Flexible Variable Selection for Clustering and Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Neal, Mackenzie R., McNicholas, Paul D. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data
by: Neal, Mackenzie R., et al.
Published: (2026)
by: Neal, Mackenzie R., et al.
Published: (2026)
Hidden Markov Models for Multivariate Panel Data
by: Neal, Mackenzie R., et al.
Published: (2024)
by: Neal, Mackenzie R., et al.
Published: (2024)
Clustering Three-Way Data with Outliers
by: Clark, Katharine M., et al.
Published: (2023)
by: Clark, Katharine M., et al.
Published: (2023)
Finding Outliers in Gaussian Model-Based Clustering
by: Clark, Katharine M., et al.
Published: (2019)
by: Clark, Katharine M., et al.
Published: (2019)
funOCLUST: Clustering Functional Data with Outliers
by: Clark, Katharine M., et al.
Published: (2025)
by: Clark, Katharine M., et al.
Published: (2025)
Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions
by: Sochaniwsky, Alexa A., et al.
Published: (2019)
by: Sochaniwsky, Alexa A., et al.
Published: (2019)
Depth-Based Local Center Clustering: A Framework for Handling Different Clustering Scenarios
by: Wang, Siyi, et al.
Published: (2025)
by: Wang, Siyi, et al.
Published: (2025)
Longitudinal Data Clustering with a Copula Kernel Mixture Model
by: Zhang, Xi, et al.
Published: (2023)
by: Zhang, Xi, et al.
Published: (2023)
Parsimonious Ultrametric Manly Mixture Models
by: Sochaniwsky, Alexa A., et al.
Published: (2025)
by: Sochaniwsky, Alexa A., et al.
Published: (2025)
An EM Gradient Algorithm for Mixture Models with Components Derived from the Manly Transformation
by: Clark, Katharine M., et al.
Published: (2024)
by: Clark, Katharine M., et al.
Published: (2024)
Model-Based Clustering with Sequential Outlier Identification using the Distribution of Mahalanobis Distances
by: Doherty, Ultán P., et al.
Published: (2025)
by: Doherty, Ultán P., et al.
Published: (2025)
$β$-integrated local depth and corresponding partitioned local depth representation
by: Wang, Siyi, et al.
Published: (2025)
by: Wang, Siyi, et al.
Published: (2025)
Agglomerative Hierarchical Clustering for Selecting Valid Instrumental Variables
by: Apfel, Nicolas, et al.
Published: (2021)
by: Apfel, Nicolas, et al.
Published: (2021)
Multivariate Functional Clustering with Variable Selection and Application to Sensor Data from Engineering Systems
by: Jin, Zhongnan, et al.
Published: (2024)
by: Jin, Zhongnan, et al.
Published: (2024)
Variable Selection for Stratified Sampling Designs in Semiparametric Accelerated Failure Time Models with Clustered Failure Times
by: Chen, Ying, et al.
Published: (2025)
by: Chen, Ying, et al.
Published: (2025)
SEMMS with Random Effects: A Mixed-Model Extension for Variable Selection in Clustered and Longitudinal Data
by: Bar, Haim, et al.
Published: (2026)
by: Bar, Haim, et al.
Published: (2026)
Clustered Flexible Calibration Plots For Binary Outcomes Using Random Effects Modeling
by: Barreñada, Lasai, et al.
Published: (2025)
by: Barreñada, Lasai, et al.
Published: (2025)
Divisive Hierarchical Clustering of Variables Identified by Singular Vectors
by: Bauer, Jan O.
Published: (2023)
by: Bauer, Jan O.
Published: (2023)
Bayesian Variable Selection with the Quasi-Posterior
by: Hadj-Amar, Beniamino, et al.
Published: (2026)
by: Hadj-Amar, Beniamino, et al.
Published: (2026)
Stabilizing Variable Selection and Regression
by: Pfister, Niklas, et al.
Published: (2019)
by: Pfister, Niklas, et al.
Published: (2019)
Instrument, Variable and Model Selection with Nonignorable Nonresponse
by: Chen, Ji, et al.
