The HiDimStat package provides statistical inference methods to solve the problem of variable importance evaluation in the context of predictive model using high ...

Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

Divergence estimators have emerged as quintessential tools in statistical inference, particularly in contexts where traditional likelihood‐based methods fail under model misspecification or data ...

1 Statistics Program, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia 2 Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, ...

Machine learning is increasingly used as an efficient substitute for traditional data collection when the latter is challenging. For example, predictions of conditions such as poverty, deforestation, ...

Abstract: With the increasing availability of electronic health records (EHR) data, it is important to effectively integrate evidence from multiple data sources to enable reproducible scientific ...

Abstract: We consider the estimation and inference of graphical models that characterize the dependency structure of high-dimensional tensor-valued data. To facilitate the estimation of the precision ...

Eleanor has an undergraduate degree in zoology from the University of Reading and a master’s in wildlife documentary production from the University of Salford.View full profile Eleanor has an ...

With a population of over 27 million and counting, crows seem almost ubiquitous across the US. Their loud “caws” are hard to miss, and the tone of these cries varies depending on what the birds are ...