Joint Modeling of Multiple Crimes: A Bayesian Spatial Approach
نویسندگان
چکیده
منابع مشابه
Joint Modeling of Multiple Crimes: A Bayesian Spatial Approach
A multivariate Bayesian spatial modeling approach was used to jointly model the counts of two types of crime, i.e., burglary and non-motor vehicle theft, and explore the geographic pattern of crime risks and relevant risk factors. In contrast to the univariate model, which assumes independence across outcomes, the multivariate approach takes into account potential correlations between crimes. S...
متن کاملA Hierarchical Bayesian Approach for Spatial Time Series Modeling
Despite the fact that the amount of datasets containing long economic time series with a spatial reference has significantly increased during the years, the presence of integrated techniques that aim to describe the temporal evolution of the series while accounting for the location of the measurements and their neighboring relations is very sparse in the econometric literature. This paper shows...
متن کاملDetecting and Modeling Spatial Disease Clustering: A Bayesian Approach
Current statistical methods for disease clustering studies are based on a hypothesis testing paradigm. These methods typically do not produce useful estimates of disease rates or cluster risks. In this paper, we develop a Bayesian procedure for drawing inferences about speciic models for spatial clustering. The proposed methodology incorporates ideas from image analysis , from Bayesian model av...
متن کاملBayesian Data Fusion: a Reliable Approach for Descriptive Modeling of Ore Deposits
Recognition of ore deposit genesis is still a controversial challenge for economic geologists. Here, this task was addressed by the virtue of Bayesian data fusion (BDF) implementing available proofs: semi-schematic examples with two (Cu and Pb + Zn) and three (Cu, Pb + Zn and Ag) evidences. The data, in current paper are just concentrations of indicated elements, were collected from Angouran’s ...
متن کاملBayesian Sample Size Determination for Joint Modeling of Longitudinal Measurements and Survival Data
A longitudinal study refers to collection of a response variable and possibly some explanatory variables at multiple follow-up times. In many clinical studies with longitudinal measurements, the response variable, for each patient is collected as long as an event of interest, which considered as clinical end point, occurs. Joint modeling of continuous longitudinal measurements and survival time...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ISPRS International Journal of Geo-Information
سال: 2017
ISSN: 2220-9964
DOI: 10.3390/ijgi6010016