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A Bayesian approach to additive semiparametric regression

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  • Wong, Chi-ming
  • Kohn, Robert

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  • Wong, Chi-ming & Kohn, Robert, 1996. "A Bayesian approach to additive semiparametric regression," Journal of Econometrics, Elsevier, vol. 74(2), pages 209-235, October.
    • Handle: RePEc:eee:econom:v:74:y:1996:i:2:p:209-235
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    References listed on IDEAS

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    1. Craig F. Ansley & Robert Kohn, 1990. "Filtering And Smoothing In State Space Models With Partially Diffuse Initial Conditions," Journal of Time Series Analysis, Wiley Blackwell, vol. 11(4), pages 275-293, July.
    2. Carter, C.K. & Kohn, R., "undated". "Markov Chain Monte Carlo in Conditionally Gaussian State Space Models," Statistics Working Paper _003, Australian Graduate School of Management.
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    Cited by:

    1. Shively, Thomas S. & Kockelman, Kara & Damien, Paul, 2010. "A Bayesian semi-parametric model to estimate relationships between crash counts and roadway characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 699-715, June.
    2. Geweke, John & Keane, Michael, 2005. "Bayesian Cross-Sectional Analysis of the Conditional Distribution of Earnings of Men in the United States, 1967-1996: Appendices," MPRA Paper 54286, University Library of Munich, Germany.
    3. Michael Berlemann & Sören Enkelmann & Torben Kuhlenkasper, 2015. "Unraveling the Relationship Between Presidential Approval and the Economy: A Multidimensional Semiparametric Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 468-486, April.
    4. Kuhlenkasper, Torben & Kauermann, Göran, 2010. "Female wage profiles: An additive mixed model approach to employment breaks due to childcare," HWWI Research Papers 2-18, Hamburg Institute of International Economics (HWWI).
    5. Michael Berlemann & Vera Jahn, 2016. "Regional Importance of Mittelstand Firms and Innovation Performance," Regional Studies, Taylor & Francis Journals, vol. 50(11), pages 1819-1833, November.
    6. Dongchu Sun & Paul Speckman, 2008. "Bayesian hierarchical linear mixed models for additive smoothing splines," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 60(3), pages 499-517, September.
    7. Schimek, Michael G. & Turlach, Berwin A., 1998. "Additive and generalized additive models: A survey," SFB 373 Discussion Papers 1998,97, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    8. Elcin Koc & Cem Iyigun, 2014. "Restructuring forward step of MARS algorithm using a new knot selection procedure based on a mapping approach," Journal of Global Optimization, Springer, vol. 60(1), pages 79-102, September.
    9. 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.
    10. Thomas S. Shively & Thomas W. Sager & Stephen G. Walker, 2009. "A Bayesian approach to non‐parametric monotone function estimation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(1), pages 159-175, January.
    11. Berlemann, Michael & Enkelmann, Soeren & Kuhlenkasper, Torben, 2012. "Unraveling the complexity of US presidential approval: A multi-dimensional semi-parametric approach," HWWI Research Papers 118, Hamburg Institute of International Economics (HWWI).
    12. 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).
    13. Geweke, John & Keane, Michael, 2005. "Bayesian Cross-Sectional Analysis of the Conditional Distribution of Earnings of Men in the United States, 1967-1996," MPRA Paper 54281, University Library of Munich, Germany.
    14. Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models," Journal of Econometrics, Elsevier, vol. 143(2), pages 291-316, April.

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