II. Probabilistic Programming: Survival Analysis

Introduction This is a second article in the series of Probabilistic Programming for Actuarial Science. The first article introduced the Bayesian approach to inferring risk rates and predicting future claims in an actuarial context and built a practical model in Greta, a probabilistic programming language, to conduct the analysis. In a beta binomial model, a …

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I. Probabilistic Programming for Actuarial Science

Introduction A core task of actuarial analysis is estimation of risk rates for insured events. This includes analyses such as estimating mortality rates, lapse rates, incidence rates, termination rates and so on. In addition to determining best estimates for risk rates, understanding the uncertainty around the best estimates is a critical component of the overall …

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Life Expectancies in the US Worsen (but with some bright spots)

The CDC has just published its new set of reports analyzing the trends in mortality and life expectancy from 2016 to 2017. Unfortunately, there has been a decline in overall life expectancies in the US.  Sources of mortality that have shown statistically significant increases in mortality are (from highest to lowest impact): Uninentional Injuries Influenza …

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The Effect of the First Presidential Debate

October 1, 2016 Probability of Clinton Win:  88% | Probability of Trump Win:  12% Clinton – Trump Spread:  4.4% There has been a clear and substantial swing in voter sentiment towards Clinton following the first presidential debate. Trump compounded the effect of the debate by a bad follow up week.  Most of the polls were conducted before …

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