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Citations for "Thin plate regression splines"

by Simon N. Wood

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  1. Vladimir K. Kaishev & Dimitrina S. Dimitrova & Steven Haberman & Richard J. Verrall, 2016. "Geometrically designed, variable knot regression splines," Computational Statistics, Springer, vol. 31(3), pages 1079-1105, September.
  2. Tainsky, Scott & Mills, Brian & Winfree, Jason A., 2012. "Further Examination of Potential Discrimination Among MLB Umpires," MPRA Paper 43234, University Library of Munich, Germany.
  3. Hyndman, Rob J. & Shahid Ullah, Md., 2007. "Robust forecasting of mortality and fertility rates: A functional data approach," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 4942-4956, June.
  4. Smith, Michael S. & Kauermann, Göran, 2011. "Bicycle commuting in Melbourne during the 2000s energy crisis: A semiparametric analysis of intraday volumes," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1846-1862.
  5. Antonio Musolesi & Massimiliano Mazzanti, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic developement relation for advanced countries," Post-Print hal-01123027, HAL.
  6. Arin, K. Peren & Berlemann, Michael & Koray, Faik & Kuhlenkasper, Torben, 2011. "The taxation-growth-nexus revisited," HWWI Research Papers 104, Hamburg Institute of International Economics (HWWI).
  7. repec:wyi:journl:002174 is not listed on IDEAS
  8. Yichen Gao & Yu Zhang & Ximing Wu, 2015. "Penalized exponential series estimation of copula densities with an application to intergenerational dependence of body mass index," Empirical Economics, Springer, vol. 48(1), pages 61-81, February.
  9. Lei Fang & Wolfgang K. Härdle, 2015. "Stochastic Population Analysis: A Functional Data Approach," SFB 649 Discussion Papers SFB649DP2015-007, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  10. Torben Kuhlenkasper & Max Friedrich Steinhardt, 2012. "Who Leaves and When?: Selective Outmigration of Immigrants from Germany," SOEPpapers on Multidisciplinary Panel Data Research 490, DIW Berlin, The German Socio-Economic Panel (SOEP).
  11. Eilers, Paul & Durbán, María & Kneib, Thomas & Lee, Dae-Jin & Rodríguez-Álvarez, María Xosé, 2013. "Fast algorithm for smoothing parameter selection in multidimensional generalized P-splines," DES - Working Papers. Statistics and Econometrics. WS ws133026, Universidad Carlos III de Madrid. Departamento de Estadística.
  12. Leitenstorfer, Florian & Tutz, Gerhard, 2007. "Knot selection by boosting techniques," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4605-4621, May.
  13. Schwemmer, Philipp & Güpner, Franziska & Adler, Sven & Klingbeil, Knut & Garthe, Stefan, 2016. "Modelling small-scale foraging habitat use in breeding Eurasian oystercatchers (Haematopus ostralegus) in relation to prey distribution and environmental predictors," Ecological Modelling, Elsevier, vol. 320(C), pages 322-333.
  14. Björn Stollenwerk & Thomas Welchowski & Matthias Vogl & Stephanie Stock, 2016. "Cost-of-illness studies based on massive data: a prevalence-based, top-down regression approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(3), pages 235-244, April.
  15. Massimiliano Mazzanti & Antonio Musolesi, 2013. "Nonlinearity, Heterogeneity and Unobserved Effects in the CO2-income Relation for Advanced Countries," Working Papers 2013.91, Fondazione Eni Enrico Mattei.
  16. Carlo Fezzi & Ian Bateman, 2013. "The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farm Land Values," Working Papers 2013.94, Fondazione Eni Enrico Mattei.
  17. Nadja Klein & Michel Denuit & Stefan Lang & Thomas Kneib, 2013. "Nonlife Ratemaking and Risk Management with Bayesian Additive Models for Location, Scale and Shape," Working Papers 2013-24, Faculty of Economics and Statistics, University of Innsbruck.
  18. de Uña Álvarez, Jacobo & Roca Pardiñas, Javier, 2009. "Additive models in censored regression," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3490-3501, July.
  19. Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2014. "Augmented and Unconstrained: revisiting the Regional Knowledge Production Function," SEEDS Working Papers 2414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
  20. Nina Westerheide & Goran Kauermann, 2014. "Unemployed in Germany: Factors Influencing the Risk of Losing the Job," Research in World Economy, Research in World Economy, Sciedu Press, vol. 5(2), pages 43-55, September.
  21. Ivan Mendieta-Muñoz, 2014. "On the Interaction Between Economic Growth and Business Cycles," Studies in Economics 1417, School of Economics, University of Kent.
  22. Lan Zhou & Huijun Pan, 2014. "Smoothing noisy data for irregular regions using penalized bivariate splines on triangulations," Computational Statistics, Springer, vol. 29(1), pages 263-281, February.
