In this paper, we describe a variation on local linear regression which can be considered an alternative binning thereof. We show that existing and novel methods are almost indistinguishable.

The paper presents a general strategy for selecting the bandwidth of nonparametric regression estimators and specializes it to local linear regression smoothers. The procedure requires the sample to ...

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Akur8 released today a new research paper for the actuarial community entitled “Credibility and Penalized Regression.” Developed by a senior team of a ...

One useful tool to help us make sense of these kinds of problems is regression. Regression is a statistical method that allows us to look at the relationship between two variables, while holding other ...

Theories that predict u-shaped and inverse u-shaped relationships are ubiquitous throughout the social sciences. This paper develops an algorithm to test for these types of relationships. The ...

This paper investigates the effect of being audited on public entities' subsequent procurement practices in Chile. For identification, we exploit a scoring rule of the national auditing agency, which ...