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Säfken, Benjamin [Author]

Semiparametrische Regressionsmodelle in der Versorgungsplanung : Vorhersage von Inzidenzraten unter Berücksichtigung der demographischen Entwicklung

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Wiesbaden: Springer Spektrum, 2015

Published in: BestMasters
Säfken, Benjamin [Author] ; Kneib, Thomas [Contributor]; Krivobokova, Tatyana [Contributor]

Model choice and variable selection in mixed & semiparametric models

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Georg-August-Universität Göttingen: eDiss, 2015-04-10
Säfken, Benjamin [Author] ; Kneib, Thomas [Degree supervisor]; Kneib, Thomas [Other]; Krivobokova, Tatyana [Other]

Model choice and variable selection in mixed & semiparametric models

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2015
Kruse, René-Marcel [Author] ; Kneib, Thomas [Degree supervisor]; Säfken, Benjamin [Degree supervisor]; Bergherr, Elisabeth [Degree supervisor]

Estimating and evaluating mixed and semiparametric models with statistical and deep learning methods

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Göttingen, 2023
Säfken, Benjamin [Editor]; Silbersdorff, Alexander [Editor]; Weisser, Christoph [Editor]

Learning deep : perspectives on deep learning algorithms and artificial intelligence

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Göttingen: Universitätsverlag Göttingen, 2020

Published in: Universitätsdrucke
Kruse, René-Marcel [Editor]; Säfken, Benjamin [Editor]; Silbersdorff, Alexander [Editor]; Weisser, Christoph [Editor] ; Universitätsverlag Göttingen

Learning deep textwork : perspectives on natural language processing and artificial intelligence

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Göttingen: Universitätsverlag Göttingen, 2021

Published in: Universitätsdrucke
Lorenz, Jennifer [Author]; Ike, Sina [Author]; Dammann, Lea Maria [Author]; Becker, Dominik [Author]; Säfken, Benjamin [Author]; Silversdorff, Alexander [Author]

Erwartete Schulprobleme als Folge der Corona-Schulschließungen im Frühjahr 2020 : empirische Evidenz zur Bedeutung familialer Ressourcen mittels nichtlinearer Modellierung = Expected education deficiencies from Covid-related school-lockdowns in spring 2020 : empirical evidence on family-education resources using nonlinear regression

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2023

Published in: Zeitschrift für Erziehungswissenschaft ; 26(2023), 2, Seite 403-441
Säfken, Benjamin [Author] ; Kneib, Thomas [Degree supervisor]; Krivobokova, Tatyana [Degree supervisor]

Model choice and variable selection in mixed & semiparametric models

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Göttingen: Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2015
Säfken, Benjamin; Rügamer, David

Editorial special issue: Bridging the gap between AI and Statistics

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Springer Science and Business Media LLC, 2024

Published in: AStA Advances in Statistical Analysis, 108 (2024) 2, Seite 225-229
Säfken, Benjamin; Kneib, Thomas

Conditional covariance penalties for mixed models

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Wiley, 2020

Published in: Scandinavian Journal of Statistics, 47 (2020) 3, Seite 990-1010
Kruse, René-Marcel [Author] ; Kneib, Thomas [Degree supervisor]; Säfken, Benjamin [Other]; Bergherr, Elisabeth [Other]

Estimating and evaluating mixed and semiparametric models with statistical and deep learning methods

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Göttingen: Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2023
Griesbach, Colin; Säfken, Benjamin; Waldmann, Elisabeth

Gradient boosting for linear mixed models

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Walter de Gruyter GmbH, 2021

Published in: The International Journal of Biostatistics, 17 (2021) 2, Seite 317-329
Kant, Gillian; Weisser, Christoph; Säfken, Benjamin

TTLocVis: A Twitter Topic Location Visualization Package

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The Open Journal, 2020

Published in: Journal of Open Source Software, 5 (2020) 54, Seite 2507
Wood, Simon N.; Pya, Natalya; Säfken, Benjamin

Rejoinder

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Informa UK Limited, 2016

Published in: Journal of the American Statistical Association, 111 (2016) 516, Seite 1573-1575
Wood, Simon N.; Pya, Natalya; Säfken, Benjamin

Smoothing Parameter and Model Selection for General Smooth Models

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Informa UK Limited, 2016

Published in: Journal of the American Statistical Association, 111 (2016) 516, Seite 1548-1563
Thielmann, Anton; Reuter, Arik; Seifert, Quentin; Bergherr, Elisabeth; Säfken, Benjamin

Topics in the Haystack: Enhancing Topic Quality through Corpus Expansion

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MIT Press, 2024

Published in: Computational Linguistics, 50 (2024) 2, Seite 619-655
Thielmann, Anton; Weisser, Christoph; Krenz, Astrid; Säfken, Benjamin

Unsupervised document classification integrating web scraping, one-class SVM and LDA topic modelling

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Informa UK Limited, 2023

Published in: Journal of Applied Statistics, 50 (2023) 3, Seite 574-591
Säfken, Benjamin; Rügamer, David; Kneib, Thomas; Greven, Sonja

Conditional Model Selection in Mixed-Effects Models with cAIC4

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Foundation for Open Access Statistic, 2021

Published in: Journal of Statistical Software, 99 (2021) 8
Lasser, Jana; Manik, Debsankha; Silbersdorff, Alexander; Säfken, Benjamin; Kneib, Thomas

Introductory data science across disciplines, using Python, case studies, and industry consulting projects

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Wiley, 2021

Published in: Teaching Statistics, 43 (2021) S1
Kant, Gillian; Zhelyazkov, Ivan; Thielmann, Anton; Weisser, Christoph; Schlee, Michael; Ehrling, Christoph; Säfken, Benjamin; Kneib, Thomas

One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading

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Springer Science and Business Media LLC, 2024

Published in: Social Network Analysis and Mining, 14 (2024) 1

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