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Stochastic Processes - Inference Theory (Hardcover, 2nd ed. 2014)
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Stochastic Processes - Inference Theory (Hardcover, 2nd ed. 2014)
Series: Springer Monographs in Mathematics
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This is the revised and enlarged 2nd edition of the authors'
original text, which was intended to be a modest complement to
Grenander's fundamental memoir on stochastic processes and related
inference theory. The present volume gives a substantial account of
regression analysis, both for stochastic processes and measures,
and includes recent material on Ridge regression with some
unexpected applications, for example in econometrics. The first
three chapters can be used for a quarter or semester graduate
course on inference on stochastic processes. The remaining chapters
provide more advanced material on stochastic analysis suitable for
graduate seminars and discussions, leading to dissertation or
research work. In general, the book will be of interest to
researchers in probability theory, mathematical statistics and
electrical and information theory.
General
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