Cover Image

Logit unfolding choice models for binary data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lei, Rayleigh, Rodriguez, Abel
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling Ordinal Survey Data with Unfolding Models
by: Lei, Rayleigh, et al.
Published: (2026)

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

Calibrating hierarchical Bayesian domain inference for a proportion
by: Lei, Rayleigh, et al.
Published: (2025)

The connection of the stability of the binary choice model with its discriminatory power
by: Pomazanov, M.
Published: (2025)

Dynamic Factor Models for Binary Data in Circular Spaces: An Application to the U.S. Supreme Court
by: Lei, Rayleigh, et al.
Published: (2023)

A Novel Class of Unfolding Models for Binary Preference Data
by: Lei, Rayleigh, et al.
Published: (2023)

Doubly unfolded adjacency spectral embedding of dynamic multiplex graphs
by: Baum, Maximilian, et al.
Published: (2024)

Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models
by: Porwal, Anupreet, et al.
Published: (2024)

Semiparametric estimation for multivariate Hawkes processes using dependent Dirichlet processes: An application to order flow data in financial markets
by: Jiang, Alex Ziyu, et al.
Published: (2025)

A generalised discrete mixture model to better capture preference heterogeneity in discrete choice data
by: Hancock, Thomas O., et al.
Published: (2025)

Structured Mixture of Continuation-ratio Logits Models for Ordinal Regression
by: Kang, Jizhou, et al.
Published: (2022)

Regression models for binary data with scale mixtures of centered skew-normal link functions
by: de Freitas, João Victor B., et al.
Published: (2024)

Identification of Dynamic Panel Logit Models with Fixed Effects
by: Dobronyi, Christopher, et al.
Published: (2021)

On Data Analysis Pipelines and Modular Bayesian Modeling
by: Lipman, Erin, et al.
Published: (2024)

Ranked-choice conjoint experiments
by: Robinson, Thomas S., et al.
Published: (2026)

Misspecifications in structural equation modeling: The choice of latent variables, causal-formative constructs or composites
by: Bauer, Jonas, et al.
Published: (2025)

Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models
by: Davezies, Laurent, et al.
Published: (2021)

On a class of binary regression models and their robust estimation
by: Hayashi, Kenichi, et al.
Published: (2025)

Multiple imputation for multilevel data with continuous and binary variables
by: Audigier, Vincent, et al.
Published: (2017)

A novel multivariate regression model for unbalanced binary data : a strong conjugacy under random effect approach
by: Fabio, Lizandra C., et al.
Published: (2024)

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

Conditional GLMMs for reaction times in choice tasks
by: Tejo, Mauricio, et al.
Published: (2025)

Improvements on Scalable Stochastic Bayesian Inference Methods for Multivariate Hawkes Process
by: Jiang, Alex Ziyu, et al.
Published: (2023)

Random forests for binary geospatial data
by: Saha, Arkajyoti, et al.
Published: (2023)

Bayesian sequential analysis of adverse events with binary data
by: Wang, Jiayue, et al.
Published: (2025)

Handling outcome-dependent missingness with binary responses: A Heckman-like model
by: Doretti, Marco, et al.
Published: (2025)

Stochastic Gradient Variational Bayes in the Stochastic Blockmodel
by: Regueiro, Pedro, et al.
Published: (2024)

Optimal Bayesian stepped-wedge cluster randomised trial designs for binary outcome data
by: Etfer, Laura, et al.
Published: (2024)

Arc travel time and path choice model estimation subsumed
by: Mohammadpour, Sobhan, et al.
Published: (2022)

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

Monotone data augmentation algorithm for longitudinal continuous, binary and ordinal outcomes: a unifying approach
by: Tang, Yongqiang
Published: (2025)

Testing for causal effect for binary data when propensity scores are estimated through Bayesian Networks
by: Vicard, Paola, et al.
Published: (2023)

Determinants of financial and digital inclusion in West and Central Africa: Evidence from binary models with cross-validation
by: Jallow, Ismaila A., et al.
Published: (2025)

Table inference for combinatorial origin-destination choices in agent-based population synthesis
by: Zachos, Ioannis, et al.
Published: (2023)

Identifying Hierarchical Structures in Network Data
by: Regueiro, Pedro, et al.
Published: (2024)

Overstuffed sandwiches and separation anxiety: finite-sample variance estimation for penalized GEE with near-separated binary data
by: Afiaz, Awan, et al.
Published: (2026)

Information borrowing in Bayesian clinical trials: choice of tuning parameters for the robust mixture prior
by: Weru, Vivienn, et al.
Published: (2024)

Producing treatment hierarchies in network meta-analysis using probabilistic models and treatment-choice criteria
by: Evrenoglou, Theodoros, et al.
Published: (2024)

Surrogate-based ABC matches generalized Bayesian inference under specific discrepancy and kernel choices
by: Järvenpää, Marko, et al.
Published: (2025)

Multivariate binary probability distribution in the Grassmann formalism
by: Arai, Takashi
Published: (2020)