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Publications

  • CAROLL, C., MULLER, H.-G. and KNEIP, A. (2020). Cross-component registration for multivariate functional data, with application to growth curves. Biometrics, to appear
     
  • ARNONE, E., KNEIP, A., NOBILE, F. and SANGALLI, L.M. (2020). Some first results on the consistency of spatial regression with partial differential equation regularization. Statistica Sinica, to appear
     
  • POß, D., LIEBL, D., KNEIP ,A., EISENBARTH, H., WAGER, T.D. and FELDMAN BARRET, L. (2020). Superconsistent estimation of points of impact in nonparametric regression with functional predictors. Journal of the Royal Statistical Society, Series B, to appear
     
  • KNEIP, A., SIMAR, L. and WILSON, P. (2020). Inference in dynamic, nonparametric models of production: central limit theorems for Malmquist indices. Econometric Theory, to appear, doi: 10.1017/s0266466620000237
     
  • DELAIGLE, A., HALL, P., HUANG, W. and KNEIP, A. (2020). Estimating the covariance of fragmented and other related types of functional data. Journal of the American Statistical Association, to appear, https://doi.org/10.1080/01621459.2020.1723597
     
  • KNEIP, A. and LIEBL, D. (2020). On the optimal reconstruction of partially observed functional data. Annals of Statistics, 48, 1692-1717.
     
  • KNEIP, A., MERZ, M. and STORJOHANN, L. (2019). Aggregation and labor supply elasticities. Journal of the European Economic Association, to appear, https://doi.org/10.1093/jeea/jvz039
     
  • WAGNER, H. and KNEIP, A. (2019). Non-parametric registration to low-dimensional function spaces. Computational Statistics and Data Analysis, 138, 49-63.
     
  • GRITH, M, WAGNER, H., HARDLE, W. and KNEIP, A. (2018). Functional principal component analysis for derivatives of multivariate curves. Statistica Sinica, 28, 2469-2496.
     
  • KNEIP, A., POSS, D. and SARDA, P. (2016). Functional Linear Regression with Points of Impact. Annals of Statistics, 44, 1-30 
     
  • KNEIP, A., SIMAR, L. and WILSON, P. (2016). Testing Hypotheses in Nonparametric Models of Production. Journal of Business & Economic Statistics, 34, 435-456
     
  • KNEIP, A., SIMAR, L. and VAN KEILEGOM, I. (2015). Frontier estimation in the presence of measurement error with unknown variance. Journal of Econometrics, 184, 379-393
     
  • KNEIP, A., SIMAR, L. and WILSON, P. (2015). When bias kills the variance: Central limit theorems for DEA and FDH efficiency scores. Econometric Theory, 28, 590-628
     
  • BADA, O. and KNEIP, A. (2014). Parameter cascading for panel models with unknown number of unobserved factors: An application to the credit spread puzzle. Computational Statistics and Data Analysis, 76, 95-115
     
  • KNEIP, A., SICKLES. R.C. and SONG, W. (2012). A new panel data treatment for heterogeneity in time trends. Econometric Theory, 31, 394-422
     
  • PALUCH, M., KNEIP. A. and HILDENBRAND, W. (2012). Individual versus Aggregate income elasticities for heterogeneous populations. Journal of Applied Econometrics, 27, 847-869
     
  • KNEIP, A. and SICKLES, R.C. (2012). Panel data, factor models, and the Solow residual. in: Exploring Research Frontiers in Contemporary Statistics and Econometrics; van Keilegom, I. and Wilson, P. (eds.); Springer Verlag, New York, 83-114
     
  • KNEIP, A. and SARDA, P. (2011). Factor models and variable selection in high dimensional regression analysis. Annals of Statistics, 39, 2410-2447
     
  • KNEIP, A., SIMAR, L. and WILSON, P. (2011). A computationally efficient, consistent bootstrap for inference with non-parametric DEA estimators. Computational Economics, 38, 483-515
     
  • CRAMBES, C., KNEIP, A. and SARDA, P. (2009). Smoothing splines estimators for functional linear regression. Annals of Statistics, 37, 35-72
     
  • BENKO, M., HÄRDLE, W. and KNEIP, A. (2009). Common functional principal components. Annals of Statistics, 37, 1-34
     
  • KNEIP, A., SIMAR, L. and WILSON,P. (2008). Asymptotics and consistent bootstraps for DEA estimators in nonparametric frontier models. Econometric Theory, 24, 1663-1697
     
  • KNEIP, A. and RAMSAY, J. (2008). Combining registration and fitting for functional models. Journal of the American Statistical Association, 103, 1155-1165
     
  • CARDOT, H., CRAMBES, Ch., KNEIP. A and P. SARDA (2007). Smoothing Splines Estimators in Functional Linear Regression with Errors-in-Variables. Computational Statistics & Data Analysis, 51, 4832-4848.
     
