Hannes Matuschek

University of Potsdam

10Publications

5H-index

288Citations

Publications 10

Newest

#1Hannes Matuschek (University of Potsdam)H-Index: 5

#2Reinhold Kliegl (University of Potsdam)H-Index: 59

The analysis of large experimental datasets frequently reveals significant interactions that are difficult to interpret within the theoretical framework guiding the research. Some of these interactions actually arise from the presence of unspecified nonlinear main effects and statistically dependent covariates in the statistical model. Importantly, such nonlinear main effects may be compatible (or, at least, not incompatible) with the current theoretical framework. In the present literature, thi...

Linked linear mixed models: A joint analysis of fixation locations and fixation durations in natural reading

#1Sven Hohenstein (University of Potsdam)H-Index: 8

#2Hannes Matuschek (University of Potsdam)H-Index: 5

Last.Reinhold Kliegl (University of Potsdam)H-Index: 59

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The complexity of eye-movement control during reading allows measurement of many dependent variables, the most prominent ones being fixation durations and their locations in words. In current practice, either variable may serve as dependent variable or covariate for the other in linear mixed models (LMMs) featuring also psycholinguistic covariates of word recognition and sentence comprehension. Rather than analyzing fixation location and duration with separate LMMs, we propose linking the two ac...

#1Hannes Matuschek (University of Potsdam)H-Index: 5

#2Reinhold Kliegl (University of Potsdam)H-Index: 59

Last.Douglas M. Bates (UW: University of Wisconsin-Madison)H-Index: 32

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Abstract Linear mixed-effects models have increasingly replaced mixed-model analyses of variance for statistical inference in factorial psycholinguistic experiments. Although LMMs have many advantages over ANOVA, like ANOVAs, setting them up for data analysis also requires some care. One simple option, when numerically possible, is to fit the full variance-covariance structure of random effects (the maximal model; Barr, Levy, Scheepers & Tily, 2013), presumably to keep Type I error down to the n...

Smoothing Spline ANOVA Decomposition of Arbitrary Splines: An Application to Eye Movements in Reading

#1Hannes Matuschek (University of Potsdam)H-Index: 5

#2Reinhold Kliegl (University of Potsdam)H-Index: 59

Last.Matthias Holschneider (University of Potsdam)H-Index: 24

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The Smoothing Spline ANOVA (SS-ANOVA) requires a specialized construction of basis and penalty terms in order to incorporate prior knowledge about the data to be fitted. Typically, one resorts to the most general approach using tensor product splines. This implies severe constraints on the correlation structure, i.e. the assumption of isotropy of smoothness can not be incorporated in general. This may increase the variance of the spline fit, especially if only a relatively small set of observati...

#1Laura V. Schaefer (University of Potsdam)H-Index: 2

#2Arndt H. Torick (University of Potsdam)H-Index: 1

Last.Frank N. Bittmann (University of Potsdam)H-Index: 2

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Muscles oscillate with a frequency around 10 Hz. But what happens with myofascial oscillations, if two neuromuscular systems interact? The purpose of this study was to examine this question, initially, on the basis of a case study. Oscillations of the triceps brachii muscles of two subjects were determined through mechanomyography (MMG) during isometric interaction. The MMG-signals were analyzed concerning the interaction of the two subjects with algorithms of nonlinear dynamics. In this case st...

#1Philipp Thomas (Edin.: University of Edinburgh)H-Index: 13

#2Hannes Matuschek (University of Potsdam)H-Index: 5

Last.Ramon Grima (Edin.: University of Edinburgh)H-Index: 29

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Background The linear noise approximation (LNA) is commonly used to predict how noise is regulated and exploited at the cellular level. These predictions are exact for reaction networks composed exclusively of first order reactions or for networks involving bimolecular reactions and large numbers of molecules. It is however well known that gene regulation involves bimolecular interactions with molecule numbers as small as a single copy of a particular gene. It is therefore questionable how relia...

Oct 1, 2012 in BIBM (Bioinformatics and Biomedicine)

#1Philipp Thomas (Edin.: University of Edinburgh)H-Index: 13

#2Hannes Matuschek (University of Potsdam)H-Index: 5

Last.Ramon Grima (Edin.: University of Edinburgh)H-Index: 29

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The linear noise approximation is commonly used to obtain intrinsic noise statistics for biochemical networks. These estimates are accurate for networks with large numbers of molecules. However it is well known that many biochemical networks are characterized by at least one species with a small number of molecules. We here describe version 0.3 of the software intrinsic Noise Analyzer (iNA) which allows for accurate computation of noise statistics over wide ranges of molecule numbers. This is ac...

Intrinsic Noise Analyzer: A Software Package for the Exploration of Stochastic Biochemical Kinetics Using the System Size Expansion

#1Philipp Thomas (Humboldt University of Berlin)H-Index: 13

#2Hannes Matuschek (University of Potsdam)H-Index: 5

Last.Ramon Grima (Edin.: University of Edinburgh)H-Index: 29

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The accepted stochastic descriptions of biochemical dynamics under well-mixed conditions are given by the Chemical Master Equation and the Stochastic Simulation Algorithm, which are equivalent. The latter is a Monte-Carlo method, which, despite enjoying broad availability in a large number of existing software packages, is computationally expensive due to the huge amounts of ensemble averaging required for obtaining accurate statistical information. The former is a set of coupled differential-di...

Efficient fluctuation analysis of biochemical pathways beyond the linear noise approximation using iNA

#1Philipp ThomasH-Index: 13

#2Hannes MatuschekH-Index: 5

Last.Ramon GrimaH-Index: 29

view all 3 authors...

#1Reinhold KlieglH-Index: 59

#2Hannes MatuschekH-Index: 5

Last.Matthias HolschneiderH-Index: 24

view all 3 authors...

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