Fetching the paper…
Reading the bibliography…
We investigate properties of a bootstrap-based methodology for testing hypotheses about equality of certain characteristics of the distributions between different populations in the context of functional data.
Dauxois, J., Pousse, A. & Romain, Y. (1982). Asymptotic theory for the principal component analysis of a vector random function: some applications to statistical inference. Journal of Multivariate Analysis
1982
Earlier work this paper cites.
Politis, D.N. & Romano, J. (1992). Limit theorems for weakly dependent Hilbert space valued random variables with applications to the stationary bootstrap. Technical Report #92-49
1992
Earlier work this paper cites.
Bosq, D. (2000). Linear Processes in Function Spaces
2000
Earlier work this paper cites.
Ramsay, J.O. & Silverman, B.W. (2002). Applied Functional Data Analysis
2002
Earlier work this paper cites.
Rice, J.A. (2004). Functional and longitudinal data analysis: perspectives on smoothing. Statistica Sinica
2004
Earlier work this paper cites.
Müller, H.G. & Stadtmüller, U. (2005). Generalized functional linear models. Annals of Statistics
2005
Earlier work this paper cites.
Ramsay, J.O. & Silverman, B.W. (2005). Functional Data Analysis
2005
Earlier work this paper cites.
Ferraty, F. & Vieu, P. (2006). Nonparametric Functional Data Analysis: Theory and Practice
2006
Earlier work this paper cites.
Hall, P. & Van Keilegom, I. (2007). Two-sample tests in functional data analysis starting from discrete data. Statistica Sinica
2007
Earlier work this paper cites.
Reiss, P.T. & Ogden, R.T. (2007). Functional principal component regression and functional partial least squares. Journal of the American Statistical Association
2007
Cited alongside, same era.
Gervini, D. (2008). Robust functional estimation using the spatial median and spherical principal components. Biometrika
2008
Cited alongside, same era.
Benko, M., Härdle, W. & Kneip, A. (2009). Common functional principal components. Annals of Statistics
2009
Cited alongside, same era.
Ramsay, J.O., Hooker, G. & Graves, S. (2009). Functional Data Analysis in R and MATLAB
2009
Cited alongside, same era.
Gabrys, R. Horváth, L. & Kokoszka, P. (2010). Tests for error correlation in the functional linear model. Journal of the American Statistical Association
2010
Cited alongside, same era.
Gaines, G., Kaphle, K. & Ruymgaart, F. (2011). Application of a delta-method for random operators to testing equality of two covariance operators. Mathematical Methods of Statistics
2011
Later among the works it cites.
Fremdt, S., Steinebach, J.G., Horváth, L. & Kokoszka, P. (2012). Testing the equality of covariance operators in functional samples. Scandinavian Journal of Statistics
2012
Later among the works it cites.
Horváth, L. & Kokoszka, P. (2012). Inference for Functional Data with Applications
2012
Later among the works it cites.
Kraus, D. & Panaretos, V.M. (2012). Dispersion operators and resistant second-order functional data analysis. Biometrika
2012
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Panaretos, V.M., Kraus, D. & Maddocks, J.H. (2010). Second-order comparison of Gaussian random functions and the geometry of DNA minicircles. Journal of the American Statistical Association
2010
Cited alongside, same era.
Yao, F. & Müller, H.G. (2010). Functional quadratic regression. Biometrika
2010
Cited alongside, same era.
Zhang, C., Peng, H. & Zhang, J.-T. (2010). Two samples tests for functional data. Communications in Statistics - Theory and Methods
2010
Cited alongside, same era.
2013
Later among the works it cites.
Horváth, L., Kokoszka, P. & Reed, R. (2013). Estimation of the mean of functional time series and a two-sample problem. Journal of the Royal Statisticsal Sociery
2013
Later among the works it cites.
2014
Closest in time.
Pigoli, D., Aston, J.A.D., Dryden, I.L. & Secchi, P. (2014). Distances and inference for covariance operators. Biometrika
2014
Closest in time.