Pages that link to "Item:Q1126478"

The following pages link to Nonparametric regression using Bayesian variable selection (Q1126478):

Displaying 50 items.

• Bayesian predictive simultaneous variable and transformation selection in the linear model. (Q1274151) (← links)
• Decomposing posterior variance (Q1417812) (← links)
• A comparison of regression spline smoothing procedures (Q1424601) (← links)
• Function estimation with locally adaptive dynamic models (Q1424615) (← links)
• Regression spline smoothing using the minimum description length principle (Q1567321) (← links)
• Nonparametric seemingly unrelated regression (Q1586549) (← links)
• Bayesian analysis of generalized partially linear single-index models (Q1615153) (← links)
• Penalized likelihood and Bayesian function selection in regression models (Q1621251) (← links)
• Fast Bayesian model assessment for nonparametric additive regression (Q1621314) (← links)
• Characterising economic trends by Bayesian stochastic model specification search (Q1621317) (← links)
• Bayesian variable selection for correlated covariates via colored cliques (Q1621667) (← links)
• Bayesian variable selection under the proportional hazards mixed-effects model (Q1623473) (← links)
• Variational inferences for partially linear additive models with variable selection (Q1623714) (← links)
• Efficient model comparison techniques for models requiring large scale data augmentation (Q1631557) (← links)
• Big data Bayesian linear regression and variable selection by normal-inverse-gamma summation (Q1631590) (← links)
• Bayesian spatiotemporal modeling using hierarchical spatial priors, with applications to functional magnetic resonance imaging (with discussion) (Q1631610) (← links)
• Analysis of binary longitudinal data with time-varying effects (Q1654267) (← links)
• Bayesian variable selection for a semi-competing risks model with three hazard functions (Q1654272) (← links)
• Bayesian model selection in ordinal quantile regression (Q1658985) (← links)
• Simultaneous fitting of Bayesian penalised quantile splines (Q1727924) (← links)
• Tree ensembles with rule structured horseshoe regularization (Q1728658) (← links)
• Bayesian variable selection in linear regression (Q1733296) (← links)
• Bayesian methods for estimating multi-segment discharge rating curves (Q1741104) (← links)
• Bayesian analysis of dynamic panel data by penalized quantile regression (Q1742844) (← links)
• On the choice of difference sequence in a unified framework for variance estimation in nonparametric regression (Q1750258) (← links)
• Model uncertainty (Q1766316) (← links)
• Nonparametric Bayesian data analysis (Q1766317) (← links)
• Conjugate priors and variable selection for Bayesian quantile regression (Q1800091) (← links)
• Spline adaptation in extended linear models (Q1872592) (← links)
• Bayesian variable selection for logistic mixed model with nonparametric random effects (Q1927042) (← links)
• Semiparametric regression during 2003--2007 (Q1952023) (← links)
• Bayesian adaptive B-spline estimation in proportional hazards frailty models (Q1952074) (← links)
• Classification of brain activation via spatial Bayesian variable selection in fMRI regression (Q2009039) (← links)
• Bayesian effect selection in structured additive distributional regression models (Q2057331) (← links)
• Objective Bayesian group variable selection for linear model (Q2155018) (← links)
• Bayesian variable selection and estimation in quantile regression using a quantile-specific prior (Q2155021) (← links)
• Bayesian variable selection for mixed effects model with shrinkage prior (Q2184407) (← links)
• Discovering interactions using covariate informed random partition models (Q2233126) (← links)
• A discrete density approach to Bayesian quantile and expectile regression with discrete responses (Q2241715) (← links)
• Generalized structured additive regression based on Bayesian P-splines (Q2257593) (← links)
• Applications of Bayesian gene selection and classification with mixtures of generalized singular \(g\)-priors (Q2262183) (← links)
• Consistency of Bayesian linear model selection with a growing number of parameters (Q2276179) (← links)
• Implicit copulas from Bayesian regularized regression smoothers (Q2290705) (← links)
• Inferring network structure from interventional time-course experiments (Q2349590) (← links)
• Bayesian variable selection in multinomial probit model for classifying high-dimensional data (Q2354735) (← links)
• Identifying local smoothness for spatially inhomogeneous functions (Q2403406) (← links)
• An MCMC approach to empirical Bayes inference and Bayesian sensitivity analysis via empirical processes (Q2413604) (← links)
• Bayesian variable selection and model averaging in the arbitrage pricing theory model (Q2445778) (← links)
• Bayesian variable selection for Poisson regression with underreported responses (Q2445782) (← links)
• Bayesian variable selection for high dimensional generalized linear models: convergence rates of the fitted densities (Q2456008) (← links)