TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

WiFi CSI signals encode a rich manifold of environmental and human information: room geometry via multipath reflections, human body configuration via Fresnel zone perturbations, and temporal dynamics ...

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...

Time series modelling involves processing data, analysing it, and applying various tests before developing the model. The ARIMA model consists of Auto-Regressive, Integrated, and Moving Averages ...

Celestial objects exhibit a wide range of variability in brightness at different wavebands. Surprisingly, the most common methods for characterizing time series in statistics—parametric autoregressive ...