  • HILDENBRAND, W. and KNEIP, A. (2005). Aggregate behavior and microdata. Games and Economic Behavior, 50, 3-27
     
  • HILDENBRAND, W. and KNEIP, A. (2005). On behavioral heterogeneity. Economic Theory, 25, 155-169
     
  • KNEIP, A., SICKLES, R.C. and SONG, W. (2004). Functional data analysis and mixed effect models. in: COMPSTAT 2004 - Proceedings in Computational Statistics ; ed. Antoch, J., Springer Verlag, New York, 315-326
     
  • GIJBELS, I., HALL, P. and KNEIP, A. (2004). Interval and band estimation for curves with jumps. Journal of Applied Probability, 41A, 65-79
     
  • KNEIP, A. and UTIKAL, K. (2001). Inference for density families using functional principal component analysis. Journal of the American Statistical Association, 96, 519-532 (with discussion)
     
  • KNEIP, A. and UTIKAL, K. (2001). Rejoinder to the discussion of ''Inference for density families using functional principal component analysis''. Journal of the American Statistical Association, 96, 540-542
     
  • KNEIP, A. and UTIKAL, K. (2001). Time trends in the joint distribution of income and age. in: Economic Essays, A Festschrift for Werner HILDENBRAND; ed. Debreu, G., Neuefeind, W., and Trockel, W. , Springer Verlag, New York, Heidelberg, 253-274
     
  • KNEIP, A., Li, X., MACGIBBON, B. and RAMSAY, J.O. (2000). Curve registration by local regression. Canadian Journal of Statistics, 28, 19-30
     
  • HILDENBRAND, W., KNEIP, A. and UTIKAL, K. (1999). Une analyse non paramétrique des distributions du revenu et des caractéristiques des ménages. Revue de Statistique Appliquée, 47, 39-56
     
  • HÄRDLE, W. and KNEIP, A. (1999). Testing a regression model when we have smooth alternatives in mind. Scandinavian Journal of Statistics, 26, 221-238
     
  • GIJBELS, I., HALL, P. and KNEIP, A. (1999). On the estimation of jump points in smooth curves. Annals of the Institute of Statistical Mathematics, 51, 231-251
     
  • KNEIP, A. (1999). Behavioral heterogeneity and structural properties of aggregate demand. Journal of Mathematical Economics, 31, 49-79
     
  • HILDENBRAND, W. and KNEIP, A. (1999). Demand aggregation under structural stability. Journal of Mathematical Economics, 31, 81-109
     
  • KNEIP, A. (1999). Comment on ''Robust functional data analysis'' by Locantore, N, Marron, J.S., Simpson, D.G, Triploi, N., Zhang, J.T. and Cohen, K.L. Test, 8, 50-54
     
  • KNEIP, A., PARK, B.U. and SIMAR, L. (1998). A note on the convergence of nonparametric DEA estimators for production efficiency scores. Econometric Theory, 14, 783-793
     
  • KNEIP, A. (1998). Comment on ''Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves'' by Brumback, B. and Rice, J. Journal of the American Statistical Association, 93, 984-986
     
  • ENGEL, J. and KNEIP, A. (1996). Comment on ''Flexible smoothing with B-splines and penalties'' by Eilers, P.H.C, and Brian, D.M. Statistical Science, 11, 109-110
     
  • KNEIP, A. and ENGEL, J. (1996). A remedy for kernel regression under random design. Statistics, 28, 201-225
     
  • ENGEL, J. and KNEIP, A. (1996). Recent approaches to estimating Engel curves. Journal of Economics, 63, 187-212
     
  • KNEIP, A. and SIMAR, L. (1996). A general framework for frontier estimation with panel data. Journal of Productivity Analysis, 7, 187-212
     
  • KNEIP, A. (1995). Discussion of ''Econometrics of Information and Efficiency'' by Jati K. Sengupta. Journal of Economics, 61, 336-337
     
  • GASSER, T. and KNEIP, A. (1995). Searching for structure in curve samples. Journal of the American Statistical Association, 90, 1179-1188
     
