"This book is about a recently developed class of strategies, known as the fence methods, which fits particularly well in non-conventional and complex model selection problems with practical considerations. The idea involves a procedure to isolate a subgroup of what are known as correct models,...

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Bibliographic Details

Main Author:	Jiang, Jiming (Author)
Format:	Electronic eBook
Language:	English
Published:	Singapore World Scientific Publishing Co. Pte Ltd. c2016
Subjects:	Partially ordered sets Group theory Multiple criteria decision making Electronic books
Online Access:	FHN01 Volltext
Summary:	"This book is about a recently developed class of strategies, known as the fence methods, which fits particularly well in non-conventional and complex model selection problems with practical considerations. The idea involves a procedure to isolate a subgroup of what are known as correct models, of which the optimal model is a member. This is accomplished by constructing a statistical fence, or barrier, to carefully eliminate incorrect models. Once the fence is constructed, the optimal model is selected from amongst those within the fence according to a criterion which can be made flexible. In particular, the criterion of optimality can incorporate consideration of practical interest, thus making model selection a real life practice. Furthermore, this book introduces a data-driven approach, called adaptive fence, which can be used in a wide range of problems involving determination of tuning parameters, or constants. Instead of relying on asymptotic theory, the fence focuses on finite-sample performance, and computation. Such features are particularly suitable to statistics in the new era."--
Item Description:	Title from PDF file title page (viewed December 7, 2015)
Physical Description:	1 online resource (xiv, 233 p.) ill. (some col.)
ISBN:	9789814596077 9814596078