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A Spatial Autoregressive Quantile Regression to Examine Quantile Effects of Regional Factors on Crash Rates
2021
Sensors
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Previous studies commonly focus on the spatial autocorrelation between adjacent regions or the relationships between crash rate and potentially risky factors across different quantiles of crash rate distribution ...
To overcome the research gap, this study utilizes the spatial autoregressive quantile (SARQ) model to estimate how contributing factors influence the total and fatal-plus-injury crash rates and how modelling ...
how the regional factors influenced the crash rates changed with the number of crash rates using a spatial autoregressive quantile (SARQ) model. ...
doi:10.3390/s22010005
pmid:35009547
pmcid:PMC8747712
fatcat:4zubucsiqbhjna4dum7uc53zqy
Crash rates analysis in China using a spatial panel model
2017
IATSS Research
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Yet, the quasi-totality of spatial dependence studies on crash rates is performed within the framework of single-equation spatial cross-sectional studies. ...
The spatial and error lags are all positive and statistically significant suggesting similarities of crash rates pattern in neighboring regions. ...
Acknowledgments The authors are very thankful to the anonymous reviewers for their invaluable comments and suggestions to improve the content and presentation of the manuscript. ...
doi:10.1016/j.iatssr.2016.11.001
fatcat:tnwaamt2yvdlpkk75zedpe43b4
Economic Downturn, Change in Unemployment, and the Midwest: A Quantile Regression Approach
2022
The Review of Regional Studies
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We use a quantile regression approach to examine the tails of the distribution of change in unemployment rates between 2006 and 2009 across all counties in the Midwest. ...
Likewise, local labor mobility has amplifying effects on the change in unemployment rates, while educational attainment has a moderating effect. ...
, i.e., spatial quantile regression. ...
doi:10.52324/001c.34680
fatcat:rp3tn4kfbbdfpowdcw7z34c66u
Environmental and historical constraints on global patterns of amphibian richness
2007
Proceedings of the Royal Society of London. Biological Sciences
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We present a global analysis of contemporary environmental and historical constraints on amphibian richness, the first for an ectotherm clade at this scale. ...
Amphibians are presumed to experience environmental constraints distinct from those of better studied endothermic taxa due to their stringent water requirements and the temperature dependence of their ...
Bivariate plots of environmental effects on richness across 40 315 equal area quadrats equivalent to 0.58 size covering the world except islands showing 10, 50 and 90% quantile regressions. ...
doi:10.1098/rspb.2006.0436
pmid:17327208
pmcid:PMC2189569
fatcat:qg5lgidt3vhpdg43eewkkchbs4
Exploring spatio-temporal effects in traffic crash trend analysis
2017
Analytic Methods in Accident Research
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In this study, we used Bayesian spatio-temporal models to investigate regional crash frequency trends, and explored the effects of omitting spatial or temporal trends in spatio-temporal correlated data ...
Although many studies have included either spatial or temporal effects in crash frequency modeling, only a limited number of studies have considered both. ...
No explanatory factors, except VMT, were found to have a significant influence on fatal crash frequencies. ...
doi:10.1016/j.amar.2017.09.002
fatcat:w7ywviulefcnvafd4jhneeh4ay
Migration in Spain: The Role of Cultural Diversity Revisited
2021
Politics and Governance
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To do that, we use panel data techniques that treat cultural diversity as an endogenous variable and account for spatial linkages. ...
The dual nature of immigrants in Spain, that is, working and retired migration, is also considered in our regressions. ...
Acknowledgments Authors would like to thank the Universitat Jaume I (UJI-B2020-57) for their financial support. ...
doi:10.17645/pag.v9i4.4458
fatcat:iyeipot4c5fhphdfb5rew625hy
Exploring the Influences of Point-of-Interest on Traffic Crashes during Weekdays and Weekends via Multi-Scale Geographically Weighted Regression
2021
ISPRS International Journal of Geo-Information
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Some studies on the impact of traditional land use factors on traffic crashes do not take into account the limitations of spatial heterogeneity and spatial scale. ...
of different influencing factors, to explore the influence of reclassified points-of-interest (POI) on traffic crashes occurring on weekdays and weekends. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijgi10110791
fatcat:bp5vbiugzbg7xlw6ovkigjzky4
Practical Minimum Sample Size for Road Crash Time-Series Prediction Models
2020
Advances in Civil Engineering
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In this study, the effect of sample size (number of years used to develop a prediction model) on the crash prediction accuracy using Autoregressive integrated moving average (ARIMA) method was investigated ...
