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[173]  arXiv:2406.02320 [pdf, other]
Title: Compositional dynamic modelling for causal prediction in multivariate time series
Comments: 23 pages, 6 figures
Subjects: Methodology (stat.ME); Applications (stat.AP)
[174]  arXiv:2406.02297 [pdf, other]
Title: Optimal Stock Portfolio Selection with a Multivariate Hidden Markov Model
Journal-ref: Sankhya B85 (Suppl 1), 177-198 (2023)
Subjects: Methodology (stat.ME); Applications (stat.AP)
[175]  arXiv:2406.02293 [pdf, other]
Title: Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss
Comments: 24 pages, 9 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[176]  arXiv:2406.02269 [pdf, ps, other]
Title: Graph Neural Networks Do Not Always Oversmooth
Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG)
[177]  arXiv:2406.02191 [pdf, other]
Title: On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[ total of 336 entries: 1-5 | ... | 158-162 | 163-167 | 168-172 | 173-177 | 178-182 | 183-187 | 188-192 | ... | 333-336 ]
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