Technology, Artificial Intelligence, Machine Learning, Data Science, Deep Learning.
valued cadlag function with finite sectional variation norm, we define a candidate ensemble estimator as the mapping from the data into the composition of the cadlag function and the J estimated functions. Using V-fold cross-validation, we define the cross-validated empirical risk of each cadlag