Publikationen


  • Schneider, L.F., Krajina, A., Krivobokova, T. (2019) Threshold selection in univariate extreme value analysis. Submitted, arXiv:1903.02517.
  • Kramlinger, P., Krivobokova, T., Sperlich, S. (2019) Marginal and conditional multiple inference in linear mixed models. Submitted, arXiv:1812.06948.
  • Serra, P., Krivobokova, T., Rosales, F. (2019) Adaptive non-parametric estimation of mean and autocovariance in regression with dependent errors. Submitted, arXiv:1812.06948.
  • Dunker, F., Klasen, S., Krivobokova, T. (2019) Asymptotic distribution and simultaneous confidence bands for ratios of quantile functions. Electronic Journal of Statistics, 13(2): 4391-4415. arXiv:1710.09009.
  • Yoon, J., Krivobokova, T. (2018) Treatments of non-metric variables in partial least squares and principal component analysis. Journal of Applied Statistics, 45(6): 971-987. Preprint.
  • Singer, M., Krivobokova, T., Munk, A. (2017) Kernel partial least squares for stationary data. Journal of Machine Learning Research, 18(123):1-41, arXiv:1706.03559.
  • Serra, P., Krivobokova, T. (2017) Adaptive empirical Bayesian smoothing splines. Bayesian Analysis, 12(1), 219-238. arXiv:1411.6860.
  • Singer, M., Krivobokova, T., de Groot, B.L., Munk, A. (2016) Partial least squares for dependent data. Biometrika, 103 (2): 351-362. arXiv:1510.05014.
  • 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. Preprint.
  • Schwarz,K., Krivobokova,T. (2016) A unified framework for spline estimators. Biometrika, 103(1): 103-120. arXiv:1602.06318.
  • 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 in generalized threshold regression models. Bayesian Analysis, 9(1): 171-196 Preprint.
  • Greb, F., von Cramon-Taubadel, S., Krivobokova, T., and Munk, A. (2013). The estimation of threshold models in price transmission analysis. American Journal of Agricultural Economics, 95(4): 900-916. Preprint.
  • Krivobokova, T. (2013) Smoothing parameter selection in two frameworks for penalized splines. Journal of the Royal Statistical Society, Series B. 75(4): 725-741. Preprint and supplement.
  • Krivobokova, T., Briones, R., Hub, J., Munk, A., de Groot, B. (2012) Partial least squares functional mode analysis: application to the membrane proteins AQP1, Aqy1 and CLC-ec1. Biophysical Journal, 103(4): 786-796. Preprint and supplement.
  • 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. Preprint.
  • Kauermann, G., Krivobokova, T., Semmler, W. (2011) Filtering time series with penalized splines. Studies in Nonlinear Dynamics & Econometrics, 15(2) Preprint.
  • Krivobokova, T., Kneib, T., Claeskens, G. (2010) Simultaneous confidence bands for penalized spline estimators. Journal of the American Statistical Association,105(490): 852–863. Preprint.
  • Claeskens, G., Krivobokova, T., Opsomer, J.D. (2009) Asymptotic properties of penalized spline estimators. Biometrika,96(3): 529-544 Preprint.
  • 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. Preprint.
  • Krivobokova, T., Crainiceanu, C.M., Kauermann, G. (2008). Fast adaptive penalized splines. Journal of Computational and Graphical Statistics, 17(1): 1-20. Preprint.
  • Krivobokova, T., Kauermann, G. (2007). A note on penalized spline smoothing with correlated errors. Journal of the American Statistical Association, 102(480): 1328-1337. Preprint.
  • Krivobokova, T., Kauermann, G., Archontakis, T. (2006). Estimating the term structure of interest rates using penalized splines. Statistical Papers , 47(3): 443-459. Preprint.
  • 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. Preprint.