Nettsider med emneord «Hierarchical modeling»
![graf med noder](https://www.uio.no/dscience/english/research/activities/images-new/bayesianmethods-ml.png?alt=listing)
Bayesian methods have recently regained a significant amount of attention in the machine community due to the development of scalable approximate Bayesian inference techniques. There are several advantages of using Bayesian approach: Parameter and prediction uncertainty become easily available, facilitating rigid statistical analysis. Furthermore, prior knowledge can be incorporated.
![](https://www.uio.no/dscience/english/research/activities/images-new/biginsight.png?alt=listing)
BigInsight produces innovative solutions for key data-driven challenges facing our consortium of private, public and research partners, by developing original statistical and machine learning methodologies.
![](https://www.uio.no/dscience/english/research/activities/images-new/cryogrid.png?alt=listing)
The CryoGrid community model is a flexible toolbox for simulating the ground thermal regime and the ice/water balance for permafrost and glaciers. The CryoGrid community model can accommodate a wide variety of application scenarios, which is achieved by fully modular structures through object-oriented programming.
![](https://www.uio.no/dscience/english/research/activities/images-new/prosjekt.png?alt=listing)
The dynamics of Chemical Reaction Networks (CRN), which are typically embedded within Mass and Energy Transport Phenomena such as diffusion or advection, govern the performance of innumerable industrial technologies.
![](https://www.uio.no/dscience/english/research/activities/images-new/prosjekt.png?alt=listing)
For maritime safety surveillance we develop new approaches
based on the availability of large arrays of sensors, which
monitor condition and performance of vessels, machinery, or
power systems.