Pages that link to "Item:Q1926754"
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The following pages link to Bayesian variable selection in generalized linear models using a combination of stochastic optimization methods (Q1926754):
Displaying 7 items.
- Optimum attributes component test plans for \(k\)-out-of-\(n:F\) Weibull systems using prior information (Q300038) (← links)
- Bayesian variable selection for high dimensional generalized linear models: convergence rates of the fitted densities (Q2456008) (← links)
- Bayesian variable selection and computation for generalized linear models with conjugate priors (Q2634533) (← links)
- Variable selection and dependency networks for genomewide data (Q3304982) (← links)
- Bayesian adaptive lasso with variational Bayes for variable selection in high-dimensional generalized linear mixed models (Q5086169) (← links)
- Comparing Stochastic Optimization Methods for Variable Selection in Binary Outcome Prediction, With Application to Health Policy (Q5414012) (← links)
- (Q5434041) (← links)
