Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...

The Monthly publishes articles, as well as notes and other features, about mathematics and the profession. Its readers span a broad spectrum of mathematical interests, and include professional ...

CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...

Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be comfortable predicting the future. Using Excel is a great way to perform what ...

In the first part of the course, we will start with an introduction to the Gaussian free field (GFF), which is an object which has been at the heart of some recent groundbreaking developments in ...

This is a preview. Log in through your library . Abstract Let ε₁, ...., εn be independent identically distributed Rademacher random variables, that is ℙ{εi = ±1} = 1/2. Let Sn = a₁ε₁ + ... + anεn, ...

Modelled as Gaussian random variables, these errors lead to progressive misalignments that inevitably lead to collapse," explains the researcher. This problem goes beyond the simple child's game of ...