Dynamic quantile linear models: a Bayesian approach
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Publication:2226684
DOI10.1214/19-BA1156zbMath1459.62050arXiv1711.00162OpenAlexW2964247004MaRDI QIDQ2226684
Helio S. Migon, Kelly C. M. Gonçalves, Leonardo S. L. Bastos
Publication date: 9 February 2021
Published in: Bayesian Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1711.00162
Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
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Cites Work
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- Bayesian analysis of a Tobit quantile regression model
- Bayesian quantile regression for ordinal models
- Using quantile regression for rate-making
- Bayesian forecasting and dynamic models.
- Bayesian thinking, modeling and computation.
- Dynamic survival models with spatial frailty
- Dynamic Bayesian beta models
- Particle learning and smoothing
- Space-varying regression models: specifications and simulation
- Sequential Monte Carlo smoothing with parameter estimation
- Extended dynamic generalized linear models: the two-parameter exponential family
- Spatial dynamic factor analysis
- Bayesian Quantile Regression for Censored Data
- Dynamic Multiscale Spatiotemporal Models for Gaussian Areal Data
- Dynamic Generalized Linear Models and Bayesian Forecasting
- Regression Quantiles
- The problem of the Nile: Conditional solution to a changepoint problem
- DATA AUGMENTATION AND DYNAMIC LINEAR MODELS
- Partial non-Gaussian state space
- On Gibbs sampling for state space models
- A simple and efficient simulation smoother for state space time series analysis
- Dynamic dependence networks: Financial time series forecasting and portfolio decisions
- Bayesian quantile regression for longitudinal data models
- Modelling zero-inflated spatio-temporal processes
- Bayesian quantile regression for ordinal longitudinal data
- Bayesian quantile regression for hierarchical linear models
- Bayesian Spatial Quantile Regression
- Gibbs sampling methods for Bayesian quantile regression
- Dynamic Linear Models with R
- A new Bayesian approach to quantile autoregressive time series model estimation and forecasting
- Bayesian quantile regression
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
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