J. Bobb

Statistics and Probability · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Bobb trusts overall

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

  1. Robert Tibshirani
  2. Andrew Gelman
  3. Sudipto Banerjee
  4. Donald B. Rubin
  5. H. Muller
  6. Philip T. Reiss
  7. Alan E. Gelfand
  8. Trevor J. Hastie

Who trusts J. Bobb overall

  1. Gina‐Maria Pomann
  2. Sarah Brockhaus

Papers from J. Bobb's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. Inference from Iterative Simulation Using Multiple Sequences
  3. Gaussian predictive process models for large spatial data sets (Journal of The Royal Statistical Society Series B-statistical Methodology)
  4. Generalized functional linear models
  5. Functional Principal Component Regression and Functional Partial Least Squares
  6. Estimating the Dimension of a Model
  7. The Elements of Statistical Learning
  8. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  9. Smoothing Spline Anova Models
  10. Generalized Additive Models

Their papers