Pages that link to "Item:Q4843992"
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The following pages link to Ridge Estimators in Logistic Regression (Q4843992):
Displaying 34 items.
- Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction (Q4629271) (← links)
- Efficient approximate <i>k</i>‐fold and leave‐one‐out cross‐validation for ridge regression (Q4917509) (← links)
- Sustainable Entrepreneurship on Thailand’s SMEs (Q5015958) (← links)
- Firth's penalized method in Cox proportional hazard framework for developing predictive models for sparse or heavily censored survival data (Q5033935) (← links)
- Sequential Learning of Regression Models by Penalized Estimation (Q5057097) (← links)
- Optimum shrinkage parameter selection for ridge type estimator of Tobit model (Q5065265) (← links)
- Identification of outlying and influential data with principal components regression estimation in binary logistic regression (Q5079063) (← links)
- Variable selection with group LASSO approach: Application to Cox regression with frailty model (Q5082578) (← links)
- Determining the optimal ridge parameter in logistic regression (Q5082798) (← links)
- Performance of the almost unbiased ridge-type principal component estimator in logistic regression model (Q5085072) (← links)
- Particle swarm optimization based ridge logistic estimator (Q5087991) (← links)
- Influence diagnostics in gamma ridge regression model (Q5107339) (← links)
- Ordinal ridge regression with categorical predictors (Q5126934) (← links)
- A new multicollinearity diagnostic for generalized linear models (Q5138141) (← links)
- Subject-specific modelling of paired comparison data: A lasso-type penalty approach (Q5142180) (← links)
- On the Restricted Liu Estimator in the Logistic Regression Model (Q5252818) (← links)
- EMPIRICAL EVALUATION OF CLASSIFIERS FOR SOFTWARE RISK MANAGEMENT (Q5305104) (← links)
- Noisy-or classifier (Q5469017) (← links)
- A new biased estimator in logistic regression model (Q5739661) (← links)
- Improved Estimation in Cumulative Link Models (Q5743267) (← links)
- A new alternative estimation method for Liu-type logistic estimator via particle swarm optimization: an application to data of collapse of Turkish commercial banks during the Asian financial crisis (Q5861190) (← links)
- Connectivity‐informed adaptive regularization for generalized outcomes (Q6059500) (← links)
- Mean squared error of ridge estimators in logistic regression (Q6067676) (← links)
- Recursive ridge regression using second-order stochastic algorithms (Q6071711) (← links)
- Some <i>r</i> – <i>k</i> class proportional hazard regression models in the presence of collinearity: an evidence from Indian infant mortality (Q6141701) (← links)
- A new estimator to control collinearity problems in correlated binary response (Q6204961) (← links)
- Modelling data-aware stochastic processes -- discovery and conformance checking (Q6535187) (← links)
- Penalized regression with ordinal predictors (Q6573838) (← links)
- Penalized logistic regression with prior information for microarray gene expression classification (Q6590277) (← links)
- Comparison of likelihood penalization and variance decomposition approaches for clinical prediction models: a simulation study (Q6625357) (← links)
- Penalized regression methods with modified cross-validation and bootstrap tuning produce better prediction models (Q6625494) (← links)
- Sample size considerations and predictive performance of multinomial logistic prediction models (Q6625984) (← links)
- Flexible co-data learning for high-dimensional prediction (Q6628290) (← links)
- A comparison of hyperparameter tuning procedures for clinical prediction models: a simulation study (Q6630355) (← links)
