David Källberg

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david.kallberg@umu.se

090-786 64 93

Verksam vid

Universitetslektor vid Handelshögskolan vid Umeå universitet Enhet: Statistik

Samhällsvetarhuset, Biblioteksgränd 6 Umeå universitet, 901 87 Umeå

Large sample properties of entropy balancing estimators of average causal effects

Econometrics and Statistics

Källberg, David; Waernbaum, Ingeborg

Comparison of Methods for Feature Selection in Clustering of High-Dimensional RNA-Sequencing Data to Identify Cancer Subtypes

Frontiers in Genetics, Frontiers Media S.A. 2021, Vol. 12

Källberg, David; Vidman, Linda; Rydén, Patrik

Combining epigenetic and clinicopathological variables improves specificity in prognostic prediction in clear cell renal cell carcinoma

Journal of Translational Medicine, Vol. 18, (1)

Andersson-Evelönn, Emma; Vidman, Linda; Källberg, David; et al.

Cluster analysis on high dimensional RNA-seq data with applications to cancer research: An evaluation study

PLOS ONE, San Francisco: Public Library of Science 2019, Vol. 14, (12)

Vidman, Linda; Källberg, David; Rydén, Patrik

A moment-distance hybrid method for estimating a mixture of two symmetric densities

Modern Stochastics: Theory and Applications, Vol. 5, (1) : 1-36

Källberg, David; Belyaev, Yuri; Rydén, Patrik

The HRD-Algorithm: a general method for parametric estimation of two-component mixture models

Lecture Notes in Computer Science, Springer 2017, Vol. 10684 : 497-508

Rydén, Patrik; Källberg, David; Belyaev, Yu. K.

Estimation of entropy-type integral functionals

Communications in Statistics - Theory and Methods, Vol. 45, (4) : 887-905

Källberg, David; Seleznjev, Oleg

Statistical estimation of quadratic Rényi entropy for a stationary m-dependent sequence

Journal of nonparametric statistics (Print), Taylor & Francis 2014, Vol. 26, (2) : 385-411

Källberg, David; Leonenko, Nikolaj; Seleznjev, Oleg

Nonparametric Statistical Inference for Entropy-type Functionals

Umeå: Umeå universitet 2013

Källberg, David

Statistical inference for Rényi entropy functionals

Conceptual modelling and its theoretical foundations, Springer Berlin/Heidelberg 2012 : 36-51

Källberg, David; Leonenko, Nikolaj; Oleg, Seleznjev

Statistical modeling for image matching in large image databases

2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing, IEEE 2011 : 648-652

Källberg, David; Seleznjev, Oleg; Leonenko, Nikolaj; et al.

Combining epigenetic and clinicopathological variables improves prognostic prediction in clear cell Renal Cell Carcinoma

Andersson-Evelönn, Emma; Vidman, Linda; Källberg, David; et al.

Estimation of quadratic density functionals under m-dependence

Källberg, David; Seleznjev, Oleg

Comparison of methods for variable selection in clustering of high-dimensional RNA-sequencing data to identify cancer subtypes

Källberg, David; Vidman, Linda; Rydén, Patrik

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Stat4Reg