Fast Bayesian inference for modeling multivariate crash counts
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[1] W A Boehly. THE SAFETY AND FUEL ECONOMY PERFORMANCE OF THE NHTSA'S (NATIONAL HIGHWAY TRAFFIC SAFETY ADMINISTRATION) RESEARCH SAFETY VEHICLES , 1980 .
[2] P. McCullagh,et al. Generalized Linear Models , 1984 .
[3] N. Breslow. Extra‐Poisson Variation in Log‐Linear Models , 1984 .
[4] A. Cameron,et al. Econometric models based on count data. Comparisons and applications of some estimators and tests , 1986 .
[5] J. Aitchison,et al. The multivariate Poisson-log normal distribution , 1989 .
[6] G. King,et al. A Seemingly Unrelated Poisson Regression Model , 1989 .
[7] A. Agresti,et al. Categorical Data Analysis , 1991, International Encyclopedia of Statistical Science.
[8] Bhagwant Persaud,et al. ACCIDENT PREDICTION MODELS FOR FREEWAYS , 1993 .
[9] J F Kraus,et al. Epidemiological aspects of fatal and severe injury urban freeway crashes. , 1993, Accident; analysis and prevention.
[10] F Mannering,et al. Statistical analysis of accident severity on rural freeways. , 1996, Accident; analysis and prevention.
[11] Fred L. Mannering,et al. Negative binomial analysis of intersection accident frequencies , 1996 .
[12] Ezra Hauer,et al. OBSERVATIONAL BEFORE-AFTER STUDIES IN ROAD SAFETY -- ESTIMATING THE EFFECT OF HIGHWAY AND TRAFFIC ENGINEERING MEASURES ON ROAD SAFETY , 1997 .
[13] J. Ivan,et al. Explaining two-lane highway crash rates using land use and hourly exposure. , 2000, Accident; analysis and prevention.
[14] E Hauer,et al. Overdispersion in modelling accidents on road sections and in empirical bayes estimation. , 2001, Accident; analysis and prevention.
[15] S. Chib,et al. Markov Chain Monte Carlo Analysis of Correlated Count Data , 2001 .
[16] Dongchu Sun,et al. Lognormal vs. Gamma: Extra Variations , 2002 .
[17] Shaw-Pin Miaou,et al. Modeling Traffic Crash-Flow Relationships for Intersections: Dispersion Parameter, Functional Form, and Bayes Versus Empirical Bayes Methods , 2003 .
[18] Wilfred W Recker,et al. Freeway safety as a function of traffic flow. , 2002, Accident; analysis and prevention.
[19] Jutaek Oh,et al. Forecasting Crashes at the Planning Level: Simultaneous Negative Binomial Crash Model Applied in Tucson, Arizona , 2004 .
[20] Loukia Meligkotsidou,et al. Multivariate Poisson regression with covariance structure , 2005, Stat. Comput..
[21] K. Kockelman,et al. Bayesian Multivariate Poisson Regression for Models of Injury Count, by Severity , 2006 .
[22] Eun Sug Park,et al. Multivariate Poisson-Lognormal Models for Jointly Modeling Crash Frequency by Severity , 2007 .
[23] H. Rue,et al. Approximate Bayesian inference for hierarchical Gaussian Markov random field models , 2007 .
[24] John N. Ivan,et al. Methodology to predict the safety performance of rural multilane highways [Final Report for NCHRP Project 17-29] , 2008 .
[25] Paul Damien,et al. A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods. , 2008, Accident; analysis and prevention.
[26] H. Rue,et al. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations , 2009 .
[27] K. El-Basyouny,et al. Collision prediction models using multivariate Poisson-lognormal regression. , 2009, Accident; analysis and prevention.
[28] Srinivas R. Geedipally,et al. Examination of Methods to Estimate Crash Counts by Collision Type , 2010 .
[29] Salvatore Antonio Biancardo,et al. Risk-type density diagrams by crash type on two-lane rural roads , 2013 .
[30] Chandra R. Bhat,et al. On Accommodating Spatial Dependence in Bicycle and Pedestrian Injury Counts by Severity Level , 2013 .
[31] M. Willig,et al. Hierarchical dynamic models for multivariate times series of counts , 2014 .
[32] N. Ravishanker,et al. Dynamic compositional modeling of pedestrian crash counts on urban roads in Connecticut. , 2014, Accident; analysis and prevention.
[33] Chandra R. Bhat,et al. Analytic methods in accident research: Methodological frontier and future directions , 2014 .
[34] Volodymyr Serhiyenko,et al. Dynamic Modeling of Multivariate Counts - Fitting, Diagnostics, and Applications , 2015 .