{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T15:25:52Z","timestamp":1759937152412,"version":"3.33.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2007,10,20]],"date-time":"2007-10-20T00:00:00Z","timestamp":1192838400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Stat Comput"],"published-print":{"date-parts":[[2008,3]]},"DOI":"10.1007\/s11222-007-9040-0","type":"journal-article","created":{"date-parts":[[2007,10,19]],"date-time":"2007-10-19T13:30:04Z","timestamp":1192800604000},"page":"87-99","source":"Crossref","is-referenced-by-count":28,"title":["A comparison of methods for the fitting of generalized additive models"],"prefix":"10.1007","volume":"18","author":[{"given":"Harald","family":"Binder","sequence":"first","affiliation":[]},{"given":"Gerhard","family":"Tutz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2007,10,20]]},"reference":[{"key":"9040_CR1","unstructured":"Binder, H., Tutz, G.: Fitting generalized additive models: a comparison of methods. FDM-Preprint 93, University of Freiburg (2006)"},{"key":"9040_CR2","doi-asserted-by":"crossref","first-page":"1493","DOI":"10.1162\/089976699300016106","volume":"11","author":"L. Breiman","year":"1999","unstructured":"Breiman, L.: Prediction games and arcing algorithms. Neural Comput. 11, 1493\u20131517 (1999)","journal-title":"Neural Comput."},{"key":"9040_CR3","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1198\/016214503000125","volume":"98","author":"P. B\u00fchlmann","year":"2003","unstructured":"B\u00fchlmann, P., Yu, B.: Boosting with the L2 loss: regression and classification. J. Am. Stat. Assoc. 98, 324\u2013339 (2003)","journal-title":"J. Am. Stat. Assoc."},{"key":"9040_CR4","volume-title":"Statistical Models in S","author":"J.M. Chambers","year":"1992","unstructured":"Chambers, J.M., Hastie, T.J.: Statistical Models in S. Wadsworth, Pacific Grove (1992)"},{"key":"9040_CR5","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"J.H. Friedman","year":"2001","unstructured":"Friedman, J.H.: Greedy function approximation: a gradient boosting machine. Ann. Stat. 29, 1189\u20131232 (2001)","journal-title":"Ann. Stat."},{"key":"9040_CR6","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1080\/01621459.1981.10477729","volume":"76","author":"J.H. Friedman","year":"1981","unstructured":"Friedman, J.H., Stuetzle, W.: Projection pursuit regression. J. Am. Stat. Assoc. 76, 817\u2013823 (1981)","journal-title":"J. Am. Stat. Assoc."},{"issue":"1","key":"9040_CR7","first-page":"102","volume":"32","author":"J. Friedman","year":"2004","unstructured":"Friedman, J., Hastie, T., Rosset, S., Tibshirani, R., Zhu, J.: Statistical behavior and consistency of classification methods based on convex risk minimization: discussion of the paper by T. Zhang. Ann. Stat. 32(1), 102\u2013107 (2004)","journal-title":"Ann. Stat."},{"key":"9040_CR8","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4899-4473-3","volume-title":"Nonparametric Regression and Generalized Linear Models","author":"P.J. Green","year":"1994","unstructured":"Green, P.J., Silverman, B.W.: Nonparametric Regression and Generalized Linear Models. Chapman & Hall, London (1994)"},{"issue":"1","key":"9040_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1214\/088342306000000060","volume":"21","author":"D.J. Hand","year":"2006","unstructured":"Hand, D.J.: Classifier technology and the illusion of progress. Stat. Sci. 21(1), 1\u201314 (2006)","journal-title":"Stat. Sci."},{"key":"9040_CR10","first-page":"295","volume":"1","author":"T. Hastie","year":"1986","unstructured":"Hastie, T., Tibshirani, R.: Generalized additive models. Stat. Sci. 1, 295\u2013318 (1986)","journal-title":"Stat. Sci."},{"key":"9040_CR11","volume-title":"Generalized Additive Models","author":"T.J. Hastie","year":"1990","unstructured":"Hastie, T.J., Tibshirani, R.J.: Generalized Additive Models. Chapman & Hall, London (1990)"},{"issue":"1","key":"9040_CR12","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1080\/00401706.1970.10488634","volume":"12","author":"A.E. Hoerl","year":"1970","unstructured":"Hoerl, A.E., Kennard, R.W.: Ridge regression: biased estimation for nonorthogonal problems. Technometrics 12(1), 55\u201367 (1970)","journal-title":"Technometrics"},{"issue":"2","key":"9040_CR13","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1111\/1467-9868.00125","volume":"60","author":"C.M. Hurvich","year":"1998","unstructured":"Hurvich, C.M., Simonoff, J.S., Tsai, C.: Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion. J. R. Stat. Soc. B 60(2), 271\u2013293 (1998)","journal-title":"J. R. Stat. Soc. B"},{"issue":"2","key":"9040_CR14","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1046\/j.1369-7412.2003.05316.x","volume":"66","author":"Y.-J. Kim","year":"2004","unstructured":"Kim, Y.-J., Gu, C.: Smoothing spline Gaussian regression: more scalable computation via efficient approximation. J. R. Stat. Soc. B 66(2), 337\u2013356 (2004)","journal-title":"J. R. Stat. Soc. B"},{"key":"9040_CR15","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/S0167-9473(02)00159-7","volume":"42","author":"T.C.M. Lee","year":"2003","unstructured":"Lee, T.C.M.: Smoothing parameter selection for smoothing splines: a simulation study. Comput. Stat. Data Anal. 42, 139\u2013148 (2003)","journal-title":"Comput. Stat. Data Anal."