High-dimensional vector autoregression with measurement error is frequently encountered in a large variety of scientific and business applications. In this article, we study statistical inference the transition matrix under model. While there has been body literature studying sparse estimation matrix, paucity solutions, especially high-dimensional scenario. We develop inferential procedures for...

Evapotranspiration is one of the hydrological cycle’s most important elements in water management across economic sectors. Critical applications agriculture domain include irrigation practice improvement and efficiency, as well resource preservation. The main objective this research to forecast reference evapotranspiration using vector autoregression (VAR) model investigate meteorological varia...