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Books Books 1 - 10 of about 45 related to Inference and Prediction in Large Dimensions.    

Linear Processes in Function Spaces: Theory and Applications

Denis Bosq - Mathematics - 2000 - 283 pages
The main subject of this book is the estimation and forecasting of continuous time processes. It leads to a development of the theory of linear processes in function spaces ...
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Mathematical Statistics and Stochastic Processes

Denis Bosq - Mathematics - 2013 - 302 pages
Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the ...
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Time Series: Theory and Methods

Peter J. Brockwell, Richard A. Davis - Business & Economics - 2009 - 584 pages
This paperback edition is a reprint of the 1991 edition. Time Series: Theory and Methods is a systematic account of linear time series models and their application to the ...
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High Dimensional Probability: III

Joergen Hoffmann-Joergensen, Michael B. Marcus, Jon A. Wellner - Mathematics - 2003 - 346 pages
The title High Dimensional Probability is an attempt to describe the many trib utaries of research on Gaussian processes and probability in Banach spaces that started in the ...
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Modes of Parametric Statistical Inference

Seymour Geisser, Wesley O. Johnson - Mathematics - 2006 - 192 pages
A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations of different statistical modes of ...
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Limit Theory for Mixing Dependent Random Variables

Lin Zhengyan, Lu Chuanrong - Mathematics - 1996 - 426 pages
For many practical problems, observations are not independent. In this book, limit behaviour of an important kind of dependent random variables, the so-called mixing random ...
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Weak Dependence: With Examples and Applications: With Examples and Applications

Jérome Dedecker, Paul Doukhan, Gabriel Lang, José Rafael Leon, Sana Louhichi, Clémentine Prieur - Mathematics - 2007 - 336 pages
This monograph is aimed at developing Doukhan/Louhichi's (1999) idea to measure asymptotic independence of a random process. The authors propose various examples of models ...
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Statistical Modeling by Wavelets

Brani Vidakovic - Mathematics - 2009 - 408 pages
A comprehensive, step-by-step introduction to wavelets in statistics. What are wavelets? What makes them increasingly indispensable in statistical nonparametrics? Why are they ...
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Probability and Statistical Inference

Robert Bartoszynski, Magdalena Niewiadomska-Bugaj - Mathematics - 2007 - 672 pages
Now updated in a valuable new edition—this user-friendly book focuses on understanding the "why" of mathematical statistics Probability and Statistical Inference, Second ...
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