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CS2: Risk Modeling and Survival Analysis
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Module 2
Continuous-Time Markov Jump Processes
1
Building a Generator Matrix from Transition Rates
Construct the generator matrix for a continuous-time Markov jump process from given transition rates.
2
Holding Time Distributions in Markov Jump Processes
Calculate holding time distributions for each state in a Markov jump process.
3
Kolmogorov Equations in Multi-State Actuarial Models
Set up and solve Kolmogorov's forward and backward equations for multi-state actuarial models.
4
Transition Probabilities from Generator Matrix
Compute transition probabilities from a generator matrix using matrix exponentiation.
5
Expected Present Value of State-Contingent Cash Flows
Define and calculate the expected present value of state-contingent cash flows.
6
Multi-State Insurance: Net Premiums and Policy Reserves
Calculate net premiums and policy reserves for multi-state insurance products using expected present values.
Previous module
Actuarial Applications of Markov Processes
Next module
Time-Inhomogeneous Processes and Survival Models