Nature

Permeability modelling in a highly heterogeneous tight carbonate reservoir using comparative evaluating learning-based and fitting-based approaches

Permeability modelling is considered a complex task in reservoir characterization and a key component of reservoir simulation. A common method for permeability modelling involves performing static ...
Nature

Deep learning-driven statistical bias correction for climate risk assessment of projected temperature extremes in the Nordic region

The Nordic countries, comprising Denmark, Finland, Iceland, Norway, and Sweden, are a natural experimental laboratory for monitoring and quantifying the profound behaviour of anthropogenic climate ...
techtimes

The Role of Assumptions in Statistical Model Selection

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...