Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data
From MaRDI portal
Publication:6094087
DOI10.1080/10618600.2022.2098136arXiv2109.14171OpenAlexW3204897297WikidataQ114099323 ScholiaQ114099323MaRDI QIDQ6094087
Lamiae Azizi, Weichang Yu, Howard D. Bondell, Sara Wade
Publication date: 9 October 2023
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2109.14171
Cites Work
- Unnamed Item
- Unnamed Item
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Spatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regression
- Curves discrimination: a nonparametric functional approach
- Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications
- High-dimensional classification using features annealed independence rules
- Bayesian nonparametric classification for spectroscopy data
- Bayesian classification of multiclass functional data
- Bayesian functional linear regression with sparse step functions
- Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations
- Penalized discriminant analysis
- Support-vector networks
- Variational nonparametric discriminant analysis
- Deep state-space Gaussian processes
- Posterior inference for sparse hierarchical non-stationary models
- Variational discriminant analysis with variable selection
- Bayesian fusion estimation via \(t\) shrinkage
- Two-group classification with high-dimensional correlated data: a factor model approach
- Penalized regression, standard errors, and Bayesian Lassos
- Functional Linear Discriminant Analysis for Irregularly Sampled Curves
- Bayesian wavelet-based curve classification via discriminant analysis with Markov random tree priors
- Penalized Classification using Fisher’s Linear Discriminant
- Explaining Variational Approximations
- Scalable Gaussian Process Computations Using Hierarchical Matrices
- Diagonal Discriminant Analysis With Feature Selection for High-Dimensional Data
- A Bayesian Hierarchical Model for Classification with Selection of Functional Predictors
- Bayesian Wavelet Regression on Curves With Application to a Spectroscopic Calibration Problem
- A Functional Data—Analytic Approach to Signal Discrimination
- How Deep Are Deep Gaussian Processes?
- Generalized Linear Models with Functional Predictors
- Sparsity and Smoothness Via the Fused Lasso
- Accuracy and Stability of Numerical Algorithms
- Regularized partial least squares with an application to NMR spectroscopy
- Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics
- Bayesian Semiparametric Joint Models for Functional Predictors
- Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
- Scalar-on-image regression via the soft-thresholded Gaussian process
- Multilayer Perceptron with Functional Inputs: an Inverse Regression Approach
- Time-Dependent Statistics of the Ising Model
- Introduction to statistical physics
- Methods for Scalar‐on‐Function Regression
