Changlin Mei
Computational Theory and Mathematics · 2000–2016
A researcher in the Science corpus: 7 papers; trusts 13 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 21 citations into it
- Artificial Intelligence — 13 citations into it
- Economics and Econometrics — 12 citations into it; #3,383 of 23,481 by trust here, #5,828 by citations
- Statistics and Probability — 6 citations into it
- Global and Planetary Change — 5 citations into it; #1,581 of 10,225 by trust here, #4,014 by citations
Whom Changlin Mei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yee Leung
- Bradley Efron
- Adrian W. Bowman
- Trevor J. Hastie
- William S. Cleveland
- Wenxiu Zhang
- Tomoki Nakaya
- Robert Tibshirani
- W. Härdle
- Matt P. Wand
Who trusts Changlin Mei overall
- Marco Helbich
- Jingru Mu
- Danlin Yu
- Ning Wang
- Antonio Páez
- Wolfgang A. Brunauer
- Guannan Wang
- Michael Löchl
- David Wheeler
- Mariusz Szymanowski
Papers from Changlin Mei's perspective
Ordered by how strongly the researchers Changlin Mei trusts endorse each paper. Same corpus, a different order for every researcher.
- Kernel Smoothing
- An alternative method of cross-validation for the smoothing of density estimates
- Bootstrap Methods: Another Look at the Jackknife
- Bootstrap Methods: Another Look at the Jackknife
- Kendall's advanced theory of statistics
- Do spatial effects really matter in regression analysis
- A Comparative Study of Formal Concept Analysis and Rough Set Theory in Data Analysis (Rough Sets and Current Trends in Computing)
- A General Framework for Estimation and Inference of Geographically Weighted Regression Models: 1. Location-Specific Kernel Bandwidths and a Test for Locational Heterogeneity
- Et al
- Rough Sets (Database Technologies: Concepts, Methodologies, Tools, and Applications)
Their papers
- Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model (2000) — 490 citations
- Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression (2000) — 151 citations
- Testing the Importance of the Explanatory Variables in a Mixed Geographically Weighted Regression Model (2006) — 98 citations
- Local Linear Estimation of Spatially Varying Coefficient Models: An Improvement on the Geographically Weighted Regression Technique (2008) — 76 citations
- Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy (2016) — 336 citations
- Concept learning via granular computing: A cognitive viewpoint (2014) — 296 citations
- A Note on the Mixed Geographically Weighted Regression Model (2004) — 83 citations