The analysis of spatio-temporal signals plays an important role in various fields including
sociology, climatology, and environmental studies, etc. Due to the abrupt breakdown of the …

Covariance function plays very important roles in modeling and in prediction of spatial data.
For instance, many statistical inferences such as maximum likelihood estimation and best …

In this paper we propose a method called half spectral composite likelihood for the
estimation of spatial–temporal covariance functions which involves a spectral approach in …

In this paper, we study space–time generalized additive models. We apply the penalyzed
likelihood method to fit generalized additive models (GAMs) for nonseparable spatio …

In this paper, we first study the theory of the spatial-temporal half spectral modeling and
describe some properties of recently proposed half spectral models. Next, we propose an …

در این مقاله، ابتدا مبانی نظری مدلسازی نیمه طیفی مطالعه شده و به توصیف چند خاصیت از مدل های
نیمه طیفی اخیر پرداخته می شود. سپس یک روش برای برآورد تابع کوواریانس فضایی-زمانی در …‎

In this paper, we first study the theory of the spatial-temporal half spectral modelling and
describe some properties of recently proposed half spectral models. Next, we propose an …