Thoralf Mildenberger

ZHAW Zurich University of Applied Sciences — Switzerland

Mathematics · Physical Sciences

8h-index705citations33works0.02yr avg
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Research Topics

Statistical Methods and Inference(11), Control Systems and Identification(4), Bayesian Methods and Mixture Models(4), Spectroscopy and Chemometric Analyses(3), Advanced Numerical Analysis Techniques(3)

Publications33 total

keyperm: Keyword Analysis Using Permutation Tests
2023Open Access
The Role of Data Scientists in Modern Enterprises - Experience from Data Science Education
ACM SIGMOD Record·2023· 1 citedOpen Access
Assessing Keyness using Permutation Tests
arXiv (Cornell University)·2023Open Access
Learning effectiveness of a flexible learning study programme in a blended learning design: why are some courses more effective than others?
International Journal of Educational Technology in Higher Education·2023· 105 citedOpen Access
Willingness to share data: Contextual determinants of consumers' decisions to share private data with companies
Journal of Consumer Behaviour·2021· 38 citedOpen Access
Facilitating flexible learning by replacing classroom time with an online learning environment: A systematic review of blended learning in higher education
Educational Research Review·2021· 466 citedOpen Access
Do we always need a difference? Testing equivalence in a blended learning setting
International Journal of Research & Method in Education·2019· 8 cited
Construction of Regular and Irregular Histograms with Different Options for Automatic Choice of Bins [R package histogram version 0.0-25]
2019
equivUMP: Uniformly Most Powerful Invariant Tests of Equivalence
2019Open Access
Uniformly Most Powerful Invariant Tests of Equivalence [R package equivUMP version 0.1.1]
2019
A model based two-stage classifier for airborne particles analyzed with Computer Controlled Scanning Electron Microscopy
Journal of Aerosol Science·2018· 11 citedOpen Access
Die Energienachfrage steuern: Handlungsempfehlungen zur Nutzung von Smart-Meter-Daten
GAIA - Ecological Perspectives for Science and Society·2016· 1 citedOpen Access
Simon Rogers and Mark Girolami: A first course in machine learning
Statistical Papers·2013Open Access
Stephen Marsland: Machine learning. An algorithmic perspective
Statistical Papers·2012· 11 cited
The benchden Package: Benchmark Densities for Nonparametric Density Estimation
RePEc: Research Papers in Economics·2012Open Access
The<b>benchden</b>Package: Benchmark Densities for Nonparametric Density Estimation
Journal of Statistical Software·2012· 9 citedOpen Access
Günther Sawitzki: Computational statistics. An introduction to R
Statistical Papers·2011
Tomohiro Ando: Bayesian model selection and statistical modeling
Statistical Papers·2011
André I. Khuri: Linear model methodology
Statistical Papers·2011
The Discrepancy Principle in Density Estimation
arXiv (Cornell University)·2011Open Access
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Frequent Co-authors

Yves Rozenholc(5), Ursula Gather(4), Henrike Weinert(4), Claude Müller(2), P. L. Davies(2), Monika Meise(2), Dieter Mergel(2), Andreas Ruckstuhl(2), D. M. Zasada(2), Daniel Steingruber(1), Kurt A. Ackermann(1), Linda Burkhalter(1), Martin Frey(1), Angela Bearth(1), Mario Meier(1), René Locher(1), Juanita Rausch(1), Thomas Zünd(1), Christoph Neururer(1), Bernard Grobéty(1)