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.

• Frequentist model averaging in structure equation model with ordinal data (Q2088934) (← links)
• Generalized integral transform and Hamiltonian Monte Carlo for Bayesian structural damage identification (Q2109785) (← links)
• Mallows model averaging estimation for linear regression model with right censored data (Q2115208) (← links)
• Pattern graphs: a graphical approach to nonmonotone missing data (Q2119222) (← links)
• Model averaging estimation for varying-coefficient single-index models (Q2121204) (← links)
• Model-guided adaptive sampling for Bayesian model selection (Q2131962) (← links)
• Model averaging for interval-valued data (Q2140226) (← links)
• Guest editors' introduction to the special issue ``Network psychometrics in action'': methodological innovations inspired by empirical problems (Q2141631) (← links)
• Mallows model averaging with effective model size in fragmentary data prediction (Q2143019) (← links)
• Learning and predicting from dynamic models for COVID-19 patient monitoring (Q2143952) (← links)
• Semiparametric model averaging prediction for dichotomous response (Q2155291) (← links)
• On improvability of model selection by model averaging (Q2155292) (← links)
• Real-time Bayesian learning and bond return predictability (Q2155310) (← links)
• XVA metrics for CCP optimization (Q2173275) (← links)
• Bayesian model-scenario averaged predictions of compressor cascade flows under uncertain turbulence models (Q2176864) (← links)
• Detangling robustness in high dimensions: composite versus model-averaged estimation (Q2192312) (← links)
• Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics (Q2195280) (← links)
• Asymptotic optimality of the nonnegative garrote estimator under heteroscedastic errors (Q2200114) (← links)
• Mixture modeling of data with multiple partial right-censoring levels (Q2201324) (← links)
• When and when not to use optimal model averaging (Q2208423) (← links)
• Comparative study of differentially private data synthesis methods (Q2218047) (← links)
• A loss-based prior for variable selection in linear regression methods (Q2226693) (← links)
• Efficient Bayesian model choice for partially observed processes: with application to an experimental transmission study of an infectious disease (Q2226713) (← links)
• Informed reversible jump algorithms (Q2233560) (← links)
• Multimodel inference based on smoothed information criteria (Q2243571) (← links)
• What belongs where? Variable selection for zero-inflated count models with an application to the demand for health care (Q2259202) (← links)
• A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics (Q2259821) (← links)
• Mastitis in dairy production: estimation of sensitivity, specificity and disease prevalence in the absence of a gold standard (Q2259971) (← links)
• A Bayesian model for presence-only semicontinuous data, with application to~prediction of abundance of \textit{Taxus Baccata} in two Italian regions (Q2261012) (← links)
• Climate projections using Bayesian model averaging and space-time dependence (Q2261051) (← links)
• Bayesian variable selection using cost-adjusted BIC, with application to cost-effective measurement of quality of health care (Q2270666) (← links)
• Statistical methods for automated drug susceptibility testing: Bayesian minimum inhibitory concentration prediction from growth curves (Q2270670) (← links)
• Rejoinder on ``Data science, big data and statistics'' (Q2273157) (← links)
• Corrected Mallows criterion for model averaging (Q2291344) (← links)
• A unified view on patch aggregation (Q2303266) (← links)
• Strong model dependence in statistical analysis: goodness of fit is not enough for model choice (Q2304248) (← links)
• The effect of prior probabilities on quantification and propagation of imprecise probabilities resulting from small datasets (Q2310925) (← links)
• On the use of Bayesian model averaging for covariate selection in epidemiological modeling (Q2320835) (← links)
• Large-scale portfolio allocation under transaction costs and model uncertainty (Q2323379) (← links)
• The parameter Houlihan: a solution to high-throughput identifiability indeterminacy for brutally ill-posed problems (Q2328494) (← links)
• Model-based clustering with sparse covariance matrices (Q2329799) (← links)
• Nonparametric additive beta regression for fractional response with application to body fat data (Q2329907) (← links)
• Frequentist model averaging in structural equation modelling (Q2331145) (← links)
• A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling (Q2331157) (← links)
• Bayesian comparison of latent variable models: conditional versus marginal likelihoods (Q2331200) (← links)
• Model averaging estimation of generalized linear models with imputed covariates (Q2343756) (← links)
• Distribution theory of the least squares averaging estimator (Q2346023) (← links)
• Evaluating predictors of dispersion: a comparison of dominance analysis and Bayesian model averaging (Q2348196) (← links)
• Jackknife model averaging for quantile regressions (Q2354857) (← links)
• Bayesian model averaging of possibly similar nonparametric densities (Q2358922) (← links)