Conditional Expectation Course
This course builds expertise in conditional expectation through practical applications in Poisson processes, claim severities, deductibles, life tables, and actuarial present values. Participants gain skills to compute reliable results and deliver business-ready insights for insurance pricing, reserving, and risk decisions, supported by step-by-step examples and numeric verification.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain mastery in conditional expectation for managing risk and uncertainty. Explore iterated expectation, sigma-fields, Poisson processes, exponential claims, deductibles, life tables, and present values. Benefit from guided examples, checks, and reporting tips to produce accurate, defensible outcomes swiftly.
Elevify advantages
Develop skills
- Master conditional expectation using LOTUS, iterated conditioning, and sigma-fields.
- Calculate Poisson aggregate losses including E[S], P(N≥1), and conditional metrics.
- Model exponential claim sizes with truncation, deductibles, and excess loss EPV.
- Apply life tables for survival probabilities, curtate lifetime K, and short-horizon EPVs.
- Communicate results clearly with notes, assumptions, and pricing insights.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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