Bayesian sparse partial least squares.

Bayesian sparse partial least squares.

Partial least squares (PLS) is a class of methods that makes use of a set of latent or unobserved variables to model the relation between (typically) two sets of input and output variables, respectively. Several flavors, depending on how the latent variables or components are computed, have been dev...

Bibliográfalaš dieđut
Váldodahkkit:	Vidaurre, D, Gerven, v, Bielza, C, Larrañaga, P, Heskes, T
Materiálatiipa:	Journal article
Giella:	English
Almmustuhtton:	Massachusetts Institute of Technology Press 2013

Geahča maid

Sparse regularized local regression
Dahkki: Vidaurre, D, et al.
Almmustuhtton: (2013)

Sparse regularized local regression
Dahkki: Vidaurre, D, et al.
Almmustuhtton: (2013)

Classification of neural signals from sparse autoregressive features
Dahkki: Vidaurre, D, et al.
Almmustuhtton: (2013)

Classification of neural signals from sparse autoregressive features
Dahkki: Vidaurre, D, et al.
Almmustuhtton: (2013)

Learning an L1-regularized Gaussian Bayesian network in the equivalence class space.
Dahkki: Vidaurre, D, et al.
Almmustuhtton: (2010)

A variant of sparse partial least squares for variable selection and data exploration
Dahkki: Megan Jodene Olson Hunt, et al.
Almmustuhtton: (2014-03-01)

On the augmented system approach to sparse least-squares problems /
Dahkki: 307604 Arioli, M., et al.

Partial Least Squares Discriminant Analysis and Bayesian Networks for Metabolomic Prediction of Childhood Asthma
Dahkki: Rachel S. Kelly, et al.
Almmustuhtton: (2018-10-01)

Multiset sparse partial least squares path modeling for high dimensional omics data analysis
Dahkki: Attila Csala, et al.
Almmustuhtton: (2020-01-01)

A comparative study on the performance of maximum likelihood, generalized least square, scale-free least square, partial least square and consistent partial least square estimators in structural equation modeling
Dahkki: Raudhah Zulkifli, et al.
Almmustuhtton: (2022-01-01)

MODEL REGRESI LINEAR PARTIAL LEAST SQUARE TERGENERALISASI PARTIAL LEAST SQUARE GENERALISED LINEAR REGRESSION
Dahkki: , ANI APRIANI, et al.
Almmustuhtton: (2012)

Investigation of electrophysiological markers to predict clinical and functional outcome of schizophrenia using sparse partial least square regression
Dahkki: L. Giuliani, et al.
Almmustuhtton: (2021-04-01)

Penalized partial least squares for pleiotropy
Dahkki: Camilo Broc, et al.
Almmustuhtton: (2021-02-01)

A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data
Dahkki: Guang-Hui Fu, et al.
Almmustuhtton: (2019-01-01)

SRGS: sparse partial least squares-based recursive gene selection for gene regulatory network inference
Dahkki: Jinting Guan, et al.
Almmustuhtton: (2022-11-01)

ANALISIS PARTIAL LEAST SQUARES REGRESI (PLS-R) PARTIAL LEAST SQUARES REGRESSION (PLS-R) ANALYSIS
Dahkki: , INGGRIT RABERTA, et al.
Almmustuhtton: (2013)

Least Squares After Model Selection in High-dimensional Sparse Models
Dahkki: Belloni, Alexandre, et al.
Almmustuhtton: (2012)

Partial Least Squares Regression for Binary Data
Dahkki: Laura Vicente-Gonzalez, et al.
Almmustuhtton: (2025-01-01)

Partial least squares regression in the social sciences
Dahkki: Megan L. Sawatsky, et al.
Almmustuhtton: (2015-06-01)

Marginal Screening for Partial Least Squares Regression
Dahkki: Naifei Zhao, et al.
Almmustuhtton: (2017-01-01)

Partial least squares regression in the social sciences
Dahkki: Megan L. Sawatsky, et al.
Almmustuhtton: (2015-06-01)

A Survey of L1 Regression
Dahkki: Vidaurre, D, et al.
Almmustuhtton: (2013)

AN L1-Regularized naïve bayes-inspired classifier for discarding redundant and irrelevant predictors
Dahkki: Vidaurre, D, et al.
Almmustuhtton: (2013)

A Survey of L-1 Regression
Dahkki: Vidaurre, D, et al.
Almmustuhtton: (2013)

On nonlinearity in neural encoding models applied to the primary visual cortex.
Dahkki: Vidaurre, D, et al.
Almmustuhtton: (2011)

Lazy lasso for local regression
Dahkki: Vidaurre, D, et al.
Almmustuhtton: (2012)

Comparison between the Conventional Partial Least Squares (Pls) and the Robust Partial Least Squares (Rpls-Sem) Through Winsorization Approach
Dahkki: GholamReza Zandi, et al.
Almmustuhtton: (2022-07-01)

Least Squares after Model Selection in High-Dimensional Sparse Models
Dahkki: Belloni, Alexandre, et al.
Almmustuhtton: (2011)

Modeling the proportion of measles cases using sparse least trimmed squares
Dahkki: Shelly Kilan Cahaya Pulungan, et al.
Almmustuhtton: (2023-09-01)

Sparse Least Squares Support Vector Machine With Adaptive Kernel Parameters
Dahkki: Chaoyu Yang, et al.
Almmustuhtton: (2020-03-01)

Least Squares Parameter Estimation for Sparse Functional Varying Coefficient Model
Dahkki: Behdad Mostafaiy, et al.
Almmustuhtton: (2017-08-01)

Interval partial least squares and moving window partial least squares in determining the enantiomeric composition of tryptophan by using UV-Vis spectroscopy
Dahkki: Jiao Long, et al.
Almmustuhtton: (2016-01-01)

Partial Least Squares Regression in Payment Default Prediction
Dahkki: Erkki K. Laitinen
Almmustuhtton: (2006-03-01)

Penerapan Partial Least Squares Pada Data Gingerol
Dahkki: Margaretha Ohyver
Almmustuhtton: (2010-06-01)

Partial Least Squares tutorial for analyzing neuroimaging data
Dahkki: Patricia Van Roon, et al.
Almmustuhtton: (2014-09-01)

Applying Partial Least Squares in Tourism and Hospitality Research /
Dahkki: Faizan Ali, 1987-, editor 597023, et al.
Almmustuhtton: (2018)

Partial Least Squares:Another Method Of Structural Equation
Dahkki: Perpustakaan UGM, i-lib
Almmustuhtton: (2004)

Partial Least Squares: Another Method Of Structural Equation
Dahkki: Perpustakaan UGM, i-lib
Almmustuhtton: (2005)

PARTIAL LEAST SQUARES REGRESSION $PLS$ ON INTERVAL DATA
Dahkki: Carlos Alberto Gaviria-Peña, et al.
Almmustuhtton: (2016-01-01)

The Use of Partial Least Squares Method To Remove Multicollinearity
Almmustuhtton: (2010-06-01)