The Murdaugh verdict has been a subject of interest in recent times, with a South Carolina jury finding Alex Murdaugh guilty on two counts of first-degree murder and two counts of weapons possession during a violent crime. This article explores the case from a Bayesian perspective, providing insights into how Bayesian reasoning can be applied …
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 »
Introduction Financial forecasting is a critical component of any business’s financial planning. The accuracy of these forecasts is essential for the decision-making process in the financial industry. In recent years, there has been a significant increase in the use of machine learning algorithms to make financial predictions. One such technology is SENet, which is being …
Leveraging SENet for More Accurate Financial Forecasting Read More »
Regression analysis is a widely used statistical tool for predicting a continuous dependent variable based on one or more independent variables. However, traditional regression methods, such as linear and polynomial regression, can be sensitive to outliers and make incorrect predictions if the assumptions of normality and homoscedasticity are violated. To address these limitations, researchers have …
From Outliers to Inliers: Robust Non-Parametric Regression with Median-of-Means Read More »
