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Everything about Local regression
Moving average and polynomial regression method for smoothing data
Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression. Its most common methods, initially developed for scatterplot smoothing, are LOESS and LOWESS, both pronounced LOH-ess. They are two strongly related non-parametric regression methods that combine multiple regression models in a k-nearest-neighbor-based meta-model. In some fields, LOESS is known and commonly referred to as Savitzky–Golay filter. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Local regressionA 5-minute orientation
- Skim a recent paper: Coverage error optimal confidence intervals for local polynomial regressionInfluential work since 2022
- Pick up a classic book: Costs of government services in North Dakota countiesThe most-reprinted book on the subject
- Read the landmark paper: Robust Locally Weighted Regression and Smoothing ScatterplotsCited 14,990 times
- Go sideways: Logistic regressionA closely related topic
- Go sideways: Kernel smootherA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Robust Locally Weighted Regression and Smoothing Scatterplots
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
Local Linear Quantile Regression
Regression by local fitting
Computational methods for local regression
Local Regression: Automatic Kernel Carpentry
Local Composite Quantile Regression Smoothing: An Efficient and Safe Alternative to Local Polynomial Regression
Local asymptotics for polynomial spline regression
🆕 Influential since 2022
Coverage error optimal confidence intervals for local polynomial regression
Yaw-adjusted wind power curve modeling: A local regression approach
Local regression distribution estimators
Protecting Regression Models With Personalized Local Differential Privacy
Universal Local Linear Kernel Estimators in Nonparametric Regression
đź“š Books worth reading
- 📕Costs of government services in North Dakota countiesDean A. Bangsund · 1990
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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