Juha Karvanen

Contact info  |  Education  |  Work experience  |  Publications  |  Teaching  | Work as reviewer

Juha Karvanen

Contact info

Education

Work experience

Publications

Journal Papers

  1. J. Karvanen, O. Saarela, K. Kuulasmaa, Nonparametric multiple imputation of left censored event times in analysis of follow-up data. Journal of Data Science Volume 8, pages 151–172, 2010.
  2. O. Saarela, S. Kulathinal, J. Karvanen, Joint analysis of prevalence and incidence data using conditional likelihood. Biostatistics, Volume 10, pages 575–587, 2009.
  3. K. Asplund, J. Karvanen, S. Giampaoli, P. Jousilahti, M. Niemelä, G. Broda, G. Cesana, J. Dallongeville, P. Ducimetriere, A. Evans, J. Ferrières, B. Haas, T. Jorgensen, A. Tamosiunas, D. Vanuzzo, P.-G. Wiklund, J. Yarnell, K. Kuulasmaa, S. Kulathinal, for the MORGAM Project, Relative risks for stroke by age, sex and population based on follow-up of 18 European populations in the MORGAM Project. Stroke, 10.1161/STROKEAHA.109.547869, 2009.
  4. J. Karvanen, F. E. Harrell Jr., Visualizing covariates in proportional hazards model. Statistics in Medicine, Volume 28, pages 1957–1966, 2009.
  5. J. Karvanen, S. Kulathinal, D. Gasbarra, Optimal designs to select individuals for genotyping conditional on observed binary or survival outcomes and non-genetic covariates. Computational Statistics & Data Analysis, Volume 53, pages 1782–1793, 2009. [The earlier title was "D-optimal designs for collecting genetic information in follow-up studies".]
  6. Coronary Artery Disease Consortium, Large scale association analysis of novel genetic loci for coronary artery disease. Arteriosclerosis, Thrombosis, and Vascular Biology, Volume 29, pages 774–780, 2009.
  7. J. Karvanen, Approximate cost-efficient sequential designs for binary response models with application to switching measurements. Computational Statistics & Data Analysis, Volume 53, pages 1167–1176, 2009. [The earlier title was "Cost-efficient sequential designs for binary response models"].
  8. J. Karvanen, K. Silander, F. Kee, L. Tiret, V. Salomaa, K. Kuulasmaa, P.-G. Wiklund, J. Virtamo, O. Saarela, C. Perret, M. Perola, L. Peltonen, F. Cambien, J. Erdmann, N. J. Samani, H. Schunkert, A. Evans, for the MORGAM Project, The impact of newly-identified loci on coronary heart disease, stroke and total mortality in the MORGAM prospective cohorts. Genetic Epidemiology, Volume 33, pages 237–246, 2009.
  9. K. Silander, M. Alanne, K. Kristiansson, O. Saarela, S. Ripatti, K. Auro, J. Karvanen, S. Kulathinal, M. Niemelä, P. Ellonen, E. Vartiainen, P. Jousilahti, J. Saarela, K. Kuulasmaa, A. Evans, M. Perola, V. Salomaa, L. Peltonen, Gender Differences in Genetic Risk Profiles for Cardiovascular Disease, PLoS ONE 3(10): e3615, 2008.
  10. J. Karvanen, Efficient initial designs for binary response data.  Statistical Methodology, Volume 5, pages 462–473, 2008.
  11. J. Karvanen, A. Nuutinen, Characterizing the generalized lambda distribution by L-moments. Computational Statistics & Data Analysis, Volume 52, pages 1971–1983, 2008.
  12. S. Kulathinal, J. Karvanen, O. Saarela, K. Kuulasmaa, for the MORGAM Project, Case-cohort design in practice — experiences from The MORGAM Project. Epidemiologic Perspectives & Innovations 4:15, 2007.
  13. J. Karvanen, G. Veronesi, K. Kuulasmaa, Defining thirds of schooling years in population studies. European Journal of Epidemiology, Volume 22, Number 8, pages 487–492, 2007
  14. J. Karvanen, J. J. Vartiainen, A. Timofeev, J. Pekola, Experimental designs for binary data in switching measurements on superconducting Josephson junctions. Journal of the Royal Statistical Society: Series C (Applied Statistics) 56 (2), 167–181, 2007.
     
  15. J. Karvanen, Estimation of quantile mixtures via L-moments and trimmed L-moments, Computational Statistics & Data Analysis, Volume 51, Issue 2, pages 947–959, 2006.
    [Quantile mixtures are applied to modeling of stock index returns]
     
  16. J. Karvanen, A resampling test for the total independence of stationary time series: application to the performance evaluation of ICA algorithms, Neural Processing Letters, Volume 22, Number 3, pages 311–324, 2005.
     
  17. Z. Leonowicz, J. Karvanen, S. L. Shiskin Trimmed estimators for robust averaging of event-related potentials, Journal of Neuroscience Methods, Volume 142, Issue 1, pages 17–26, 2005.
  18. J. Karvanen, V. Koivunen Independent component analysis via optimum combining of kurtosis and skewness-based criteria, Journal of the Franklin Institute, Volume 341, Issue 5, pages 401–418, 2004.
  19. J. Karvanen, The statistical basis of laboratory data normalization, Drug Information Journal, Volume 37, Issue 1, pages 101–107, 2003.
  20. J. Karvanen, V. Koivunen, Blind separation methods based on Pearson system and its extensions, Signal Processing, Volume 82, Issue 4, pages 663–673, 2002.
  21. J. Karvanen, J. Eriksson, V. Koivunen, Adaptive score functions for maximum likelihood ICA, Journal of VLSI Signal Processing Systems, Volume 32, pages 83–92, 2002.

