IDEAS home Printed from https://ideas.repec.org/a/spr/alstar/v94y2010i4p367-388.html
   My bibliography  Save this article

Using recursive algorithms for the efficient identification of smoothing spline ANOVA models

Author

Listed:
  • Marco Ratto
  • Andrea Pagano

Abstract

No abstract is available for this item.

Suggested Citation

  • Marco Ratto & Andrea Pagano, 2010. "Using recursive algorithms for the efficient identification of smoothing spline ANOVA models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(4), pages 367-388, December.
  • Handle: RePEc:spr:alstar:v:94:y:2010:i:4:p:367-388
    DOI: 10.1007/s10182-010-0148-8
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10182-010-0148-8
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10182-010-0148-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    2. Tobias Wagner & Christoph Bröcker & Nicolas Saba & Dirk Biermann & Anton Matzenmiller & Kurt Steinhoff, 2010. "Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(4), pages 389-404, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Barry Anderson & Emanuele Borgonovo & Marzio Galeotti & Roberto Roson, 2014. "Uncertainty in Climate Change Modeling: Can Global Sensitivity Analysis Be of Help?," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 271-293, February.
    2. Beccacece, Francesca & Borgonovo, Emanuele & Buzzard, Greg & Cillo, Alessandra & Zionts, Stanley, 2015. "Elicitation of multiattribute value functions through high dimensional model representations: Monotonicity and interactions," European Journal of Operational Research, Elsevier, vol. 246(2), pages 517-527.
    3. Francesca Di Girolamo & Henrik Jonsson & Francesca Campolongo & Wim Schoutens, 2012. "Sense and Sensitivity: An Input Space Odyssey for Asset-Backed Security Ratings," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 3(4), pages 46-68, October.
    4. Matieyendou Lamboni, 2018. "Global sensitivity analysis: a generalized, unbiased and optimal estimator of total-effect variance," Statistical Papers, Springer, vol. 59(1), pages 361-386, March.
    5. Dragomirescu-Gaina, Catalin & Galariotis, Emilios & Philippas, Dionisis, 2021. "Chasing the ‘green bandwagon’ in times of uncertainty," Energy Policy, Elsevier, vol. 151(C).
    6. Acurio Vásconez, Verónica & Giraud, Gaël & Mc Isaac, Florent & Pham, Ngoc-Sang, 2015. "The effects of oil price shocks in a new-Keynesian framework with capital accumulation," Energy Policy, Elsevier, vol. 86(C), pages 844-854.
    7. Wu, Zeping & Wang, Wenjie & Wang, Donghui & Zhao, Kun & Zhang, Weihua, 2019. "Global sensitivity analysis using orthogonal augmented radial basis function," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 291-302.
    8. Weirs, V. Gregory & Kamm, James R. & Swiler, Laura P. & Tarantola, Stefano & Ratto, Marco & Adams, Brian M. & Rider, William J. & Eldred, Michael S., 2012. "Sensitivity analysis techniques applied to a system of hyperbolic conservation laws," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 157-170.
    9. Haro Sandoval, Eduardo & Anstett-Collin, Floriane & Basset, Michel, 2012. "Sensitivity study of dynamic systems using polynomial chaos," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 15-26.
    10. Li, Luyi & Lu, Zhenzhou & Hu, JiXiang, 2014. "A new kind of regional importance measure of the input variable and its state dependent parameter solution," Reliability Engineering and System Safety, Elsevier, vol. 128(C), pages 1-16.
    11. Matieyendou Lamboni, 2020. "Uncertainty quantification: a minimum variance unbiased (joint) estimator of the non-normalized Sobol’ indices," Statistical Papers, Springer, vol. 61(5), pages 1939-1970, October.
    12. Paolo Paruolo & Michaela Saisana & Andrea Saltelli, 2013. "Ratings and rankings: voodoo or science?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 609-634, June.
    13. Cremona, Marzia A. & Liu, Binbin & Hu, Yang & Bruni, Stefano & Lewis, Roger, 2016. "Predicting railway wheel wear under uncertainty of wear coefficient, using universal kriging," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 49-59.
    14. Sigal Levy & David Steinberg, 2010. "Computer experiments: a review," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(4), pages 311-324, December.
    15. Daneshkhah, Alireza & Bedford, Tim, 2013. "Probabilistic sensitivity analysis of system availability using Gaussian processes," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 82-93.
    16. Wei, Pengfei & Lu, Zhenzhou & Yuan, Xiukai, 2013. "Monte Carlo simulation for moment-independent sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 110(C), pages 60-67.
    17. Sonja Kuhnt & David Steinberg, 2010. "Design and analysis of computer experiments," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(4), pages 307-309, December.
