30 citations · 44 across the 3 of their papers we have counts for
4 papers
Extreme Binary Classification: Extreme Value Theory for Extreme Constraint on False Negative
Samuel Gruffaz, Muhammad Fawad, Jaakko Nevalainen
While binary classification is one of the most extensively studied problems in machine learning, the regime in which the goal is to learn a classifier with an almost zero false neg…
Hypothesis-driven mediation analysis for compositional data: an application to gut microbiome
Noora Kartiosuo, Jaakko Nevalainen, Olli Raitakari +2
Biological sequencing data consist of read counts, e.g. of specified taxa and often exhibit sparsity (zero-count inflation) and overdispersion (extra-Poisson variability). As most…
Inference on the marginal distribution of clustered data with informative cluster size
Jaakko Nevalainen, Somnath Datta, Hannu Oja
In spite of recent contributions to the literature, informative cluster size settings are not well known and understood. In this paper, we give a formal definition of the problem a…
Nonparametric Analysis of Clustered Multivariate Data
Jaakko Nevalainen, Denis Larocque, Hannu Oja +1
There has been a wide interest to extend univariate and multivariate nonparametric procedures to clustered and hierarchical data. Traditionally, parametric mixed models have been u…