JSTOR Daily

Bias-Corrected Confidence Intervals in a Class of Linear Inverse Problems

https://doi.org/10.15609/annaeconstat2009.128.0203 • https://www.jstor.org/stable/10.15609/annaeconstat2009.128.0203 We propose a new method for constructing ...
JSTOR Daily

Group bound: confidence intervals for groups of variables in sparse high dimensional regression without assumptions on the design

This is a preview. Log in through your library . Abstract It is in general challenging to provide confidence intervals for individual variables in high dimensional regression without making strict or ...
Nature

Logistic regression

In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables 1,2. When the dependent variable is categorical, a common ...
Investopedia

Linear vs. Multiple Regression: What's the Difference?

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Thomas J Catalano is a CFP and Registered Investment ...
Investopedia

Nonlinear vs. Linear Regression: Key Differences Explained

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...