Your Gateway to Financial Literacy
Introduction to Bayesian Statistics and Posterior Probability Posterior probability, which is an integral component of Bayesian statistics, represents the revised or updated likelihood of a hypothesis, event, or belief in light of new information. The posterior probability calculation is based on Bayes’ theorem, which enables the incorporation of prior knowledge
Read more
Introduction to Conditional Probability Conditional probability, which can also be described as conditional likelihood, is a fundamental concept in mathematics and statistics that deals with the occurrence of events or outcomes under specific conditions. In finance and investment, this concept plays an essential role in risk assessment, portfolio management, statistical
Read more
Introduction to Bayes’ Theorem Bayes’ theorem, named after British statistician Thomas Bayes, is a fundamental concept in probability theory with far-reaching implications for finance and investing. This theorem provides an effective framework to calculate conditional probabilities, or the likelihood of an event occurring given that another event has taken place.
Read more