Refereed Conference Publications

  1. J. Karvanen, T. Tanaka, Temporal decorrelation as preprocessing for linear and post-nonlinear ICA, Lecture Notes in Computer Science, Volume 3195,  pages 774–781, 2004. (ICA2004, Granada, Spain, September 2004).
  2. Z. Leonowicz, J. Karvanen, T. Tanaka, J. Rezmer, Model order selection criteria: comparative study and applications, Proceedings of the VIth International Workshop ``Computational Problems of Electrical Engineering'' (CPEE 2004), pages 193–196, Zakopane, Poland, September 2004.
  3. J. Karvanen, F. Theis, Spatial ICA of fMRI data in time windows, AIP Conference Proceedings, Volume 735(1) pages 312–319, 2004. (24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany, July 2004)
  4. J. Karvanen, A. Cichocki, Measuring sparseness of noisy signals, Proceedings of Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, ICA2003, pages 125–130, Nara, Japan, April 2003.
  5. J. Karvanen, Generation of correlated non-Gaussian random variables from independent components, Proceedings of Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, ICA2003, pages 769–774, Nara, Japan, April 2003.
  6. J. Karvanen, V. Koivunen, Blind separation using absolute moments based adaptive estimating function, Proceedings of the Third International Conference on Independent Component Analysis and Signal Separation, ICA2001, pp. 218–223, San Diego, USA, December 2001.
  7. J. Karvanen, V. Koivunen, Blind separation of communication signals using Pearson system based method, Proceedings of The Thirty-Fifth Annual Conference on Information Sciences and Systems, Volume II, pp. 764–767, Baltimore, USA, March 2001.

  8. J. Karvanen, J. Eriksson, V. Koivunen, Maximum likelihood estimation of ICA-model for wide class of source distributions, Proceedings of the 2000 IEEE Workshop on Neural Networks for Signal Processing X, Sydney, Australia, December 2000, pp. 445–454.
  9. J. Karvanen, J. Eriksson, V. Koivunen, Pearson system based method for blind separation, Proceedings of Second International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000), Helsinki, Finland, June 2000, pp. 585–590

  10. J. Eriksson, J. Karvanen, V. Koivunen, Source distribution adaptive maximum likelihood estimation of ICA model, Proceedings of Second International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000), Helsinki, Finland, June 2000, pp. 227–232
  11. J. Karvanen, P. Kuosmanen, J. Astola, On output distributions of rational filters in the case of uniform noise, Proceedings of Second International Workshop on Proceedings of NORSIG'98, IEEE Nordic Signal Processing Symposium, 1998, pp. 145–147

Other publications

  1. J. Karvanen, K. Silander, F. Kee, L. Tiret, V. Salomaa, K. Kuulasmaa, P.-G. Wiklund, J. Virtamo, O. Saarela, C. Perret, M. Perola, L. Peltonen, F. Cambien, J. Erdmann, N. J. Samani, H. Schunkert, A. Evans, for the MORGAM Project. The impact of newly-identified loci on coronary heart disease, stroke and total mortality in the MORGAM prospective cohorts: supplement to the paper published in Genetic Epidemiology. Available from URL:http://www.ktl.fi/publications/morgam/cardiogenics/index.html, URN:NBN:fi-fe200811052059. 2008.

Theses

  1. J. Karvanen, Adaptive Methods for Score Function Modeling in Blind Source Separation, D. Sc. (Tech.) Thesis, Helsinki University of Technology, August 2002.
  2. J. Karvanen, Stokastiset pisteprosessit ja niiden soveltaminen talouselämässä (in Finnish), Master thesis, University of Tampere, November 1998.

Abstracts, posters and presentations

  1. J. Karvanen, Design and analysis of follow-up studies with genetic component, useR! 2008, Dortmund, August 2008
  2. S. Kulathinal, J. Karvanen, O. Saarela, K. Kuulasmaa MORGAM Case-Cohort Study: Subcohort Selection Procedure and Approaches to Statistical Analysis, GenomEUtwin Scientific Meeting. Rome, 14–15 December, 2006.
  3. J. Karvanen, Visualizing covariates in proportional hazards model using R, useR! 2006, Vienna, June 2006
  4. J. Karvanen, S. Kulathinal, K. Kuulasmaa, Nonparametric multiple imputation of event times for subjects with CHD at baseline in MORGAM genetic study, Twin Research, Volume 7, Number 6, December 2004, pp. 680–689(10), GenomEUtwin Scientific Meeting. Rome, 13–14 December, 2004

Software

  1. PearsonICA R package (from CRAN), 2006
  2. Experimental design for switching measurements, Matlab code, 2005
  3. Lmoments R package (from CRAN), 2005
  4. Generation of correlated non-Gaussian random variables from independent components, Matlab code version 1.1, 2002-2007 (with contributions by Milton Woods)
  5. Pearson-ICA version 1.2, Matlab code, 2000 (with Jan Eriksson and Visa Koivunen)
  6. EGLD-ICA, Matlab code, 2000 (with Jan Eriksson and Visa Koivunen)

Teaching

Courses

Thesis supervised

Work as reviewer

Statistics

Signal processing and neural networks

Epidemiology and genetics

Finance



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