:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Yao, Tsung-Hung, Wu, Zhenke, Bharath, Karthik, Baladandayuthapani, Veerabhadran
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Methodology
Accesso online:	https://arxiv.org/abs/2401.11515
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Time-Varying and Covariate-Dependent Correlation Model for Multivariate Longitudinal Studies
di: Liu, Qingzhi, et al.
Pubblicazione: (2026)

MoSAIC: Multi-Resolution Spatial Regression Analysis of Cellular Colocalizations in Cancer Imaging
di: Aldous, Jessica, et al.
Pubblicazione: (2026)

Flexible Bayesian Nonparametric Product Mixtures for Multi-scale Functional Clustering
di: Yao, Tsung-Hung, et al.
Pubblicazione: (2024)

Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
di: Li, Mengbing, et al.
Pubblicazione: (2023)

Spatially Robust Inference with Predicted and Missing at Random Labels
di: Salerno, Stephen, et al.
Pubblicazione: (2026)

Simultaneous Inference for Covariance and Precision Matrices of Long-Range Dependent Time Series
di: Zhai, Percy S., et al.
Pubblicazione: (2026)

A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
di: Yu, Mingyan, et al.
Pubblicazione: (2024)

A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
di: Chen, Xingran, et al.
Pubblicazione: (2025)

Parsimonious Clustering of Covariance Matrices
di: Xu, Yixi, et al.
Pubblicazione: (2025)

Topo-Geometric Analysis of Variability in Point Clouds using Persistence Landscapes
di: Matuk, James, et al.
Pubblicazione: (2021)

A Random Forest Inverse Probability Weighted Pseudo-Observation Framework for Alternating Recurrent Events
di: Loe, Abigail, et al.
Pubblicazione: (2025)

TopSpace: spatial topic modeling for unsupervised discovery of multicellular spatial tissue structures in multiplex imaging
di: Choi, Junsouk, et al.
Pubblicazione: (2025)

Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics
di: Dahun Seo, et al.
Pubblicazione: (2024)

Random Forest for Dynamic Risk Prediction or Recurrent Events: A Pseudo-Observation Approach
di: Loe, Abigail, et al.
Pubblicazione: (2023)

Parsimonious Ultrametric Manly Mixture Models
di: Sochaniwsky, Alexa A., et al.
Pubblicazione: (2025)

A Structured Estimator for large Covariance Matrices in the Presence of Pairwise and Spatial Covariates
di: Metodiev, Martin, et al.
Pubblicazione: (2024)

Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
di: Shi, Jieru, et al.
Pubblicazione: (2023)

Testing Separability of High-Dimensional Covariance Matrices
di: Sung, Bongjung, et al.
Pubblicazione: (2025)

A Matrix-Variate Log-Normal Model for Covariance Matrices
di: Otranto, Edoardo
Pubblicazione: (2026)

Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation
di: Hoef, Jay M. Ver, et al.
Pubblicazione: (2023)

Scalable Fitting Methods for Multivariate Gaussian Additive Models with Covariate-dependent Covariance Matrices
di: Gioia, Vincenzo, et al.
Pubblicazione: (2025)

Robust and Well-conditioned Sparse Estimation for High-dimensional Covariance Matrices
di: Wang, Shaoxin, et al.
Pubblicazione: (2025)

A Sparse Linear Model for Positive Definite Estimation of Covariance Matrices
di: Kim, Rakheon, et al.
Pubblicazione: (2025)

Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
di: Luo, Lan, et al.
Pubblicazione: (2023)

Probabilistic size-and-shape functional mixed models
di: Wang, Fangyi, et al.
Pubblicazione: (2024)

Hierarchical Linkage Clustering Beyond Binary Trees and Ultrametrics
di: Dreveton, Maximilien, et al.
Pubblicazione: (2025)

Causal Inference in the Multiverse of Hazard
di: Lai, En-Yu, et al.
Pubblicazione: (2024)

Localization Estimator for High Dimensional Tensor Covariance Matrices
di: Sun, Hao-Xuan, et al.
Pubblicazione: (2026)

Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
di: Li, Xiudi, et al.
Pubblicazione: (2025)

Bayesian Mixed Multidimensional Scaling for Auditory Processing
di: Rebaudo, Giovanni, et al.
Pubblicazione: (2022)

A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates
di: Zhao, Christina, et al.
Pubblicazione: (2024)

Empirical likelihood for Fréchet means on open books
di: Bharath, Karthik, et al.
Pubblicazione: (2024)

Spatially Structured Regression for Non-conformable Spaces: Integrating Pathology Imaging and Genomics Data in Cancer
di: Osher, Nathaniel, et al.
Pubblicazione: (2024)

Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning
di: Mukhopadhyay, Minerva, et al.
Pubblicazione: (2021)

Bayesian Modeling and Prediction of Generalized Contact Matrices
di: Dan, Shozen, et al.
Pubblicazione: (2026)

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching
di: Lu, Wenhui Sophia, et al.
Pubblicazione: (2025)

Rolled Gaussian process models for curves on manifolds
di: Preston, Simon, et al.
Pubblicazione: (2025)

Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates
di: Ojha, Abhishek, et al.
Pubblicazione: (2024)

Covariance Estimation for Matrix-variate Data via Fixed-rank Core Covariance Geometry
di: Sung, Bongjung
Pubblicazione: (2025)

Bayesian Varying-Effects Vector Autoregressive Models for Inference of Brain Connectivity Networks and Covariate Effects in Pediatric Traumatic Brain Injury
di: Ren, Yangfan, et al.
Pubblicazione: (2024)