Saved in:
| Main Authors: | Kim, Gyeongjun, Kang, Yeseul, Kock, Lucas, Bansal, Prateek, Sohn, Keemin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.10945 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variational inference for hierarchical models with conditional scale and skewness corrections
by: Kock, Lucas, et al.
Published: (2025)
by: Kock, Lucas, et al.
Published: (2025)
Conjugating Variational Inference for Large Mixed Multinomial Logit Models and Consumer Choice
by: Zhang, Weiben, et al.
Published: (2026)
by: Zhang, Weiben, et al.
Published: (2026)
Scalable Estimation of Multinomial Response Models with Random Consideration Sets
by: Chib, Siddhartha, et al.
Published: (2023)
by: Chib, Siddhartha, et al.
Published: (2023)
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
by: Saxena, Manan, et al.
Published: (2024)
by: Saxena, Manan, et al.
Published: (2024)
Computationally Efficient Estimation of Large Probit Models
by: Ding, Patrick, et al.
Published: (2024)
by: Ding, Patrick, et al.
Published: (2024)
Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects
by: Bellio, Ruggero, et al.
Published: (2023)
by: Bellio, Ruggero, et al.
Published: (2023)
Mean-field Variational Bayes for Sparse Probit Regression
by: Fasano, Augusto, et al.
Published: (2026)
by: Fasano, Augusto, et al.
Published: (2026)
Optimal Estimation of Discrete Multiview Distributions under Heteroskedastic Multinomial Sampling
by: Tang, Runshi, et al.
Published: (2026)
by: Tang, Runshi, et al.
Published: (2026)
Multinomial Link Models
by: Wang, Tianmeng, et al.
Published: (2023)
by: Wang, Tianmeng, et al.
Published: (2023)
Marginal Effects for Probit and Tobit with Endogeneity
by: Evdokimov, Kirill S., et al.
Published: (2023)
by: Evdokimov, Kirill S., et al.
Published: (2023)
Probit Monotone BART
by: Fisher, Jared D.
Published: (2025)
by: Fisher, Jared D.
Published: (2025)
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning
by: Mukhopadhyay, Minerva, et al.
Published: (2021)
by: Mukhopadhyay, Minerva, et al.
Published: (2021)
Truly Multivariate Structured Additive Distributional Regression
by: Kock, Lucas, et al.
Published: (2023)
by: Kock, Lucas, et al.
Published: (2023)
Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
by: Kock, Lucas, et al.
Published: (2026)
by: Kock, Lucas, et al.
Published: (2026)
Deep Generative Modeling with Spatial and Network Images: An Explainable AI (XAI) Approach
by: Jeon, Yeseul, et al.
Published: (2025)
by: Jeon, Yeseul, et al.
Published: (2025)
A New Method for Multinomial Inference using Dempster-Shafer Theory
by: Lawrence, Earl C., et al.
Published: (2024)
by: Lawrence, Earl C., et al.
Published: (2024)
A Multilayer Probit Network Model for Community Detection with Dependent Edges and Layers
by: Shi, Dapeng, et al.
Published: (2026)
by: Shi, Dapeng, et al.
Published: (2026)
Scalable Variational Bayes Inference for Dynamic Variable Selection
by: Bianco, Nicolas, et al.
Published: (2023)
by: Bianco, Nicolas, et al.
Published: (2023)
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)
by: Chen, David, et al.
Published: (2024)
Deep Probabilistic Spatial Modeling for Multivariate Mixed-Type Responses
by: Jeon, Yeseul, et al.
Published: (2026)
by: Jeon, Yeseul, et al.
Published: (2026)
Dempster-Shafer P-values: Thoughts on an Alternative Approach for Multinomial Inference
by: Hoffman, Kentaro, et al.
Published: (2024)
by: Hoffman, Kentaro, et al.
Published: (2024)
Nonparametric Inference with an Instrumental Variable under a Separable Binary Treatment Choice Model
by: Park, Chan, et al.
