{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T17:46:30Z","timestamp":1649180790221},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2014,7,16]],"date-time":"2014-07-16T00:00:00Z","timestamp":1405468800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Stat Comput"],"published-print":{"date-parts":[[2015,1]]},"DOI":"10.1007\/s11222-014-9490-0","type":"journal-article","created":{"date-parts":[[2014,7,15]],"date-time":"2014-07-15T09:42:39Z","timestamp":1405417359000},"page":"47-63","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Fast matrix computations for functional additive models"],"prefix":"10.1007","volume":"25","author":[{"given":"Simon","family":"Barthelm\u00e9","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,7,16]]},"reference":[{"key":"9490_CR1","doi-asserted-by":"crossref","unstructured":"Barthelm\u00e9, S., Trukenbrod, H., Engbert, R., Wichmann, F.: Modeling fixation locations using spatial point processes. J. Vis. 13(12), (2013). doi: 10.1167\/13.12.1","DOI":"10.1167\/13.12.1"},{"issue":"2","key":"9490_CR2","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1093\/biomet\/92.2.419","volume":"92","author":"S Behseta","year":"2005","unstructured":"Behseta, S., Kass, R.E., Wallstrom, G.L.: Hierarchical models for assessing variability among functions. Biometrika 92(2), 419\u2013434 (2005)","journal-title":"Biometrika"},{"key":"9490_CR3","doi-asserted-by":"crossref","unstructured":"Bolin, D., Lindgren, F.: Excursion and contour uncertainty regions for latent gaussian models. J. R. Stat. Soc. B (2014)","DOI":"10.1111\/rssb.12055"},{"issue":"497","key":"9490_CR4","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1080\/01621459.2011.646919","volume":"107","author":"L Bornn","year":"2012","unstructured":"Bornn, L., Shaddick, G., Zidek, J.V.: Modeling nonstationary processes through dimension expansion. J. Am. Stat. Assoc. 107(497), 281\u2013289 (2012)","journal-title":"J. Am. Stat. Assoc."},{"key":"9490_CR5","unstructured":"Cheng, W., Dryden, I. L., and Huang, X.: Bayesian registration of functions and curves (2013). arXiv:1311.2105"},{"issue":"1","key":"9490_CR6","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1111\/j.1467-9868.2007.00633.x","volume":"70","author":"N Cressie","year":"2008","unstructured":"Cressie, N., Johannesson, G.: Fixed rank kriging for very large spatial data sets. J. R. Stat. Soc.: Ser. B (Statistical Methodology) 70(1), 209\u2013226 (2008)","journal-title":"J. R. Stat. Soc.: Ser. B (Statistical Methodology)"},{"key":"9490_CR7","doi-asserted-by":"crossref","unstructured":"Fillipone, M., Girolami, M.: Pseudo-marginal bayesian inference for Gaussian processes. IEEE. Trans. Pattern. Anal. Mach. Intell. (2014). doi: 10.1109\/TPAMI.2014.2316530","DOI":"10.1109\/TPAMI.2014.2316530"},{"issue":"3","key":"9490_CR8","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1198\/106186006X132178","volume":"15","author":"R Furrer","year":"2006","unstructured":"Furrer, R., Genton, M.G., Nychka, D.: Covariance tapering for interpolation of large spatial datasets. J. Comput. Graph. Stat. 15(3), 502\u2013523 (2006)","journal-title":"J. Comput. Graph. Stat."},{"key":"9490_CR9","volume-title":"Matrix Computations","author":"GH Golub","year":"1996","unstructured":"Golub, G.H., Van Loan, C.F.: Matrix Computations, 3rd edn. Johns Hopkins University Press, Baltimore (1996)","edition":"3"},{"key":"9490_CR10","doi-asserted-by":"crossref","first-page":"246","DOI":"10.2307\/2345178","volume":"139","author":"CWJ Granger","year":"1976","unstructured":"Granger, C.W.J., Morris, M.J.: Time series modelling and interpretation. J. R. Stat. Soc. Ser. A (General) 139, 246\u2013257 (1976)","journal-title":"J. R. Stat. Soc. Ser. A (General)"},{"key":"9490_CR11","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1016\/j.laa.2011.07.009","volume":"436","author":"DK Heersink","year":"2011","unstructured":"Heersink, D.K., Furrer, R.: On moore-penrose inverses of quasi-kronecker structured matrices. Linear Algebra Appl. 436, 561\u2013570 (2011)","journal-title":"Linear Algebra Appl."