نتایج جستجو برای: vector auto regression
تعداد نتایج: 529054 فیلتر نتایج به سال:
Modeling responses on the nodes of a large-scale network is an important task that arises commonly in practice. This paper proposes community vector autoregressive (CNAR) model, which utilizes structure to characterize dependence and intra-community homogeneity high dimensional time series. The CNAR model greatly increases flexibility generality (Zhu et al, 2017, NAR) by allowing heterogeneous ...
Spatially autocorrelated species abundance or distribution datasets typically generate spatially autocorrelated residuals in generalized linear models; a broader modelling framework is therefore required. Auto-logistic and related auto-models, implemented approximately as autocovariate regression, provide simple and direct modelling of spatial dependence. The autologistic model has been widely ...
انتقال رسوب و رسوبگذاری، پـیآمـدهایی چـون ایجـاد جزایـر رسـوبی در مـسیر رودخانه و در نتیجه کاهش ظرفیت انتقال جریانهای سی?بی، خوردگی تأسیسات سـازههـای رودخانـهای و مشک?ت دیگر را دربر دارد. همچنین رسوبات معلق کیفیت آب را برای مصارف بشری تحت تأثیر قرار می دهد. بنـابراین، در هیـدرولیک رودخانـه و ژئومورفولوژی آن، بررسی ظرفیت حمل رسوب جریان و مکانیسم انتقال رسـوب از اهمیـت ویـژه ای برخوردار است. رویک...
support vector regression (svr) is a learning method based on the support vector machine (svm) that can be used for curve fitting and function estimation. in this paper, the ability of the nu-svr to predict the catalytic activity of the fischer-tropsch (ft) reaction is evaluated and the result is compared with two other prediction techniques including: multilayer perceptron (mlp) and subtractiv...
a robust and reliable quantitative structure-property relationship (qspr) study was established to forecast the melting points (mps) of a diverse and long set including 250 drug-like compounds. based on the calculated descriptors by dragon software package, to detect homogeneities and to split the whole dataset into training and test sets, a principal component analysis (pca) approach was used...
Real-life count data are frequently characterized by overdispersion and excess zeros. Zero-inflated count models provide a parsimonious yet powerful way to model this type of situation. Such models assume that the data are a mixture of two separate data generation processes: one generates only zeros, and the other is either a Poisson or a negative binomial data-generating process. The result of...
OBJECTIVE To analyze the dengue epidemic in relation to the socioeconomic context according to geographical areas. METHODS An ecological study was conducted in the municipality of Rio de Janeiro (Southeastern Brazil), in areas delimited as neighborhoods, based on information about notified dengue cases concerning residents in the municipality. The average incidence rate of dengue was calculat...
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