Learn what heteroscedasticity means, its types, and how it affects financial models. Understand the intricacies of volatility ...

These estimates can be used to improve the estimation of the regression function g itself in parametric and nonparametric models. Further applications are suggested. The Annals of Statistics publishes ...

Asymptotically, this problem can be rectified with the use of a heteroscedasticity-consistent covariance matrix (HCCM) estimator. However, many HCCM estimators do not perform well when the sample size ...

As the title “Practical Regression” suggests, these notes are a guide to performing regression in practice. This note begins by describing the problems that arise when variables are measured with ...

Beta regression offers a robust framework for analysing data that are confined to the unit interval, enabling researchers to model proportions, probabilities, and other fractional outcomes with ...