Functional data analysis (FDA) is the branch of statistics that treats individual observations as continuous functions, curves or surfaces rather than as finite-dimensional vectors. Central to FDA are ...
Estimation methods form the backbone of statistical inference, allowing researchers to infer unknown parameters from observed data. Classical approaches include the maximum likelihood estimator (MLE), ...