A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...

Successful investing requires the ability to distinguish long-term trends from the short-term noise that moves stock prices on a minute-to-minute basis. One way to tune out the random oscillations and ...

Consider the regression model Y = h(x)+ε, where h is an unknown smooth regression function and ε is a random error with unknown distribution. To estimate the ...

The Annals of Statistics, Vol. 34, No. 3 (Jun., 2006), pp. 1233-1269 (37 pages) When do nonparametric Bayesian procedures "overfit"? To shed light on this question, we consider a binary regression ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

This article develops five regression models to estimate pipeline construction component costs for different types of pipelines in different regions. Researchers have long used historical pipeline ...