:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Oh, Minseog, Kim, Donggyu, Wang, Yazhen
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2301.06742
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

High-Dimensional Time-Varying Coefficient Estimation in Diffusion Models
by: Kim, Donggyu, et al.
Published: (2022)

Factor and Idiosyncratic VAR Volatility Matrix Models for Heavy-Tailed High-Frequency Financial Observations
by: Shin, Minseok, et al.
Published: (2021)

Property of Inverse Covariance Matrix-based Financial Adjacency Matrix for Detecting Local Groups
by: Oh, Minseog, et al.
Published: (2024)

Robust High-Dimensional Time-Varying Coefficient Estimation
by: Shin, Minseok, et al.
Published: (2023)

Scale-Location-Truncated Beta Regression: Expanding Beta Regression to Accommodate 0 and 1
by: Kim, Mingang, et al.
Published: (2025)

Shrinkage Estimators for Beta Regression Models
by: Firinguetti, Luis, et al.
Published: (2024)

Nonconvex High-Dimensional Time-Varying Coefficient Estimation for Noisy High-Frequency Observations with a Factor Structure
by: Shin, Minseok, et al.
Published: (2024)

Small Area Estimation of Inequality Measures using Mixtures of Beta
by: De Nicolò, Silvia, et al.
Published: (2022)

Unified Beta Regression Model with Random Effects for the Analysis of Sensory Attributes
by: Alves, João César Reis, et al.
Published: (2025)

A Sparse Beta Regression Model for Network Analysis
by: Stein, Stefan, et al.
Published: (2020)

A Fast, Closed-Form Bandwidth Selector for the Beta Kernel Density Estimator
by: Szabadváry, Johan Hallberg
Published: (2026)

Beyond the Beta Lorenz Curve: A New Parametric Family for Poverty and Inequality Estimation
by: Sarabia, José María, et al.
Published: (2026)

Bayesian Analysis of the Beta Regression Model Subject to Linear Inequality Restrictions with Application
by: Seifollahi, Solmaz, et al.
Published: (2024)

Conformal Prediction via Transported Beta Laws
by: Ramos, Thiago R., et al.
Published: (2026)

Beta-CoRM: A Bayesian Approach for $n$-gram Profiles Analysis
by: Perusquía, José A., et al.
Published: (2020)

Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
by: Ramezani, Niloofar, et al.
Published: (2025)

Modeling continuous monitoring glucose curves by Beta generalized non-parametric models
by: Acar-Denizli, Nihan, et al.
Published: (2025)

A Beta-GAM Hidden Markov Model for Proportion Time Series
by: Nigri, Andrea, et al.
Published: (2026)

Toxicity Monitoring Rule for a Two-Cohort Phase II Clinical Trial with Bivariate Beta Prior
by: Wang, Yu, et al.
Published: (2026)

On incomplete Gamma and Beta integrals
by: Wang, Haoming
Published: (2025)

A Bayesian Hierarchical Hurdle Beta-Binomial Model for Survey-Weighted Bounded Counts and Its Application to Childcare Enrollment
by: Lee, JoonHo
Published: (2026)

A Beta Cauchy-Cauchy (BECCA) shrinkage prior for Bayesian variable selection
by: Rodrigo, Linduni M., et al.
Published: (2025)

A Zero-Inflated Beta Mixture Model for Marginal Mediation Analysis with Compositional Microbiome Mediators
by: Ahn, Seungjun, et al.
Published: (2026)

Modeling Bounded Count Environmental Data Using a Contaminated Beta-Binomial Regression Model
by: Otto, Arnoldus F., et al.
Published: (2025)

Control Charts for Percentiles of Truncated Beta Distributed Environmental Data Using Studentized Bootstrap Method
by: Modok, Bidhan, et al.
Published: (2025)

The Continuous Rank Probability Score of a Generalized Beta-Prime Distribution and Some Special Cases
by: LeDuc, Matthew
Published: (2026)

The Role of Mean Absolute Deviation Function in Obtaining Smooth Estimation for Distribution and Density Functions: Beta Regression Approach
by: Elamir, Elsayed A. H.
Published: (2024)

Graph Canonical Coherence Analysis
by: Kim, Kyusoon, et al.
Published: (2026)

Robust Reinforcement Learning under Diffusion Models for Data with Jumps
by: Jiang, Chenyang, et al.
Published: (2024)

Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach
by: Mai, The Tien
Published: (2025)

Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model
by: Westphal, Max
Published: (2019)

Principal Component Analysis in the Graph Frequency Domain
by: Kim, Kyusoon, et al.
Published: (2024)

Stochastic EM Estimation and Inference for Zero-Inflated Beta-Binomial Mixed Models for Longitudinal Count Data
by: Barrera, John, et al.
Published: (2026)

Robust Sparse Precision Matrix Estimation and its Application
by: Lu, Zhengke, et al.
Published: (2025)

SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning
by: Shan, Jiawei, et al.
Published: (2025)

Optimal Integrative Estimation for Distributed Precision Matrices with Heterogeneity Adjustment
by: Sun, Yinrui, et al.
Published: (2024)

Estimating Propensities of Selection for Big Datasets via Data Integration
by: Ang, Lyndon, et al.
Published: (2025)

Data Integration Via Analysis of Subspaces (DIVAS)
by: Prothero, Jack B., et al.
Published: (2022)

A New Integrative Learning Framework for Integrating Multiple Secondary Outcomes into Primary Outcome Analysis: A Case Study on Liver Health
by: Deng, Daxuan, et al.
Published: (2025)

Optimal Data Integration and Adaptive Sampling for Efficient Treatment Effect Estimation
by: Liu, Yen-Chun, et al.
Published: (2026)