},{"issue":"2","key":"9040_CR16","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1080\/10618600.1999.10474817","volume":"8","author":"M.J. Lindstrom","year":"1999","unstructured":"Lindstrom, M.J.: Penlized estimation of free-knot splines. J. Comput. Graph. Stat. 8(2), 333\u2013352 (1999)","journal-title":"J. Comput. Graph. Stat."},{"key":"9040_CR17","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1093\/biomet\/83.3.529","volume":"83","author":"O.B. Linton","year":"1996","unstructured":"Linton, O.B., H\u00e4rdle, W.: Estimation of additive regression models with known links. Biometrika 83, 529\u2013540 (1996)","journal-title":"Biometrika"},{"key":"9040_CR18","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/S0167-9473(98)00033-4","volume":"28","author":"B.D. Marx","year":"1998","unstructured":"Marx, B.D., Eilers, P.H.C.: Direct generalized additive modelling with penalized likelihood. Comput. Stat. Data Anal. 28, 193\u2013209 (1998)","journal-title":"Comput. Stat. Data Anal."},{"key":"9040_CR19","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4899-3242-6","volume-title":"Generalized Linear Models, 2nd edn","author":"P. McCullagh","year":"1989","unstructured":"McCullagh, P., Nelder, J.A.: Generalized Linear Models, 2nd edn. Chapman & Hall, London (1989)"},{"key":"9040_CR20","volume-title":"R: A Language and Environment for Statistical Computing","author":"R Development Core Team","year":"2006","unstructured":"R Development Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna (2006). ISBN 3-900051-07-0"},{"key":"9040_CR21","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1198\/106186002853","volume":"11","author":"D. Ruppert","year":"2002","unstructured":"Ruppert, D.: Selecting the number of knots for penalized splines. J. Comput. Graph. Stat. 11, 735\u2013757 (2002)","journal-title":"J. Comput. Graph. Stat."},{"key":"9040_CR22","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511755453","volume-title":"Semiparametric Regression","author":"D. Ruppert","year":"2003","unstructured":"Ruppert, D., Wand, M.P., Carroll, R.J.: Semiparametric Regression. Cambridge University Press, Cambridge (2003)"},{"issue":"1","key":"9040_CR23","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1214\/ss\/1177011930","volume":"6","author":"T. Speed","year":"1991","unstructured":"Speed, T.: Comment on \u201cThat BLUP is a good thing: the estimation of random effects\u201d by G.K. Robinson. Stat. Sci. 6(1), 42\u201344 (1991)","journal-title":"Stat. Sci."},{"issue":"1","key":"9040_CR24","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R. Tibshirani","year":"1996","unstructured":"Tibshirani, R.: Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B 58(1), 267\u2013288 (1996)","journal-title":"J. R. Stat. Soc. B"},{"key":"9040_CR25","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1111\/j.1541-0420.2006.00578.x","volume":"62","author":"G. Tutz","year":"2006","unstructured":"Tutz, G., Binder, H.: Generalized additive modelling with implicit variable selection by likelihood based boosting. Biometrics 62, 961\u2013971 (2006)","journal-title":"Biometrics"},{"key":"9040_CR26","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1007\/s001800000047","volume":"15","author":"M.P. Wand","year":"2000","unstructured":"Wand, M.P.: A comparison of regression spline smoothing procedures. Comput. Stat. 15, 443\u2013462 (2000)","journal-title":"Comput. Stat."},{"issue":"1","key":"9040_CR27","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1111\/1467-9868.00115","volume":"60","author":"Y. Wang","year":"1998","unstructured":"Wang, Y.: Mixed effects smoothing spline analysis of variance. J. R. Stat. Soc. B 60(1), 159\u2013174 (1998)","journal-title":"J. R. Stat. Soc. B"},{"issue":"2","key":"9040_CR28","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1111\/1467-9868.00240","volume":"62","author":"S.N. Wood","year":"2000","unstructured":"Wood, S.N.: Modelling and smoothing parameter estimation with multiple quadratic penalties. J. R. Stat. Soc. B 62(2), 413\u2013428 (2000)","journal-title":"J. R. Stat. Soc. B"},{"issue":"467","key":"9040_CR29","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1198\/016214504000000980","volume":"99","author":"S.N. Wood","year":"2004","unstructured":"Wood, S.N.: Stable and efficient multiple smoothing parameter estimation for generalized additive models. J. Am. Stat. Assoc. 99(467), 673\u2013686 (2004)","journal-title":"J. Am. Stat. Assoc."},{"key":"9040_CR30","doi-asserted-by":"crossref","DOI":"10.1201\/9781420010404","volume-title":"Generalized Additive Models. An Introduction with R","author":"S.N. Wood","year":"2006","unstructured":"Wood, S.N.: Generalized Additive Models. An Introduction with R. Chapman & Hall\/CRC, Boca Raton (2006)"}],"container-title":["Statistics and Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-007-9040-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11222-007-9040-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-007-9040-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T19:24:48Z","timestamp":1737487488000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11222-007-9040-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,10,20]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2008,3]]}},"alternative-id":["9040"],"URL":"https:\/\/doi.org\/10.1007\/s11222-007-9040-0","relation":{},"ISSN":["0960-3174","1573-1375"],"issn-type":[{"type":"print","value":"0960-3174"},{"type":"electronic","value":"1573-1375"}],"subject":[],"published":{"date-parts":[[2007,10,20]]}}}