The following pages link to Bayesian Analysis (Q61838):
Displaying 50 items.
- Bayesian quantile regression based on the empirical likelihood with spike and slab priors (Q516514) (← links)
- Optimal Bayesian experimental design for models with intractable likelihoods using indirect inference applied to biological process models (Q516516) (← links)
- Efficient Metropolis-Hastings proposal mechanisms for Bayesian regression tree models (Q516518) (← links)
- Comment on article by Pratola (Q516519) (← links)
- Contributed discussion on article by Pratola (Q516525) (← links)
- Rejoinder: ``Efficient Metropolis-Hastings proposal mechanisms for Bayesian regression tree models'' (Q516526) (← links)
- Bayes factors for smoothing spline ANOVA (Q516529) (← links)
- Bayesian lattice filters for time-varying autoregression and time-frequency analysis (Q516530) (← links)
- Context-dependent score based Bayesian information criteria (Q516533) (← links)
- Spatial panel data model with error dependence: a Bayesian separable covariance approach (Q516534) (← links)
- Scale-dependent priors for variance parameters in structured additive distributional regression (Q516537) (← links)
- New classes of priors based on stochastic orders and distortion functions (Q516540) (← links)
- Bayesian semiparametric inference on functional relationships in linear mixed models (Q516543) (← links)
- A new family of non-local priors for chain event graph model selection (Q516545) (← links)
- Bayesian analysis of continuous time Markov chains with application to phylogenetic modelling (Q516549) (← links)
- Bayesian solution uncertainty quantification for differential equations (Q516553) (← links)
- Comment on article by Chkrebtii, Campbell, Calderhead and Girolami (Q516555) (← links)
- Contributed discussion on article by Chkrebtii, Campbell, Calderhead and Girolami (Q516561) (← links)
- Rejoinder: ``Bayesian solution uncertainty quantification for differential equations'' (Q516562) (← links)
- Inference in two-piece location-scale models with Jeffreys priors (Q899001) (← links)
- Comment on article by Rubio and Steel (Q899002) (← links)
- Rejoinder: ``Inference in two-piece location-scale models with Jeffreys priors'' (Q899003) (← links)
- Chain event graphs for informed missingness (Q899005) (← links)
- Bayes linear sufficiency in non-exchangeable multivariate multiple regressions (Q899006) (← links)
- Zero variance differential geometric Markov chain Monte Carlo algorithms (Q899008) (← links)
- Marginal posterior simulation via higher-order tail area approximations (Q899009) (← links)
- A Bayesian nonparametric approach for time series clustering (Q899011) (← links)
- Regularized Bayesian estimation of generalized threshold regression models (Q899014) (← links)
- Objective prior for the number of degrees of freedom of a \(t\) distribution (Q899016) (← links)
- Incorporating grouping information in Bayesian variable selection with applications in genomics (Q899018) (← links)
- Matrix-variate Dirichlet process priors with applications (Q899020) (← links)
- Bayesian sequential experimental design for binary response data with application to electromyographic experiments (Q899024) (← links)
- Local-mass preserving prior distributions for nonparametric Bayesian models (Q899026) (← links)
- On divergence measures leading to Jeffreys and other reference priors (Q899027) (← links)
- Bayesian analysis of the functional-coefficient autoregressive heteroscedastic model (Q899028) (← links)
- Bayesian adaptive smoothing splines using stochastic differential equations (Q899029) (← links)
- Laplace approximation for logistic Gaussian process density estimation and regression (Q899031) (← links)
- Bayesian regularization via graph Laplacian (Q899032) (← links)
- Adaptive Bayesian density estimation in \(L^p\)-metrics with Pitman-Yor or normalized inverse-Gaussian process kernel mixtures (Q899034) (← links)
- Robust Bayesian graphical modeling using Dirichlet \(t\)-distributions (Q899035) (← links)
- Comment on article by Finegold and Drton (Q899037) (← links)
- Contributed discussion on article by Finegold and Drton (Q899040) (← links)
- Rejoinder: ``Robust Bayesian graphical modeling using Dirichlet \(t\)-distributions'' (Q899041) (← links)
- Informative \(g\)-priors for logistic regression (Q899042) (← links)
- Cluster analysis, model selection, and prior distributions on models (Q899044) (← links)
- The performance of covariance selection methods that consider decomposable models only (Q899046) (← links)
- Toward rational social decisions: a review and some results (Q899047) (← links)
- Spatial Bayesian variable selection models on functional magnetic resonance imaging time-series data (Q899050) (← links)
- Bayesian multiscale smoothing of Gaussian noised images (Q899051) (← links)
- A tractable state-space model for symmetric positive-definite matrices (Q899053) (← links)
