PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Thorsten Dickhaus

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Number of EPrints submitted by this user: 23

On optimal channel configurations for SMR-based brain-computer interfaces
Claudia Sannelli, Thorsten Dickhaus, Sebastian Halder, Eva Maria Hammer, Klaus-Robert Müller and Benjamin Blankertz
Brain Topography Volume to appear, 2010. ISSN 0896-0267

Neurophysiological Predictor of SMR-Based BCI Performance
Benjamin Blankertz, Claudia Sannelli, Sebastian Halder, Eva Maria Hammer, Andrea Kübler, Klaus-Robert Müller, Gabriel Curio and Thorsten Dickhaus
NeuroImage 2010. ISSN 1053-8119

On the False Discovery Rate and an Asymptotically Optimal Rejection Curve
Helmut Finner, Thorsten Dickhaus and Markus Roters
The Annals of Statistics Volume 37, Number 2, pp. 596-618, 2009. ISSN 0090-5364

Predicting BCI Performance to Study BCI Illiteracy
Thorsten Dickhaus, Claudia Sannelli, Klaus-Robert Müller, Gabriel Curio and Benjamin Blankertz
BMC Neuroscience Volume 10, Number Suppl 1, P84, 2009. ISSN 1471-2202

Strict FDR-control based on the asymptotically optimal rejection curve
Helmut Finner, Veronika Gontscharuk and Thorsten Dickhaus
In: 55. Biometrisches Kolloquium, 07-09 Mar 2009, Hannover, Germany.

Strict FDR-control based on the asymptotically optimal rejection curve
Helmut Finner, Veronika Gontscharuk and Thorsten Dickhaus
In: 6th International Conference on Multiple Comparison Procedures - MCP 2009 Tokyo, 24-27 Mar 2009, Tokyo, Japan.

Das Berliner Brain-Computer Interface Projekt
Thorsten Dickhaus
In: Maiseminar der CJD-Studentenschaft, 20-24 May 2009, Geldern, Germany.

False Discovery Rate and Asymptotics
Thorsten Dickhaus
In: Research Seminar "Mathematical Statistics" at WIAS Berlin, 24 Jun 2009, Berlin, Germany.

Wahrscheinlichkeitstheoretische Grundlagen für False Discovery Rate-kontrollierende multiple Testprozeduren
Thorsten Dickhaus
In: Mathematical Colloquium at Department of Mathematics, Saarland University, 06 Jul 2009, Saarbrücken, Germany.

Edgeworth expansions and rates of convergence for generalized self-normalized sums
Thorsten Dickhaus and Helmut Finner
In: 33rd Conference on Stochastic Processes and Their Applications (SPA 2009), 27-31 Jul 2009, Berlin, Germany.

Stepwise variable selection using nonparametric multiple comparisons - On optimal channel configurations for SMR-based brain-computer interfaces
Claudia Sannelli, Thorsten Dickhaus, Sebastian Halder, Eva Hammer, Klaus-Robert Müller and Benjamin Blankertz
In: German Statistical Society Meeting "Statistische Woche 2009", 05-08 Oct 2009, Wuppertal, Germany.

On optimal channel configurations for SMR-based brain-computer interfaces via nonparametric multiple comparisons
Thorsten Dickhaus
In: μTOSS 2010 Berlin - Multiple Comparisons from Theory to Practice, 15-16 Feb 2010, Berlin, Germany.

How to link call rate and $p$-values for Hardy-Weinberg equilibrium as measures of genome-wide SNP data quality
Helmut Finner, Klaus Straßburger, Iris M. Heid, Christian Herder, Wolfgang Rathmann, Guido Giani, Thorsten Dickhaus, Peter Lichtner, Thomas Meitinger, Heinz-Erich Wichmann, Thomas Illig and Christian Gieger
Statistics in Medicine Volume 29, Number 22, pp. 2347-2358, 2010.

μTOSS - Multiple hypothesis testing in an open software system
Gilles Blanchard, Thorsten Dickhaus, Niklas Hack, Frank Konietschke, Kornelius Rohmeyer, Jonathan Rosenblatt, Marsel Scheer and Wiebke Werft
Journal of Machine Learning Research: Workshop and Conference Proceedings Volume 11, pp. 12-19, 2010.

Edgeworth expansions and rates of convergence for normalized sums: Chung's 1946 method revisited
Helmut Finner and Thorsten Dickhaus
Statistics & Probability Letters Volume 80, Number 23-24, pp. 1875-1880, 2010.

Epigenetic quantification of tumor-infiltrating T-lymphocytes
Jalid Sehouli, Christoph Loddenkemper, Tatjana Cornu, Tim Schwachula, Ulrich Hoffmüller, Andreas Grützkau, Philipp Lohneis, Thorsten Dickhaus, Jörn Gröne, Martin Kruschewski, Alexander Mustea, Ivana Turbachova, Udo Baron and Sven Olek
Epigenetics Volume 6, Number 2, pp. 236-246, 2011.

μTOSS - Multiple hypotheses testing in an open software system
Thorsten Dickhaus, Gilles Blanchard, Niklas Hack, Frank Konietschke, Kornelius Rohmeyer, Jonathan Rosenblatt, Marsel Scheer and Wiebke Werft
In: 2. joint Statistical Meeting Deutsche Arbeitsgemeinschaft Statistik "Statistics under one umbrella" (DAGStat 2010), Dortmund, Germany(2010).

Introduction to Machine Learning for Brain Imaging
Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus and Klaus-Robert Müller
NeuroImage 2010.

Implicitly adaptive FDR control based on the asymptotically optimal rejection curve
Thorsten Dickhaus, Helmut Finner and Veronika Gontscharuk
In: Statistics Mathematics and Applications, Frejus, France(2010).

Refined statistical inference methods for contingency table analyses in genetic association studies
Thorsten Dickhaus, Klaus Straßburger and Daniel Schunk
In: Adaptive Designs and Multiple Testing Procedures Workshop 2010, Vienna, Austria(2010).

How normal can the t-statistic possibly be?
Thorsten Dickhaus and Helmut Finner
In: Workshop on Validation in Statistics and Machine Learning, Berlin, Germany(2010).

Implicitly adaptive FDR control based on the asymptotically optimal rejection curve
Thorsten Dickhaus
In: Mathematical Colloquium, Bremen, Germany(2011).

The genetic basis of risk preferences
Thorsten Dickhaus and Daniel Schunk
In: Research Seminar "Mathematical Statistics", WIAS Berlin, Berlin, Germany(2010).