  • KNEIP, A. and ENGEL, J. (1995). Model estimation in nonlinear regression under shape invariance. Annals of Statistics, 23, 551-570
     
  • ENGEL, J. and KNEIP, A. (1995). Model estimation in nonlinear regression. in: Statistical Modelling, Proceedings of the 10th International Workshop on Statistical Modelling; ed. Seeber G.U.H., Francis B.J., Hatzinger R., Steckel-Berger G. , Springer Verlag, New York, Heidelberg
     
  • KNEIP, A. (1994). Nonparametric estimation of common regressors for similar curve data. Annals of Statistics, 22, 1386-1428
     
  • KNEIP, A. (1994). Ordered linear smoothers. Annals of Statistics, 22, 835-866
     
  • GASSER, T., KNEIP, A., ZIEGLER, P., MOLINARI, L., PRADER, A. and LARGO, R. (1994). Development and outcome of indices of obesity in normal children. Annals of Human Biology, 21, 275-286
     
  • HILDENBRAND, W. and KNEIP, A. (1993). Family expenditure data, heteroscedasticity and the law of demand. Richerche Economiche, 47, 137-165
     
  • GASSER, T., ZIEGLER, P., KNEIP, A., PRADER, A., MOLINARI, L. and LARGO, R. (1993). The dynamics of growth of weight, circumferences and skinfolds in distance, velocity and acceleration Annals of Human Biology, 20, 239-259
     
  • HERRMANN, E., GASSER, T. and KNEIP, A. (1992). Choice of bandwidth for kernel regression when residuals are correlated. Biometrika, 79, 783-796
     
  • KNEIP, A. and GASSER, T. (1992). Statistical tools to analyze data representing a sample of curves. Annals of Statistics, 20, 1266-1305
     
  • GASSER, T., KNEIP, A. and KÖLER, W. (1991). A flexible and fast method for automatic smoothing. Journal of the American Statistical Association, 86, 643--652
     
  • GASSER, T., KNEIP, A., ZIEGLER, P., LARGO, R. and PRADER, A. (1991). The dynamics of growth of width in distance, velocity and acceleration. Annals of Human Biology, 18, 449--461
     
  • GASSER, T., KNEIP, A., BINDING, A., PRADER, A. and MOLINARI, L. (1991). The dynamics of linear growth in distance, velocity and acceleration. Annals of Human Biology, 18, 187--205
     
  • GASSER, T., KNEIP, A., ZIEGLER, P., LARGO, R. and PRADER, A. (1990). A method for determining the dynamics and intensity of average growth. Annals of Human Biology, 17, 459--474
     
  • KNEIP, A. and PFEIFFER-KURDA, M. (1990). Anmerkungen zu ''Gauquelins Planetenhypothese: Stein des Anstoßes oder Prüfstein der Vernunft'' von Suitbert Ertel. Psychologische Rundschau, 23, 235--237
     
  • GASSER, T. and KNEIP, A. (1990). Analysis of samples of curves. in: Non-parametric functional estimation and related topics. ed. G.G. Roussas, NATO ASI Series, Kluwer Academic Publishers
     
  • GASSER, T. and KNEIP, A. (1989). Discussion of ''Linear smoothers and additive models'' by A. Buja, T. Hastie, R. Tibshirani. Annals of Statistics, 17, 532--535
     
  • GASSER, T., KNEIP, A., BINDING, A., LARGO, R. and MOLINARI, L. (1989). Flexible methods for nonparametric fitting of individual and sample growth curves. in: Anxology 88, ed. J.M. Tanner, Smith-Gordon, London
     
  • KNEIP, A. and GASSER, T. (1988). Convergence and consistency results for self modeling nonlinear regression. Annals of Statistics, 11, 82--112
     
  • GASSER, T., KÖHLER, W., MÜLLER, H.G., KNEIP, A., LARGO, R. and MOLINARI, L. (1984). Velocity and Acceleration of height growth using kernel estimation. Annals of Human Biology, 11, 397--411
     
  • HÄRDLE, W. and KNEIP, A. (1983). DACAPO: Ein Programm-Paket zur graphischen Verarbeitung von Daten und Funktionen. Angewandte Informatik, 7, Depot
     
  • GASSER, T., KNEIP, A. and VERLEGER, R. (1982). Modification of the EEG time constant by digital filtering. Psychophysiology, 19, 237--240

 

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