Based on the availability of annual crash records, road crash data for four selected countries (Denmark, Turkey, Germany, and Israel) were used to develop the crash prediction models based on different ...
rate, length, and vertical grade are important variables in explaining the severity of crashes. e negative binomial regression model was used to predict injury frequency and fatality per year on Advances ...
doi:10.1155/2020/6672612
fatcat:zspo4r3buvflrkltpfbh2ouqoi
Smoothly mixing regressions
2007
Journal of Econometrics
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The first illustration studies quantiles of the distribution of earnings of men conditional on age and education, and shows that smoothly mixing regressions are an attractive alternative to non-Baeysian ...
quantile regression. ...
There is also evidence of a leverage effect, that is, greater volatility following a negative return than a positive one. ...
doi:10.1016/j.jeconom.2006.05.022
fatcat:64vueg6t3bgqfdynmx3dy26skm
Bayesian binary quantile regression for the analysis of Bachelor-to-Master transition
2016
Journal of Applied Statistics
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The working group (WG) CMStatistics comprises a number of specialized teams in various research areas of computational and methodological statistics. ...
The teams act autonomously within the framework of the WG in order to promote their own research agenda. Their activities are endorsed by the WG. ...
Further assume that various environmental factors, common to the regions trigger the recurrence of the event of interest leading to spatially correlated recurrent event data. ...
doi:10.1080/02664763.2016.1263835
fatcat:l5eyielgxrct7hq5ljqeej5ccy
An empirical link between the spectral colour of climate and the spectral colour of field populations in the context of climate change
2011
Journal of Animal Ecology
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Climate and population phenomena have a
spatial structure, however, that needs to be accounted for to avoid inflation of Type I error rates (Legendre & Legendre 1998). ...
For mean summer temperatures, Asia an ustralasia became
redder. and other regions became
(Fig. 2)
Distributions of the spectral exponents of climate variables appeared symmetric and unimodal, quantile-quantile ...
doi:10.1111/j.1365-2656.2011.01833.x
pmid:21466552
fatcat:bnqsfqvfqfd7znehtu4qeuptsa
Panel Data Methods and Applications to Health Economics
[chapter]
2009
Palgrave Handbook of Econometrics
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variation to identify the treatment effects of interest. ...
Models for longitudinal data 5.1 Applications of linear models 5.2 Applications with categorical outcomes 5.3 Applications with count data 5.4 Applications of quantile regression and other semiparametric ...
They compare specifications that allow for a spatial autoregressive process in the error term; a random effects model with spatially lagged dependent variables; and a random effects model with spatial ...
doi:10.1057/9780230244405_12
fatcat:4k3cr7zqwnegrdxaqm226mwj54
Spatial Statistical Models: An Overview under the Bayesian Approach
2021
Axioms
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However, this class of modeling is not yet well explored when compared to adopting classification and regression in machine-learning models, in which the assumption of the spatiotemporal independence of ...
Bayesian spatial statistics is a useful statistical tool to determine the dependence structure and hidden patterns in space through prior knowledge and data likelihood. ...
spatial quantile regression model with an asymmetric Laplace spatial component to determine the risk factors of the radon-222 noble gas, which arises naturally from uranium decays; Reference [72] adopted ...
doi:10.3390/axioms10040307
fatcat:a6nnkw3imjgcjh4hd6ttkr4ln4
Population dynamics of the threatened Cumberland Sound beluga (Delphinapterus leucas) population
2020
Arctic Science
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Engaged co-management of the Cumberland Sound beluga population and information on demographic parameters, such as reproductive rates, and age and sex composition of the harvest, are needed to restore ...
Long-term trends in abundance were examined by fitting a Bayesian surplus-production population model to a time series of abundance estimates (n = 5), flown between 1990 and 2017, taking into account reported ...
at Washington University, and the Department of Government and the Institute for Quantitative Social Science at Harvard University. ...
doi:10.1139/as-2019-0030
fatcat:pt6rtraxingg3fmrqnei3obnty
Fully distribution-free center-outward rank tests for multiple-output regression and MANOVA
[article]
2021
arXiv
pre-print
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Extending rank-based inference to a multivariate setting such as multiple-output regression or MANOVA with unspecified d-dimensional error density has remained an open problem for more than half a century ...
A concept of center-outward multivariate ranks and signs based on measure transportation ideas has been introduced recently. ...
That
grid Gn is obtained as follows:
(a) first factorize n into n = nR nS + n0 , with 0 ≤ n0 < min(nR , nS );
(b) next consider a “regular array” SnS := {sn1 S , . . . , snnSS } of nS points on the ...
arXiv:2007.15496v2
fatcat:nafwmteth5f2fbmh5ntyya54hq
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