Terrance D. Savitsky

Statistics and Probability · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Terrance D. Savitsky trusts overall

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

  1. Subhashis Ghosal
  2. Danny Pfeffermann
  3. Roderick J. A. Little
  4. Iain Murray
  5. Qi Dong
  6. A. van der Vaart
  7. Michail Sverchkov
  8. Jayanta Kumar Ghosh
  9. Ryan P. Adams
  10. Michael R. Elliott

Papers from Terrance D. Savitsky's perspective

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

  1. To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
  2. Convergence rates of posterior distributions
  3. Multi-level modelling under informative sampling
  4. Convergence rates of posterior distributions for non-i.i.d. observations
  5. Elliptical slice sampling (International Conference on Artificial Intelligence and Statistics)
  6. Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage
  7. A nonparametric method to generate synthetic populations to adjust for complex sampling design features
  8. Weighted Likelihood for Semiparametric Models and Two‐phase Stratified Samples, with Application to Cox Regression
  9. Inference under informative sampling
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers