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Actuarial Mathematics

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Actuarial Mathematics

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Research Frontiers in Multi-State Life Contingencies

Development of continuous-time Markov chain models for complex life contingencies involving multiple health states and transitions.

Non-Markovian Memory Effects in Life State Transitions
Dependence Structures Across Multiple Competing Mortality Risks
Real-Time Estimation of Hidden State Probabilities
Catastrophic Event Cascades in Multi-State Population Models
Behavioral Heterogeneity and State Duration Distributions
Optimal Stopping Rules in Stochastic Life Contingencies
Information Asymmetry in Multi-State Transition Pricing
Regime-Switching Dynamics in Morbidity-Mortality Interactions
Spatial-Temporal Correlation in Competing State Risks
Machine Learning Calibration of Multi-State Force Functions

All Actuarial Mathematics PhD categories