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.
Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods
| Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods |
| Autore | Mielniczuk Jan |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (226 p.) |
| Soggetto topico |
History of engineering and technology
Mechanical engineering and materials Technology: general issues |
| Soggetto non controllato |
adaptive splines
archimedean copula B-splines change points CIFE CMI conditional infomax feature extraction conditional mutual information consistency consistent selection entropy estimation extreme-value copula gaussian mixture generalized information criterion generative tree model high-dimensional regression high-dimensional time series influence functions information measures information theory JMI joint mutual information criterion kernel estimation learning systems loss function Markov blanket maximum likelihood estimation minimum distance estimation misclassification risk misspecification model misspecification multivariate analysis n/a network estimation nonparametric variable selection criteria nonstationarity parameter estimation penalized estimation prediction methods privacy random predictors right-censored data robustness semiparametric regression statistical learning theory subgaussianity supervised classification synthetic data transformation tail dependency time series variable selection consistency |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576873203321 |
Mielniczuk Jan
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Symmetry in Engineering Sciences
| Symmetry in Engineering Sciences |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (220 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D slicer
A* algorithm accessibility adaptive threshold aged Agustín de Betancourt anomaly detection asymmetry BP neural network broad learning model cathedral classification clustering Coalbrookdale (Shropshire) complex networks computer engineering computing applications conditional mutual information convexity/concavity edge preserving electrical circuits electronic devices energy dissipation environmental modeling evaluation model express shipment extension fault diagnosis feature interaction feature selection Fisher linear discriminant analysis flying buttresses friction damping geometric modeling geometry graphic modelling high order urban hospitals (HOUHs) Hilbert transform inclined plane industrial archaeology industrial heritage lifting wavelet linearization technique local data features local inflection local monotonicity local preserving projection mechanical structures mobile robot noise detector optimization optimization criteria optimum path planning path search peaks distribution railcar flow distribution railway network railway transportation rampant arch random forest random value impulse noise ring damper robots rolling bearings segmentation semi-supervised random forest sensitivity analysis service network design support vector machine symmetry synchronization thin-walled gear time-space network topology traffic congestion traffic control traffic forecasting trip impedance based on public transportation tumor urban traffic planning variational mode decomposition vibration virtual reconstruction weighted mean filter |
| ISBN | 3-03921-875-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367742303321 |
|
Montoya Francisco G
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||