Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...
Abstract: The unscented Kalman filter (UKF) finds extensive application in the state estimation of systems characterized by significant nonlinearity. A constraint of the UKF is its presumption that ...
When is it appropriate to completely reinvent the wheel? To an outsider, that seems to happen a lot in category theory, and probability theory isn’t spared from this treatment. We’ve had a useful ...
Objective To measure sex differences in lifespan based on the probability of males to outlive females. Design International comparison of national and regional sex-specific life tables from the Human ...
With the advance in algorithms, deep reinforcement learning (DRL) offers solutions to trajectory planning under uncertain environments. Different from traditional trajectory planning which requires ...
In this paper, we consider the construction of the approximate profile-likelihood confidence intervals for parameters of the 2-parameter Weibull distribution based on small type-2 censored samples. In ...
Perhaps the most enduring idea from the early days of AI is that of a declarative system reasoning over explicitly represented knowledge with a general inference engine. Such systems require a formal ...
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