Pages that link to "Item:Q3839585"
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The following pages link to On Measuring and Correcting the Effects of Data Mining and Model Selection (Q3839585):
Displaying 40 items.
- On the predictive risk in misspecified quantile regression (Q2330755) (← links)
- Generalized cross validation in variable selection with and without shrinkage (Q2343837) (← links)
- Data enriched linear regression (Q2346524) (← links)
- Efficient regularized isotonic regression with application to gene-gene interaction search (Q2428745) (← links)
- Optimal variance estimation without estimating the mean function (Q2435225) (← links)
- Measuring the prediction error. A comparison of cross-validation, bootstrap and covariance penalty methods (Q2445750) (← links)
- A new approach for selecting the number of factors (Q2445751) (← links)
- On the ``degrees of freedom'' of the lasso (Q2466686) (← links)
- On generalized degrees of freedom with application in linear mixed models selection (Q2631358) (← links)
- On improved loss estimation for shrinkage estimators (Q2634655) (← links)
- Selection model for domains across time: application to labour force survey by economic activities (Q2666041) (← links)
- Geometrically designed variable knot splines in generalized (non-)linear models (Q2673954) (← links)
- Model selection uncertainty and stability in beta regression models: a study of bootstrap-based model averaging with an empirical application to clickstream data (Q2686063) (← links)
- Selection strategy for covariance structure of random effects in linear mixed-effects models (Q2791840) (← links)
- Low Complexity Regularization of Linear Inverse Problems (Q2799919) (← links)
- Discussion of “From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation” (Q3304842) (← links)
- Combining Multiple Biomarker Models in Logistic Regression (Q3506487) (← links)
- Model Selection for Generalized Estimating Equations Accommodating Dropout Missingness (Q4911926) (← links)
- A likelihood‐based comparison of temporal models for physical processes (Q4969766) (← links)
- Bayesian P-spline estimation in hierarchical models specified by systems of affine differential equations (Q4970798) (← links)
- Small area mean estimation after effect clustering (Q5037044) (← links)
- False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data (Q5066491) (← links)
- Improving Reliability Estimation for Individual Numeric Predictions: A Machine Learning Approach (Q5084664) (← links)
- Computing AIC for black-box models using generalized degrees of freedom: A comparison with cross-validation (Q5084925) (← links)
- Model selection in regression based on pre-smoothing (Q5123630) (← links)
- Autoregressive model selection based on a prediction perspective (Q5127005) (← links)
- A method for choosing the smoothing parameter in a semi-parametric model for detecting change-points in blood flow (Q5128556) (← links)
- Adaptive order selection for autoregressive models (Q5219452) (← links)
- Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE? (Q5231498) (← links)
- CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration (Q5266374) (← links)
- PARSIMONIOUS PARAMETERIZATION OF AGE-PERIOD-COHORT MODELS BY BAYESIAN SHRINKAGE (Q5745189) (← links)
- Prediction errors for penalized regressions based on generalized approximate message passing (Q5879248) (← links)
- A discussion of prior-based Bayesian information criterion (PBIC) (Q5879982) (← links)
- Statistical significance of the Netflix challenge (Q5962690) (← links)
- The truth about the effective dimension (Q6089172) (← links)
- Criterion constrained Bayesian hierarchical models (Q6169915) (← links)
- A Unified Approach to Variable Selection for Partially Linear Models (Q6552549) (← links)
- Supervised structural learning of semiparametric regression on high-dimensional correlated covariates with applications to eQTL studies (Q6626836) (← links)
- Can’t Ridge Regression Perform Variable Selection? (Q6631887) (← links)
- A Bayesian view of model complexity (Q6647313) (← links)