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

RES.6-012, RES.6, probability, probability models, bayes rule, discrete random variables, continuous random variables, bernoulli process, poisson process, markov chains, central limit theorem, ...

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Abstract: This paper discusses the stability of discrete-time networked control systems (NCSs) over a communication network whose packet-loss process is modeled as a Bernoulli model and packet ...

Edited by Thomas C. Südhof, Stanford University School of Medicine, Stanford, CA, and approved August 15, 2016 (received for review March 31, 2016) ...

Abstract: This letter proposes a novel online active fault diagnosis (AFD) method based on invariant sets for linear time-invariant (LTI) systems with bounded disturbances and noises. In general, the ...

What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...