This paper discusses three modelling techniques, which apply to multiple time series data that correspond to different spatial locations (spatial time series). The first two methods, namely the Space-Time ARIMA (STARIMA) and the Bayesian Vector Autoregressive (BVAR) model with spatial priors apply when interest lies on the spatio-temporal evolution of a single variable. The former is better sui...

Models based on economic theory have serious problems at forecasting exchange rates better than simple univariate driftless random walk models, especially at short horizons. Multivariate time series models suffer from the same problem. In this paper, we propose to forecast exchange rates with a large Bayesian VAR (BVAR), using a panel of 33 exchange rates vis-a-vis the US Dollar. Since exchange...

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شب پره جوانه خوار بلوط Tortrix viridana, Linnaeus, 1758 (Lep. Tortricidae) یکی از آفات مهم گونه های مختلف جنس Quercus spp. می باشد. لاروهای این آفت ها و برگ درختان تغذیه نمایند باعث بی برگی کامل مورد نظر شوند. در تحقیق تفاوت ژنتیکی پروانه با استفاده مارکرهای ISSR بر اساس میزبان آن جنگل شمال غرب ایران مطالعه قرار گرفت. 19 جمعیت شامل 171 فرد که سه branti Lindl. 1840, infectoria Oliv. 1801 libani ...

The use of renewable energy reduces environmental pollution and leads to achievement of sustainable development. The current study investigates the dynamic interrelationship between sustainable development, renewable and non-renewable energies and environment nexus by applying Bayesian vector autoregression (BVAR) and impulse response functions in Iran with an annual data frequency for the time...