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Publicado por Logos Verlag Berlin, 2004
ISBN 10: 3832506616ISBN 13: 9783832506612
Librería: ISD LLC, Bristol, CT, Estados Unidos de America
Libro
paperback. Condición: New.
Publicado por Logos Verlag, 2004
ISBN 10: 3832506616ISBN 13: 9783832506612
Librería: booksXpress, Bayonne, NJ, Estados Unidos de America
Libro
Soft Cover. Condición: new.
Publicado por Cambridge University Press, 2013
ISBN 10: 0521887933ISBN 13: 9780521887939
Librería: Brook Bookstore, Milano, MI, Italia
Libro
Condición: new.
Publicado por Logos Verlag Berlin, 2004
ISBN 10: 3832506616ISBN 13: 9783832506612
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Libro
Condición: New.
Publicado por Logos Verlag Berlin, 2004
ISBN 10: 3832506616ISBN 13: 9783832506612
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
Libro
Condición: New.
Publicado por Logos Verlag Berlin GmbH, Berlin, 2004
ISBN 10: 3832506616ISBN 13: 9783832506612
Librería: CitiRetail, Stevenage, Reino Unido
Libro
Paperback. Condición: new. Paperback. In regression the objective is to determine an appropriate function which reflects reality as accurate as possible but also eliminates irregularities from data noise and is therefore easy to interpret. A popular and flexible approach for estimating the true underlying function is the additive model. One possible approach for fitting additive models is the expansion in B-splines which allows direct calculation of the estimators. If the number of B-splines is too large the estimated functions become wiggly and tend to be very close to the observed data. To avoid this problem of overfitting we use a penalization approach characterized by smoothing parameters. In this thesis we propose the use of genetic algorithms for smoothing parameter optimization. Genetic algorithms are rarely applied in the field of statistics and refer to the principle that better adapted individuals win against their competitors under equal conditions. Apart from smoothing parameter optimization the user often faces datasets containing large numbers of relevant and irrelevant explanatory variables.Appropriate variable selection approaches allow to reduce the number of variables to subsets of relevant variables. We propose to consider the problems of variable selection and choice of smoothing parameters simultaneously by using genetic algorithms. Our approach bases on an appropriate combination of the genetic algorithms for smoothing parameter optimization and variable selection. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Cambridge University Press, 2013
ISBN 10: 0521887933ISBN 13: 9780521887939
Librería: GF Books, Inc., Hawthorne, CA, Estados Unidos de America
Libro
Condición: New. Book is in NEW condition.
Publicado por Springer, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: GF Books, Inc., Hawthorne, CA, Estados Unidos de America
Libro
Condición: New. Book is in NEW condition.
Publicado por Springer, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: booksXpress, Bayonne, NJ, Estados Unidos de America
Libro
Soft Cover. Condición: new.
Publicado por Springer, 2016
ISBN 10: 3319270974ISBN 13: 9783319270975
Librería: booksXpress, Bayonne, NJ, Estados Unidos de America
Libro Impresión bajo demanda
Hardcover. Condición: new. This item is printed on demand.
Publicado por Springer, 2016
ISBN 10: 3319270974ISBN 13: 9783319270975
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Libro
Condición: New.
Publicado por Springer, 2016
ISBN 10: 3319270974ISBN 13: 9783319270975
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Libro Impresión bajo demanda
Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por Springer, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Libro Impresión bajo demanda
Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por Cambridge University Press, 2013
ISBN 10: 0521887933ISBN 13: 9780521887939
Librería: GoldBooks, Denver, CO, Estados Unidos de America
Libro
Hardcover. Condición: very good. Very Good Copy. Customer Service Guaranteed.
Publicado por Springer, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: GF Books, Inc., Hawthorne, CA, Estados Unidos de America
Libro
Condición: Very Good. Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting.
Publicado por Springer, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: GF Books, Inc., Hawthorne, CA, Estados Unidos de America
Libro
Condición: Fine. Book is in Used-LikeNew condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear.
Publicado por Springer, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: Books Unplugged, Amherst, NY, Estados Unidos de America
Libro
Condición: Good. Buy with confidence! Book is in good condition with minor wear to the pages, binding, and minor marks within.
Publicado por Springer, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: Book Deals, Tucson, AZ, Estados Unidos de America
Libro
Condición: New. New! This book is in the same immaculate condition as when it was published.
Publicado por Springer, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: Book Deals, Tucson, AZ, Estados Unidos de America
Libro
Condición: Fine. Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages.
Publicado por Springer, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: Book Deals, Tucson, AZ, Estados Unidos de America
Libro
Condición: Very Good. Very Good condition. Shows only minor signs of wear, and very minimal markings inside (if any).
