Learn · Probability Theory with Actuarial Applications
Lecture 55 of 60Week 11
W11_L5_Week 11 Review & Capstone Drills
Prof. Neelesh S. Upadhye · IIT Madras
Credits and licence
- From
- Probability Theory with Actuarial Applications, IIT Madras (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- Tweens profiles and older. How courses are placed
All the lectures
- W1_L1_The Language of Risk
- W1_L2_The Art of Counting Combinatorics
- W1_L3_Updating Beliefs Conditional Probability
- W1_L4_Bayes' Theorem The Update Tool
- W1_L5_Independence The Free Pass
- W2_L1_From Events to Numbers (Discrete RVs & PMF)
- W2_L2_The Continuous World (Continuous RVs & PDF)
- W2_L3_The "Grand Unifier'' (Cumulative Distribution Function)
- W2_L4_The "Center of Gravity'' (Expected Value)
- W2_L5_Functions of an RV (The Actuarial Toolkit)
- W3_L1_The "Yes/No'' World (Bernoulli & Binomial)
- W3_L2_The "Claim Count'' Model (Poisson)
- W3_L3_The "Waiting Time'' Model (Exponential)
- W3_L4_The "Flexible'' Model (Gamma)
- W3_L5_The "Everywhere" Model (Normal Distribution)
- W4_L1_Joint Distributions (Discrete PMF)
- W4_L2_Joint Distributions (Continuous PDF)
- W4_L3_Independence & Conditional Distributions
- W4_L4_Covariance (Measuring Linear Relationship)
- W4_L5_Correlation & Variance of Sums
- W5_L1_The "1D'' Transformation (The CDF Method)
- W5_L2_The "1D'' Shortcut (Change of Variable)
- W5_L3_The "2D'' Transformation (The Jacobian Method)
- W5_L4_The "Aggregate Loss'' Transformation (Convolution)
- W5_L5_The "Extreme Loss'' (Order Statistics)
- W6_L1_Conditional Expectation
- W6_L2_The "Tower Property'' (Law of Total Expectation)
- W6_L3_The Law of Total Variance (Eve's Law)
- W6_L4_Conditioning Drills (Mixed Distributions)
- W6_L5_Review (Compound vs. Mixed Models)
- W7_L1_The "Magic Tool'' (Moment-Generating Function)
- W7_L2_The MGF "Lookup Table''
- W7_L3_The "Payoff'' (MGF of Independent Sums)
- W7_L4_Advanced Tools (CGFs & Compound Sum MGF)
- W7_L5_Week 7 Review & Capstone Drill)
- W8_L1_The Problem of "Tails" (Why We Need Bounds)
- W8_L2_The "Better'' Bound (Chebyshev's Inequality)
- W8_L3_The Law of Large Numbers (LLN)
- W8_L4_Other Inequalities (One-Sided Chebyshev & Jensen's)
- W8_L5_Week 8 Review & Drills
- W9_L1_The Central Limit Theorem (CLT)
- W9_L2_CLT Drills (Aggregate Loss Problems)
- W9_L3_The Continuity Correction
- W9_L4_Capstone Drill (CLT for Aggregate Losses)
- W9_L5_The Approximation ``Decision Tree''
- W10_L1_The "Language'' of Insurance Models
- W10_L2_Policy Feature 1 (Deductibles)
- W10_L3_Policy Feature 2 (Policy Limits)
- W10_L4_Capstone (Pricing a ``Policy Layer'')
- W10_L5_Review & Introduction to Stop-Loss
- W11_L1_The "Master Formula" for Expected Aggregate Loss
- W11_L2_The "Master Algorithm" for Var(S)
- W11_L3_Finding Severity Moments E[Y^2] and Var(Y)
- W11_L4_The "Master Algorithm'' Drill
- W11_L5_Week 11 Review & Capstone Drills
- W12_L1_''The Big Picture'' Review (Part 1: The Toolkit)
- W12_L2_''The Big Picture'' Review (Part 2: The Models)
- W12_L3_Mock Exam Review (Part 1: Q1--10)
- W12_L4_Mock Exam Review (Part 2: Q11--20)
- W12_L5_Mock Exam Review (Part 3: Q21--30)