Published: (2025)
by: Chen, Ji, et al.
Published: (2025)
Consistent Variable Selection for GARCH-X Models
by: Zambom, Adriano Zanin, et al.
Published: (2026)
by: Zambom, Adriano Zanin, et al.
Published: (2026)
Objective Model Prior Probabilities in Variable Selection
by: Berger, James, et al.
Published: (2026)
by: Berger, James, et al.
Published: (2026)
Variable Selection for Linear Regression Imputation in Surveys
by: An, Ziming, et al.
Published: (2026)
by: An, Ziming, et al.
Published: (2026)
Comparing Variable Selection and Model Averaging Methods for Logistic Regression
by: Sekulovski, Nikola, et al.
Published: (2025)
by: Sekulovski, Nikola, et al.
Published: (2025)
Spatial Knockoff Bayesian Variable Selection in Genome-Wide Association Studies
by: Van Ee, Justin J., et al.
Published: (2024)
by: Van Ee, Justin J., et al.
Published: (2024)
A Conway-Maxwell-Multinomial Distribution for Flexible Modeling of Clustered Categorical Data
by: Morris, Darcy Steeg, et al.
Published: (2019)
by: Morris, Darcy Steeg, et al.
Published: (2019)
Scalable Variational Bayes Inference for Dynamic Variable Selection
by: Bianco, Nicolas, et al.
Published: (2023)
by: Bianco, Nicolas, et al.
Published: (2023)
Coverage of Credible Sets for Regression under Variable Selection
by: Pal, Samhita, et al.
Published: (2024)
by: Pal, Samhita, et al.
Published: (2024)
Nonlinear Multivariate Function-on-function Regression with Variable Selection
by: Haijie, Xu, et al.
Published: (2024)
by: Haijie, Xu, et al.
Published: (2024)
Posterior Summarization for Variable Selection in Bayesian Tree Ensembles
by: Ye, Shengbin, et al.
Published: (2025)
by: Ye, Shengbin, et al.
Published: (2025)
Variational Inference for Variable Selection in Scalar-on-Function Regression
by: da Cruz, Ana Carolina, et al.
Published: (2026)
by: da Cruz, Ana Carolina, et al.
Published: (2026)
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
by: Ho, Binh H., et al.
Published: (2025)
by: Ho, Binh H., et al.
Published: (2025)
Penalized Generative Variable Selection
by: Wang, Tong, et al.
Published: (2024)
by: Wang, Tong, et al.
Published: (2024)
Variable Selection in Functional Linear Cox Model
by: Yue, Yuanzhen, et al.
Published: (2025)
by: Yue, Yuanzhen, et al.
Published: (2025)
Revisiting Bayesian Variable Selection via Optimization
by: Duan, Leo L
Published: (2026)
by: Duan, Leo L
Published: (2026)
Distributed Iterative Hard Thresholding for Variable Selection in Tobit Models
by: Yang, Changxin, et al.
Published: (2024)
by: Yang, Changxin, et al.
Published: (2024)
Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Data
by: Zou, Jungang, et al.
Published: (2022)
by: Zou, Jungang, et al.
Published: (2022)
Using LASSO for Variable Selection in Exponential Random Graph models
by: Buttazzo, Sergio, et al.
Published: (2024)
by: Buttazzo, Sergio, et al.
Published: (2024)
COADVISE: Covariate Adjustment with Variable Selection in Randomized Controlled Trials
by: Liu, Yi, et al.
Published: (2025)
by: Liu, Yi, et al.
Published: (2025)
Similar Items
-
Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data
by: Neal, Mackenzie R., et al.
Published: (2026) -
Hidden Markov Models for Multivariate Panel Data
by: Neal, Mackenzie R., et al.
Published: (2024) -
Clustering Three-Way Data with Outliers
by: Clark, Katharine M., et al.
Published: (2023) -
Finding Outliers in Gaussian Model-Based Clustering
by: Clark, Katharine M., et al.
Published: (2019) -
funOCLUST: Clustering Functional Data with Outliers
by: Clark, Katharine M., et al.
Published: (2025)