Bayesian Computation in Dynamic Latent Factor Models
From MaRDI portal
Publication:5057076
DOI10.1080/10618600.2021.2021208OpenAlexW4205906338MaRDI QIDQ5057076
Mike West, Isaac Lavine, Andrew Cron
Publication date: 15 December 2022
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2007.04956
time series of countsvariational BayesBayesian forecastingcopulaedynamic generalized linear modelsmultiscale dynamic modelsscalable time series models
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- GPU-accelerated Bayesian learning and forecasting in simultaneous graphical dynamic linear models
- Bayesian forecasting and dynamic models.
- Particle learning and smoothing
- Factor stochastic volatility with time varying loadings and Markov switching regimes
- Sequential Bayesian analysis of multivariate count data
- Bayesian model selection of regular vine copulas
- Dynamics \& sparsity in latent threshold factor models: a study in multivariate EEG signal processing
- Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification
- Dynamic Bayesian predictive synthesis in time series forecasting
- Reply to discussion of ``Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions
- Time-varying joint distribution through copulas
- Spatial dynamic factor analysis
- An Approach to Distribution of the Product of Two Normal Variables
- Dynamic Generalized Linear Models and Bayesian Forecasting
- Monitoring and Adaptation in Bayesian Forecasting Models
- Bayesian Forecasting of Multinomial Time Series Through Conditional Gaussian Dynamic Models
- Dynamic dependence networks: Financial time series forecasting and portfolio decisions
- Estimation of Copula Models With Discrete Margins via Bayesian Data Augmentation
- Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting
- High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics