Author Kneib, Thomas
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2021 | Journal Article | Research Paper |
Using solar panels for business purposes: Evidence based on high-frequency power usage data
Weisser, C.; Lenel, F.; Lu, Y.; Kis-Katos, K. & Kneib, T. (2021)
Development Engineering, 6 pp. 100074. DOI: https://doi.org/10.1016/j.deveng.2021.100074
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2021 | Book Chapter
Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data
Luber, M.; Weisser, C.; Säfken, B.; Silbersdorff, A.; Kneib, T.& Kis-Katos, K. (2021)
In:Bright, Jonathan; Giachanou, Anastasia; Spaiser, Viktoria; Spezzano, Francesca; George, Anna; Pavliuc, Alexandra (Eds.), Disinformation in Open Online Media : Third Multidisciplinary International Symposium, MISDOOM 2021, Virtual Event, September 21–22, 2021, Proceedings pp. 33-49. Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-87031-7_3
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2021 | Book Chapter
Modelling Flow in Gas Transmission Networks Using Shape-Constrained Expectile Regression
Otto-Sobotka, F.; Mirkov, R.; Hofner, B.& Kneib, T. (2021)
In:Daouia, Abdelaati; Ruiz-Gazen, Anne (Eds.), Advances in Contemporary Statistics and Econometrics : Festschrift in Honor of Christine Thomas-Agnan pp. 261-280. Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-73249-3_14
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2022 | Journal Article
Regularization approaches in clinical biostatistics: A review of methods and their applications
Friedrich, S.; Groll, A.; Ickstadt, K.; Kneib, T.; Pauly, M.; Rahnenführer, J. & Friede, T. (2022)
Statistical Methods in Medical Research, art. 096228022211335. DOI: https://doi.org/10.1177/09622802221133557
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2022 | Journal Article
Gradient boosting in Markov-switching generalized additive models for location, scale, and shape
Adam, T.; Mayr, A. & Kneib, T. (2022)
Econometrics and Statistics, 22 pp. 3-16. DOI: https://doi.org/10.1016/j.ecosta.2021.04.002
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2022 | Journal Article |
Discussion on “Spatial+: A novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
Marques, I. & Kneib, T. (2022)
Biometrics, 78(4) pp. 1295-1299. DOI: https://doi.org/10.1111/biom.13650
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2023 | Journal Article
Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses
Riebl, H.; Klein, N. & Kneib, T. (2023)
Journal of the Royal Statistical Society Series C: Applied Statistics, art. qlad015. DOI: https://doi.org/10.1093/jrsssc/qlad015
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2023 | Journal Article
A bivariate relative poverty line for leisure time and income poverty: Detecting intersectional differences using distributional copulas
Dorn, F.; Radice, R.; Marra, G. & Kneib, T. (2023)
Review of Income and Wealth, art. roiw.12635. DOI: https://doi.org/10.1111/roiw.12635
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2023 | Journal Article
A multilevel analysis of real estate valuation using distributional and quantile regression
Razen, A.; Brunauer, W.; Klein, N.; Kneib, T.; Lang, S. & Umlauf, N. (2023)
Statistical Modelling, art. 1471082X2311572. DOI: https://doi.org/10.1177/1471082X231157205
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2023 | Journal Article
Multivariate reference and tolerance regions based on conditional transformation models: Application to glycemic markers
Lado‐Baleato, Ó.; Cadarso‐Suárez, C.; Kneib, T. & Gude, F. (2023)
Biometrical Journal, art. 2200229. DOI: https://doi.org/10.1002/bimj.202200229
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2023 | Journal Article
Bayesian Conditional Transformation Models
Carlan, M.; Kneib, T. & Klein, N. (2023)
Journal of the American Statistical Association, pp. 1-14. DOI: https://doi.org/10.1080/01621459.2023.2191820
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2023 | Journal Article |
A Variance Partitioning Multi-level Model for Forest Inventory Data with a Fixed Plot Design
Marques, I.; Wiemann, P. F. V. & Kneib, T. (2023)
Journal of Agricultural, Biological and Environmental Statistics,. DOI: https://doi.org/10.1007/s13253-023-00548-z
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2023 | Journal Article |
Probabilistic time series forecasts with autoregressive transformation models
Rügamer, D.; Baumann, P. F. M.; Kneib, T. & Hothorn, T. (2023)
Statistics and Computing, 33(2). DOI: https://doi.org/10.1007/s11222-023-10212-8
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2023 | Journal Article
Rage Against the Mean – A Review of Distributional Regression Approaches
Kneib, T.; Silbersdorff, A. & Säfken, B. (2023)
Econometrics and Statistics, 26 pp. 99-123. DOI: https://doi.org/10.1016/j.ecosta.2021.07.006
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2023 | Conference Paper
Coherence based Document Clustering
Thielmann, A.; Weisser, C.; Kneib, T. & Säfken, B. (2023)
pp. 9-16. 2023 IEEE 17th International Conference on Semantic Computing (ICSC), Laguna Hills, CA, USA.
IEEE. DOI: https://doi.org/10.1109/ICSC56153.2023.00009
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2023 | Journal Article | Editorial Contribution (Editorial, Introduction, Epilogue)
Editorial
Haupt, H.; Kneib, T. & Okhrin, Y. (2023)
Advances in Statistical Analysis, 107(3) pp. 393-396. DOI: https://doi.org/10.1007/s10182-023-00480-0
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2023 | Journal Article
Editorial to the Special Issue “Applications of P-Splines” in Memory of Brian D. Marx
Eilers, P. H. & Kneib, T. (2023)
Statistical Modelling, 23(5-6) pp. 407-408. DOI: https://doi.org/10.1177/1471082X231201705
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2023 | Book Chapter
Topic Model—Machine Learning Classifier Integrations on Geocoded Twitter Data
Kant, G.; Weisser, C.; Kneib, T.& Säfken, B. (2023)
In:Phuong, Nguyen Hoang; Kreinovich, Vladik (Eds.), Biomedical and Other Applications of Soft Computing pp. 105-120. Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-031-08580-2_11
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