Antonio Páez
Economics and Econometrics · 2002–2012
A researcher in the Science corpus: 12 papers; trusts 30 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 61 citations into it; #3,679 of 23,481 by trust here, #4,390 by citations
- Transportation — 56 citations into it; #224 of 2,062 by trust here, #165 by citations
- Sociology and Political Science — 20 citations into it; #16,971 of 22,756 by trust here, #20,051 by citations
- Automotive Engineering — 11 citations into it; #2,778 of 3,081 by trust here, #2,938 by citations
- Global and Planetary Change — 9 citations into it; #7,187 of 10,225 by trust here, #8,506 by citations
- Physical Therapy, Sports Therapy and Rehabilitation — 7 citations into it
Whom Antonio Páez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel P. McMillen
- William S. Cleveland
- David C. Wheeler
- Mei-Po Kwan
- Daniel A. Griffith
- Stanley Wasserman
- Chandra R. Bhat
- Mark W. Horner
- Murtaza Haider
- David Wheeler
Who trusts Antonio Páez overall
- David C. Wheeler
- David Vale
- Giles M. Foody
- F. Goetzke
- J. De Vos
- Mauro F. Pereira
- Jin Li
- R. H. M. Pereira
- Oliver Smith
- Bo Huang
Papers from Antonio Páez's perspective
Ordered by how strongly the researchers Antonio Páez trusts endorse each paper. Same corpus, a different order for every researcher.
- Robust Locally Weighted Regression and Smoothing Scatterplots
- 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)
- Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)
- Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor
- Can Geographically Weighted Regressions Improve Regional Analysis and Policy Making?
- Spatial Autocorrelation Or Model Misspecification?
- A Comparison of Localized Regression Models in a Hedonic House Price Context
- Local Linear Estimation of Spatially Varying Coefficient Models: An Improvement on the Geographically Weighted Regression Technique
Their papers
- Spatial statistics for urban analysis: A review of techniques with examples (2004) — 380 citations
- A General Framework for Estimation and Inference of Geographically Weighted Regression Models: 1. Location-Specific Kernel Bandwidths and a Test for Locational Heterogeneity (2002) — 210 citations
- A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships (2011) — 236 citations
- Enjoyment of commute: A comparison of different transportation modes (2010) — 311 citations
- Trip generation of vulnerable populations in three Canadian cities: a spatial ordered probit approach (2010) — 126 citations
- Why do you care what other people think? A qualitative investigation of social influence and telecommuting (2011) — 106 citations
- Transportation Infrastructure Impacts on Firm Location: The Effect of a New Metro Line in the Suburbs of Madrid (2012) — 137 citations
- Measuring accessibility: positive and normative implementations of various accessibility indicators (2012) — 708 citations
- Accessibility to transit, by transit, and mode share: application of a logistic model with spatial filters (2012) — 149 citations
- Geographically Weighted Regression (2010) — 83 citations
- The mobility of older people - an introduction (2010) — 195 citations
- A Discrete-Choice Approach to Modeling Social Influence on Individual Decision Making (2008) — 143 citations