B. Naughton

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom B. Naughton trusts overall

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

  1. Nicholas G. Polson
  2. Carlos M. Carvalho
  3. Chris Hans
  4. Philip J. Brown
  5. James G. Scott
  6. Trevor Park
  7. Jim E. Griffin
  8. Joyee Ghosh
  9. By P. Richard Hahn
  10. Stefan Schaal

Papers from B. Naughton's perspective

Ordered by how strongly the researchers B. Naughton trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The horseshoe estimator for sparse signals
  2. The Bayesian Lasso
  3. Bayesian lasso regression
  4. Computational approaches to motor learning by imitation.
  5. Spike and slab variable selection: Frequentist and Bayesian strategies
  6. Bayesian Variable Selection in Linear Regression
  7. Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction
  8. GENERALIZED DOUBLE PARETO SHRINKAGE. (Statistica sinica)
  9. Bayesian Wavelet Regression on Curves With Application to a Spectroscopic Calibration Problem
  10. Inference with normal-gamma prior distributions in regression problems

Their papers