Bayesian adaptive group Lasso with semiparametric hidden Markov models

Cites Work

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BFLCRM: a Bayesian functional linear Cox regression model for predicting time to conversion to Alzheimer's disease
Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models
Statistics for high-dimensional data. Methods, theory and applications.
Bayesian group Lasso for nonparametric varying-coefficient models with application to functional genome-wide association studies
A note on adaptive group Lasso
Inference in hidden Markov models.
Penalized estimation in high-dimensional hidden Markov models with state-specific graphical models
Penalized regression, standard errors, and Bayesian Lassos
Bayesian Lasso for Semiparametric Structural Equation Models
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Bayesian Non-Parametric Hidden Markov Models with Applications in Genomics
Bayesian Measures of Model Complexity and Fit
Regression coefficient and autoregressive order shrinkage and selection via the lasso
Equation of State Calculations by Fast Computing Machines
A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure
Hidden Markov latent variable models with multivariate longitudinal data
Model Selection and Estimation in Regression with Grouped Variables
Monte Carlo sampling methods using Markov chains and their applications
Hidden Markov Models for Longitudinal Comparisons
Deviance information criteria for missing data models
The Elements of Statistical Learning