The following pages link to Bayesian Analysis (Q61838):
Displaying 50 items.
- Rank-normalization, folding, and localization: an improved \(\widehat{R}\) for assessing convergence of MCMC (with Discussion) (Q2111117) (← links)
- Dynamic quantile linear models: a Bayesian approach (Q2226684) (← links)
- Bayesian bootstraps for massive data (Q2226685) (← links)
- A new Bayesian approach to robustness against outliers in linear regression (Q2226686) (← links)
- Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data (Q2226688) (← links)
- Bayesian inference in nonparanormal graphical models (Q2226690) (← links)
- Joint modeling of longitudinal relational data and exogenous variables (Q2226691) (← links)
- Function-specific mixing times and concentration away from equilibrium (Q2226692) (← links)
- A loss-based prior for variable selection in linear regression methods (Q2226693) (← links)
- Bayesian sparse multivariate regression with asymmetric nonlocal priors for microbiome data analysis (Q2226696) (← links)
- Bayesian quantile regression with mixed discrete and nonignorable missing covariates (Q2226698) (← links)
- Bayesian inference of spatio-temporal changes of arctic sea ice (Q2226700) (← links)
- A unified framework for de-duplication and population size estimation (with discussion) (Q2226702) (← links)
- Gibbs-type Indian buffet processes (Q2226703) (← links)
- Mixed membership stochastic blockmodels for heterogeneous networks (Q2226704) (← links)
- Bayesian bandwidth test and selection for high-dimensional banded precision matrices (Q2226705) (← links)
- A new Bayesian single index model with or without covariates missing at random (Q2226707) (← links)
- Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies (Q2226709) (← links)
- Hierarchical species sampling models (Q2226710) (← links)
- Efficient Bayesian model choice for partially observed processes: with application to an experimental transmission study of an infectious disease (Q2226713) (← links)
- Conjugate priors and posterior inference for the matrix Langevin distribution on the Stiefel manifold (Q2226714) (← links)
- Consistent group selection with Bayesian high dimensional modeling (Q2226716) (← links)
- Infinite mixtures of infinite factor analysers (Q2226717) (← links)
- On the geometry of Bayesian inference (Q2290698) (← links)
- Beyond Whittle: nonparametric correction of a parametric likelihood with a focus on Bayesian time series analysis (Q2290700) (← links)
- Post-processing posteriors over precision matrices to produce sparse graph estimates (Q2290702) (← links)
- Variance prior forms for high-dimensional Bayesian variable selection (Q2290703) (← links)
- Bayesian functional forecasting with locally-autoregressive dependent processes (Q2290704) (← links)
- Implicit copulas from Bayesian regularized regression smoothers (Q2290705) (← links)
- Estimating the use of public lands: integrated modeling of open populations with convolution likelihood ecological abundance regression (Q2290709) (← links)
- Stochastic approximations to the Pitman-Yor process (Q2290710) (← links)
- Spatial disease mapping using directed acyclic graph auto-regressive (DAGAR) models (Q2290712) (← links)
- Calibration procedures for approximate Bayesian credible sets (Q2290713) (← links)
- Hierarchical normalized completely random measures for robust graphical modeling (Q2290716) (← links)
- Latent nested nonparametric priors (with discussion) (Q2290717) (← links)
- Scalable Bayesian inference for the inverse temperature of a hidden Potts model (Q2297228) (← links)
- The Bayesian update: variational formulations and gradient flows (Q2297229) (← links)
- Bayesian estimation under informative sampling with unattenuated dependence (Q2297230) (← links)
- Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior (Q2297232) (← links)
- Bayesian design of experiments for intractable likelihood models using coupled auxiliary models and multivariate emulation (Q2297233) (← links)
- Detecting structural changes in longitudinal network data (Q2297236) (← links)
- Adaptive Bayesian nonparametric regression using a kernel mixture of polynomials with application to partial linear models (Q2297237) (← links)
- Determinantal point process mixtures via spectral density approach (Q2297238) (← links)
- Learning semiparametric regression with missing covariates using Gaussian process models (Q2297240) (← links)
- High-dimensional posterior consistency for hierarchical non-local priors in regression (Q2297241) (← links)
- Alleviating spatial confounding for areal data problems by displacing the geographical centroids (Q2316977) (← links)
- A Bayesian nonparametric multiple testing procedure for comparing several treatments against a control (Q2316978) (← links)
- Low information omnibus (LIO) priors for Dirichlet process mixture models (Q2316979) (← links)
- Model criticism in latent space (Q2316980) (← links)
- Semiparametric multivariate and multiple change-point modeling (Q2316981) (← links)
