Meta-analysis is a valuable tool for combining information from independent studies. However, most common meta-analysis techniques rely on distributional assumptions that are difficult, if not impossible, to verify. For instance, in the commonly used fixed-effects and random-effects models, we take for granted that the underlying study-level parameters are either exactly the same across individ...

In random coefficients linear IV models, fixed effects averages of the individual-specific coefficients are biased in short panels due to the finite-sample bias of IV estimators. This paper introduces a new class of bias-corrected semiparametric estimators for panel models where the response to the regressors can be individual-specific in an unrestricted way. These estimators are based on momen...

In this paper, a methodological approach to the classification of tumour skin lesions in dermoscopy images is presented. Melanomas are the most malignant skin tumours. They grow in melanocytes, the cells responsible for pigmentation. This type of cancer is increasing rapidly; its related mortality rate is increasing more modestly, and inversely proportional to the thickness of the tumour. The m...