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Searching for structure in complex data: A modern statistical quest
Instantanés de recherche mathématique à Oberwolfach
Searching for structure in complex data: A modern statistical quest
Current research in statistics has taken interesting new directions, as data collected from scientific studies has become increasingly complex. At first glance, the number of experiments conducted by a scientist must be fairly large in order for a statistician to draw correct conclusions based on noisy measurements of a large number of factors. However, statisticians may often uncover simpler structure in the data, enabling accurate statistical inference based on relatively few experiments. In this snapshot, we will introduce the concept of high-dimensional statistical estimation via optimization, and illustrate this principle using an example from medical imaging. We will also present several open questions which are actively being stud- ied by researchers in statistics.
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Sujet mathématique
Théorie des probabilités et statistique
Liens avec d'autres domaines
Informatique
Ingénierie et technologie
Licence
DOI
10.14760/SNAP-2021-003-EN
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snapshots: overview
Sujet mathématique
Algèbre et théorie des nombres
Analyse
Pédagogie et éducation
Mathématiques discrètes et fondements des mathématiques
Géométrie et Topologie
Calcul numérique et calcul scientifique
Théorie des probabilités et statistique
Liens avec d'autres domaines
Chimie et sciences de la terre
Informatique
Ingénierie et technologie
Finances
Humanités et sciences sociales
Sciences de la vie
Physique
Pensées mathématiques