Online Bayesian learning for mixtures of spatial spline regressions with mixed effects
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Publication:5083332
DOI10.1080/00949655.2021.2002329OpenAlexW3216346225MaRDI QIDQ5083332
Farouk S. Nathoo, Shufei Ge, Shijia Wang, Liang-Liang Wang
Publication date: 22 June 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2021.2002329
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Cites Work
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- Lookahead strategies for sequential Monte Carlo
- Understanding predictive information criteria for Bayesian models
- Particle learning and smoothing
- Dealing with label switching in mixture models under genuine multimodality
- Interpretation and inference in mixture models: simple MCMC works
- Mixtures of spatial spline regressions for clustering and classification
- Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference
- Efficient semiparametric estimation in generalized partially linear additive models for longitudinal/clustered data
- Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
- Particle learning for general mixtures
- Following a Moving Target—Monte Carlo Inference for Dynamic Bayesian Models
- Functional Linear Discriminant Analysis for Irregularly Sampled Curves
- An Asynchronous Distributed Expectation Maximization Algorithm for Massive Data: The DEM Algorithm
- Marginal Likelihood Estimation via Power Posteriors
- Sequential importance sampling for nonparametric Bayes models: The next generation
- The Effect of Improper Priors on Gibbs Sampling in Hierarchical Linear Mixed Models
- The historical functional linear model
- Clustering for Sparsely Sampled Functional Data
- Dealing With Label Switching in Mixture Models
- Sequential Monte Carlo Methods for Dynamic Systems
- Filtering via Simulation: Auxiliary Particle Filters
- A Functional Data—Analytic Approach to Signal Discrimination
- Soap Film Smoothing
- A variational Bayes spatiotemporal model for electromagnetic brain mapping
- Unsupervised learning of regression mixture models with unknown number of components
- Functional Modelling and Classification of Longitudinal Data*
- Spatial Spline Regression Models
- Getting It Right
- Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
