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

Regression models are subject to assumptions about the way the data have been collected just like the simple comparisons, if the assumptions are not met then our results may not be valid.

This article ( original research paper) proposes a systematic regression-based fundamental equity valuation model that can potentially be applied in areas such as quantitative finance and machine ...

Robert William Platt, Joseph Austin Christopher Delaney, Samy Suissa, The positivity assumption and marginal structural models: the example of warfarin use and risk of bleeding, European Journal of ...

This article proposes quasi-likelihood equations for median regression models. The quasi-likelihood can be used for dependent observations such as repeated measurements or time series data. To ...

Linear regression is a fundamental statistical method used to model and understand the relationship between different variables. At its heart, it aims to find the best-fitting straight line that ...