Published: (2026)
by: Park, Chan, et al.
Published: (2026)
Uncertainty-Aware Neural Multivariate Geostatistics
by: Jeon, Yeseul, et al.
Published: (2026)
by: Jeon, Yeseul, et al.
Published: (2026)
pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
by: Shi, Skylar, et al.
Published: (2025)
by: Shi, Skylar, et al.
Published: (2025)
Estimating the Effective Sample Size for an inverse problem in subsurface flows
by: Seiffert, Lucas, et al.
Published: (2024)
by: Seiffert, Lucas, et al.
Published: (2024)
A Contaminated Model for Overdispersed Multinomial Microbiome Count Data
by: van Heerden, Ockert, et al.
Published: (2026)
by: van Heerden, Ockert, et al.
Published: (2026)
Bayesian Probit Multi-Study Non-negative Matrix Factorization for Mutational Signatures
by: Hansen, Blake, et al.
Published: (2025)
by: Hansen, Blake, et al.
Published: (2025)
Interpretable Deep Neural Network for Modeling Functional Surrogates
by: Jeon, Yeseul, et al.
Published: (2025)
by: Jeon, Yeseul, et al.
Published: (2025)
A Bayesian Convolutional Neural Network-based Generalized Linear Model
by: Jeon, Yeseul, et al.
Published: (2022)
by: Jeon, Yeseul, et al.
Published: (2022)
Multiple Jump MCMC: A Scalable Algorithm for Bayesian Inference on Binary Model Spaces
by: Vogels, Lucas, et al.
Published: (2026)
by: Vogels, Lucas, et al.
Published: (2026)
Bayesian Power and Sample Size Calculations for Bayes Factors in the Binomial Setting
by: Kelter, Riko, et al.
Published: (2025)
by: Kelter, Riko, et al.
Published: (2025)
Sample Size and Bias Approximations For Continuous Exposures Measured with Error
by: Kim, Honghyok
Published: (2024)
by: Kim, Honghyok
Published: (2024)
Deep mixture of linear mixed models for complex longitudinal data
by: Kock, Lucas, et al.
Published: (2023)
by: Kock, Lucas, et al.
Published: (2023)
Sample Size Selection under an Infill Asymptotic Domain
by: Natoli, Cory W., et al.
Published: (2024)
by: Natoli, Cory W., et al.
Published: (2024)
Multinomial mixture for spatial data
by: Nalpantidi, Anna, et al.
Published: (2024)
by: Nalpantidi, Anna, et al.
Published: (2024)
A Conway-Maxwell-Multinomial Distribution for Flexible Modeling of Clustered Categorical Data
by: Morris, Darcy Steeg, et al.
Published: (2019)
by: Morris, Darcy Steeg, et al.
Published: (2019)
Multinomial probit model based on joint quantile regression
by: Okabe, Masaaki, et al.
Published: (2025)
by: Okabe, Masaaki, et al.
Published: (2025)
Bayesian Multinomial Logistic Regression for Numerous Categories
by: Fisher, Jared D., et al.
Published: (2022)
by: Fisher, Jared D., et al.
Published: (2022)
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)
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
by: Hansen, Blake, et al.
Published: (2023)
by: Hansen, Blake, et al.
Published: (2023)
Similar Items
-
Variational inference for hierarchical models with conditional scale and skewness corrections
by: Kock, Lucas, et al.
Published: (2025) -
Conjugating Variational Inference for Large Mixed Multinomial Logit Models and Consumer Choice
by: Zhang, Weiben, et al.
Published: (2026) -
Scalable Estimation of Multinomial Response Models with Random Consideration Sets
by: Chib, Siddhartha, et al.
Published: (2023) -
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
by: Saxena, Manan, et al.
Published: (2024) -
Computationally Efficient Estimation of Large Probit Models
by: Ding, Patrick, et al.
Published: (2024)