANALYSIS By Add to Reading List Source URL: www2.uregina.ca Language: English - Date: 2011-11-24 15:02:55 Regression analysis Welfare and poverty Time series analysis Welfare economics Poverty in Canada Linear regression Autocorrelation Welfare Poverty Statistics Economics Econometrics
259	Package ‘s2dverification’ July 2, 2014 Type Package Title Set of common tools for model diagnostics. Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:23:26 Covariance and correlation Time series analysis Signal processing Common Lisp Common Lisp Interface Manager Autocorrelation ACC0 Dimension Regression analysis Statistics Theoretical computer science Applied mathematics
260	NBER Summer Institute What’s New in Econometrics – Time Series Lecture 4 July 14, 2008 Weak Instruments, Weak Identification, Add to Reading List Source URL: www.nber.org Language: English - Date: 2008-07-23 17:29:46 Estimation theory Computational statistics Regression analysis Bootstrapping Generalized method of moments Robust statistics Instrumental variable Estimator Quantile Statistics Statistical inference Econometrics

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