Steven Farber
Economics and Econometrics · 2006–2019
A researcher in the Science corpus: 5 papers; trusts 16 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 37 citations into it; #12,658 of 23,481 by trust here, #14,996 by citations
- Transportation — 37 citations into it; #1,238 of 2,062 by trust here, #1,584 by citations
Whom Steven Farber trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David C. Wheeler
- William S. Cleveland
- Daniel A. Griffith
- Daniel P. McMillen
- David Wheeler
- Xinyu Cao
- Andrey Pavlov
- Joan L. Walker
- Hirotogu Akaike
- Patricia L. Mokhtarian
Who trusts Steven Farber overall
- Michael Löchl
- Antonio Páez
- Kay W. Axhausen
- Jin Li
- Gengyang Tu
- Marco Helbich
- Hengyun Li
- David C. Wheeler
- Isabella Gollini
Papers from Steven Farber's perspective
Ordered by how strongly the researchers Steven Farber trusts endorse each paper. Same corpus, a different order for every researcher.
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model
- 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
- Spatial Modeling With Spatially Varying Coefficient Processes (Journal of the American Statistical Association)
- Multicollinearity and correlation among local regression coefficients in geographically weighted regression (Journal of Geographical Systems)
- Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)
- Examining the impacts of residential self-selection on travel behavior: A focus on methodologies
- Latent lifestyle preferences and household location decisions (Journal of Geographical Systems)
- Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor
Their papers
- A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships (2011) — 236 citations
- Trip generation of vulnerable populations in three Canadian cities: a spatial ordered probit approach (2010) — 126 citations
- Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis (2015) — 132 citations
- Sizing up transport poverty: A national scale accounting of low-income households suffering from inaccessibility in Canada, and what to do about it (2019) — 146 citations
- A Comparison of Localized Regression Models in a Hedonic House Price Context (2006) — 87 citations