The following pages link to Adaptive Regression by Mixing (Q4419445):
Displaying 19 items.
- Model averaging for semiparametric varying coefficient quantile regression models (Q6173731) (← links)
- A Scalable Frequentist Model Averaging Method (Q6190734) (← links)
- Prediction Using Many Samples with Models Possibly Containing Partially Shared Parameters (Q6190780) (← links)
- An averaging estimator for two-step m-estimation in semiparametric models (Q6536817) (← links)
- Mallows model averaging based on kernel regression imputation with responses missing at random (Q6541929) (← links)
- Mean-variance efficient large portfolios: a simple machine learning heuristic technique based on the two-fund separation theorem (Q6547041) (← links)
- The art of transfer learning: an adaptive and robust pipeline (Q6548831) (← links)
- Cross-estimation for decision selection (Q6578156) (← links)
- Kernel Averaging Estimators (Q6586895) (← links)
- Jackknife model averaging for composite quantile regression (Q6595050) (← links)
- Information criteria for model selection (Q6602021) (← links)
- Focused Information Criterion and Model Averaging for Large Panels With a Multifactor Error Structure (Q6617736) (← links)
- Martingale-residual-based greedy model averaging for high-dimensional current status data (Q6618463) (← links)
- Model Averaging for Nonlinear Regression Models (Q6620902) (← links)
- Instrumental variable model average with applications in Mendelian randomization (Q6626879) (← links)
- Network Estimation by Mixing: Adaptivity and More (Q6631716) (← links)
- Model Averaging for Prediction With Fragmentary Data (Q6634885) (← links)
- Model averaging: a shrinkage perspective (Q6635565) (← links)
- Focused estimation and model averaging with penalization methods: an overview (Q6647314) (← links)
