MS Laura Ruth Venable

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom MS Laura Ruth Venable trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ewout W. Steyerberg
  2. Robert Tibshirani
  3. James Franklin
  4. Miron Bartosz Kursa
  5. T. van der Ploeg
  6. Lipo Wang
  7. Robin Genuer
  8. Zhixiang Eddie Xu

Papers from MS Laura Ruth Venable's perspective

Ordered by how strongly the researchers MS Laura Ruth Venable trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Regression Shrinkage and Selection via the Lasso
  2. Bias in random forest variable importance measures: Illustrations, sources and a solution
  3. Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints (BMC Medical Research Methodology)
  4. Feature Selection with the Boruta Package
  5. The elements of statistical learning: data mining, inference and prediction
  6. Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards (Critical Care Medicine)
  7. R: A language and environment for statistical computing.
  8. APACHE II: a severity of disease classification system.
  9. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  10. Feature selection methods for big data bioinformatics: A survey from the search perspective. (Methods)

Their papers