By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

Abstract: We present a new framework for learning high-dimensional multivariate probability distributions from estimated marginals. The approach is motivated by compositional models and Bayesian ...

Biometrika is primarily a journal of statistics in which emphasis is placed on papers containing original theoretical contributions of direct or potential value in applications. From time to time, ...

Abstract: Increasingly complex data analysis tasks motivate the study of the dependency of distributions of multivariate continuous random variables on scalar or vector predictors. Statistical ...

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data ...

Private foundations contribute a staggering $105.21 billion to public charities annually, representing $1 out of every $5 donated. Internal Revenue Code Section 4942 requires private nonoperating PFs ...

This repository contains parts of the implementation code for the projects 'Structured Uncertainty Prediction Networks' (CVPR 2018) and 'Training VAEs Under Structured Residuals' (arxiv 2018). This ...