scientific article; zbMATH DE number 7625183
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Publication:5054629
Augusto Fasano, Daniele Durante
Publication date: 29 November 2022
Full work available at URL: https://arxiv.org/abs/2007.06944
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
classificationBayesian inferencevariational Bayescategorical datamultinomial probit modelunified skew-normal distribution
Related Items (3)
Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors ⋮ Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A Review and New Results ⋮ Fast Variational Bayes Methods for Multinomial Probit Models
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Cites Work
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- A Bayesian analysis of the multinomial probit model using marginal data augmentation
- The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
- Some results on the multivariate truncated normal distribution
- A prospective combination of phase II and phase III in drug development
- Fast simulation of truncated Gaussian distributions
- A weakly informative default prior distribution for logistic and other regression models
- Mean-field variational approximate Bayesian inference for latent variable models
- Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models
- A Bayesian analysis of the multinomial probit model with fully identified parameters
- A Monte Carlo EM method for estimating multinomial probit models.
- Sequential Monte Carlo EM for multivariate probit models
- Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
- Sequential models in categorical regression
- Exploiting low-rank covariance structures for computing high-dimensional normal and Student-\(t\) probabilities
- A closed-form filter for binary time series
- On some properties of the unified skew normal distribution
- Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities
- Nonparametric Bayesian models through probit stick-breaking processes
- Sequential Ordinal Modeling with Applications to Survival Data
- Hierarchical Decompositions for the Computation of High-Dimensional Multivariate Normal Probabilities
- On the Unification of Families of Skew-normal Distributions
- A Method for Smoothing Simulated Moments of Discrete Probabilities in Multinomial Probit Models
- A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences
- Statistical Applications of the Multivariate Skew Normal Distribution
- The multivariate skew-normal distribution
- A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration
- Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors
- Conjugate Bayes for probit regression via unified skew-normal distributions
- MCMC for Imbalanced Categorical Data
- Bayesian Analysis of Binary and Polychotomous Response Data
- The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting
- Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors
- On Information and Sufficiency
- Scalable and accurate variational Bayes for high-dimensional binary regression models
- Bayesian auxiliary variable models for binary and multinomial regression
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