Výsledky vyhledávání - "Heinze Georg"

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Prediction modelling with many correlated and zero-inflated predictors: assessing a nonnegative garrote approach

Autor: Gregorich, Mariella, Kammer, Michael, Mischak, Harald, Heinze, Georg

Building prediction models from mass-spectrometry data is challenging due to the abundance of correlated features with varying degrees of zero-inflation, leading to a common interest in reducing the features to a concise predictor set with good predi

Externí odkaz: http://arxiv.org/abs/2402.02064

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Flexible parametrization of graph-theoretical features from individual-specific networks for prediction

Autor: Gregorich, Mariella, Simpson, Sean L., Heinze, Georg

Statistical techniques are needed to analyse data structures with complex dependencies such that clinically useful information can be extracted. Individual-specific networks, which capture dependencies in complex biological systems, are often summari

Externí odkaz: http://arxiv.org/abs/2308.15365

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Graph-to-local limit for a multi-species nonlocal cross-interaction system

Autor: Esposito, Antonio, Heinze, Georg, Pietschmann, Jan-Frederik, Schlichting, André

In this note we continue the study of nonlocal interaction dynamics on a sequence of infinite graphs, extending the results of [Esposito et. al 2023+] to an arbitrary number of species. Our analysis relies on the observation that the graph dynamics f

Externí odkaz: http://arxiv.org/abs/2306.17414

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Graph-to-local limit for the nonlocal interaction equation

Autor: Esposito, Antonio, Heinze, Georg, Schlichting, André

We study a class of nonlocal partial differential equations presenting a tensor-mobility, in space, obtained asymptotically from nonlocal dynamics on localising infinite graphs. Our strategy relies on the variational structure of both equations, bein

Externí odkaz: http://arxiv.org/abs/2306.03475

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Fractional Polynomials Models as Special Cases of Bayesian Generalized Nonlinear Models

Autor: Hubin, Aliaksandr, Heinze, Georg, De Bin, Riccardo

We propose a framework for fitting fractional polynomials models as special cases of Bayesian Generalized Nonlinear Models, applying an adapted version of the Genetically Modified Mode Jumping Markov Chain Monte Carlo algorithm. The universality of t

Externí odkaz: http://arxiv.org/abs/2305.15903

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Phases of methodological research in biostatistics - building the evidence base for new methods

Autor: Heinze, Georg, Boulesteix, Anne-Laure, Kammer, Michael, Morris, Tim P., White, Ian R.

Although the biostatistical scientific literature publishes new methods at a very high rate, many of these developments are not trustworthy enough to be adopted by the scientific community. We propose a framework to think about how a piece of methodo

Externí odkaz: http://arxiv.org/abs/2209.13358

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Nonlocal cross-interaction systems on graphs: Energy landscape and dynamics

Autor: Heinze, Georg, Pietschmann, Jan-Frederik, Schmidtchen, Markus

We explore the dynamical behavior and energetic properties of a model of two species that interact nonlocally on finite graphs. The authors recently introduced the model in the context of nonquadratic Finslerian gradient flows on generalized graphs f

Externí odkaz: http://arxiv.org/abs/2204.09553

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