The following pages link to Bayesian Analysis (Q61838):
Displaying 50 items.
- Regularization and confounding in linear regression for treatment effect estimation (Q1752011) (← links)
- Dirichlet process mixture models for modeling and generating synthetic versions of nested categorical data (Q1752012) (← links)
- Optimal Gaussian approximations to the posterior for log-linear models with Diaconis-Ylvisaker priors (Q1752014) (← links)
- Locally adaptive smoothing with Markov random fields and shrinkage priors (Q1752016) (← links)
- Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion) (Q1752017) (← links)
- Bayesian method for causal inference in spatially-correlated multivariate time series (Q1757655) (← links)
- Filtering and estimation for a class of stochastic volatility models with intractable likelihoods (Q1757658) (← links)
- Bayesian analysis of dynamic linear topic models (Q1757661) (← links)
- Joining and splitting models with Markov melding (Q1757664) (← links)
- Bayesian functional linear regression with sparse step functions (Q1757666) (← links)
- Bayesian emulation for multi-step optimization in decision problems (Q1757667) (← links)
- Mixture modeling on related samples by \(\psi\)-stick breaking and kernel perturbation (Q1757668) (← links)
- Objective Bayesian analysis for Gaussian hierarchical models with intrinsic conditional autoregressive priors (Q1757670) (← links)
- Bayesian parametric bootstrap for models with intractable likelihoods (Q1757671) (← links)
- On Bayesian oracle properties (Q1757672) (← links)
- Centered partition processes: informative priors for clustering (with discussion) (Q2057318) (← links)
- Predictive inference with Fleming-Viot-driven dependent Dirichlet processes (Q2057319) (← links)
- Adaptive approximate Bayesian computation tolerance selection (Q2057322) (← links)
- Bayesian deconvolution and quantification of metabolites from \(J\)-resolved NMR spectroscopy (Q2057325) (← links)
- Dynamic regression models for time-ordered functional data (Q2057327) (← links)
- A Bayesian factor model for spatial panel data with a separable covariance approach (Q2057328) (← links)
- Bayesian multiple changepoint detection for stochastic models in continuous time (Q2057329) (← links)
- Bayesian effect selection in structured additive distributional regression models (Q2057331) (← links)
- Particle methods for stochastic differential equation mixed effects models (Q2057332) (← links)
- Max-and-smooth: a two-step approach for approximate Bayesian inference in latent Gaussian models (Q2057335) (← links)
- Bayesian inference over the Stiefel manifold via the Givens representation (Q2057336) (← links)
- Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion) (Q2057337) (← links)
- A role for symmetry in the Bayesian solution of differential equations (Q2057339) (← links)
- Recycling intermediate steps to improve Hamiltonian Monte Carlo (Q2057341) (← links)
- Intuitive joint priors for variance parameters (Q2057345) (← links)
- A Dirichlet process mixture model for non-ignorable dropout (Q2057350) (← links)
- Theory of optimal Bayesian feature filtering (Q2057352) (← links)
- Flexible Bayesian dynamic modeling of correlation and covariance matrices (Q2057355) (← links)
- High dimensional single-index Bayesian modeling of brain atrophy (Q2057356) (← links)
- Calibrating expert assessments using hierarchical Gaussian process models (Q2057359) (← links)
- Restricted type II maximum likelihood priors on regression coefficients (Q2057361) (← links)
- An explanatory rationale for priors sharpened into Occam's razors (Q2057362) (← links)
- Nested adaptation of MCMC algorithms (Q2057363) (← links)
- On a class of objective priors from scoring rules (with discussion) (Q2057364) (← links)
- A Bayesian hierarchical model for criminal investigations (Q2057365) (← links)
- On a new class of multivariate prior distributions: theory and application in reliability (Q2057367) (← links)
- Where is the clean air? A Bayesian decision framework for personalised cyclist route selection using R-INLA (Q2057372) (← links)
- On the existence of uniformly most powerful Bayesian tests with application to non-central chi-squared tests (Q2057374) (← links)
- Comparison of Bayesian and frequentist multiplicity correction for testing mutually exclusive hypotheses under data dependence (Q2057375) (← links)
- Objective Bayesian analysis for the Student-\(t\) linear regression (Q2057376) (← links)
- Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations (Q2057377) (← links)
- A phase I-II basket trial design to optimize dose-schedule regimes based on delayed outcomes (Q2057378) (← links)
- Using prior expansions for prior-data conflict checking (Q2057380) (← links)
- Dynamic variable selection with spike-and-slab process priors (Q2057381) (← links)
- A model selection approach for variable selection with censored data (Q2057383) (← links)
