Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing
type: Item
instance of: scholarly article
title: Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing
DOI: 10.1080/00401706.2022.2134928
author: Xiao-Yu Chen
author: Xiaoning Kang
author: Ran Jin
author: Xinwei Deng
published in: Technometrics
publication date: 2024-10-31T00:00:00Z
Mathematics Subject Classification ID: 62Pxx
zbMATH DE Number: 7937258
MaRDI profile type: Publication
cites work: Joint Bayesian analysis of multiple response-types using the hierarchical generalized transformation model
cites work: Response models for mixed binary and quantitative variables
cites work: Bayesian Nonparametric Modeling for Multivariate Ordinal Regression
cites work: A Bayesian semiparametric latent variable model for mixed responses
cites work: Regression Models for a Bivariate Discrete and Continuous Outcome with Clustering
cites work: A generative approach to modeling data with quantitative and qualitative responses
cites work: Time-varying coefficient models for joint modeling binary and continuous outcomes in longitudinal data
cites work: Bayesian variable selection regression of multivariate responses for group data
cites work: Joint modelling of mixed outcome types using latent variables
cites work: Bayesian linear regression for multivariate responses under group sparsity
cites work: Likelihood Models for Clustered Binary and Continuous Out comes: Application to Developmental Toxicology
cites work: Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models
cites work: Bayesian estimation of random effects models for multivariate responses of mixed data
cites work: Scaling it up: stochastic search structure learning in graphical models
cites work: Sparse estimation of multivariate Poisson log‐normal models from count data
description: scientific article; zbMATH DE number 7937258