Publicado por Springer International Publishing Feb 2016, 2016
ISBN 10: 3319270974ISBN 13: 9783319270975
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Libro Impresión bajo demanda
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book features research contributions fromThe Abel Symposium on Statistical Analysis for High Dimensional Data, held inNyvågar, Lofoten, Norway, in May 2014.The focus of the symposium was on statisticaland machine learning methodologies specifically developed for inference in 'bigdata' situations, with particular reference to genomic applications. Thecontributors, who are among the most prominent researchers on the theory ofstatistics for high dimensional inference, present new theories and methods, aswell as challenging applications and computational solutions. Specific themesinclude, among others, variable selection and screening, penalised regressionsparsity, thresholding, low dimensional structures, computational challengesnon-convex situations, learning graphical models, sparse covariance andprecision matrices, semi- and non-parametric formulations, multiple testingclassification, factor models, clustering, and preselection.Highlighting cutting-edge researchand casting light on future research directions, the contributions will benefitgraduate students and researchers in computational biology, statistics and themachine learning community. 320 pp. Englisch.
Publicado por Springer International Publishing Mrz 2018, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Libro Impresión bajo demanda
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book features research contributions fromThe Abel Symposium on Statistical Analysis for High Dimensional Data, held inNyvågar, Lofoten, Norway, in May 2014.The focus of the symposium was on statisticaland machine learning methodologies specifically developed for inference in 'bigdata' situations, with particular reference to genomic applications. Thecontributors, who are among the most prominent researchers on the theory ofstatistics for high dimensional inference, present new theories and methods, aswell as challenging applications and computational solutions. Specific themesinclude, among others, variable selection and screening, penalised regression,sparsity, thresholding, low dimensional structures, computational challenges,non-convex situations, learning graphical models, sparse covariance andprecision matrices, semi- and non-parametric formulations, multiple testing,classification, factor models, clustering, and preselection.Highlighting cutting-edge researchand casting light on future research directions, the contributions will benefitgraduate students and researchers in computational biology, statistics and themachine learning community. 320 pp. Englisch.
Publicado por Springer International Publishing, 2016
ISBN 10: 3319270974ISBN 13: 9783319270975
Librería: moluna, Greven, Alemania
Libro
Condición: New.
Publicado por Springer International Publishing, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: moluna, Greven, Alemania
Libro
Condición: New.
Publicado por Springer International Publishing, 2016
ISBN 10: 3319270974ISBN 13: 9783319270975
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book features research contributions fromThe Abel Symposium on Statistical Analysis for High Dimensional Data, held inNyvågar, Lofoten, Norway, in May 2014.The focus of the symposium was on statisticaland machine learning methodologies specifically developed for inference in 'bigdata' situations, with particular reference to genomic applications. Thecontributors, who are among the most prominent researchers on the theory ofstatistics for high dimensional inference, present new theories and methods, aswell as challenging applications and computational solutions. Specific themesinclude, among others, variable selection and screening, penalised regression,sparsity, thresholding, low dimensional structures, computational challenges,non-convex situations, learning graphical models, sparse covariance andprecision matrices, semi- and non-parametric formulations, multiple testing,classification, factor models, clustering, and preselection.Highlighting cutting-edge researchand casting light on future research directions, the contributions will benefitgraduate students and researchers in computational biology, statistics and themachine learning community.
Publicado por Springer International Publishing, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book features research contributions fromThe Abel Symposium on Statistical Analysis for High Dimensional Data, held inNyvågar, Lofoten, Norway, in May 2014.The focus of the symposium was on statisticaland machine learning methodologies specifically developed for inference in 'bigdata' situations, with particular reference to genomic applications. Thecontributors, who are among the most prominent researchers on the theory ofstatistics for high dimensional inference, present new theories and methods, aswell as challenging applications and computational solutions. Specific themesinclude, among others, variable selection and screening, penalised regression,sparsity, thresholding, low dimensional structures, computational challenges,non-convex situations, learning graphical models, sparse covariance andprecision matrices, semi- and non-parametric formulations, multiple testing,classification, factor models, clustering, and preselection.Highlighting cutting-edge researchand casting light on future research directions, the contributions will benefitgraduate students and researchers in computational biology, statistics and themachine learning community.
Publicado por Cambridge University Press, 2013
ISBN 10: 0521887933ISBN 13: 9780521887939
Librería: Wizard Books, Long Beach, CA, Estados Unidos de America
Libro
Hardcover. Condición: new. New.
Publicado por Springer, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: Books Puddle, New York, NY, Estados Unidos de America
Libro
Condición: New. pp. 318.
Publicado por Springer, 2016
ISBN 10: 3319270974ISBN 13: 9783319270975
Librería: Books Puddle, New York, NY, Estados Unidos de America
Libro
Condición: New. pp. 294.
Publicado por Springer, 2018
ISBN 10: 3319800736ISBN 13: 9783319800738
Librería: Mispah books, Redhill, SURRE, Reino Unido
Libro
Paperback. Condición: New. New. book.