Copertina

Conjugating Variational Inference for Large Mixed Multinomial Logit Models and Consumer Choice

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Weiben, Loaiza-Maya, Ruben, Smith, Michael Stanley, Maneesoonthorn, Worapree
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Methodology Applications
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Natural Gradient Hybrid Variational Inference with Application to Deep Mixed Models
di: Zhang, Weiben, et al.
Pubblicazione: (2023)

Tractable Unified Skew-t Distribution and Copula for Heterogeneous Asymmetries
di: Deng, Lin, et al.
Pubblicazione: (2025)

Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
di: Saxena, Manan, et al.
Pubblicazione: (2024)

Probabilistic Predictions of Option Prices with Modular Approximate Bayesian Inference
di: Maneesoonthorn, Worapree, et al.
Pubblicazione: (2024)

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

Variational Inference for Fully Bayesian Hierarchical Linear Models
di: Parra-Aldana, Cristian, et al.
Pubblicazione: (2025)

A Bayesian Approach for Inference on Mixed Graphical Models
di: Florez, Mauro, et al.
Pubblicazione: (2025)

Identifiability of the Multinomial Processing Tree-IRT model for the Philadelphia Naming Test
di: Womack, Andrew J., et al.
Pubblicazione: (2023)

Assessing the Accuracy of Multisource Register-based Official Statistics for Multinomial Outcomes
di: Deliu, Nina, et al.
Pubblicazione: (2025)

A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
di: Erlandson, Brody, et al.
Pubblicazione: (2026)

Prediction Inference Using Generalized Functional Mixed Effects Models
di: Zhou, Xinkai, et al.
Pubblicazione: (2025)

Fast Computer Model Calibration using Annealed and Transformed Variational Inference
di: Cho, Dongkyu Derek, et al.
Pubblicazione: (2022)

Scalable Estimation of Multinomial Response Models with Random Consideration Sets
di: Chib, Siddhartha, et al.
Pubblicazione: (2023)

A Dirichlet-Multinomial-Poisson framework for the coherent analysis and forecast of cause-specific mortality
di: Nigri, Andrea, et al.
Pubblicazione: (2026)

Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
di: Yue, Kun, et al.
Pubblicazione: (2024)

The Use of Variational Inference for Lifetime Data with Spatial Correlations
di: Wang, Yueyao, et al.
Pubblicazione: (2025)

$\ell_1$-penalized Multinomial Regression: Estimation, inference, and prediction, with an application to risk factor identification for different dementia subtypes
di: Tian, Ye, et al.
Pubblicazione: (2023)

Functional Factor Modeling of Brain Connectivity
di: Stanley, Kyle, et al.
Pubblicazione: (2024)

The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
di: Krause, Joshua, et al.
Pubblicazione: (2025)

Cumulative Logit Ordinal Regression with Proportional Odds under Nonignorable Missing Response -- Application to Phase III Trial
di: Maity, Arnab Kumar, et al.
Pubblicazione: (2025)

Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns
di: Deng, Lin, et al.
Pubblicazione: (2023)

A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
di: Chen, Yunxiao
Pubblicazione: (2019)

Scalable Variational Inference for Multinomial Probit Models under Large Choice Sets and Sample Sizes
di: Kim, Gyeongjun, et al.
Pubblicazione: (2025)

Causal Discovery on Dependent Mixed Data with Applications to Gene Regulatory Network Inference
di: Chen, Alex, et al.
Pubblicazione: (2026)

Bayesian probabilistic projections of proportions with limited data: An application to subnational contraceptive method supply shares
di: Comiskey, Hannah, et al.
Pubblicazione: (2025)

Efficient Inference in First Passage Time Models
di: Liu, Sicheng, et al.
Pubblicazione: (2025)

Estimation and Inference for Causal Explainability
di: Zhang, Weihan, et al.
Pubblicazione: (2025)

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
di: Ng, Edwin, et al.
Pubblicazione: (2021)

Causal Inference Using Augmented Epidemic Models
di: Bong, Heejong, et al.
Pubblicazione: (2024)

lmw: Linear Model Weights for Causal Inference
di: Chattopadhyay, Ambarish, et al.
Pubblicazione: (2023)

Temporal Functional Factor Analysis of Brain Connectivity
di: Stanley, Kyle, et al.
Pubblicazione: (2025)

Modeling EEG Spectral Features through Warped Functional Mixed Membership Models
di: Landry, Emma, et al.
Pubblicazione: (2024)

The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks
di: Hong, Anni, et al.
Pubblicazione: (2024)

An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data
di: Cao, Cheng, et al.
Pubblicazione: (2024)

Longitudinal Causal Inference with Selective Eligibility
di: Jiang, Zhichao, et al.
Pubblicazione: (2024)

BMRMM: An R Package for Bayesian Markov (Renewal) Mixed Models
di: Wu, Yutong, et al.
Pubblicazione: (2024)

Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions
di: Bong, Heejong, et al.
Pubblicazione: (2023)

A Mixed Model Approach for Estimating Regional Functional Connectivity from Voxel-level BOLD Signals
di: Liu, Ruobin, et al.
Pubblicazione: (2022)

Causal Inference for Continuous Multiple Time Point Interventions
di: Schomaker, Michael, et al.
Pubblicazione: (2023)

Bond strength uncertainty quantification via confidence intervals for nondestructive evaluation of bonded composites
di: Stanley, Michael C., et al.
Pubblicazione: (2025)