A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy
From MaRDI portal
Publication:6145041
DOI10.1111/bmsp.12307zbMath1529.62081OpenAlexW4377244751MaRDI QIDQ6145041
Unnamed Author, James Joseph Balamuta, Steven Andrew Culpepper
Publication date: 30 January 2024
Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/bmsp.12307
Cites Work
- Unnamed Item
- Tensor Decompositions and Applications
- The generalized DINA model framework
- Identifiability of parameters in latent structure models with many observed variables
- Cluster analysis for cognitive diagnosis: theory and applications
- RcppArmadillo: accelerating R with high-performance C++ linear algebra
- Inference from iterative simulation using multiple sequences
- Sequential models in categorical regression
- Identifiability of restricted latent class models with binary responses
- Exploratory restricted latent class models with monotonicity requirements under Pòlya-gamma data augmentation
- An exploratory diagnostic model for ordinal responses with binary attributes: identifiability and estimation
- A sparse latent class model for cognitive diagnosis
- On the identifiability of diagnostic classification models
- Estimating the cognitive diagnosis \(Q\) matrix with expert knowledge: application to the fraction-subtraction dataset
- Gibbs samplers for logistic item response models via the Pólya-gamma distribution: a computationally efficient data-augmentation strategy
- Sequential Ordinal Modeling with Applications to Survival Data
- Identifying Latent Structures in Restricted Latent Class Models
- Sequential detection of learning in cognitive diagnosis
- A sequential cognitive diagnosis model for polytomous responses
- Statistical Analysis ofQ-Matrix Based Diagnostic Classification Models
- Seamless R and C++ Integration with Rcpp
- Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
- Extending R with C++: A Brief Introduction to Rcpp
This page was built for publication: A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy