Figure 2.2: Prior, Likelihood and Posterior

Elements of Actuarial Statistics

About this course

This lecture is part of ACS 104 Element of Actuarial Statistics in the Actuarial science department. The course has 11 recorded lectures across 1 series, all free to watch. Read or download the ACS 104 lecture note to study alongside the video.

More lectures in ACS 104

• Elements of Actuarial Statistics
• Independent Events
• Conditional Probability and Bayes' Theorem
• Figure 2.2: Prior, Likelihood and Posterior
• Random Variables and Distributions
• 3.3.1 Expectation: Definition and Calculation
• Moments and their Significance
• Box 4.3: Steps For Deriving Expectations And Variance Using MGFs
• Exploratory Data Analysis and Statistical Modelling
• 5.2.1 Definition of Statistical Models
• Pilot Questions 5.3