About this class
Mathematics for Actuaries II
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Learning Material
Title
Volume
Stochastic Processes: Introduction to random variables, probability distributions, Markov chains, and Poisson processes.
5.89 MB
<p>Stochastic Processes: Introduction to random variables, probability distributions, Markov chains, and Poisson processes.</p>
Survival Models: Study of life tables, probability of death, curtate and complete expectation of life, and applications in insurance.
5.89 MB
<p>Survival Models: Study of life tables, probability of death, curtate and complete expectation of life, and applications in insurance.</p>
Credibility Theory: Introduction to credibility theory, Bühlmann credibility, Bayesian credibility, and applications in risk assessment.
5.89 MB
<p>Credibility Theory: Introduction to credibility theory, Bühlmann credibility, Bayesian credibility, and applications in risk assessment.</p>
Risk Theory: Concepts of risk measures, risk aggregation, ruin theory, and the calculation of surplus in insurance.
5.89 MB
<p>Risk Theory: Concepts of risk measures, risk aggregation, ruin theory, and the calculation of surplus in insurance.</p>
Reserving Methods: Methods for estimating reserves in insurance, including chain ladder, Bornhuetter-Ferguson, and stochastic reserving.
5.89 MB
<p>Reserving Methods: Methods for estimating reserves in insurance, including chain ladder, Bornhuetter-Ferguson, and stochastic reserving.</p>
Investment and Asset-Liability Management: Analysis of investment strategies, portfolio management, and the integration of investments with insurance liabilities.
5.89 MB
<p>Investment and Asset-Liability Management: Analysis of investment strategies, portfolio management, and the integration of investments with insurance liabilities.</p>
Generalized Linear Models (GLMs): Introduction to GLMs and their applications in actuarial science, including pricing and modeling.
5.89 MB
<p>Generalized Linear Models (GLMs): Introduction to GLMs and their applications in actuarial science, including pricing and modeling.</p>
Loss Models: Study of frequency and severity models, compound Poisson processes, and the calculation of aggregate claims distributions.
5.89 MB
<p>Loss Models: Study of frequency and severity models, compound Poisson processes, and the calculation of aggregate claims distributions.</p>
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