<--- Back to Details
First PageDocument Content
Regression analysis / Additive model / Errors and residuals / Backfitting algorithm
Date: 2016-08-02 06:58:13
Regression analysis
Additive model
Errors and residuals
Backfitting algorithm

Ann Inst Stat Math:827–853 DOIs10463x Smooth backfitting in additive inverse regression Nicolai Bissantz · Holger Dette · Thimo Hildebrandt · Kathrin Bissantz

Add to Reading List

Source URL: www.ism.ac.jp

Download Document from Source Website

File Size: 199,38 KB

Share Document on Facebook

Similar Documents

Journal of Machine Learning Research ()  Submitted ; Published The Knowledge Gradient Policy Using A Sparse Additive Belief Model

Journal of Machine Learning Research () Submitted ; Published The Knowledge Gradient Policy Using A Sparse Additive Belief Model

DocID: 1vni7 - View Document

A Robust Additive Multiattribute Preference Model using a Nonparametric Shape-Preserving Perturbation Jian Hu Department of Industrial and Manufacturing System Engineering University of Michigan - Dearborn jianhu@umich.e

A Robust Additive Multiattribute Preference Model using a Nonparametric Shape-Preserving Perturbation Jian Hu Department of Industrial and Manufacturing System Engineering University of Michigan - Dearborn jianhu@umich.e

DocID: 1uHrf - View Document

Additive Polynomials and Their Role in the Model Theory of Valued Fields∗ Franz-Viktor Kuhlmann Dedicated to Mahmood Khoshkam († October 13,

Additive Polynomials and Their Role in the Model Theory of Valued Fields∗ Franz-Viktor Kuhlmann Dedicated to Mahmood Khoshkam († October 13,

DocID: 1t5uk - View Document

University of California, Santa Barbara Department of Statistics and Applied Probability PSTAT 262SP Smoothing Spline Models and Their Applications Course Description: This course is about a particular class of modern no

University of California, Santa Barbara Department of Statistics and Applied Probability PSTAT 262SP Smoothing Spline Models and Their Applications Course Description: This course is about a particular class of modern no

DocID: 1qypB - View Document

Ann Inst Stat Math:827–853 DOIs10463x Smooth backfitting in additive inverse regression Nicolai Bissantz · Holger Dette · Thimo Hildebrandt · Kathrin Bissantz

Ann Inst Stat Math:827–853 DOIs10463x Smooth backfitting in additive inverse regression Nicolai Bissantz · Holger Dette · Thimo Hildebrandt · Kathrin Bissantz

DocID: 1pLad - View Document