Pages that link to "Item:Q1977906"

The following pages link to Bayesian model selection and model averaging (Q1977906):

Displaying 50 items.

• Approximate Bayesian model selection with the deviance statistic (Q254453) (← links)
• Information optimality and Bayesian modelling (Q280206) (← links)
• Bayesian parameter estimation and model selection for strongly nonlinear dynamical systems (Q330721) (← links)
• Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic nitrogen (Q417937) (← links)
• Constructing informative model priors using hierarchical methods (Q631951) (← links)
• The flexibility of models of recognition memory: an analysis by the minimum-description length principle (Q654392) (← links)
• Model weights for model choice and averaging (Q713757) (← links)
• Bayesian averaging, prediction and nonnested model selection (Q738162) (← links)
• A generalized model for static fatigue lifetime evaluation of optical fibers to reduce the model uncertainty (Q821955) (← links)
• On the quantification of model uncertainty: a Bayesian perspective (Q823871) (← links)
• A comparison of Bayesian model selection based on MCMC with an application to GARCH-type models (Q849878) (← links)
• Inference after checking multiple Bayesian models for data conflict and applications to mitigating the influence of rejected priors (Q900266) (← links)
• Analysis of comparative data with hierarchical autocorrelation (Q958333) (← links)
• Bayesian model choice based on Monte Carlo estimates of posterior model probabilities (Q959164) (← links)
• Maximum likelihood Bayesian averaging of uncertain model predictions (Q1423620) (← links)
• Assessing model mimicry using the parametric bootstrap. (Q1431814) (← links)
• The effect of the prior distribution in the \textit{Bayesian Adjustment for Confounding} algorithm (Q1615233) (← links)
• Using stacking to average Bayesian predictive distributions (with discussion) (Q1631589) (← links)
• Slice-Gibbs sampling algorithm for estimating the parameters of a multilevel item response model (Q1645032) (← links)
• Comparison of the frequentist MATA confidence interval with Bayesian model-averaged confidence intervals (Q1657884) (← links)
• A general procedure to combine estimators (Q1660150) (← links)
• A Bayesian approach to selecting hyperelastic constitutive models of soft tissue (Q1734491) (← links)
• On Bayesian oracle properties (Q1757672) (← links)
• Model uncertainty (Q1766316) (← links)
• Normative selection of Bayesian networks (Q1776874) (← links)
• Bayesian model choice of grouped \(t\)-copula (Q1930463) (← links)
• Bayesian model selection based on parameter estimates from subsamples (Q1950737) (← links)
• A survey of Bayesian predictive methods for model assessment, selection and comparison (Q1951655) (← links)
• Accuracy, scope, and flexibility of models (Q1977902) (← links)
• An introduction to model selection (Q1977904) (← links)
• Model selection based on minimum description length (Q1977908) (← links)
• The importance of complexity in model selection (Q1977911) (← links)
• Key concepts in model selection: Performance and generalizability (Q1977913) (← links)
• Bayesian model selection in the \(\mathcal{M}\)-open setting -- approximate posterior inference and subsampling for efficient large-scale leave-one-out cross-validation via the difference estimator (Q1981162) (← links)
• Specific-to-general predictor selection in approximate autoregressions -- Monte Carlo evidence and a large scale performance assessment with real data (Q2006892) (← links)
• Bayesian modeling and computation for analyte quantification in complex mixtures using Raman spectroscopy (Q2008142) (← links)
• Decision-based model selection (Q2029390) (← links)
• Optimal designs for model averaging in non-nested models (Q2051020) (← links)
• Automated adaptation strategies for stream learning (Q2051328) (← links)
• Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation (Q2065814) (← links)
• A Bayesian approach to model individual differences and to partition individuals: case studies in growth and learning curves (Q2111322) (← links)
• A scalable multi-step least squares method for network identification with unknown disturbance topology (Q2139411) (← links)
• Variational system identification of the partial differential equations governing the physics of pattern-formation: inference under varying fidelity and noise (Q2173625) (← links)
• Bayesian model selection and the concentration of the posterior of hyperparameters (Q2259290) (← links)
• Bayesian inference with subset simulation: strategies and improvements (Q2310696) (← links)
• On the use of Bayesian model averaging for covariate selection in epidemiological modeling (Q2320835) (← links)
• Composable models for online Bayesian analysis of streaming data (Q2329734) (← links)
• Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: a tutorial (Q2332817) (← links)
• Sparse learning via Boolean relaxations (Q2349117) (← links)
• Bayesian model averaging of possibly similar nonparametric densities (Q2358922) (← links)