Quantile regression is an advanced statistical technique that has gained significant attention in finance due to its ability to estimate conditional quantiles. While linear regression is widely used to model the relationship between two variables, it assumes a linear relationship between the dependent variable and the predictors. However, this assumption may not hold in many …
Unveiling Asymmetric Quantile Regression in Finance Read More »
Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, and presentation of data. The Central Limit Theorem (CLT) is a fundamental concept in statistics that underpins many statistical methods and analyses. It is a powerful tool for analyzing large datasets and predicting outcomes based on limited information. The CLT states that …
Introduction In recent years, the amount of data collected in various fields has grown rapidly, and machine learning algorithms have become increasingly popular for analyzing such data. However, a common issue faced when working with large datasets is class imbalance, where one class in the target variable is greatly outnumbered by the other. This imbalance …
