Lasse Holmström

Professor, Department Chair

Contact Information

Lasse Holmström
University of Oulu
Department of Mathematical Sciences
P.O. Box 3000
FIN-90014, University of Oulu, Finland

Office: M238

Email: <Lasse.Holmstrom at oulu.fi>
Phone: +358 8 553 1739
Mobile: +358 50 563 7465
Fax: +358 9 553 1730

Research interests

Nonparametric function estimation, pattern recognition, data analysis applications in science and technology.

Research group homepage

The research group on nonparametric estimation of functions and its applications has its homepage at

http://cc.oulu.fi/~llh/group/

Teaching

Funktioiden estimointi (Function estimation, In Finnish)

Tilastollinen hahmontunnistus (Statistical Pattern Recognition, In Finnish)

Informaatioteoria (Information Theory, In Finnish)

Selected publications

• F. Godtliebsen, L. Holmström, A. Miettinen, P. Erästö, D. V. Divine, and N. Koc. Pairwise Scale-Space Comparison of Time Series with Application to Climate Research. Journal of Geophysical Research, 117, C03046, 2012. Available on-line at http://dx.doi.org/10.1029/2011JC007546.

• L. Holmström and L. Pasanen. Bayesian scale space analysis of differences in images. Technometrics, 54(1), 2012. Available on-line at http://dx.doi.org/10.1080/00401706.2012.648862.

• S. Salonen, L. Ilvonen, H. Seppä, L. Holmström, R. J. Telford, A. Gaidamavicius, M. Stancikaite, and D. Subetto. Comparing different calibration methods (WA/WA-PLS regression and Bayesian modelling) and different-sized calibration sets in pollen-based quantitative climate reconstruction. The Holocene, 22(4):413 -- 424, 2012.

• L. Holmström. Discussion of: A statistical analysis of multiple temperature proxies: are reconstructions of surface temperatures over the last 1000 years reliable? by B. B. McShane and A. J. Wyner. The Annals of Applied Statistics, 5(1):71 -- 75, 2011. Available on-line at http://dx.doi.org/10.1214/10-AOAS398H.

• L. Holmström, L. Pasanen, R. Furrer, and S. R. Sain. Scale space multiresolution analysis of random signals. Computational Statistics & Data Analysis, 55(10):2840 -- 2855, 2011. Available on-line at http://dx.doi.org/10.1016/j.csda.2011.04.011.

• L. Holmström. BSiZer. Wiley Interdisciplinary Reviews: Computational Statistics, 2(5):526-534, 2010. Available on-line at http://dx.doi.org/10.1002/wics.115.

• L. Holmström. Scale space methods. Wiley Interdisciplinary Reviews: Computational Statistics, 2(2):150-159, 2010. Available on-line at http://dx.doi.org/10.1002/wics.79.

• L. Holmström and P. Koistinen. Pattern recognition. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4):404-413, 2010. Available on-line at http://dx.doi.org/10.1002/wics.99.

• P. Koistinen, L. Holmström, and E. Tomppo. Smoothing methodology for predicting regional averagesin multi-source forest inventory. Remote Sensing of Environment, 112(3):862-871, 2008.

• P. Erästö and L. Holmström. Bayesian analysis of features in a scatter plot with dependent observations and errors in predictors. Journal of Statistical Computation and Simulation, 77(5):421-431, 2007.

• P. Erästö and L. Holmström. Bayesian multiscale smoothing for making inferences about features in scatter plots. Journal of Computational and Graphical Statistics, 14(3):569-589, 2005.

• F. Hoti and L. Holmström. A semiparametric density estimation approach to pattern classification. Pattern Recognition, 37(3):409-419, 2004.

• F. Hoti and L. Holmström. On the estimation error in binned local linear regression. Journal of Nonparametric Statistics, 15(4-5):625-642, 2003.

• L. Holmström and P. Erästö. Making inferences about past environmental change using smoothing in multiple time scales. Computational Statistics & Data Analysis, 41(2):289-309, 2002.

• L. Holmström. The error and the computational complexity of a multivariate binned kernel density estimator. Journal of Multivariate Analysis, 72(2):264-309, 2000.

• A. Korhola, J. Weckström, L. Holmström, and P. Erästö. A quantitative Holocene climatic record from diatoms in northern Fennoscandia. Quaternary Research, 54:284-294, 2000.

• L. Holmström and S.R. Sain. Multivariate discrimination methods for top quark analysis. Technometrics, 39(1):91-99, February 1997.

• L. Holmström, P. Koistinen, J. Laaksonen, and E. Oja. Neural and statistical classifiers--taxonomy and two case studies. IEEE Transactions on Neural Networks, 8(1):5-17, 1997.

• L. Holmström, S.R. Sain, and H.E. Miettinen. A new multivariate technique for top quark search. Computer Physics Communications, 88:195-210, 1995.

• L. Holmström and J. Klemelä. Asymptotic bounds for the expected L¹ error of a multivariate kernel density estimator. Journal of Multivariate Analysis, 42(2):245-266, 1992.

• L. Holmström and P. Koistinen. Using additive noise in back-propagation training. IEEE Transactions on Neural Networks, 3(1):24-38, January 1992.

CV and a complete list of publications

Lasse Holmström <Lasse.Holmstrom at oulu.fi> Last modified: Fri Dec 11 10:00:00 2011