  23. Stefan Sperlich & Raoul Theler, 2015. "Modeling heterogeneity: a praise for varying-coefficient models in causal analysis," Computational Statistics, Springer, vol. 30(3), pages 693-718, September.
  24. Christian Longhi & Antonio Musolesi & Catherine Baumont, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Post-Print hal-01123058, HAL.
  25. Marcus Groß, 2016. "Modeling body height in prehistory using a spatio-temporal Bayesian errors-in variables model," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 100(3), pages 289-311, July.
  26. Luca Zanin, 2010. "The relationship between changes in the Economic Sentiment Indicator and real GDP growth: a time-varying coefficient approach," Economics Bulletin, AccessEcon, vol. 30(1), pages 837-846.
  27. Krüger, Jens J., 2015. "Radar scanning the world production frontier," Darmstadt Discussion Papers in Economics 222, Darmstadt University of Technology, Department of Law and Economics.
  28. Lee, Wang-Sheng, 2014. "Big and Tall: Is there a Height Premium or Obesity Penalty in the Labor Market?," IZA Discussion Papers 8606, Institute for the Study of Labor (IZA).
  29. Seya, Hajime & Yamagata, Yoshiki & Nakamichi, Kumiko, 2016. "Creation of municipality level intensity data of electricity in Japan," Applied Energy, Elsevier, vol. 162(C), pages 1336-1344.
  30. Giampiero Marra & Rosalba Radice & Till Bärnighausen & Simon N. Wood & Mark E. McGovern, 2016. "A Simultaneous Equation Approach to Estimating HIV Prevalence with Non-Ignorable Missing Responses," Economics Working Papers 16-02, Queen's Management School, Queen's University Belfast.
  31. Longhi, C. & Musolesi, A. & Baumont, C., 2013. "Modeling the industrial dynamics of the European metropolitan areas during the process of economic integration: a semiparametric approach," Working Papers 2013-10, Grenoble Applied Economics Laboratory (GAEL).
  32. Göran Kauermann, 2006. "Nonparametric models and their estimation," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 137-152, March.
  33. Roberto Basile & Luigi Benfratello & Davide Castellani, 2012. "Geoadditive models for regional count data: an application to industrial location," ERSA conference papers ersa12p83, European Regional Science Association.
  34. Ozer Ozdemir & Memmedaga Memmedli & Akhlitdin Nizamitdinov, 2013. "ANN Models and Bayesian Spline Models for Analysis of Exchange Rates and Gold Price," International Econometric Review (IER), Econometric Research Association, vol. 5(2), pages 53-69, September.
  35. Roca-Pardinas, Javier & Cadarso-Suarez, Carmen & Tahoces, Pablo G. & Lado, Maria J., 2008. "Assessing continuous bivariate effects among different groups through nonparametric regression models: An application to breast cancer detection," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 1958-1970, January.
  36. Marra, Giampiero & Wood, Simon N., 2011. "Practical variable selection for generalized additive models," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2372-2387, July.
  37. Basile, Roberto & Durbán, María & Mínguez, Román & María Montero, Jose & Mur, Jesús, 2014. "Modeling regional economic dynamics: Spatial dependence, spatial heterogeneity and nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 229-245.
  38. Paciorek, Christopher J., 2007. "Computational techniques for spatial logistic regression with large data sets," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3631-3653, May.
  39. Francesco Vidoli & Giancarlo Ferrara, 2015. "Analyzing Italian citrus sector by semi-nonparametric frontier efficiency models," Empirical Economics, Springer, vol. 49(2), pages 641-658, September.
  40. Fritsch, Markus & Haupt, Harry & Ng, Pin T., 2016. "Urban house price surfaces near a World Heritage Site: Modeling conditional price and spatial heterogeneity," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 260-275.
  41. Rodríguez-Álvarez, María Xosé & Roca-Pardiñas, Javier & Cadarso-Suárez, Carmen, 2011. "A new flexible direct ROC regression model: Application to the detection of cardiovascular risk factors by anthropometric measures," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3257-3270, December.
  42. Brezger, Andreas & Lang, Stefan, 2006. "Generalized structured additive regression based on Bayesian P-splines," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 967-991, February.
  43. Sofie R. Waltl, 2015. "A hedonic house price index in continuous time," Graz Economics Papers 2015-04, University of Graz, Department of Economics.
  44. David Hondula & Robert Davis, 2014. "The predictability of high-risk zones for heat-related mortality in seven US cities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 771-788, November.
  45. Denuit, Michel & Lang, Stefan, 2004. "Non-life rate-making with Bayesian GAMs," Insurance: Mathematics and Economics, Elsevier, vol. 35(3), pages 627-647, December.
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