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Big Data Analytics and Information Science for Business and Biomedical Applications
| Big Data Analytics and Information Science for Business and Biomedical Applications |
| Autore | Ahmed S. Ejaz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (246 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
abdominal aortic aneurysm
ant colony system asymptotic theory bayesian spatial mixture model causal and dilated convolutional neural networks deep learning DWD EEG/MEG data elastic net emulation ensembling entropy-based robust EM estimation consistency feature fusion feature representation financial time series generalized linear models high dimension high dimensional predictors high dimensional time-series high-dimensional high-dimensional data information complexity criteria inverse problem L2-consistency Lasso Medicare data missingness mechanism mixture regression model selection multicategory classification nonlocal prior nonparamteric boostrap nuisance penalty methods post-selection inference prediction proximal algorithm random subspaces regularization segmentation sparse group lasso sparse PCA stepwise regression strong selection consistency text mining trend analysis unconventional likelihood |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557614803321 |
Ahmed S. Ejaz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Uncertainty Quantification Techniques in Statistics
| Uncertainty Quantification Techniques in Statistics |
| Autore | Kim Jong-Min |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (128 p.) |
| Soggetto non controllato |
?1 lasso
?2 ridge accuracy adapative lasso adaptive lasso allele read counts AUROC BH-FDR data envelopment analysis elastic net ensembles entropy feature selection gene expression data gene-expression data geometric distribution geometric mean Gompertz distribution group efficiency comparison high-throughput Kullback-Leibler divergence Laplacian matrix lasso LASSO low-coverage MCP mixture model next-generation sequencing probability proportional to size (PPS) sampling randomization device resampling sandwich variance estimator SCAD sea surface temperature semiparametric regression sensitive attribute SIS Skew-Reflected-Gompertz distribution stochastic frontier model Yennum et al.'s model |
| ISBN | 3-03928-547-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404091103321 |
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Kim Jong-Min
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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