Cover Image

Scalable Variational Inference for Multinomial Probit Models under Large Choice Sets and Sample Sizes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Gyeongjun, Kang, Yeseul, Kock, Lucas, Bansal, Prateek, Sohn, Keemin
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conjugating Variational Inference for Large Mixed Multinomial Logit Models and Consumer Choice
by: Zhang, Weiben, et al.
Published: (2026)

Variational inference for hierarchical models with conditional scale and skewness corrections
by: Kock, Lucas, et al.
Published: (2025)

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)

Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects
by: Bellio, Ruggero, et al.
Published: (2023)

Optimal Estimation of Discrete Multiview Distributions under Heteroskedastic Multinomial Sampling
by: Tang, Runshi, et al.
Published: (2026)

Mean-field Variational Bayes for Sparse Probit Regression
by: Fasano, Augusto, et al.
Published: (2026)

Multinomial Link Models
by: Wang, Tianmeng, et al.
Published: (2023)

Marginal Effects for Probit and Tobit with Endogeneity
by: Evdokimov, Kirill S., et al.
Published: (2023)

A New Method for Multinomial Inference using Dempster-Shafer Theory
by: Lawrence, Earl C., et al.
Published: (2024)

Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning
by: Mukhopadhyay, Minerva, et al.
Published: (2021)

Truly Multivariate Structured Additive Distributional Regression
by: Kock, Lucas, et al.
Published: (2023)

Deep Generative Modeling with Spatial and Network Images: An Explainable AI (XAI) Approach
by: Jeon, Yeseul, et al.
Published: (2025)

Scalable Variational Bayes Inference for Dynamic Variable Selection
by: Bianco, Nicolas, et al.
Published: (2023)

A Multilayer Probit Network Model for Community Detection with Dependent Edges and Layers
by: Shi, Dapeng, et al.
Published: (2026)

Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
by: Kock, Lucas, et al.
Published: (2026)

Nonparametric Inference with an Instrumental Variable under a Separable Binary Treatment Choice Model
by: Park, Chan, et al.
Published: (2026)

Probit Monotone BART
by: Fisher, Jared D.
Published: (2025)

Dempster-Shafer P-values: Thoughts on an Alternative Approach for Multinomial Inference
by: Hoffman, Kentaro, et al.
Published: (2024)

Deep Probabilistic Spatial Modeling for Multivariate Mixed-Type Responses
by: Jeon, Yeseul, et al.
Published: (2026)

Uncertainty-Aware Neural Multivariate Geostatistics
by: Jeon, Yeseul, et al.
Published: (2026)

A Contaminated Model for Overdispersed Multinomial Microbiome Count Data
by: van Heerden, Ockert, et al.
Published: (2026)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)

Estimating the Effective Sample Size for an inverse problem in subsurface flows
by: Seiffert, Lucas, et al.
Published: (2024)

Multiple Jump MCMC: A Scalable Algorithm for Bayesian Inference on Binary Model Spaces
by: Vogels, Lucas, et al.
Published: (2026)

Sample Size and Bias Approximations For Continuous Exposures Measured with Error
by: Kim, Honghyok
Published: (2024)

Bayesian Power and Sample Size Calculations for Bayes Factors in the Binomial Setting
by: Kelter, Riko, et al.
Published: (2025)

pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
by: Shi, Skylar, et al.
Published: (2025)

Sample Size Selection under an Infill Asymptotic Domain
by: Natoli, Cory W., et al.
Published: (2024)

Interpretable Deep Neural Network for Modeling Functional Surrogates
by: Jeon, Yeseul, et al.
Published: (2025)

Bayesian Probit Multi-Study Non-negative Matrix Factorization for Mutational Signatures
by: Hansen, Blake, et al.
Published: (2025)

A Bayesian Convolutional Neural Network-based Generalized Linear Model
by: Jeon, Yeseul, et al.
Published: (2022)

Large Sample Inference with Dynamic Information Borrowing
by: Tarima, Sergey, et al.
Published: (2025)

A Conway-Maxwell-Multinomial Distribution for Flexible Modeling of Clustered Categorical Data
by: Morris, Darcy Steeg, et al.
Published: (2019)

Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
by: Hansen, Blake, et al.
Published: (2023)

Multinomial probit model based on joint quantile regression
by: Okabe, Masaaki, et al.
Published: (2025)

A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
by: Koslovsky, Matthew D., et al.
Published: (2023)

Bayesian Multinomial Logistic Regression for Numerous Categories
by: Fisher, Jared D., et al.
Published: (2022)

Two-Sample Hypothesis Testing for Large Random Graphs of Unequal Size
by: Jin, Xin, et al.
Published: (2024)