A new algorithm and a discussion about visualization for logistic reduced rank regression (English)
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- New search for: de Rooij, Mark
- Further information on de Rooij, Mark:
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https://orcid.org/http://orcid.org/0000-0001-7308-6210
- New search for: de Rooij, Mark
- Further information on de Rooij, Mark:
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https://orcid.org/http://orcid.org/0000-0001-7308-6210
In:
Behaviormetrika
;
51
, 1
;
389-410
;
2024
- Article (Journal) / Electronic Resource
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Title:A new algorithm and a discussion about visualization for logistic reduced rank regression
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Additional title:Behaviormetrika
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Contributors:de Rooij, Mark ( author )
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Published in:Behaviormetrika ; 51, 1 ; 389-410
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Publisher:
- New search for: Springer Japan
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Place of publication:Tokyo
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Publication date:2024-01-01
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Size:22 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Licence:
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Source:
Table of contents – Volume 51, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Introduction to the vol. 51, no. 1, 2024Ueno, Maomi et al. | 2024
- 7
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Approaches to estimating longitudinal diagnostic classification modelsMadison, Matthew J. / Chung, Seungwon / Kim, Junok / Bradshaw, Laine P. et al. | 2024
- 21
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Process theory of causality: a category-theoretic perspectiveOtsuka, Jun / Saigo, Hayato et al. | 2024
- 37
-
A Bayesian actor-oriented multilevel relational event model with hypothesis testing proceduresVieira, Fabio / Leenders, Roger / McFarland, Daniel / Mulder, Joris et al. | 2024
- 75
-
Monetary incentives and eye movements: an eye-tracking investigation in a risky choice experiment with real and hypothetical incentivesUto, Nobuyuki et al. | 2024
- 99
-
On the monotonicity of the residual heteroscedasticity item response modelFeuerstahler, Leah M. / Ahn, J. Rachael / Chen, Xing / Lorenzi, Daniel / Plourde, Jay et al. | 2024
- 125
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Item exposure and utilization control methods for optimal test assemblyLim, Sangdon / Choi, Seung W. et al. | 2024
- 157
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Suggestions for combining psychometric-based and supervised classification methods to detect cheating in online examsAlkan, Bilal Baris / Kumartas, Muhammet et al. | 2024
- 187
-
An evaluating index for dispersed crime points from an estimated central pointHirama, Kazuki / Yabe, Naoto / Yokota, Kaeko / Furuhashi, Kengo / Otsuka, Yusuke / Watanabe, Kazumi et al. | 2024
- 211
-
Measuring social value orientation by model-based scoringMizuno, Keiko / Shimizu, Hiroshi et al. | 2024
- 237
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Bayesian penalization for explanatory cognitive diagnostic models: covariate DINA model and covariate LCDM with the lasso priorTan, Yoshito / Ito, Tetsuro / Okada, Kensuke et al. | 2024
- 259
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A note on the application of stochastic approximation to computerized adaptive testingYang, Hau-Hung / Hsu, Yung-Fong et al. | 2024
- 277
-
Bayes factor for single-case ABAB design dataYamada, Tsuyoshi / Okada, Kensuke et al. | 2024
- 287
-
Issues in behavioral data scienceIodice D’Enza, Alfonso / Markos, Angelos / Kurihara, Koji et al. | 2024
- 291
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Interpolation of missing swaption volatility data using variational autoencodersRichert, Ivo / Buch, Robert et al. | 2024
- 319
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Integrated assessment of financial knowledge through a latent profile analysisPalazzo, Lucio / Iannario, Maria / Palumbo, Francesco et al. | 2024
- 341
-
Generalisability of sleep stage classification based on interbeat intervals: validating three machine learning approaches on self-recorded test dataKranzinger, Stefan / Baron, Sebastian / Kranzinger, Christina / Heib, Dominik / Borgelt, Christian et al. | 2024
- 359
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A higher-order life crafting scale validation using PLS-CCA: the Italian versionIngusci, Emanuela / Angelelli, Mario / Sternativo, Giovanna Alessia / Catalano, Alessia Anna / De Carlo, Elisa / Cortese, Claudio G. / Demerouti, Evangelia / Ciavolino, Enrico et al. | 2024
- 389
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A new algorithm and a discussion about visualization for logistic reduced rank regressionde Rooij, Mark et al. | 2024
- 411
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Can’t see the forest for the treesSzepannek, Gero / Holt, Björn-Hergen von et al. | 2024
- 425
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InstanceSHAP: an instance-based estimation approach for Shapley valuesBabaei, Golnoosh / Giudici, Paolo et al. | 2024
- 441
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Weighted least squares for archetypal analysis with missing dataGiordani, Paolo / Kiers, Henk A. L. et al. | 2024
- 477
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Change point detection in text dataPreis, Axel / Schwaar, Stefanie et al. | 2024
- 497
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Special issue: recent developments in causal inference and machine learning vol.2Shimizu, Shohei / Kawano, Shuichi et al. | 2024
- 499
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Autonomous adaptive control of manufacturing parameters based on local regression modelingTakayanagi, Masayoshi / Yoshino, Mutsumi / Kikuchi, Genta / Kanke, Tomoko / Suzuki, Noriyuki et al. | 2024
- 515
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Success concepts for causal discoveryGenin, Konstantin / Mayo-Wilson, Conor et al. | 2024