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 …
Mortality forecasting is a critical component of actuarial science, public policy, and social sciences. It helps decision-makers understand and plan for the impact of changing mortality patterns on various aspects of society. One of the most influential methods for mortality forecasting is the Lee-Carter algorithm, developed by Ronald Lee and Lawrence Carter in 1992. The …
Understanding the Lee-Carter Algorithm for Mortality Forecasting Read More »
In today’s fast-paced financial world, businesses require accurate and timely financial forecasting to make informed decisions. Multivariate time series forecasting has become a popular technique in finance to predict future values of multiple variables simultaneously. It is a statistical method that models the behavior of several interdependent variables over time, considering the historical data of …
Using Multivariate Time Series Forecasting with Transformers in Finance Read More »
Introduction In today’s rapidly changing and highly complex world, anomaly detection has become an increasingly important aspect of data science. In many fields, including finance, cybersecurity, and healthcare, the ability to identify unusual patterns in data is crucial for making informed decisions. Multivariate time series anomaly detection, in particular, is a powerful technique for uncovering …
