Pages that link to "Item:Q1431179"

The following pages link to Bayesian model averaging: A tutorial. (with comments and a rejoinder). (Q1431179):

Displaying 50 items.

• Model selection and model averaging after multiple imputation (Q1621356) (← links)
• Credal ensembles of classifiers (Q1621364) (← links)
• The determinants of CDS spreads: evidence from the model space (Q1621637) (← links)
• A comparison of truncated and time-weighted Plackett-Luce models for probabilistic forecasting of Formula One results (Q1631548) (← links)
• Using stacking to average Bayesian predictive distributions (with discussion) (Q1631589) (← links)
• Bayesian model selection of regular vine copulas (Q1631599) (← links)
• Conditional quantile correlation screening procedure for ultrahigh-dimensional varying coefficient models (Q1643796) (← links)
• Model averaging procedure for varying-coefficient partially linear models with missing responses (Q1657871) (← links)
• Comparison of the frequentist MATA confidence interval with Bayesian model-averaged confidence intervals (Q1657884) (← links)
• Hybrid Bayes factors for genome-wide association studies when a robust test is used (Q1658324) (← links)
• Detection of influential points as a byproduct of resampling-based variable selection procedures (Q1658400) (← links)
• Estimation and variable selection for proportional response data with partially linear single-index models (Q1659464) (← links)
• Robust and parallel Bayesian model selection (Q1663127) (← links)
• Estimating average treatment effect by model averaging (Q1663952) (← links)
• On the dominance of Mallows model averaging estimator over ordinary least squares estimator (Q1668226) (← links)
• Bayesian model selection for nonlinear aeroelastic systems using wind-tunnel data (Q1668780) (← links)
• A tutorial on bridge sampling (Q1690608) (← links)
• Sequential data assimilation with multiple nonlinear models and applications to subsurface flow (Q1691889) (← links)
• Risk stratification in compartmental epidemic models: where to draw the line? (Q1704216) (← links)
• Hierarchical model for forecasting the outcomes of binary referenda (Q1727897) (← links)
• Forecasting seasonal time series data: a Bayesian model averaging approach (Q1729308) (← links)
• Improved model-based clustering performance using Bayesian initialization averaging (Q1729337) (← links)
• A general framework for frequentist model averaging (Q1729944) (← links)
• Temporal variation and scale in movement-based resource selection functions (Q1731181) (← links)
• Combining climate model output via model correlations (Q1731718) (← links)
• Bayesian model averaging assessment on groundwater management under model structure uncertainty (Q1731719) (← links)
• Incorporating subjective and stochastic uncertainty in an interactive multi-objective groundwater calibration framework (Q1731722) (← links)
• An introduction to the Bayes information criterion: theoretical foundations and interpretation (Q1733295) (← links)
• Weighted-average least squares estimation of generalized linear models (Q1745611) (← links)
• Model uncertainty (Q1766316) (← links)
• A class of model averaging estimators (Q1787243) (← links)
• Variable selection in qualitative models via an entropic explanatory power (Q1869081) (← links)
• Information theory, model error, and predictive skill of stochastic models for complex nonlinear systems (Q1926280) (← links)
• Shrinkage averaging estimation (Q1928360) (← links)
• Model averaging for varying-coefficient partially linear measurement error models (Q1950848) (← links)
• A survey of Bayesian predictive methods for model assessment, selection and comparison (Q1951655) (← 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)
• A sequential calibration and validation framework for model uncertainty quantification and reduction (Q2021198) (← links)
• Multivariate time series analysis from a Bayesian machine learning perspective (Q2023869) (← links)
• Time-varying model averaging (Q2024462) (← links)
• Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-\(t\) models (Q2032222) (← links)
• Least squares model averaging based on generalized cross validation (Q2046232) (← links)
• Optimal designs for model averaging in non-nested models (Q2051020) (← links)
• Implicitly adaptive importance sampling (Q2058716) (← links)
• Price probabilities: a class of Bayesian and non-Bayesian prediction rules (Q2059056) (← links)
• Model averaging marginal regression for high dimensional conditional quantile prediction (Q2062406) (← links)
• Bayesian learning of stochastic dynamical models (Q2077593) (← links)
• RADIOHEAD: radiogenomic analysis incorporating tumor heterogeneity in imaging through densities (Q2078296) (← links)
• Predicting competitions by combining conditional logistic regression and subjective Bayes: an Academy Awards case study (Q2078331) (← links)
• Determinants of bank stability: evidence from Vietnam. A Bayesian approach (Q2086248) (← links)