Mertens, Ulf K. Dr. phil.; M.Sc.Universität HeidelbergHeidelberg
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Neueste Publikationen in heiBIB 
(ingesamt sind 12 Publikationen erfasst)
- Radev, Stefan: BayesFlow : learning complex stochastic models with invertible neural networks / Stefan T. Radev, Ulf K. Mertens, Andreas Voss, Lynton Ardizzone, and Ullrich Köthe, Member, IEEE, 2022. - 15 S.
In: IEEE transactions on neural networks and learning systems, ISSN 2162-237X. 33(2022), 4, Seite 1452-1466
DOI: 10.1109/TNNLS.2020.3042395
- Mertens, Alica: On the difficulty to think in ratios : a methodological bias in Stevens’ magnitude estimation procedure / Alica Mertens, Ulf K. Mertens, Veronika Lerche, 31 March 2021. - 19 S.
In: Attention, perception, & psychophysics, ISSN 1943-393X. 83(2021), 5, Seite 2347-2365
DOI: 10.3758/s13414-021-02266-5
- Schweinsberg, Martin: Same data, different conclusions : radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis / Martin Schweinsberg, Michael Feldman, Nicola Staub, Olmo R. van den Akker, Robbie C.M. van Aert, Mar… , 17 June 2021. - 22 S.
In: Organizational behavior and human decision processes, ISSN 0749-5978. 165(2021) vom: Juli, Seite 228-249
DOI: 10.1016/j.obhdp.2021.02.003
- Schweinsberg, Martin: Same data, different conclusions : radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis / Martin Schweinsberg, Michael Feldman, Nicola Staub, Olmo R. van den Akker, Robbie C.M. van Aert, Mar… , 2021. - 22 S.
DOI: 10.1016/j.obhdp.2021.02.003
- Radev, Stefan: Towards end‐to‐end likelihood‐free inference with convolutional neural networks / Stefan T. Radev, Ulf K. Mertens, Andreas Voss and Ullrich Köthe, 2020. - 21 S.
In: The British journal of mathematical and statistical psychology, ISSN 2044-8317. 73(2020), 1, Seite 23-43
DOI: 10.1111/bmsp.12159
- Neubauer, Andreas B.: Estimating reliability of within-person couplings in a multilevel framework / Andreas B. Neubauer, Manuel C. Voelkle, Andreas Voss, Ulf K. Mertens, 2020. - 12 S.
In: Journal of personality assessment, ISSN 1532-7752. 102(2020), 1, Seite 10-21
DOI: 10.1080/00223891.2018.1521418
- Voß, Andreas: Sequential sampling models with variable boundaries and non-normal noise : A comparison of six models / Andreas Voss, Veronika Lerche, Ulf Mertens, Jochen Voss, 16 January 2019. - 20 S.
In: Psychonomic bulletin & review, ISSN 1531-5320. 26(2019), 3, Seite 813-832
DOI: 10.3758/s13423-018-1560-4
- Mertens, Ulf K.: Deep learning methods for likelihood-free inference : approximating the posterior distribution with convolutional neural networks / presented by Ulf Kai Mertens, M. Sc. ; advisor: Prof. Dr. Andreas Voss. -
Heidelberg, 2019. - 1 Band (verschiedene Seitenzählungen) : Illustrationen, Diagramme
- Mertens, Ulf K.: Deep learning methods for likelihood-free inference : approximating the posterior distribution with convolutional neural networks / presented by Ulf Kai Mertens, M. Sc.. -
Heidelberg, 2019. - 1 Online-Ressource (128 Seiten)
DOI: 10.11588/heidok.00026383
- Voß, Andreas: Learning the likelihood : using deepInference for the estimation of diffusion-model and Lévy flight parameters [dataset] / Andreas Voss, Ulf K. Mertens, Stefan T. Radev. -
Heidelberg: Universität, 2018-06-22. - 1 Online-Ressource (5 Files)
DOI: 10.11588/data/HY4OBJ
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