Binbin Lu
Economics and Econometrics · 2011–2014
A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 30 citations into it
- Statistics and Probability — 9 citations into it
- Transportation — 8 citations into it
- Environmental Engineering — 6 citations into it
- Global and Planetary Change — 6 citations into it
Whom Binbin Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David C. Wheeler
- Chris Brunsdon
- William S. Cleveland
- Mark D. Partridge
- Adrian W. Bowman
- Paul Harris
- Martin Charlton
- Arthur Getis
- Roger S. Bivand
- S. Fotheringham
Who trusts Binbin Lu overall
Papers from Binbin Lu's perspective
Ordered by how strongly the researchers Binbin Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- Simultaneous Coefficient Penalization and Model Selection in Geographically Weighted Regression: The Geographically Weighted Lasso
- Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor
- Multicollinearity and correlation among local regression coefficients in geographically weighted regression (Journal of Geographical Systems)
- Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity
- A General Framework for Estimation and Inference of Geographically Weighted Regression Models: 1. Location-Specific Kernel Bandwidths and a Test for Locational Heterogeneity
- Can Geographically Weighted Regressions Improve Regional Analysis and Policy Making?
- Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
Their papers
- GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models (2013) — 582 citations
- Geographically Weighted Regression Using a Non-Euclidean Distance Metric with a Study on London House Price Data (2011) — 98 citations
- Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data (2014) — 375 citations