Gaussian Random Processes

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The book deals mainly with three problems involving Gaussian stationary processes. The first problem consists of clarifying the conditions for mutual absolute c
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This book serves as a standard reference, making this area accessible not only to researchers in probability and statistics, but also to graduate students and p
Gaussian Processes for Machine Learning
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A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machi
Gaussian Random Functions
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It is well known that the normal distribution is the most pleasant, one can even say, an exemplary object in the probability theory. It combines almost all conc
Introduction to Random Processes
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