ISBN: 9781071641316 - statistical modeling and computation (springer texts in statistics) (2 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer, 2025

    107164131X / 9781071641316

    Serie: Buch 106 von 111 - Springer Texts in Statistics

    • Softcover

    Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes KönigreichWorldofBooks

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    EUR 114,89

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    Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

  • Sprache: Englisch

    Verlag: Springer, 2025

    107164131X / 9781071641316

    Serie: Buch 106 von 111 - Springer Texts in Statistics

    • Hardcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, Statistical Modeling and Computation, provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of mathematical statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications.The 2nd edition changes the programming language used in the text from MATLAB to Julia. For all examples with computing components, the authors provide data sets and their own Julia codes. The new edition features numerous full color graphics to illustrate the concepts discussed in the text, and adds three entirely new chapters on a variety of popular topics, including:Regularization and the Lasso regressionBayesian shrinkage methodsNonparametric statistical testsSplines and the Gaussian process regressionJoshua C. C. Chanis Professor of Economics,andholds the endowed Olson Chair at Purdue University. He is an elected fellow at the International Association for Applied Econometricsandserved as Chair for the Economics, FinanceandBusiness Section of the International Society for Bayesian Analysis from 2020-2022. His research focuses on building new high-dimensional time-series modelsanddeveloping efficient estimation methods for these models. He has published over 50 papers in peer-reviewed journals, including some top-field journals such asJournal of Econometrics,Journal of the AmericanStatisticalAssociationandJournal of BusinessandEconomic Statistics.Dirk Kroese is Professor of Mathematics and Statistics at the University of Queensland. He is known for his significant contributions to the fields of applied probability, mathematical statistics, machine learning, and Monte Carlo methods. He has published over 140 articles and 7 books. He is a pioneer of the well-known Cross-Entropy (CE) method, which is being used around the world to help solve difficult estimation and optimization problems in science, engineering, and finance. In addition to his scholarly contributions, Dirk Kroese is recognized for his role as an educator and mentor, having supervised and inspired numerous students and researchers.…