Dynamic Bayesian Item Response Model with Decomposition (D-BIRD): Modeling Cohort and Individual Learning Over Time
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Hansol, Cho, Jason B., Matteson, David S., Domingue, Benjamin W. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Smoothing Variances Across Time: Adaptive Stochastic Volatility
by: Cho, Jason B., et al.
Published: (2024)
by: Cho, Jason B., et al.
Published: (2024)
Bayesian Evidence Synthesis for Modeling SARS-CoV-2 Transmission
by: Apsemidis, Anastasios, et al.
Published: (2023)
by: Apsemidis, Anastasios, et al.
Published: (2023)
BASTION: A Bayesian Framework for Trend and Seasonality Decomposition
by: Cho, Jason B., et al.
Published: (2026)
by: Cho, Jason B., et al.
Published: (2026)
Robust Estimation of Item Parameters via Divergence Measures in Item Response Theory
by: Itaya, Yuki, et al.
Published: (2025)
by: Itaya, Yuki, et al.
Published: (2025)
A Bayesian framework for measuring association and its application to emotional dynamics in Web discourse
by: Xavier, Henrique S., et al.
Published: (2023)
by: Xavier, Henrique S., et al.
Published: (2023)
Bayesian Time-Varying Tensor Vector Autoregressive Models for Dynamic Effective Connectivity
by: Zhang, Wei, et al.
Published: (2021)
by: Zhang, Wei, et al.
Published: (2021)
Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
by: Ng, Edwin, et al.
Published: (2021)
by: Ng, Edwin, et al.
Published: (2021)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)
by: Dempsey, Daniel, et al.
Published: (2024)
Exploring Covid-19 Spatiotemporal Dynamics: Non-Euclidean Spatially Aware Functional Registration
by: Barratt, Luke A., et al.
Published: (2024)
by: Barratt, Luke A., et al.
Published: (2024)
MUCE: Bayesian Hierarchical Modeling for the Design and Analysis of Phase 1b Multiple Expansion Cohort Trials
by: Lyu, Jiaying, et al.
Published: (2020)
by: Lyu, Jiaying, et al.
Published: (2020)
Poisson Inventory Models with Many Items: An Empirical Bayes Approach
by: Anderson, Edward, et al.
Published: (2025)
by: Anderson, Edward, et al.
Published: (2025)
Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)
by: Li, Qiushuang, et al.
Published: (2025)
Flexible Bayesian Tensor Decomposition for Verbal Autopsy Data
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
Polytomous Explanatory Item Response Models for Item Discrimination: Assessing Negative-Framing Effects in Social-Emotional Learning Surveys
by: Gilbert, Joshua B., et al.
Published: (2024)
by: Gilbert, Joshua B., et al.
Published: (2024)
Bayesian Matrix Factor Models for Demographic Analysis Across Age and Time
by: Zens, Gregor
Published: (2025)
by: Zens, Gregor
Published: (2025)
StanBKT: Rethinking Parameter Estimation in Bayesian Knowledge Tracing
by: Pradhan, Siddhartha, et al.
Published: (2026)
by: Pradhan, Siddhartha, et al.
Published: (2026)
Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
by: Lee, Jooyeon, et al.
Published: (2025)
by: Lee, Jooyeon, et al.
Published: (2025)
Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
by: Sahoo, Indranil, et al.
Published: (2024)
by: Sahoo, Indranil, et al.
Published: (2024)
Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)
by: Ghosh, Shuvrarghya, et al.
Published: (2025)
Bayesian Modeling and Prediction of Generalized Contact Matrices
by: Dan, Shozen, et al.
Published: (2026)
by: Dan, Shozen, et al.
Published: (2026)
Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
by: Lin, Zhengzhi, et al.
Published: (2025)
by: Lin, Zhengzhi, et al.
Published: (2025)
A Bayesian Dirichlet Auto-Regressive Moving Average Model for Forecasting Lead Times
by: Katz, Harrison, et al.
Published: (2023)
by: Katz, Harrison, et al.
