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Health insurance companies wish to understand themain drivers behind changes in their costs to enable targeted and proactive management of their operations. This paper presents a comprehensive approach to cost change attribution that encompasses a range of factors represented in insurance transaction data, including medical procedures, healthcare provider characteristics, patient features, and geographic...
Signals in response to time-localized events of a common phenomenon tend to exhibit a common shape, but with variable time scale, amplitude, and delay across trials in many domains. We develop a new formulation to learn the common shape and variables from noisy signal samples with a Bayesian signal model and a Markov chain Monte Carlo inference scheme involving Gibbs sampling and independent Metropolis-Hastings...
A very popular method utilized in quantifying the benefit of power delivery service reliability is to estimate the customer monetary losses associated with power supply interruptions by collecting data with customer surveys. MidAmerican Energy Company, a Midwest utility, recently performed surveys of its customers in the residential, commercial, industrial, and company/organization sectors. This paper...
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