Pages that link to "Item:Q635421"

The following pages link to Variable selection for nonparametric Gaussian process priors: Models and computational strategies (Q635421):

Displaying 29 items.

• Bayesian manifold regression (Q282481) (← links)
• A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data (Q312903) (← links)
• Spiked Dirichlet process priors for Gaussian process models (Q544464) (← links)
• A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes (Q2044272) (← links)
• Identifying main effects and interactions among exposures using Gaussian processes (Q2078748) (← links)
• A Bayesian time-varying effect model for behavioral mHealth data (Q2078764) (← links)
• Semi-parametric Bayes regression with network-valued covariates (Q2102416) (← links)
• Jointly robust prior for Gaussian stochastic process in emulation, calibration and variable selection (Q2316987) (← links)
• Anisotropic function estimation using multi-bandwidth Gaussian processes (Q2448734) (← links)
• Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling (Q2686035) (← links)
• Subject-specific Dirichlet-multinomial regression for multi-district microbiota data analysis (Q2686051) (← links)
• A Bayesian model for the identification of differentially expressed genes in \textit{Daphnia magna} exposed to munition pollutants (Q2803504) (← links)
• Streaming-Data Selection for Gaussian-Process Modelling (Q2829652) (← links)
• Bayesian survival analysis using gamma processes with adaptive time partition (Q3389648) (← links)
• A Semiparametric Bayesian Approach to Dropout in Longitudinal Studies With Auxiliary Covariates (Q3391439) (← links)
• Nonparametric Bayesian Multiple Imputation for Missing Data Due to Mid-Study Switching of Measurement Methods (Q4916474) (← links)
• Model-averaged ℓ₁regularization using Markov chain Monte Carlo model composition (Q5220776) (← links)
• Bayesian variable selection in a class of mixture models for ordinal data: a comparative study (Q5220838) (← links)
• Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes (Q5406371) (← links)
• Bayesian Analysis of the Proportional Hazards Model with Time‐Varying Coefficients (Q5738839) (← links)
• Global optimization for mixed categorical-continuous variables based on Gaussian process models with a randomized categorical space exploration step (Q5882394) (← links)
• Time series factor models (Q6562684) (← links)
• A Bayesian zero-inflated Dirichlet-multinomial regression model for multivariate compositional count data (Q6589269) (← links)
• A Bayesian joint model for compositional mediation effect selection in microbiome data (Q6626823) (← links)
• Addressing positivity violations in causal effect estimation using Gaussian process priors (Q6629905) (← links)
• Generalized Computer Model Calibration for Radiation Transport Simulation (Q6631859) (← links)
• Transformation and Additivity in Gaussian Processes (Q6636573) (← links)
• Screening the Discrepancy Function of a Computer Model (Q6637465) (← links)
• Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery (Q6645130) (← links)