Learning paths

Lessons: 12
Topics: 10

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2 lessons

Open path

Loss distributions and reinsurance

1 lesson

Open path

Losses under deductibles and reinsurance

Compound distributions, copulas and extreme values

1 lesson

Open path

Compound distributions and tail dependence

Time series models

1 lesson

Open path

AR, MA and ARMA processes

Fitting and forecasting time series

1 lesson

Open path

Identifying and forecasting a time series

Stochastic processes and Markov chains

1 lesson

Open path

Markov chains and no-claims discounts

Markov jump processes

1 lesson

Open path

Kolmogorov equations for a sickness model

Survival models

1 lesson

Open path

Survival functions and the force of mortality

Estimating lifetime distributions and transition intensities

1 lesson

Open path

Kaplan-Meier and the Cox model

Graduation and mortality projection

1 lesson

Open path

Graduation tests

Machine learning

1 lesson

Open path

Cross-validation and classifier metrics