    18. Zheng, Xiaoyu & Itoh, Hiroto & Kawaguchi, Kenji & Tamaki, Hitoshi & Maruyama, Yu, 2015. "Application of Bayesian nonparametric models to the uncertainty and sensitivity analysis of source term in a BWR severe accident," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 253-262.
    19. Francesca Erica Di Girolamo & Francesca Campolongo & Jan De Spiegeleer & Wim Schoutens, 2017. "Contingent conversion convertible bond: New avenue to raise bank capital," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-31, March.
    20. Borgonovo, Emanuele & Buzzard, Gregery T. & Wendell, Richard E., 2018. "A global tolerance approach to sensitivity analysis in linear programming," European Journal of Operational Research, Elsevier, vol. 267(1), pages 321-337.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lubos Hanus & Lukas Vacha, 2015. "Business cycle synchronization of the Visegrad Four and the European Union," Working Papers IES 2015/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2015.
    2. Thomas Baudin & Robert Stelter, 2022. "The rural exodus and the rise of Europe," Journal of Economic Growth, Springer, vol. 27(3), pages 365-414, September.
    3. Kožić, Ivan & Sever, Ivan, 2014. "Measuring business cycles: Empirical Mode Decomposition of economic time series," Economics Letters, Elsevier, vol. 123(3), pages 287-290.
    4. Peter Phillips, 2010. "Two New Zealand pioneer econometricians," New Zealand Economic Papers, Taylor & Francis Journals, vol. 44(1), pages 1-26.
    5. Perron, Pierre & Wada, Tatsuma, 2016. "Measuring business cycles with structural breaks and outliers: Applications to international data," Research in Economics, Elsevier, vol. 70(2), pages 281-303.
    6. Matsumura, Marco & Moreira, Ajax & Vicente, José, 2011. "Forecasting the yield curve with linear factor models," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 237-243.
    7. Konon, Alexander & Fritsch, Michael & Kritikos, Alexander S., 2018. "Business cycles and start-ups across industries: An empirical analysis of German regions," Journal of Business Venturing, Elsevier, vol. 33(6), pages 742-761.
    8. Vitek, Francis, 2006. "Measuring the Stance of Monetary Policy in a Small Open Economy: A Dynamic Stochastic General Equilibrium Approach," MPRA Paper 802, University Library of Munich, Germany.
    9. Herwartz, H. & Xu, F., 2010. "A functional coefficient model view of the Feldstein-Horioka puzzle," Journal of International Money and Finance, Elsevier, vol. 29(1), pages 37-54, February.
    10. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    11. Ning, Cathy & Wirjanto, Tony S., 2009. "Extreme return-volume dependence in East-Asian stock markets: A copula approach," Finance Research Letters, Elsevier, vol. 6(4), pages 202-209, December.
    12. Joël Cariolle & Michaël Goujon, 2015. "Measuring Macroeconomic Instability: A Critical Survey Illustrated With Exports Series," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 1-26, February.
    13. Olivier Basdevant & Nils Björksten & Özer Karagedikli, 2004. "Estimating a time varying neutral real interest rate for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP 2004/01, Reserve Bank of New Zealand.
    14. Mazumder, Sandeep, 2014. "Determinants of the sacrifice ratio: Evidence from OECD and non-OECD countries," Economic Modelling, Elsevier, vol. 40(C), pages 117-135.
    15. Jesús Cuaresma & Ernest Gnan & Doris Ritzberger-Gruenwald, 2004. "Searching for the natural rate of interest: a euro area perspective," Economic Change and Restructuring, Springer, vol. 31(2), pages 185-204, June.
    16. Owolabi, Adegboyega O. & Berdiev, Aziz N. & Saunoris, James W., 2022. "Is the shadow economy procyclical or countercyclical over the business cycle? International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 257-270.
    17. Coşkun Akdeniz, 2021. "Construction of the Monetary Conditions Index with TVP-VAR Model: Empirical Evidence for Turkish Economy," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 215-228, Springer.
    18. Prabheesh, K.P. & Anglingkusumo, Reza & Juhro, Solikin M., 2021. "The dynamics of global financial cycle and domestic economic cycles: Evidence from India and Indonesia," Economic Modelling, Elsevier, vol. 94(C), pages 831-842.
    19. Albonico, Alice & Paccagnini, Alessia & Tirelli, Patrizio, 2017. "Great recession, slow recovery and muted fiscal policies in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 140-161.
    20. Richard H. Clarida & Mark P. Taylor, 2003. "Nonlinear Permanent - Temporary Decompositions in Macroeconomics and Finance," Economic Journal, Royal Economic Society, vol. 113(486), pages 125-139, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:alstar:v:94:y:2010:i:4:p:367-388. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.