},{"key":"9490_CR12","volume-title":"Statistical Analysis and Modelling of Spatial Point Patterns (Statistics in Practice)","author":"J Illian","year":"2008","unstructured":"Illian, J., Penttinen, A., Stoyan, H., Stoyan, D.: Statistical Analysis and Modelling of Spatial Point Patterns (Statistics in Practice), 1st edn. Wiley-Interscience, Hoboken (2008)","edition":"1"},{"key":"9490_CR13","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1214\/10-BA505","volume":"5","author":"C Kaufman","year":"2009","unstructured":"Kaufman, C., Sain, S.: Bayesian functional ANOVA modeling using Gaussian process prior distributions. Bayesian Anal. 5, 123\u2013150 (2009)","journal-title":"Bayesian Anal."},{"issue":"483","key":"9490_CR14","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1198\/016214508000000517","volume":"103","author":"A Kneip","year":"2008","unstructured":"Kneip, A., Ramsay, J.O.: Combining registration and fitting for functional models. J. Am. Stat. Assoc. 103(483), 1155\u20131165 (2008)","journal-title":"J. Am. Stat. Assoc."},{"issue":"4","key":"9490_CR15","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1111\/j.1467-9868.2011.00777.x","volume":"73","author":"F Lindgren","year":"2011","unstructured":"Lindgren, F., Rue, H., Lindstr\u00f6m, J.: An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach. J. R. Stat. Soc.: Ser. B (Statistical Methodology) 73(4), 423\u2013498 (2011)","journal-title":"J. R. Stat. Soc.: Ser. B (Statistical Methodology)"},{"issue":"1\u20133","key":"9490_CR16","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/BF01589116","volume":"45","author":"D Liu","year":"1989","unstructured":"Liu, D., Nocedal, J.: On the limited memory BFGS method for large scale optimization. Math. Program. 45(1\u20133), 503\u2013528 (1989)","journal-title":"Math. Program."},{"key":"9490_CR17","unstructured":"Minka, T. P.: Expectation propagation for approximate bayesian inference. In: UAI \u201901: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, pp. 362\u2013369. Morgan Kaufmann Publishers Inc, San Francisco (2001)"},{"issue":"3","key":"9490_CR18","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1111\/1467-9469.00115","volume":"25","author":"J M\u00f8ller","year":"1998","unstructured":"M\u00f8ller, J., Syversveen, A.R., Waagepetersen, R.P.: Log gaussian cox processes. Scand. J. Stat. 25(3), 451\u2013482 (1998)","journal-title":"Scand. J. Stat."},{"key":"9490_CR19","first-page":"541","volume":"9","author":"I Murray","year":"2010","unstructured":"Murray, I., Adams, R.P., MacKay, D.J.: Elliptical slice sampling. JMLR: W&CP 9, 541\u2013548 (2010)","journal-title":"JMLR: W&CP"},{"key":"9490_CR20","unstructured":"Neal, R. M.: Monte Carlo Implementation of Gaussian Process Models for Bayesian Regression and Classification (1997). arXiv:physics\/9701026"},{"key":"9490_CR21","first-page":"2035","volume":"9","author":"H Nickisch","year":"2008","unstructured":"Nickisch, H., Rasmussen, C.E.: Approximations for binary Gaussian process classification. J. Mach. Learn. Res. 9, 2035\u20132078 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"9490_CR22","volume-title":"Numerical Optimization (Springer Series in Operations Research and Financial Engineering)","author":"J Nocedal","year":"2006","unstructured":"Nocedal, J., Wright, S.: Numerical Optimization (Springer Series in Operations Research and Financial Engineering), 2nd edn. Springer, Berlin (2006)","edition":"2"},{"issue":"3","key":"9490_CR23","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1162\/neco.2008.08-07-592","volume":"21","author":"M Opper","year":"2008","unstructured":"Opper, M., Archambeau, C.: The variational gaussian approximation revisited. Neural Comput. 21(3), 786\u2013792 (2008)","journal-title":"Neural Comput."},{"key":"9490_CR24","doi-asserted-by":"crossref","unstructured":"Paciorek, C.J.: Bayesian smoothing with Gaussian processes using fourier basis functions in the spectralGP package. J. Stat. Softw. 