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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Ayman A. Amin

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Open access Sep 2026

Full Bayesian Analysis of ARX Models Under Scale-Mixtures of Normal Errors: An Application to Solar Radiation in Najran, Saudi Arabia

Autoregressive models with exogenous variables (ARX) constitute a fundamental family of time series tools with broad applicability across engineering, environmental science, and finance. A persistent limitation of standard Bayesian treatments is the Gaussian error assumption, which frequently proves inadequate when dea...

Ayman A. Amin, Shuhrah A. Alghamdi · 0 citations
Open access Jul 2026

Bayesian Identification of Double-Seasonal Vector Autoregressive Models

Identifying the autoregressive (AR) orders of a multivariate time series is a foundational step whose accuracy governs every downstream modelling and forecasting task. When the series exhibits two simultaneously operating seasonal periodicities, as is routinely observed in hourly electricity loads and intraday financia...

Ayman A. Amin, F. Almuhayfith · 0 citations
Open access Aug 2026

Bayesian Modeling and Forecasting of Double Seasonal Vector Autoregressive Processes

A wide range of real-world multivariate time series encountered in practice exhibit two simultaneous and interacting seasonal cycles, for example hourly electricity demand, intraday financial prices, and sub-daily traffic volumes. Existing Bayesian frameworks for vector autoregressive (VAR) processes accommodate at mos...

Ayman A. Amin, F. Almuhayfith · 0 citations

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