The following pages link to Guido Consonni (Q251627):
Displaying 48 items.
- (Q589817) (redirect page) (← links)
- Unbiased Bayes estimates and improper priors (Q688351) (← links)
- Bayesian model comparison based on expected posterior priors for discrete decomposable graphical models (Q730838) (← links)
- Parametrizations and reference priors for multinomial decomposable graphical models (Q764506) (← links)
- Contributed discussion on article by Finegold and Drton (Q899040) (← links)
- Comment: ``Gibbs sampling, exponential families and orthogonal polynomials'' (Q900453) (← links)
- Compatibility of prior specifications across linear models (Q908147) (← links)
- Compatible priors for Bayesian model comparison with an application to the Hardy-Weinberg equilibrium model (Q1019486) (← links)
- Mean-field variational approximate Bayesian inference for latent variable models (Q1020881) (← links)
- (Q1074969) (redirect page) (← links)
- Decomposition and Bayesian analysis of invariant normal linear models (Q1074970) (← links)
- Reference priors for exponential families with simple quadratic variance function (Q1421880) (← links)
- Enriched conjugate and reference priors for the Wishart family on symmetric cones (Q1431436) (← links)
- Prior distributions for objective Bayesian analysis (Q1631565) (← links)
- Learning Markov equivalence classes of directed acyclic graphs: an objective Bayes approach (Q1631609) (← links)
- Objective Bayesian comparison of constrained analysis of variance models (Q1682437) (← links)
- Objective Bayesian model discrimination in follow-up experimental designs (Q1694014) (← links)
- Bayesian analysis of extreme values by mixture modelling (Q1887257) (← links)
- Objective Bayesian comparison of order-constrained models in contingency tables (Q2177729) (← links)
- Compatible priors for model selection of high-dimensional Gaussian DAGs (Q2215951) (← links)
- Structural learning of contemporaneous dependencies in graphical VAR models (Q2291312) (← links)
- Objective Bayes model selection of Gaussian interventional essential graphs for the identification of signaling pathways (Q2291516) (← links)
- Bayesian clustering for row effects models (Q2427173) (← links)
- Conditionally reducible natural exponential families and enriched conjugate priors (Q2739870) (← links)
- Objective Bayesian search of Gaussian directed acyclic graphical models for ordered variables with non-local priors (Q2846456) (← links)
- Tests Based on Intrinsic Priors for the Equality of Two Correlated Proportions (Q3069861) (← links)
- Objective Bayes Factors for Gaussian Directed Acyclic Graphical Models (Q3145566) (← links)
- A note on coherent invariant distributions as non-informative priors for exponential and location-scale families (Q3472966) (← links)
- (Q3484173) (← links)
- Impostazione Bayesiana di un problema di analisi discriminatoria nell'ambito di un modello non parametrico (Q3660702) (← links)
- Some remarks on the use of improper priors for the analysis of exponential regression models (Q3813059) (← links)
- (Q3823638) (← links)
- (Q3963884) (← links)
- Conjugate Priors for Exponential Families Having Quadratic Variance Functions (Q4037630) (← links)
- Compatible Prior Distributions for Directed Acyclic Graph Models (Q4665830) (← links)
- A Bayesian Hierarchical Model for the Evaluation of a Website (Q4813921) (← links)
- A Bayesian Method for Combining Results from Several Binomial Experiments (Q4866618) (← links)
- Objective Bayes Covariate‐Adjusted Sparse Graphical Model Selection (Q5357663) (← links)
- (Q5449203) (← links)
- Reference priors for discrete graphical models (Q5503372) (← links)
- The whetstone and the alum block: balanced objective Bayesian comparison of nested models for discrete data (Q5965032) (← links)
- Bayesian inference of causal effects from observational data in Gaussian graphical models (Q6047797) (← links)
- Objective methods for graphical structural learning (Q6067698) (← links)
- Bayesian causal inference in probit graphical models (Q6198362) (← links)
- Bayesian sample size determination for causal discovery (Q6577815) (← links)
- Bayesian learning of multiple directed networks from observational data (Q6617424) (← links)
- Bayesian graphical modeling for heterogeneous causal effects (Q6629904) (← links)
- Discovering causal structures in Bayesian Gaussian directed acyclic graph models (Q6668978) (← links)
