On the finite sample properties of pre-test estimators of spatial models Gianfranco Piras∗ Ingmar R. Prucha†

First Page		Document Content
Date: 2013-10-02 12:09:44 Statistics Estimation theory Regression analysis Statistical theory Parametric statistics Signal processing Ordinary least squares Autocorrelation Estimator Generalized method of moments Robust statistics Linear regression		On the finite sample properties of pre-test estimators of spatial models Gianfranco Piras∗ Ingmar R. Prucha† Add to Reading List Source URL: rri.wvu.edu Download Document from Source Website File Size: 181,15 KB Share Document on Facebook

	Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its pop DocID: 1uuGd - View Document
	Knowl Inf Syst DOIs10115REGULAR PAPER Density-preserving projections for large-scale local anomaly detection DocID: 1roU1 - View Document
	On the finite sample properties of pre-test estimators of spatial models Gianfranco Piras∗ Ingmar R. Prucha† DocID: 1rm2t - View Document
	Efficient and Robust Automated Machine Learning Matthias Feurer Aaron Klein Katharina Eggensperger Jost Tobias Springenberg DocID: 1rkhg - View Document
	More accurate volatility estimation and forecasts using price durations∗ Ingmar Nolte† Stephen J. Taylor‡ DocID: 1rj8Q - View Document