This course was created with the
course builder. Create your online course today.
Start now
Create your course
with
Autoplay
Autocomplete
Previous Lesson
Complete and Continue
CS2: Risk Modelling and Survival Analysis (Actuarial Science)
Material and Other resources
CS2 Revision Notes
Y assignments
ActEd Combined Material Pack
CS2 PBOR Files
CS2 Corrections 2019
Details of the material (10:10)
Unit 1: Stochastic Process
Chapter 1: Stochastic Processes (141:45)
Chapter 2: Markov Chains (426:43)
Chapter 3: The two state Model (135:22)
Poisson Model (11:25)
Chapter 4: Time-homogenous Markov Jump Processes (225:11)
Chapter 5: Time-inhomogenous Markov Jump Process (328:40)
Chapter 5.5: Modelling and Simulation of Markov Processes (62:45)
Unit 2: Survival Models
Chapter 6: Survival Models (120:07)
Chapter 7: Estimating Lifetime Distribution functions (Non- parametric models) (110:24)
Chapter 8: Proportional Hazard Models (Semi-parametric models) (151:28)
Chapter 9: Exposed to Risk (180:14)
Chapter 10, 11 Graduation and Statistical tests (253:55)
Chapter 12- Mortality Projection (164:42)
Unit 3: Time Series
Chapter 13, 14: Time Series (527:01)
Unit 4: General Insurance Modelling
Chapter 15: Loss Distributions (80:20)
Chapter 16 Extreme Value Theory (93:58)
Chapter 17: Copulas (102:53)
Chapter 18: Reinsurance (120:08)
Chapter 19-20: Risk Models (265:40)
Machine Learning
Chapter 21: Machine Learning (268:35)
CS2 Corrections 2019
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock