Ya-Mei Chang

Applied Mathematics · 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 Ya-Mei Chang trusts overall

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

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

Papers from Ya-Mei Chang's perspective

Ordered by how strongly the researchers Ya-Mei Chang 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