This note explains how to choose between log and linear specification. The note emphasizes the economic interpretation of a log model and how to interpret coefficients in a log regression. The note ...

Pantelis Samartsidis, Claudia R. Eickhoff, Simon B. Eickhoff, Tor D. Wager, Lisa Feldman Barrett, Shir Atzil, Timothy D. Johnson, Thomas E. Nichols, Bayesian log-Gaussian Cox process regression, ...

A logarithmic regression, included in Figure 1, was equally valid, with no significant differences between the correlation coefficients or standard errors (s.e.) of the linear and linear/log ...

Regression is a vital tool for estimating investing outcomes based on various inputs. Regression is a vital tool for predicting outcomes in investing and other pursuits. Find out what it means ...

This is a preview. Log in through your library . Abstract This paper discusses the estimation of multiple time series models which allow elements of the spectral density matrix to tend to infinity or ...

As the title “Practical Regression” suggests, these notes are a guide to performing regression in practice. This note explains how to choose between log and linear specification. The note emphasizes ...