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  • Search: subject:"Partitioning Estimators"
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Year of publication
Subject
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binned scatter plot 2 binning selection 2 nonparametric regression 2 partitioning estimators 2 piecewise polynomials 2 regressogram 2 robust bias correction 2 splines 2 uniform inference 2 Bias 1 Categorization 1 Decision Trees 1 Estimation theory 1 Mean Squared Error 1 Nichtparametrische Schätzung 1 Nichtparametrisches Verfahren 1 Non-Parametric Regression 1 Nonparametric estimation 1 Nonparametric statistics 1 Partition 1 Partitioning Estimators 1 Piece-Wise Linear Regression 1 Prediction Trees 1 Regression Trees 1 Regression analysis 1 Regressionsanalyse 1 Regressogram 1 Robust statistics 1 Robustes Verfahren 1 Schätztheorie 1 Systematischer Fehler 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3
Author
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Cattaneo, Matias D. 2 Crump, Richard K. 2 Farrell, Max H. 2 Feng, Yingjie 2 Mohlin, Erik 1
Published in...
All
Staff Report 1 Staff reports / Federal Reserve Bank of New York 1 Working Paper 1
Source
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EconStor 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
Cover Image
On Binscatter
Cattaneo, Matias D.; Crump, Richard K.; Farrell, Max H.; … - 2019
Binscatter is very popular in applied microeconomics. It provides a flexible, yet parsimonious way of visualizing and summarizing "big data" in regression settings, and it is often used for informal testing of substantive hypotheses such as linearity or monotonicity of the regression function....
Persistent link: https://www.econbiz.de/10012144724
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Cover Image
On Binscatter
Cattaneo, Matias D.; Crump, Richard K.; Farrell, Max H.; … - 2019
Binscatter is very popular in applied microeconomics. It provides a flexible, yet parsimonious way of visualizing and summarizing "big data" in regression settings, and it is often used for informal testing of substantive hypotheses such as linearity or monotonicity of the regression function....
Persistent link: https://www.econbiz.de/10011986776
Saved in:
Cover Image
Asymptotically Optimal Regression Trees
Mohlin, Erik - 2018
Regression trees are evaluated with respect to mean square error (MSE), mean integrated square error (MISE), and integrated squared error (ISE), as the size of the training sample goes to infinity. The asymptotically MSE- and MISE minimizing (locally adaptive) regression trees are characterized....
Persistent link: https://www.econbiz.de/10013208812
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