19(2), nihpa22751 (2007)","DOI":"10.18637\/jss.v019.i02"},{"key":"9490_CR25","doi-asserted-by":"crossref","unstructured":"Paninski, L., Pillow, J., Lewi, J.: Statistical models for neural encoding, decoding, and optimal stimulus design. Prog. Brain Res. 165, 493\u2013507 (2007)","DOI":"10.1016\/S0079-6123(06)65031-0"},{"key":"9490_CR26","unstructured":"Petersen, K. B. and Pedersen, M. S.: The matrix cookbook. Version 20121115 (2012)"},{"issue":"1","key":"9490_CR27","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.jneumeth.2009.01.037","volume":"181","author":"C Pouzat","year":"2009","unstructured":"Pouzat, C., Chaffiol, A.: Automatic spike train analysis and report generation. an implementation with r, R2HTML and STAR. J. Neurosci. Methods 181(1), 119\u2013144 (2009)","journal-title":"J. Neurosci. Methods"},{"key":"9490_CR28","doi-asserted-by":"crossref","DOI":"10.1007\/b98888","volume-title":"Functional Data Analysis (Springer Series in Statistics)","author":"J Ramsay","year":"2005","unstructured":"Ramsay, J., Silverman, B.W.: Functional Data Analysis (Springer Series in Statistics), 2nd edn. Springer, Berlin (2005)","edition":"2"},{"key":"9490_CR29","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/3206.001.0001","volume-title":"Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series)","author":"CE Rasmussen","year":"2005","unstructured":"Rasmussen, C.E., Williams, C.K.I.: Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series). The MIT Press, Cambridge (2005)"},{"key":"9490_CR30","doi-asserted-by":"crossref","DOI":"10.1201\/9780203492024","volume-title":"Gaussian Markov Random Fields: Theory and Applications (Chapman & Hall\/CRC Monographs on Statistics & Applied Probability)","author":"H Rue","year":"2005","unstructured":"Rue, H., Held, L.: Gaussian Markov Random Fields: Theory and Applications (Chapman & Hall\/CRC Monographs on Statistics & Applied Probability), 1st edn. Chapman and Hall\/CRC, London (2005)","edition":"1"},{"issue":"2","key":"9490_CR31","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1111\/j.1467-9868.2008.00700.x","volume":"71","author":"H Rue","year":"2009","unstructured":"Rue, H., Martino, S., Chopin, N.: Approximate bayesian inference for latent gaussian models by using integrated nested laplace approximations. J. R. Stat. Soc.: Ser. B (Statistical Methodology) 71(2), 319\u2013392 (2009)","journal-title":"J. R. Stat. Soc.: Ser. B (Statistical Methodology)"},{"key":"9490_CR32","doi-asserted-by":"crossref","DOI":"10.1137\/1.9780898718003","volume-title":"Iterative Methods for Sparse Linear Systems","author":"Y Saad","year":"2003","unstructured":"Saad, Y.: Iterative Methods for Sparse Linear Systems, 2nd edn. Society for Industrial and Applied Mathematics, Philadelphia (2003)","edition":"2"},{"issue":"6","key":"9490_CR33","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1002\/env.1068","volume":"22","author":"SR Sain","year":"2011","unstructured":"Sain, S.R., Nychka, D., Mearns, L.: Functional ANOVA and regional climate experiments: a statistical analysis of dynamic downscaling. Environmetrics 22(6), 700\u2013711 (2011)","journal-title":"Environmetrics"},{"key":"9490_CR34","doi-asserted-by":"crossref","unstructured":"Telesca, D., Inoue, L.Y.T.: Bayesian hierarchical curve registration. J. Am. Stat. Assoc. 103(481), 328\u2013339 (2008)","DOI":"10.1198\/016214507000001139"},{"issue":"393","key":"9490_CR35","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1080\/01621459.1986.10478240","volume":"81","author":"L Tierney","year":"1986","unstructured":"Tierney, L., Kadane, J.B.: Accurate approximations for posterior moments and marginal densities. J. Am. Stat. Assoc. 81(393), 82\u201386 (1986)","journal-title":"J. Am. Stat. Assoc."}],"container-title":["Statistics and Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-014-9490-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11222-014-9490-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-014-9490-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,12]],"date-time":"2019-08-12T20:45:50Z","timestamp":1565642750000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11222-014-9490-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,7,16]]},"references-count":35,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,1]]}},"alternative-id":["9490"],"URL":"https:\/\/doi.org\/10.1007\/s11222-014-9490-0","relation":{},"ISSN":["0960-3174","1573-1375"],"issn-type":[{"value":"0960-3174","type":"print"},{"value":"1573-1375","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,7,16]]}}}