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Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar
Applied multivariate statistical analysis / Wolfgang Karl Hardle, Léopold Simar
Autore Härdle, Wolfgang Karl
Edizione [4. ed]
Pubbl/distr/stampa Berlin ; Heidelberg, : Springer, 2015
Descrizione fisica XIII, 580 p. : ill. ; 24 cm
Altri autori (Persone) Simar, Léopold
Soggetto topico 62H12 - Estimation in multivariate analysis [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
62H17 - Contingency tables [MSC 2020]
62H15 - Hypothesis testing in multivariate analysis [MSC 2020]
62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020]
62H10 - Multivariate distribution of statistics [MSC 2020]
62F25 - Parametric tolerance and confidence regions [MSC 2020]
Soggetto non controllato Cluster analysis
Conjoint Measurement Analysis
Discriminant Analysis
Elastic Net
Hypothesis Testing
Lasso
Multivariate Analysis
Projection Persuit
Quantitative Finance
Sliced Inverse Regression
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0113928
Härdle, Wolfgang Karl  
Berlin ; Heidelberg, : Springer, 2015
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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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 electronic resource (246 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato high-dimensional
nonlocal prior
strong selection consistency
estimation consistency
generalized linear models
high dimensional predictors
model selection
stepwise regression
deep learning
financial time series
causal and dilated convolutional neural networks
nuisance
post-selection inference
missingness mechanism
regularization
asymptotic theory
unconventional likelihood
high dimensional time-series
segmentation
mixture regression
sparse PCA
entropy-based robust EM
information complexity criteria
high dimension
multicategory classification
DWD
sparse group lasso
L2-consistency
proximal algorithm
abdominal aortic aneurysm
emulation
Medicare data
ensembling
high-dimensional data
Lasso
elastic net
penalty methods
prediction
random subspaces
ant colony system
bayesian spatial mixture model
inverse problem
nonparamteric boostrap
EEG/MEG data
feature representation
feature fusion
trend analysis
text mining
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
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Fundamentals of High-Dimensional Statistics : With Exercises and R Labs / Johannes Lederer
Fundamentals of High-Dimensional Statistics : With Exercises and R Labs / Johannes Lederer
Autore Lederer, Johannes
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xiv, 355 p. : ill. ; 24 cm
Soggetto non controllato Calibration
Estimation
Graphical Models
High dimensional inference
High-Dimensional Data
High-dimensional statistics
Lasso
Linear regression
Prediction
R labs
Regularization
Sparsity
Statistical inference
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0277448
Lederer, Johannes  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui