Assessing aquatic toxicity assessment via a clustered variance model
From MaRDI portal
Publication:6616387
DOI10.1214/24-aoas1884MaRDI QIDQ6616387
Publication date: 9 October 2024
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Estimating the Number of Clusters in a Data Set Via the Gap Statistic
- Model-based clustering based on sparse finite Gaussian mixtures
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Nearly unbiased variable selection under minimax concave penalty
- Generalized mixtures of finite mixtures and telescoping sampling
- Cluster analysis of longitudinal profiles with subgroups
- Variable selection in linear mixed effects models
- Biclustering analysis of functionals via penalized fusion
- Incorporating historical data when determining sample size requirements for aquatic toxicity experiments
- Subgroup-effects models for the analysis of personal treatment effects
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- Nonparametric Cluster Analysis on Multiple Outcomes of Longitudinal Data
- An Introduction to Generalized Linear Models, Fourth Edition
- Tuning parameter selectors for the smoothly clipped absolute deviation method
- Small area estimation with subgroup analysis
- Identifying subgroups of age and cohort effects in obesity prevalence
- Spatial heterogeneity automatic detection and estimation
- Clustering of longitudinal curves via a penalized method and EM algorithm
- Subgroup analysis in the heterogeneous Cox model
- Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data
- Exploration of heterogeneous treatment effects via concave fusion
This page was built for publication: Assessing aquatic toxicity assessment via a clustered variance model
