SOA Exam P : Initial Study Reference
The reference I built to prepare for Exam P. Covers general probability, random variables, and multivariate distributions, each topic with actuarial intuition, not just formulas. Includes solved problems with analysis of why the distractors mislead.
Download material
Related notes
Eve's Law and Total Variance
Bridge document connecting Adam's Law, Eve's Law, mixed distributions (Poisson-Gamma, mixed exponential), and compound distributions. Includes SOA-style solved problems with analysis of why each distractor fails. The piece that links conditional variance to credibility theory.
GLM for Actuarial Models
From theory to production: how insurers actually estimate claim frequency, severity, and policy lapse. This note walks from exponential families and link functions through validation with ROC curves, Gini coefficients, and relativity tables. Three full case studies: auto, life, and workers' comp. Personal actuarial synthesis note.