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Statistical Causal Discovery: LiNGAM Approach (Paperback, 1st ed. 2022)
Loot Price: R1,371
Discovery Miles 13 710
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Statistical Causal Discovery: LiNGAM Approach (Paperback, 1st ed. 2022)
Series: SpringerBriefs in Statistics
Expected to ship within 10 - 15 working days
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This is the first book to provide a comprehensive introduction to a
new semiparametric causal discovery approach known as LiNGAM, with
the fundamental background needed to understand it. It offers a
general overview of the basics of the LiNGAM approach for causal
discovery, estimation principles, and algorithms. This
semiparametric approach is one of the most exciting new topics in
the field of causal discovery. The new framework assumes parametric
assumptions on the functional forms of structural equations but
makes no assumption on the distributions of exogenous variables
other than non-Gaussianity. It provides data-analysis tools capable
of estimating a much wider class of causal relations even in the
presence of hidden common causes. This feature is in contrast to
conventional nonparametric approaches based on conditional
independence of variables. This book is highly recommended to
readers who seek an in-depth and up-to-date overview of this new
causal discovery approach to advance the technique as well as to
those who are interested in applying this approach to real-world
problems. This LiNGAM approach should become a standard item in the
toolbox of statisticians, machine learners, and practitioners who
need to perform observational studies.
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