Deutsche Version
Nächster Vortrag im Stochastischen Kolloquium:
25.10.2017, 11:15, Dr. Vlada Limic (Université Paris Sud 11)

"Title: t.b.a.".
Statistics Meets Friends: The workshop "Statistics Meets Friends - from biophysics to inverse problems and back -" takes place in Göttingen from November 29th to December 1st, 2017.

Research group: Statistical methods
Publications: Prof. Dr. Tatyana Krivobokova

  • Singer, M., Krivobokova, T., Munk, A. (2017).
    Kernel partial least squares for stationary data. Submitted.
  • Klasen, S., Krivobokova, T., Greb. F., Lahoti, R., Pasaribu, S., Wiesenfarth, M. (2016).
    International poverty measurement: which way now? Journal of Economic Inequality, 14(2), 199-225.
  • Singer, M., Krivobokova, T., Groot, L.B., Munk, A. (2016).
    Partial least squares for dependent data. Biometrika, 103(2), 351-362.
  • Serra, P., Krivobokova, T. (2016).
    Adaptive empirical Bayesian smoothing splines. Bayesian Analysis. To appear.
  • Schwarz,K., Krivobokova,T. (2016).
    A unified framework for spline estimators. Biometrika, 103(1), 103-120.
  • Peter, P., Weickert,J., Munk, A., Krivobokova, T., Li, H. (2015).
    Justifying tensor-driven diffusion from structure-adaptive statistics of natural images. Energy Minimization Methods in Computer Vision and Pattern Recognition, 8932, 263--277.
  • Greb, F., Krivobokova, T., Munk, A., von Cramon-Taubadel, S. (2014).
    Regularized Bayesian estimation of generalized threshold regression models. Bayesian Analysis, 9(1), 171-196 (Preprint).
  • Greb, F., von Cramon-Taubadel, S., Krivobokova, T., Munk, A. (2013).
    The estimation of threshold models in price transmission analysis. American Journal of Agricultural Economics, 95, 900-916.
  • Krivobokova, T. (2013).
    Smoothing parameter selection in two frameworks for penalized splines. Journal of the Royal Statistical Society, Series B. , 75(4), 725-741.
  • Wiesenfarth, M., Krivobokova, T., Klasen, S., Sperlich, S. (2012).
    Direct simultaneous inference in additive models and its application to model undernutrition. Journal of the American Statistical Association, 107(500), 1286-1296.
  • Krivobokova, T., Briones, R., Hub, J., Munk, A., de Groot, B. (2012).
    Partial least squares functional mode analysis: application to membrane proteins AQP1, Aqy1 and CLC-ec1 Biophysical Journal, 103, 786-796.
  • Kauermann, G., Krivobokova, T., Semmler, W. (2011).
    Filtering time series with penalized splines. Studies in Nonlinear Dynamics & Econometrics, 15(2).
  • Krivobokova, T., Kneib, T., Claeskens, G. (2010).
    Simultaneous confidence bands for penalized spline estimators. Journal of the American Statistical Association, 105(490), 852–863.
  • Claeskens, G., Krivobokova, T., Opsomer, J.D. (2009).
    Asymptotic properties of penalized spline estimators. Biometrika, 96(3), 529-544.
  • Kauermann, G., Krivobokova, T., Fahrmeir, L. (2009).
    Some asymptotic results on generalized penalized spline smoothing. Journal of the Royal Statistical Society, Series B. , 71(2), 487-503.
  • Krivobokova, T., Crainiceanu, C.M., Kauermann, G. (2008).
    Fast adaptive penalized splines. Journal of Computational and Graphical Statistics Journal of Computational and Graphical Statistics, 17(1), 1-20.
  • Krivobokova, T., Kauermann, G. (2007).
    A note on penalized spline smoothing with correlated errors. Journal of the American Statistical Association, 102(480), 1328-1337.
  • Krivobokova, T., Kauermann, G., Archontakis, T. (2006).
    Estimating the term structure of interest rates using penalized splines. Statistical papers, 47(3), 443-459.
  • Pfahl D., Laitenberger O., Ruhe G., Dorsch J., Krivobokova T. (2004).
    Evaluating the learning effectiveness of using simulations in software project management education: results from a twice replicated experiment. Information & Software Technology , 46(2), 127-147.