Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data Analytics and Information Science for Business and Biomedical Applications II
| Big Data Analytics and Information Science for Business and Biomedical Applications II |
| Autore | Ahmed S. Ejaz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (196 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
asymptotic bias and risk
bandwidth selection Bayesian modeling big data adaptation brain network cancer causal structure learning chest X-ray images consistency correlation deep learning dividend estimation edge-preserving image denoising FCI algorithm fMRI functional connectivity functional predictor functional principal component analysis functional regression gestational weight high dimensionality high-dimensional data Human Connectome Project image sequence infant birth weight joint modeling jump regression analysis LASSO estimation linear mixed model linear mixed-effects model local smoothing longitudinal data lung diseases maternal weight gain mobile device multicollinearity network analysis nonparametric regression nonparametric testing online health community options markets PC algorithm pretest and shrinkage estimation pretrained neural networks ridge estimation social support sparse group regularization spatio-temporal data statistics transfer learning wearable device data weighted least squares |
| ISBN | 3-0365-5550-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637784003321 |
|
Ahmed S. Ejaz
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Penalty, Shrinkage and Pretest Strategies : Variable Selection and Estimation / / by S. Ejaz Ahmed
| Penalty, Shrinkage and Pretest Strategies : Variable Selection and Estimation / / by S. Ejaz Ahmed |
| Autore | Ahmed S. Ejaz |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (122 p.) |
| Disciplina | 519.5 |
| Collana | SpringerBriefs in Statistics |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Statistical Theory and Methods Statistics and Computing |
| ISBN | 3-319-03149-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Estimation Strategies -- Improved Estimation Strategies in Normal and Poisson Models -- Pooling Data: Making Sense or Folly -- Estimation Strategies in Multiple Regression Models -- Estimation Strategies in Partially Linear Models -- Estimation Strategies in Poisson Regression Models. |
| Record Nr. | UNINA-9910299961003321 |
|
Ahmed S. Ejaz
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||