http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
2 volumes (xii, 1192 pages) : illustrations ; 25 cm.
Pt. 1. Computational statistics. How computational statistics became the backbone of modern data science / James E. Gentle, Wolfgang Karl Härdle, Yuichi Mori -- pt. 2. Statistical computing. Basic computational algorithms / John F. Monahan -- Random number generation / Pierre L'Ecuyer -- Markov Chain Monte Carlo technology / Siddhartha Chib -- Numerical linear algebra / Lenka Čížková and Pavel Čížek -- The EM algorithm / Shu Kay Ng, Thriyambakam Krishnan, and Geoffrey J. McLachlan -- Stochastic optimization / James C. Spall -- Transforms in statistics / Brani Vidakovic -- Parallel computing techniques / Junji Nakano -- Statistical databases / Claus Boyens, Oliver Günther, and Hans-J Lenz -- Discovering and visualizing relations in high dimensional data / Alfred Inselberg -- Interactive and dynamic graphics / Jürgen Symanzik -- The grammar of graphics / Leland Wilkinson -- Statistical user interfaces / Sigbert Klinke -- Object oriented computing / Miroslav Virius -- pt. 3. Statistical methodology. Model selection / Yuedong Wang -- Bootstrap and resampling / Enno Mammen and Swagata Nandi -- Design and analysis of Monte Carlo experiments / Jack P.C. Kleijnen -- Multivariate density estimation and visualization / David W. Scott -- Smoothing: local regression techniques / Catherine Loader -- Semiparametric models / Joel L. Horowitz -- Dimension reduction methods / Masahiro Mizuta -- (Non) linear regression modeling / Pavel Čížek -- Generalized linear models / Marlene Müller -- Robust statistics / Laurie Davies and Ursula Gather -- Bayesian computational methods / Christian P. Robert -- Computational methods in survival analysis / Toshinari Kamakura -- Data and knowledge mining / Adalbert Wilhelm -- Recursive partitioning and tree-based methods / Heping Zhang -- Support vector machines / Konrad Rieck ... [et al.] -- Learning under non-stationarity: covariate shift adaptation by importance weighting / Masashi Sugiyama -- Saddlepoint approximations: a review and some new applications / Simon a Broda and Marc S. Paolella -- Bagging, boosting and ensemble methods / Peter Bühlmann -- pt. 4. Selected applications. Heavy-tailed distributions in VaR calculations / Adam Misiorek and Rafał Weron -- Econometrics / Luc Bauwens and Jeroen V.K. Rombouts -- Statistical and computational geometry of biomolecular structure / Iosif I. Vaisman -- Functional magnetic resonance imaging / William F. Eddy and Rebecca L. McNamee -- Network intrusion detection / David J. Marchette -- Index.
James E. Gentle, Wolfgang Härdle, Yuichi Mori, editors.
Includes bibliographical references and index.
Springer handbooks of computational statistics