Cover Image

Clustering Computer Mouse Tracking Data with Informed Hierarchical Shrinkage Partition Priors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Song, Ziyi, Shen, Weining, Vannucci, Marina, Baldizon, Alexandria, Cinciripini, Paul M., Versace, Francesco, Guindani, Michele
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Multi-Group Functional Factor Models with Parameter-Expanded Cumulative Shrinkage Priors
by: Dai, Xuanye, et al.
Published: (2026)

Discrete Autoregressive Switching Processes with Cumulative Shrinkage Priors for Graphical Modeling of Time Series Data
by: Hadj-Amar, Beniamino, et al.
Published: (2024)

Local Level Dynamic Random Partition Models for Changepoint Detection
by: Giampino, Alice, et al.
Published: (2024)

Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
by: Florez, Mauro, et al.
Published: (2024)

Repulsive Mixture Model with Projection Determinantal Point Process
by: Song, Ziyi, et al.
Published: (2025)

Bayesian Controlled FDR Variable Selection via Parameter-Expanded Latent Knockoffs
by: Focardi-Olmi, Lorenzo, et al.
Published: (2024)

A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)

Bayesian Covariate-Dependent Graph Learning with a Dual Group Spike-and-Slab Prior
by: Zeng, Zijian, et al.
Published: (2024)

Bayesian Variable Selection on Small Sample Trial Data via Adaptive Posterior-Informed Shrinkage Prior
by: Kong, Lingxuan, et al.
Published: (2025)

Bayesian temporal biclustering with applications to multi-subject neuroscience studies
by: Ricci, Federica Zoe, et al.
Published: (2024)

Going With the Flow: Normalizing Flows for Gaussian Process Regression under Hierarchical Shrinkage Priors
by: Knaus, Peter
Published: (2025)

Decoding Neuronal Ensembles from Spatially-Referenced Calcium Traces: A Bayesian Semiparametric Approach
by: D'Angelo, Laura, et al.
Published: (2025)

Relaxation of Projected Prior with Continuous Gap Shrinkage
by: Duan, Leo L, et al.
Published: (2026)

Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)

Dependency-Aware Shrinkage Priors for High Dimensional Regression
by: Aguilar, Javier Enrique, et al.
Published: (2025)

Spatiotemporal Besov Priors for Bayesian Inverse Problems
by: Lan, Shiwei, et al.
Published: (2023)

Modeling Dynamic Correlation Matrices with Shrinkage Priors
by: Coulson, Daniel Andrew, et al.
Published: (2026)

GRASP: Grouped Regression with Adaptive Shrinkage Priors
by: Tew, Shu Yu, et al.
Published: (2025)

A Bayesian Nonparametric Approach for Clustering Functional Trajectories over Time
by: Liang, Mingrui, et al.
Published: (2024)

Latent Network Estimation and Variable Selection for Compositional Data via Variational EM
by: Osborne, Nathan, et al.
Published: (2020)

Bayesian Methods in Tensor Analysis
by: Shi, Yiyao, et al.
Published: (2023)

Bayesian nonparametric modeling of multivariate count data with an unknown number of traits
by: Ghilotti, Lorenzo, et al.
Published: (2025)

Flexibly Modeling Shocks to Demographic and Health Indicators with Bayesian Shrinkage Priors
by: Susmann, Herbert, et al.
Published: (2024)

Locally Adaptive Bayesian Isotonic Regression using Half Shrinkage Priors
by: Okano, Ryo, et al.
Published: (2022)

The Dynamic Triple Gamma Prior as a Shrinkage Process Prior for Time-Varying Parameter Models
by: Knaus, Peter, et al.
Published: (2023)

Semiparametric Latent ANOVA Model for Event-Related Potentials
by: Yu, Cheng-Han, et al.
Published: (2023)

Bayesian Time-Varying Tensor Vector Autoregressive Models for Dynamic Effective Connectivity
by: Zhang, Wei, et al.
Published: (2021)

Semi-parametric local variable selection under misspecification
by: Rossell, David, et al.
Published: (2023)

Bayesian Covariate-Dependent Circadian Modeling of Rest-Activity Rhythms
by: Hadj-Amar, Beniamino, et al.
Published: (2025)

Bayesian network-guided sparse regression with flexible varying effects
by: Ren, Yangfan, et al.
Published: (2024)

The Group R2D2 Shrinkage Prior for Sparse Linear Models with Grouped Covariates
by: Yanchenko, Eric, et al.
Published: (2024)

Shrinkage-Constrained Functional Calibration for Complex Computer Models
by: Myhill, Liam, et al.
Published: (2026)

Model-based Clustering for Network Data via a Latent Shrinkage Position Cluster Model
by: Gwee, Xian Yao, et al.
Published: (2023)

Similarity-based Random Partition Distribution for Clustering Functional Data
by: Wakayama, Tomoya, et al.
Published: (2023)

Nonparametric Bayesian analysis for the Galton-Watson process
by: Cannas, Massimo, et al.
Published: (2025)

Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
by: Zhu, Zihan, et al.
Published: (2026)

Linear Shrinkage Convexification of Penalized Linear Regression With Missing Data
by: Park, Seongoh, et al.
Published: (2024)

A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy Trial
by: Pan, Tianyu, et al.
Published: (2024)

Factorized Fusion Shrinkage for Dynamic Relational Data
by: Zhao, Peng, et al.
Published: (2022)

Bayesian Functional Graphical Models with Change-Point Detection
by: Liu, Chunshan, et al.
Published: (2024)