D. Lord
Statistics and Probability · 2000–2018
A researcher in the Science corpus: 16 papers; trusts 30 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 29 citations into it; #7,721 of 12,932 by trust here, #6,853 by citations
- Safety, Risk, Reliability and Quality — 28 citations into it; #42 of 1,220 by trust here, #38 by citations
- Transportation — 17 citations into it; #1,732 of 2,062 by trust here, #1,495 by citations
- Artificial Intelligence — 16 citations into it
- Economics and Econometrics — 12 citations into it
- Public Health, Environmental and Occupational Health — 8 citations into it; #743 of 2,368 by trust here, #923 by citations
- Building and Construction — 6 citations into it; #351 of 2,909 by trust here, #692 by citations
- Pulmonary and Respiratory Medicine — 6 citations into it; #299 of 770 by trust here, #594 by citations
Whom D. Lord trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diane Lambert
- Q. Vuong
- D. Heilbron
- Stuart G. Baker
- Yajie Zou
- K. Liang
- Efthymios G. Tsionas
- Russell B. Millar
- Panagiotis Ch. Anastasopoulos
- Radford M. Neal
Who trusts D. Lord overall
- Yajie Zou
- S. Geedipally
- Yuanchang Xie
- Fred L. Mannering
- Jonathan Aguero-Valverde
- P. Vangala
- Yunlong Zhang
- Xin Zou
- Chenhui Liu
- Karim El-Basyouny
Papers from D. Lord's perspective
Ordered by how strongly the researchers D. Lord trusts endorse each paper. Same corpus, a different order for every researcher.
- A note on modeling vehicle accident frequencies with random-parameters count models. (Accident Analysis and Prevention)
- Negative Binomial Regression: Preface
- Bayesian measures of model complexity and fit
- Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory. (Accident Analysis and Prevention)
- Analyzing different functional forms of the varying weight parameter for finite mixture of negative binomial regression models
- Finite Mixture and Markov Switching Models
- The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. (Accident Analysis and Prevention)
- Copula-Based Approach to Accommodate Residential Self-Selection Effects in Travel Behavior Modeling
- Analysis of Long-Tailed Count Data by Poisson Mixtures
- A latent variable representation of count data models to accommodate spatial and temporal dependence: application to predicting crash frequency at intersections
Their papers
- Multivariate Poisson-Lognormal Models for Jointly Modeling Crash Frequency by Severity (2007) — 328 citations
- Modeling over-dispersed crash data with a long tail: Examining the accuracy of the dispersion parameter in Negative Binomial models (2015) — 70 citations
- Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data (2018) — 70 citations
- Exploring the application of the negative binomial-generalized exponential model for analyzing traffic crash data with excess zeros (2015) — 50 citations
- Analyzing different functional forms of the varying weight parameter for finite mixture of negative binomial regression models (2014) — 60 citations
- Comparison of Sichel and Negative Binomial Models in Estimating Empirical Bayes Estimates (2013) — 47 citations
- Investigation of Effects of Underreporting Crash Data on Three Commonly Used Traffic Crash Severity Models (2011) — 148 citations
- The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. (2011) — 994 citations
- Examination of Methods to Estimate Crash Counts by Collision Type (2010) — 46 citations
- Horizontal Curve Accident Modification Factor with Consideration of Driveway Density on Rural Four-Lane Highways in Texas (2010) — 48 citations
- Effects of Varying Dispersion Parameter of Poisson–Gamma Models on Estimation of Confidence Intervals of Crash Prediction Models (2008) — 52 citations
- Predicting motor vehicle crashes using Support Vector Machine models. (2008) — 332 citations
- Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory. (2005) — 924 citations
- Modeling Traffic Crash-Flow Relationships for Intersections: Dispersion Parameter, Functional Form, and Bayes Versus Empirical Bayes Methods (2003) — 410 citations
- Safety Effect of Roundabout Conversions in the United States: Empirical Bayes Observational Before-After Study (2001) — 349 citations
- Accident Prediction Models With and Without Trend: Application of the Generalized Estimating Equations Procedure (2000) — 297 citations