Frequentist vs. Bayesian Statistics

In the realm of statistics, two major schools of thought reign supreme: frequentist and Bayesian. These methodologies serve as the backbone of statistical analysis, guiding researchers and practitioners in drawing conclusions from data. However, the debate between frequentist and Bayesian statisticians has persisted for decades, each camp advocating for its own set of principles and techniques. Let's delve into the core tenets of each approach, explore their differences, and consider how they can complement each other in modern data analysis.