Variational Bayesian analysis of nonhomogeneous hidden Markov models with long and ultralong sequences
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Publication:6104143
DOI10.1214/22-aoas1685OpenAlexW4367598684MaRDI QIDQ6104143
Xinyuan Chen, Y. W. Li, Joseph T. Chang, Xiang-Nan Feng
Publication date: 5 June 2023
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/22-aoas1685
variational Bayesian inferencelocal Lyapunov exponentsmobile Internet usagenonhomogeneous hidden Markov model
Cites Work
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- Local Lyapunov exponents computed from observed data
- An introduction to variational methods for graphical models
- Basic properties of the projective product with application to products of column-allowable nonnegative matrices
- Exponential forgetting and geometric ergodicity in hidden Markov models
- Inference in hidden Markov models.
- Loss of memory of hidden Markov models and Lyapunov exponents
- Bayesian nonhomogeneous Markov models via Pólya-Gamma data augmentation with applications to rainfall modeling
- Gaussian Variational Approximation With a Factor Covariance Structure
- Robust Stochastic Approximation Approach to Stochastic Programming
- A Non-Homogeneous Hidden Markov Model for Precipitation Occurrence
- Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models
- Stochastic Gradient MCMC for State Space Models
- Variational Inference for Large-Scale Models of Discrete Choice
- Mixed Hidden Markov Models
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Partially Ordered Mixed Hidden Markov Model for the Disablement Process of Older Adults
- Hidden Markov latent variable models with multivariate longitudinal data
- Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
- Bayesian analysis of non-homogeneous hidden Markov models
- A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
- A Stochastic Approximation Method
- Variational inference for Dirichlet process mixtures
- Forecasting with non-homogeneous hidden Markov models
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