Financial advisors need to look beyond averages when analyzing private investments to understand the full performance picture ...

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

Abstract: This paper investigates the remote state estimation problem over a bandwidth-limited channel. To improve the estimation quality, an event-based schedule is proposed to determine whether to ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Global megadune distributions remain poorly characterized, with their formation mechanisms still debated. This study summarizes megadune distribution patterns at a global scale and finds that ...

Where \(X\) is a normally distributed random variable with mean \(\mu\) and standard deviation \(\sigma\). The peak of the curve occurs at \(x=\mu\), and the spread ...

“One Guinness, please!” a customer says to a barkeep, who flips a branded pint glass and catches it under the tap. The barkeep begins a multistep pour process lasting precisely 119.5 seconds, which, ...

The proposed method estimates the per-pixel surface normal probability distribution, from which the expected angular error can be inferred to quantify the aleatoric ...

Abstract: In this letter, we discuss the multivariate Laplace probability model in the context of a normal variance mixture model. We briefly review the derivation of the probability density function ...