Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

We present a regression technique for data-driven problems based on polynomial chaos
expansion (PCE). PCE is a popular technique in the field of uncertainty quantification (UQ) …

Abstract Systems subject to uncertain inputs produce uncertain responses. Uncertainty
quantification (UQ) deals with the estimation of statistics of the system response, given a …

This paper examines the connectedness between cryptocurrencies and major fiat currencies
in a multivariate framework using vine copulas. One of the advantages of this method is the …

Multiple dangerous sites often coexist in complex structures like aircraft turbine rotors, and
its failure-correlated reliability evaluation usually occurs the thorny problems of high-efficacy …

In nonlife insurance, insurers use experience rating to adjust premiums to reflect
policyholders' previous claim experience. Performing prospective experience rating can be …

The majority of finite mixture models suffer from not allowing asymmetric tail dependencies
within components and not capturing non-elliptical clusters in clustering applications. Since …

Credit scoring models for non-traditional lending channels, such as peer-to-peer (P2P)
lending platforms, are usually estimated only on the sample of accepted applicants. This …

This paper features an application of Regular Vine copulas which are a novel and recently
developed statistical and mathematical tool which can be applied in the assessment of …

Investigating the marginal causal effect of an intervention on an outcome from complex data
remains challenging due to the inflexibility of employed models and the lack of complexity in …