Regression estimation - PDFSEARCH.IO - Document Search Engine

Regression estimation
Results: 2996

#	Item
21	Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Regression analysis Statistics Estimation theory Nonparametric statistics Parametric statistics Polynomial regression Local regression Decision tree learning Kernel regression Ordinary least squares Nonparametric regression Linear regression
22	INFERENCE IN HIGH DIMENSIONAL PANEL MODELS WITH AN APPLICATION TO GUN CONTROL arXiv:1411.6507v1 [stat.ME] 24 NovALEXANDRE BELLONI, VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, AND DAMIAN KOZBUR Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-24 20:40:16 Statistics Regression analysis Estimation theory Lasso Linear regression Random effects model Least squares Fixed effects model Ordinary least squares Instrumental variable Feature selection Heteroscedasticity
23	Microsoft Word - InternetAppendix_Final.docx Add to Reading List Source URL: www3.nd.edu Language: English - Date: 2011-03-18 15:04:06 Statistics Estimation theory Mathematical finance Regression analysis Parametric statistics Linear regression Beta Cross-sectional data
24	IEEE TRANSACTION ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 1 Human Pose Estimation with Regression by Fusing Multi-View Visual Information Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2010-07-25 04:16:40 Artificial intelligence Statistics Vision Computer vision Robot control Regression analysis Estimation theory Pose 3D pose estimation Pattern recognition Linear regression Nonparametric regression
25	INSTRUMENTAL VARIABLES ESTIMATION WITH MANY WEAK INSTRUMENTS USING REGULARIZED JIVE CHRISTIAN HANSEN AND DAMIAN KOZBUR Abstract. We consider instrumental variables regression in models where the number of available instr Add to Reading List Source URL: www.n.ethz.ch Language: English - Date: 2013-10-06 16:12:54 Statistics Estimation theory Statistical theory Regression analysis Statistical inference Statistical methods Linear regression Instrumental variable Estimator Asymptotic theory Shrinkage estimator M-estimator
26	Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection Hassan Ghasemzadeh Mohammadi∗ , Pierre-Emmanuel Gaillardon∗ , Majid Yazdani† , Giovanni De Micheli∗ Integra Add to Reading List Source URL: majid.yazdani.me Language: English - Date: 2015-08-19 06:57:43 Software Estimation theory Statistics Machine learning Application software Actuarial science Regression analysis SPICE Pattern recognition Linear regression Structural estimation Semiconductor device modeling
27	Department of Public Health University of Copenhagen Advanced Epidemiology and Biostatistics Fall 2016 Add to Reading List Source URL: mph.ku.dk Language: English - Date: 2016-05-03 06:59:32 Demography Statistics Public health Regression analysis Estimation theory Academia Bioinformatics Biostatistics Epidemiology Euler Linear regression Logistic regression
28	CSIRO PUBLISHING www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422 Add to Reading List Source URL: www.css.cornell.edu Language: English - Date: 2015-10-21 13:33:05 Statistics Regression analysis Estimation theory Linear regression Mean squared error Errors and residuals Autocorrelation Prediction Sampling Multicollinearity Regression-Kriging
29	Understanding spatial nonstationarity in the influence of topography and vegetation on patterns of snow depth and snow water equivalent (SWE) can improve distributed SWE models, improve river runoff forecasts, and guide Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Statistics Signal processing Estimation theory Meteorology Precipitation Snow Water ice Regression analysis Lidar Autoregressive model Water
30	Evaluating Problem Difficulty Rankings Using Sparse Student Response Data Ari BADER-NATAL 1 , Jordan POLLACK DEMO Lab, Brandeis University Abstract. Problem difficulty estimates play important roles in a wide variety of Add to Reading List Source URL: aribadernatal.com Language: English - Date: 2016-06-29 00:36:46 Statistics Statistical models Psychometrics Machine learning Educational psychology Estimation theory Item response theory Rasch model Cross-validation Regression analysis SAT

UPDATE