This tutorial was hosted by R-Ladies en Argentina. Have you ever encountered text data and suspected there was useful insight latent within it but felt frustrated about how to find that insight? Are ...
Prospector (https://github.com/bd-j/prospector) is an SED modeling code that wraps FSPS stellar modeling and Dynesty dynamical nested Bayesian sampling. It enables ...
Abstract: Data-driven Quality of Experience (QoE) modeling using Machine Learning (ML) is a key enabler for future communication networks as it allows accelerated and unbiased QoE modeling while ...
VAR models are different from univariate autoregressive models because they allow analysis and make predictions on multivariate time series data. Vector autoregression (VAR) is a statistical model for ...
Abstract: In this tutorial brief, we introduce a unified wideband phase-noise theory framework of frequency synthesis based on a multirate timestamp modeling with ...
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