Yong Song

Applied Mathematics · with Baddeley · 2012

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Song trusts overall

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

  1. Adrian Baddeley
  2. William S. Cleveland
  3. Yongtao Guan

Papers from Yong Song's perspective

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

  1. Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns
  2. Robust Locally Weighted Regression and Smoothing Scatterplots
  3. spatstat: An R Package for Analyzing Spatial Point Patterns
  4. Local Regression and Likelihood
  5. A Kernel Method for Smoothing Point Process Data
  6. Spatial logistic regression and change-of-support in Poisson point processes
  7. On Consistent Nonparametric Intensity Estimation for Inhomogeneous Spatial Point Processes
  8. Correction note: Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology
  9. Statistical Analysis of Spatial Point Patterns (Technometrics)
  10. Shot noise Cox processes (Advances in Applied Probability)

Their papers