Nature

Gaussian Q-Function and Its Applications in Communication Systems

The Gaussian Q-function is a fundamental statistical tool that plays a pivotal role in the analytical assessment of error probabilities within communication systems ...
JSTOR Daily

Bayesian log-Gaussian Cox process regression: applications to meta-analysis of neuroimaging working memory studies

Pantelis Samartsidis, Claudia R. Eickhoff, Simon B. Eickhoff, Tor D. Wager, Lisa Feldman Barrett, Shir Atzil, Timothy D. Johnson, Thomas E. Nichols Journal of the ...
InfoQ

Bayesian Optimization of Gaussian Processes with Applications to Performance Tuning

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
JSTOR Daily

A MULTI-RESOLUTION MODEL FOR NON-GAUSSIAN RANDOM FIELDS ON A SPHERE WITH APPLICATION TO IONOSPHERIC ELECTROSTATIC POTENTIALS

This is a preview. Log in through your library . Abstract Gaussian random fields have been one of the most popular tools for analyzing spatial data. However, many geophysical and environmental ...
Risk

Gaussian process regression for derivative portfolio modeling and application to credit valuation adjustment computations

Modeling counterparty risk is computationally challenging because it requires the simultaneous evaluation of all trades between each counterparty under both market and credit risk. We present a ...
Risk

Gaussian and Poisson approximation: applications to CDOs tranche pricing

This paper describes a new numerical method, based on Stein’s method and zero bias transformation, of computing collateralized debt obligation (CDO) tranche prices. We propose first-order correction ...