The following pages link to (Q3855968):
Displaying 34 items.
- Bayesian inference with misspecified models: inference about what? (Q394766) (← links)
- Isoseparation and robustness in parametric Bayesian inference (Q421437) (← links)
- A note on Bayesian robustness for count data (Q424822) (← links)
- Bayesian heavy-tailed models and conflict resolution: a review (Q447980) (← links)
- The outlier behaviour of probability distributions (Q918069) (← links)
- On the robustness of Bayesian networks to learning from non-conjugate sampling (Q985148) (← links)
- Bayesian robustness of the empirical distribution (Q1343685) (← links)
- Simple approximations for location and ANOVA models with non-conjugate priors (Q1367088) (← links)
- Bayesian inference in location-scale distributions with independent bivariate priors (Q1367091) (← links)
- The extended exponential power distribution and Bayesian robustness. (Q1423081) (← links)
- Robust Bayesian analysis with partially exchangeable priors (Q1600696) (← links)
- Bayesian measures of surprise for outlier detection (Q1869076) (← links)
- Density based classes of priors: Infinitesimal properties and approximations (Q1901739) (← links)
- On the posterior distribution of a location parameter from a strongly unimodal distribution (Q1962145) (← links)
- Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-\(t\) models (Q2032222) (← links)
- Evaluating Gaussian process metamodels and sequential designs for noisy level set estimation (Q2058770) (← links)
- Theoretical properties of Bayesian Student-\(t\) linear regression (Q2105358) (← links)
- Log-regularly varying scale mixture of normals for robust regression (Q2143030) (← links)
- A weighted strategy to handle likelihood uncertainty in Bayesian inference (Q2255789) (← links)
- Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic Student-\(t\) model (Q2329797) (← links)
- Robust Bayesian diagnostics (Q2365877) (← links)
- Modelling conflicting information using subexponential distributions and related classes (Q2393158) (← links)
- Robust likelihood functions in Bayesian inference (Q2475762) (← links)
- Stability of the Gibbs sampler for Bayesian hierarchical models (Q2477054) (← links)
- Bayesian model robustness via disparities (Q2513941) (← links)
- Robustness to outliers in location-scale parameter model using log-regularly varying distributions (Q2515489) (← links)
- Hierarchical Bayesian models for predicting spatially correlated curves (Q4613936) (← links)
- A Bayesian-Frequentists approach for detecting outliers in a one-way variance components model (Q5079166) (← links)
- On the robustness to outliers of the Student‐t process (Q6049757) (← links)
- Bayesian robustness modelling using the <i>O</i>‐regularly varying distributions (Q6088215) (← links)
- Robust heavy-tailed versions of generalized linear models with applications in actuarial science (Q6561262) (← links)
- Posterior robustness with milder conditions: contamination models revisited (Q6569456) (← links)
- Short proof of posterior robustness: An illustration of basic ideas in a simple case (Q6597443) (← links)
- Robustness against conflicting prior information in regression (Q6650956) (← links)
