Publications

• S. Hoderlein, J. Klemelä, and E. Mammen. (2010). Analyzing the Random Coefficient Model Nonparametrically. Econometric Theory. 26: 804-837.
  
  
• J. Klemelä and E. Mammen. (2010). Empirical risk minimization in inverse problems Ann. Statist. 38(1): 482-511.
  
  
• J. Klemelä. (2009). Smoothing of Multivariate Data: Density Estimation and Visualization. Wiley.
  
  
• J. Klemelä. (2009). Multivariate histograms with data-dependent partitions. Statistica Sinica. 19(1): 159-176.
  
  
• J. Klemelä. (2008). Density estimation with locally identically distributed data and with locally stationary data. J. Time Series Anal. 29(1): 125-141.
  
  
• J. Klemelä. (2008). Mode trees for multivariate data. J. Comput. Graph. Statist. 17(4): 860-869.
  
  
• J. Klemelä. (2007). Visualization of multivariate data with tail trees. Information Visualization 6: 109-122.
  
  
• J. Klemelä. (2007). Density estimation with stagewise optimization of the empirical risk. Machine Learn. 67: 169-195.
  
  
• J. Klemelä. (2006). Visualization of multivariate density estimates with shape trees. J. Comput. Graph. Statist. 15(2): 372-397.
  
  
• J. Klemelä. (2006). Sharp adaptive estimation of quadratic functionals. Probab. Theory Relat. Fields. 134(4): 539-564.
  
  
• J. Horowitz, J. Klemelä and E. Mammen. (2006). Optimal estimation in additive regression models. Bernoulli. 12(2): 271-198.
  
  
• J. Klemelä. (2005). Algorithms for the manipulation of level sets of nonparametric density estimates. Comput. Statist. 20: 349-368.
  
  
• J. Klemelä. (2005). Adaptive estimation of the mode of a multivariate density J. Nonparametr. Statist. 17(1): 83-105.
  
  
• J. Klemelä. (2004). Visualization of multivariate density estimates with level set trees. J. Comput. Graph. Statist. 13(3): 599-620.
  
  
• J. Klemelä. (2004). Complexity penalized support estimation. J. Multivariate Anal. 88: 274-297.
  
  
• J. Klemelä and A. B. Tsybakov. (2004). Exact constants for pointwise adaptive estimation under the Riesz transform. Probab. Theory Relat. Fields. 129: 441-467.
  
  
• J. Klemelä. (2003). Optimal recovery and statistical estimation in Lp Sobolev classes. Math. Methods Statist. 12: 429-453.
  
  
• J. Klemelä. (2003). Lower bounds for the asymptotic minimax risk with spherical data. J. Statist. Plann. Inference. 113: 113-136.
  
  
• J. Klemelä and A. B. Tsybakov. (2001). Sharp adaptive estimation of linear functionals. Ann. Statist. 29: 1567-1600.
  
  
• J. Klemelä (2000). Estimation of densities and derivatives of densities with directional data. J. Multivariate Anal. 73: 18-40.
  
  
• J. Klemelä, S. Klinke and H. Sofyan. (2000). Classification and regression trees. In W. Härdle, Z. Hlavka, and S. Klinke, eds, 'XploRe - Application Guide', Springer, pp. 281-304.
  
  
• J. Klemelä. (1999). Asymptotic minimax risk for the white noise model on the sphere. Scand. J. Statist. 26: 465-473.
  
  
• L. Holmström and J. Klemelä. (1991). Asymptotic bounds for the expected $L1$ error of a multivariate kernel density estimator. J. Multivariate Anal. 42: 245-266.