Abstract: This paper proposes a Gaussian distributed graph constrained multi-modal Gaussian process latent variable model for ordinal labeled data. Rating data that are used in various real-world ...

Gaussian curves, normal curves and bell curves are synonymous. Each represents how statistical data with normal distribution plots on a graph. Normal distribution describes a particular way statistics ...

Gaussian Processes: A Complete Guide Over the past week, I’ve dedicated nearly 2 hours each day to deeply understand Gaussian Processes (GPs) — not just how to apply them, but to build an intuitive ...

Random Matrix Theory (RMT) has emerged as an indispensable framework for understanding the statistical properties of matrices whose entries are determined by probabilistic processes. Initially ...

Random analytic functions are a fundamental object of study in modern complex analysis and probability theory. These functions, often defined through power series with random coefficients, exhibit ...