The following pages link to glmnet (Q20169):
Displaying 50 items.
- Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression (Q5155200) (← links)
- Simultaneous estimation of normal means with side information (Q5155201) (← links)
- Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models (Q5157108) (← links)
- The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty (Q5162621) (← links)
- Two Symmetrized Coordinate Descent Methods Can Be $O(n^2)$ Times Slower Than the Randomized Version (Q5162659) (← links)
- PROBABILISTIC GRAPHICAL MODELLING OF CAUSAL EFFECTS AMONG THE OCCURRENCES OF TRANSCRIPTION FACTORS IN DNA SEQUENCE (Q5204772) (← links)
- Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes (Q5206142) (← links)
- Hands-On Machine Learning with R (Q5206307) (← links)
- (Q5211853) (← links)
- High-dimensional linear model selection motivated by multiple testing (Q5213362) (← links)
- (Q5214180) (← links)
- (Q5214199) (← links)
- Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach (Q5214369) (← links)
- A coordinate majorization descent algorithm for ℓ<sub>1</sub>penalized learning (Q5219208) (← links)
- Model selection and parameter estimation of a multinomial logistic regression model (Q5219998) (← links)
- Regularized proportional odds models (Q5220716) (← links)
- Model-averaged ℓ<sub>1</sub>regularization using Markov chain Monte Carlo model composition (Q5220776) (← links)
- Variable selection models based on multiple imputation with an application for predicting median effective dose and maximum effect (Q5220835) (← links)
- An iterative approach to distance correlation-based sure independence screening (Q5220866) (← links)
- Multi-step adaptive elastic-net: reducing false positives in high-dimensional variable selection (Q5220939) (← links)
- Simple expressions of the LASSO and SLOPE estimators in low-dimension (Q5222210) (← links)
- Multiple Influential Point Detection in High Dimensional Regression Spaces (Q5234406) (← links)
- Sparse Bayesian Imaging of Solar Flares (Q5236645) (← links)
- Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets (Q5242448) (← links)
- Skinny Gibbs: A Consistent and Scalable Gibbs Sampler for Model Selection (Q5242469) (← links)
- Sparse low-rank separated representation models for learning from data (Q5243616) (← links)
- Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion (Q5251927) (← links)
- Variable selection for inhomogeneous spatial point process models (Q5256382) (← links)
- Linear Regression via Elastic Net: Non-enumerative Leave-One-Out Verification of Feature Selection (Q5270634) (← links)
- Identification of biomarker‐by‐treatment interactions in randomized clinical trials with survival outcomes and high‐dimensional spaces (Q5280185) (← links)
- Testing Shape Constraints in Lasso Regularized Joinpoint Regression (Q5283083) (← links)
- Oracle M‐Estimation for Time Series Models (Q5346585) (← links)
- Cyclic Coordinate-Update Algorithms for Fixed-Point Problems: Analysis and Applications (Q5348257) (← links)
- Model order reduction using sparse coding exemplified for the lid-driven cavity (Q5360539) (← links)
- Nonlinear Time Series Analysis with R (Q5366875) (← links)
- Likelihood Methods for Point Processes with Refractoriness (Q5378320) (← links)
- UNIFORM INFERENCE IN HIGH-DIMENSIONAL DYNAMIC PANEL DATA MODELS WITH APPROXIMATELY SPARSE FIXED EFFECTS (Q5378498) (← links)
- An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models (Q5391149) (← links)
- High-dimensional covariance estimation based on Gaussian graphical models (Q5396716) (← links)
- (Q5405181) (← links)
- Multiple Self‐Controlled Case Series for Large‐Scale Longitudinal Observational Databases (Q5408010) (← links)
- Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization (Q5413947) (← links)
- Overfitting, generalization, and MSE in class probability estimation with high‐dimensional data (Q5416417) (← links)
- Including network knowledge into Cox regression models for biomarker signature discovery (Q5416420) (← links)
- Empirical comparison study of approximate methods for structure selection in binary graphical models (Q5416424) (← links)
- (Q5502121) (← links)
- Bayesian inference for high‐dimensional linear regression under mnet priors (Q5507353) (← links)
- Bayesian predictive modeling for genomic based personalized treatment selection (Q5739285) (← links)
- (Q5744793) (← links)
- (Q5744796) (← links)
