Both types of series can still be seasonally adjusted using the same seasonal adjustment process. Seasonal adjustment is the process of estimating and then removing from a time series influences that ...

leading the Denver Nuggets past the top-seeded Oklahoma City Thunder 113-104 in overtime Friday night for a 2-1 lead in the Western Conference semifinal series. Nikola Jokic added 20 points and 16 ...

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally ... Data preprocessing is a ...

Hence, a time series based on the number of packets is built and normalized using a Box-Cox transformation ... Simulation results show that the proposed algorithm can accurately classify 99.5% of ...

Abstract: This letter studies the identification of a typical nonlinear time-series model, i.e., the exponential autoregressive ... Moreover, a multi-innovation identification algorithm is proposed to ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...