Published: (2023)
Design Effect Ratios for Bayesian Survey Models: A Diagnostic Framework for Identifying Survey-Sensitive Parameters
by: Lee, JoonHo
Published: (2026)
by: Lee, JoonHo
Published: (2026)
A Bayesian Longitudinal Spatial Normative Model for Individualized Brain Deviation Mapping
by: Korley, J. T.
Published: (2026)
by: Korley, J. T.
Published: (2026)
Soil Texture Prediction with Bayesian Generalized Additive Models for Spatial Compositional Data
by: Martínez-Minaya, Joaquín, et al.
Published: (2025)
by: Martínez-Minaya, Joaquín, et al.
Published: (2025)
Elastic Bayesian Model Calibration
by: Francom, Devin, et al.
Published: (2023)
by: Francom, Devin, et al.
Published: (2023)
Visualisation for Exploratory Modelling Analysis of Bayesian Hierarchical Models
by: Akinfenwa, Oluwayomi, et al.
Published: (2024)
by: Akinfenwa, Oluwayomi, et al.
Published: (2024)
A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5 in an Urban Setting
by: Riley, Abi I., et al.
Published: (2025)
by: Riley, Abi I., et al.
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)
by: Lee, JoonHo
Published: (2026)
Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)
by: Kim, Seongmin, et al.
Published: (2025)
A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
by: Koslovsky, Matthew D., et al.
Published: (2023)
by: Koslovsky, Matthew D., et al.
Published: (2023)
Influence Networks: Bayesian Modeling and Diffusion
by: Sánchez-Gutiérrez, Samuel, et al.
Published: (2024)
by: Sánchez-Gutiérrez, Samuel, et al.
Published: (2024)
Hidden Markov Individual-level Models of Infectious Disease Transmission
by: Douwes-Schultz, Dirk, et al.
Published: (2026)
by: Douwes-Schultz, Dirk, et al.
Published: (2026)
A switching state-space transmission model for tracking epidemics and assessing interventions
by: Feng, Jingxue, et al.
Published: (2023)
by: Feng, Jingxue, et al.
Published: (2023)
A method for characterizing disease emergence curves from paired pathogen detection and serology data
by: Hewitt, Joshua, et al.
Published: (2024)
by: Hewitt, Joshua, et al.
Published: (2024)
Predictive Volatility of Machine Learning in Micro-Samples: A Regularised Assessment of Regional Poverty
by: Jamaluddin, A. H., et al.
Published: (2026)
by: Jamaluddin, A. H., et al.
Published: (2026)
Decomposing Network Influence: Social Influence Regression
by: Minhas, Shahryar, et al.
Published: (2017)
by: Minhas, Shahryar, et al.
Published: (2017)
Generative AI as a Safety Net for Survey Question Refinement
by: Metheney, Erica Ann, et al.
Published: (2025)
by: Metheney, Erica Ann, et al.
Published: (2025)
Correlation Improves Group Testing: Modeling Concentration-Dependent Test Errors
by: Wan, Jiayue, et al.
Published: (2021)
by: Wan, Jiayue, et al.
Published: (2021)
Modeling the Risk of In-Person Instruction during the COVID-19 Pandemic
by: Liu, Brian, et al.
Published: (2023)
by: Liu, Brian, et al.
Published: (2023)
Similar Items
-
Smoothing Variances Across Time: Adaptive Stochastic Volatility
by: Cho, Jason B., et al.
Published: (2024) -
Bayesian Evidence Synthesis for Modeling SARS-CoV-2 Transmission
by: Apsemidis, Anastasios, et al.
Published: (2023) -
BASTION: A Bayesian Framework for Trend and Seasonality Decomposition
by: Cho, Jason B., et al.
Published: (2026) -
Robust Estimation of Item Parameters via Divergence Measures in Item Response Theory
by: Itaya, Yuki, et al.
Published: (2025) -
A Bayesian framework for measuring association and its application to emotional dynamics in Web discourse
by: Xavier, Henrique S., et al.
Published: (2023)