:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ma, Yawen, Ishida, Sahoko, Cain, Kate, Wallin, Gabriel
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2604.07179
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Comparison of Joint and Stepwise Dynamic Cognitive Diagnostic Models
by: Ma, Yawen, et al.
Published: (2026)

A statistical framework for dynamic cognitive diagnosis in digital learning environments
by: Ma, Yawen, et al.
Published: (2025)

Hierarchical additive interaction modelling with Gaussian process prior and its efficient implementation for multidimensional grid data
by: Ishida, Sahoko, et al.
Published: (2023)

Latent Impact and Differential Item Functioning Analysis for Asymmetric IRT Models
by: Wallin, Gabriel, et al.
Published: (2026)

A Hybrid Latent-Class Item Response Model for Detecting Measurement Non-Invariance in Ordinal Scales
by: Wallin, Gabriel, et al.
Published: (2026)

Propensity Score Methods for Local Test Score Equating: Stratification and Inverse Probability Weighting
by: Wallin, Gabriel, et al.
Published: (2024)

DIF Analysis with Unknown Groups and Anchor Items
by: Wallin, Gabriel, et al.
Published: (2023)

A Latent Variable Model with Change-Points and Its Application to Time Pressure Effects in Educational Assessment
by: Wallin, Gabriel, et al.
Published: (2024)

Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
by: Ma, Chenchen, et al.
Published: (2021)

A flexible class of latent variable models for the analysis of antibody response data
by: Giorgi, Emanuele, et al.
Published: (2025)

Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
by: Ma, Chenchen, et al.
Published: (2020)

Nonparametric Shrinkage Estimation in High Dimensional Generalized Linear Models via Polya Trees
by: Weinstein, Asaf, et al.
Published: (2019)

A Unified and Computationally Efficient Non-Gaussian Statistical Modeling Framework
by: Bolin, David, et al.
Published: (2026)

A Generalized Additive Partial-Mastery Cognitive Diagnosis Model
by: Cárdenas-Hurtado, Camilo, et al.
Published: (2025)

Scalable Text-Embedding-informed Cognitive Diagnosis of Large Language Models
by: Liu, Jia, et al.
Published: (2026)

Incorporating Correlated Nugget Effects in Multivariate Spatial Models: An Application to Argo Ocean Data
by: Saduakhas, Damilya, et al.
Published: (2025)

Scalable Ultra-High-Dimensional Quantile Regression with Genomic Applications
by: Wu, Hanqing, et al.
Published: (2026)

Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication
by: Eckman, Stephanie, et al.
Published: (2025)

A Multi-Fidelity Tensor Emulator for Spatiotemporal Outputs: Emulation of Arctic Sea Ice Dynamics
by: Contant, Tristan, et al.
Published: (2026)

Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis
by: Cui, Chengyu, et al.
Published: (2023)

The Choice of Normalization Influences Shrinkage in Regularized Regression
by: Larsson, Johan, et al.
Published: (2025)

Generalized Tree-Informed Mixed Model Regression
by: Allis, Jeremiah, et al.
Published: (2025)

Archimedes, Reading, and the Sustenance of Academic Research Culture in Library Instruction.
by: Cain, Amanda
Published: (2002)

Semiparametric Models for Practice Effects in Longitudinal Cognitive Trajectories: Application to an Aging Cohort Study
by: Xu, Y., et al.
Published: (2025)

Empirically assessing the plausibility of unconfoundedness in observational studies
by: Hartwig, Fernando Pires, et al.
Published: (2024)

Using Instruments for Selection to Adjust for Selection Bias in Mendelian Randomization
by: Gkatzionis, Apostolos, et al.
Published: (2022)

Validation and Comparison of Non-Stationary Cognitive Models: A Diffusion Model Application
by: Schumacher, Lukas, et al.
Published: (2023)

Accounting for Heavy Censoring in Evaluating the Risk Stratification Abilities of Existing Models for Time to Diagnosis of Huntington Disease
by: Grosser, Kyle F., et al.
Published: (2025)

Bayesian Hierarchical Modelling of Noisy Gamma Processes: Model Formulation, Identifiability, Model Fitting, and Extensions to Unit-to-Unit Variability
by: Leadbetter, Ryan, et al.
Published: (2024)

Core Journal Networks and Cocitation Maps: New Bibliometric Tools for Serials Research and Management.
by: McCain, Katherine W.
Published: (1991)

Statistical Models for Outbreak Detection of Measles in North Cotabato, Philippines
by: Kintanar, Julienne Kate N., et al.
Published: (2024)

A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
by: Hu, Jie Kate, et al.
Published: (2023)

Predictor-Informed Bayesian Nonparametric Clustering
by: Parh, Md Yasin Ali, et al.
Published: (2025)

Bayesian Dynamic Clustering Factor Models
by: Dolkar, Tsering, et al.
Published: (2025)

A Bayesian Non-linear Mixed-Effects Model for Accurate Detection of the Onset of Cognitive Decline in Longitudinal Aging Studies
by: Massa, Fernando, et al.
Published: (2025)

Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data
by: Ren, Benny, et al.
Published: (2024)

Prediction in Measurement Error Models
by: Jiang, Fei, et al.
Published: (2024)

A Bayesian Integrative Mixed Modeling Framework for Analysis of the Adolescent Brain and Cognitive Development Study
by: Neher, Aidan, et al.
Published: (2025)

Outcome-Informed Weighting for Robust ATE Estimation
by: Yang, Linying, et al.
Published: (2025)

Change Point Localization and Inference in Dynamic Multilayer Networks
by: Wang, Fan, et al.
Published: (2025)