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Regression analysis
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#	Item
301	Variable Selection Methods via Penalized Likelihood and Comparison of their Properties Jian Shi University of California Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2014-11-07 15:19:42 Regression analysis Econometrics Statistical methods Estimation theory Parametric statistics Linear regression Bias of an estimator Lasso Feature selection Correlation and dependence Logistic regression
302	Median-Unbiased Estimation of Higher Order Autoregressive/Unit Root Processes and Autocorrelation Consistent Covariance Estimation in a Money Demand Model J. Huston McCulloch 1 Add to Reading List Source URL: www.econ.ohio-state.edu Language: English - Date: 2012-01-12 12:02:16 Regression analysis Econometrics Time series analysis Estimation theory Parametric statistics Ordinary least squares Heteroscedasticity Linear regression Autocorrelation DurbinWatson statistic GaussMarkov theorem Unit root
303	Constrained Least Squares Stephen Boyd EE103 Stanford University November 16, 2015 Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-11-16 13:33:46 Regression analysis Mathematical optimization Least squares Polynomial regression Estimation theory Linear least squares Total least squares
304	J. Quant. Anal. Sports 2016; 12(2): 51–72 Sameer K. Deshpande* and Shane T. Jensen Estimating an NBA player’s impact on his team’s chances of winning Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-06-07 15:23:02 Estimation theory Statistical inference Probability distributions Regression analysis Bayesian inference Statistical forecasting Linear regression Normal distribution Win probability
305	On the Relevance of Irrelevant Alternatives ∗ Austin R. Benson Stanford University Add to Reading List Source URL: stanford.edu Language: English - Date: 2016-02-02 15:50:14 Regression analysis Statistical models Single-equation methods Choice modelling Discrete choice Multinomial logistic regression Independence of irrelevant alternatives Logit Logistic regression Mode choice NLOGIT
306	2 Concept of numerical guidance Masayuki Hirai Tokyo Climate Center (TCC)/ Add to Reading List Source URL: ds.data.jma.go.jp Language: English - Date: 2015-11-25 04:09:09 Econometrics Regression analysis Weather forecasting Statistical forecasting Model output statistics Japan Meteorological Agency Linear regression Forecasting Errors and residuals Tropical cyclone forecast model
307	Chapter 3 Tree- based Regress ion This chapter describes two different approaches to induce regression trees. We first present the standard methodology based on the minimisation of the squared error. Least squares (LS) r Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Regression analysis Econometrics Estimation theory Mathematical optimization Decision trees Decision tree learning Linear regression Least squares Least absolute deviations Multivariate adaptive regression splines Predictive analytics
308	Discussion of Gertler and Karadi, ``Monetary Policy Surprises, Credit Costs, and Economic Activity'' Add to Reading List Source URL: www.ericswanson.us Language: English - Date: 2013-10-20 16:15:01 Regression analysis Error Measurement Econometrics Time series models Errors and residuals Vector autoregression National Bureau of Economic Research T-statistic Value at risk
309	The increasing size and complexity of biomedical data could dramatically enhance basic discovery and prediction for applications. Realizing this potential requires analytics that are simultaneously selective, accurate, p Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Futurology Prediction Scientific method Regression analysis
310	Data Adaptive Pre-Specification for Experimental and Observational Data Maya Petersen with Laura Balzer, Linh Tran, Mark van der Laan Add to Reading List Source URL: www.bitss.org Language: English - Date: 2016-01-25 14:32:50 Statistical inference Statistical theory Statistical methods Econometrics Estimation theory Statistics Machine learning Regression analysis Artificial neural network Estimator Bias

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