Path analysis requires that exogenous and residual variables not be correlated. An alterna- tive to assuming the two to be independent is to treat the exogenous variables as fixed or non-random.
Accurate and in-time prediction of crop yield plays a crucial role in the planning, management, and decision-making processes within the agricultural sector. In this investigation, utilizing area ...
P2D-former for time-series forecasting with period-aware 2D representations and exogenous covariates
Time series forecasting finds extensive application across numerous real-world scenarios, yet faces challenges in modelling multi-period variability and exogenous variables. To address this, this ...
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