Statistical modelling and machine learning
We specialise in research and development in statistical modelling and machine learning across sectors, including finance, insurance, technology, industry, healthcare, and climate and environment.
We develop solutions for our clients by extracting insights from all types of data. We have theoretical and applied expertise in statistical modelling and machine learning, including natural language processing. We work closely with our clients and partners to develop models, conduct analyses, and implement operational systems.
Central to our approach is guiding our clients towards the best piece of data to further innovation. Our researchers also contribute to methodological advancement, offering valuable theoretical insights and extensions of established methodologies.
Statistical modelling and machine learning are at the heart of artificial intelligence. Accurate forecasting, uncertainty quantification, risk assessment and classification demands an understanding of both classical statistical methods and modern machine learning techniques. Our experienced researchers excel in selecting the right methodology for a given practical problem. This proficiency is fundamental for understanding possibilities and constraints, as well as for leveraging available data in order to implement user-friendly solutions.
Our solutions cater to a wide range of applications, ensuring their relevance and effectiveness. Among our areas of expertise are:
- methods for detection of anomalies in time series
- methods for explainable artificial intelligence
- risk models for banks and insurance companies
- electricity price forecasts
- seasonal climate forecasts for temperature and precipitation
- models for the spread of salmon lice between fish farms
- language models for anonymising text documents
Our team of researchers have extensive expertise in statistical analysis, mathematical modeling, and machine learning, and we collaborate closely with our clients and partners. Our projects are financed by private companies, public agencies, the Research Council of Norway and the European Commission.
