Alexander Silbersdorff

Statistics and Probability · 2021

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

Subfields

Whom Alexander Silbersdorff trusts

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

  1. Thomas Kneib (in Statistics and Probability)

Papers from Alexander Silbersdorff's perspective

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

  1. Generalized Linear Models
  2. Quantile Regression
  3. Generalized Additive Models
  4. Generalized Additive Models: An Introduction With R
  5. Regression Shrinkage and Selection via the Lasso
  6. PENALIZED STRUCTURED ADDITIVE REGRESSION FOR SPACE-TIME DATA: A BAYESIAN PERSPECTIVE
  7. Bayesian inference for generalized additive mixed models based on Markov random field priors
  8. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  9. Generalized Additive Models for Location Scale and Shape (GAMLSS) in R
  10. A Practical Guide to Splines

Their papers