Conditional Expectation Course
This course teaches conditional expectation through practical applications in Poisson processes, claim severities, deductibles, life tables, and actuarial present values. Students gain skills to compute reliable results and deliver business-ready insights for insurance pricing, reserving, and risk analysis, 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 expertise in conditional expectation for risk and uncertainty via iterated expectation, sigma-fields, Poisson processes, exponential claims, deductibles, life tables, and present values. Includes guided examples, checks, and reporting tips for fast, confident computations and communication.
Elevify advantages
Develop skills
- Master conditional expectation using LOTUS, iterated expectation, and sigma-field methods.
- 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 the 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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