The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...
Learn how AI content optimization helps your website get cited by ChatGPT, Perplexity, and Google AI Overviews.
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
Abstract: This article presents a novel deep learning model, the Attentive Bayesian Multi-Stage Forecasting Network (ABMF-Net), designed for robust forecasting of electricity price (USD/MWh) and ...
Abstract: This letter proposes a hierarchical multistate optimization (HMO) method for the microstrip reconfigurable bandpass filter (RBPF). HMO algorithm nests the inner global optimization algorithm ...
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