Analysis of Violent Crime Count Data Based on Bivariate Conditional Auto-Regressive Model
نویسندگان
چکیده
منابع مشابه
A bivariate Poisson count data model using conditional probabilities
The applied econometrics of bivariate count data predominantly focus on a bivariate Poisson density described by Johnson and Kotz. The main limitation is that this bivariate distribution excludes zero and negative correlation. This paper introduces a new model which allows for a more exible correlation structure. To this end the joint density is decomposed by means of the multiplication rule in...
متن کاملNetwork Traffic Prediction Model Based on Auto-regressive Moving Average
With the development of Internet and computer science, computer network is changing people’s lives. Meanwhile, Network traffic prediction model itself becomes more and more complex. It is an important research direction to quickly and accurately detect the intrusions or attacks. The performance efficiency of a network intrusion detection system is dominated by pattern matching algorithm. Howeve...
متن کاملEstimation of Count Data using Bivariate Negative Binomial Regression Models
Abstract Negative binomial regression model (NBR) is a popular approach for modeling overdispersed count data with covariates. Several parameterizations have been performed for NBR, and the two well-known models, negative binomial-1 regression model (NBR-1) and negative binomial-2 regression model (NBR-2), have been applied. Another parameterization of NBR is negative binomial-P regression mode...
متن کاملMultiple-change-point detection for auto-regressive conditional heteroscedastic processes
The emergence of the recent financial crisis, during which markets frequently underwent changes in their statistical structure over a short period of time, illustrates the importance of non-stationary modelling in financial time series. Motivated by this observation, we propose a fast, well performing and theoretically tractable method for detecting multiple change points in the structure of an...
متن کاملNon-homogenous Auto-regressive Model Based Prior for Multiresolution Fusion
1. ABSTRACT In this paper we propose a model-based approach for multiresolution fusion of remotely sensed images. Given a high spatial resolution & low spectral resolution PAN (Panchromatic) image and a low spatial resolution & high spectral resolution MS (Multispectral) images of the same geographical area, the objective is to enhance the spatial resolution of the MS images to that of the PAN ...
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: Communications for Statistical Applications and Methods
سال: 2010
ISSN: 2287-7843
DOI: 10.5351/ckss.2010.17.3.413