Abstract
High-dimensional statistics refers to statistical inference when the number of unknown parameters is of much larger order than sample size. We present some introductory motivation and a rough picture about high-dimensional statistics.
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© 2011 Springer-Verlag Berlin Heidelberg
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Bühlmann, P., van de Geer, S. (2011). Introduction. In: Statistics for High-Dimensional Data. Springer Series in Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20192-9_1
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DOI: https://doi.org/10.1007/978-3-642-20192-9_1
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20191-2
Online ISBN: 978-3-642-20192-9
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