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This article considers the problem of inference for nested least squares averaging estimators. We study the asymptotic behavior of the Mallows model averaging estimator (MMA; Hansen, 2007) and the ...

This Github repo contains all lesson files for Hierarchical Linear Models in R. The goal is to impart students with the basic tools to construct, evaluate and compare various (generalized) linear ...

Transformer models have revolutionized sequence modeling tasks, but their standard attention mechanism faces significant challenges when dealing with long sequences. The quadratic complexity of ...

Prior to PILOT, fitting linear model trees was slow and prone to overfitting, especially with large datasets. Traditional regression trees struggled to capture linear relationships effectively. Linear ...

Setting Maternity hospital in Dublin, Ireland. Participants 720–759 mother–child pairs from the ROLO study (initially a randomised control trial of a low glycaemic index diet in pregnancy to prevent ...

Abstract: Model predictive control (MPC) has been widely applied to different aspects of autonomous driving, typically using nonlinear physically derived models for prediction. However, feedback ...