Jussi Klemelä, Preprints

• J. Klemelä. Level Set Tree Methods, 2018. (Home page of the article)


• J. Klemelä. Covariance Prediction Using Kernel Regression, 2018. (Home page of the article)


• J. Klemelä. Volatility Prediction Using Kernel Regression, 2017. (Home page of the article)


• L. Holmström, K. Karttunen, and J. Klemelä. Estimation of level set trees using adaptive partitions, 2015. (PDF, home page of the article)


• K. Karttunen, L. Holmström, and J. Klemelä. Level set trees with enhanced marginal density visualization, 2013. (PDF)


• J. Klemelä. Bin smoother, 2012. (PDF)


• J. Klemelä and E. Mammen. Empirical risk minimization in inverse problems: Extended technical version, 2009. (PDF)


• S. Hoderlein, J. Klemelä, and E. Mammen. Analyzing the random coefficient model nonparametrically, 2008. (PDF)


• J. Klemelä. Analysis of the shapes of unimodal densities with nonparametric density estimation, 2008. (PDF)


• J. Klemelä. Level set trees and the analysis of shapes, 2008. (PDF)


• J. Klemelä. Prototypes of visualization tools, 2006. (PDF)


• J. Klemelä. Visualization of the spread of multivariate distributions, 2005. (gzipped PostScript, PDF)


• J. Klemelä. Visualization of scales of multivariate density estimates, 2005. (PDF)


• J. Klemelä. Visualization of multivariate data with tail trees, 2005. (PDF)


• J. Klemelä Density estimation with stagewise optimization of the empirical risk, 2005. (compressed PostScript, PDF)


• J. Klemelä. Density estimation with locally identically distributed data and with locally stationary data, 2005. (PostScript, PDF)


• J. Klemelä. Visualization of multivariate density estimates with shape trees, 2004. (gzipped PostScript , PDF)


• J Klemelä. Algorithms for manipulation of level sets of nonparametric density estimates, 2003. (gzipped PostScript, PDF, Homepage of the article)


• J. Klemelä. Complexity penalized support estimation, 2002. (gzipped PostScript, PDF, Abstract and software)


• J. Klemelä. Multivariate histograms with data-dependent partitions, 2001. (PDF)


• J. Klemelä. Optimal recovery and statistical estimation in Lp Sobolev classes, 2003. (PostScript, PDF, Homepage of the article)


• J. Horowitz, J. Klemelä and E. Mammen. Optimal estimation in additive regression. 2002.


• J. Klemelä and A. B. Tsybakov. Exact constants for pointwise adaptive estimation under the Riesz transform, 2001. (PostScript, PDF)


• J. Klemelä. Adaptive estimation of the location of the mode of a multivariate density, 2000. (gzipped PostScript)


• J. Klemelä. Sharp adaptive estimation of quadratic functionals. Prépublication 529, Laboratoire de Probabilités et Modèles Aléatoires, Universités de Paris 6 et Paris 7, 1999. (PostScript, PDF, Abstract and software)


• J. Klemelä and A. B. Tsybakov. Sharp adaptive estimation of linear functionals. Prépublication 540, Laboratoire de Probabilités et Modèles Aléatoires, Universités de Paris 6 et Paris 7, 1999. (PostScript, PDF)


• J. Klemelä. Visualization of multivariate density estimates with level set trees, 2000. (gzipped PostScript, PDF, Homepage of the article , Software )


• J. Klemelä. Lower bounds for the asymptotic minimax risk with spherical data, 2000. (PostScript)


• J. Klemelä. Asymptotic minimax risk in the uniform norm for the white noise model on the sphere. Discussion Paper 21, Sonderforschungbereich 373, Humboldt Universität, Berlin, 1998. (PostScript)


• J. Klemelä. Estimation of densities and derivatives of densities at a point with spherical data. Technical report, 1997. Partly published in Journal of Multivariate Analysis, 73:18-40,2000. (PostScript)


• J. Klemelä. Integrated risk of the kernel estimator with spherical data. Technical report, 1997. Partly published in Journal of Multivariate Analysis, 73:18-40,2000. (PostScript)


• J. Klemelä. Estimation of densities and functionals of densities with spherical data. A 16, Rolf Nevanlinna Institute, 1997. (PDF)