Sökning: "mattias villani"
Visar resultat 11 - 15 av 16 avhandlingar innehållade orden mattias villani.
11. Bayesian Inference in Large Data Problems
Sammanfattning : In the last decade or so, there has been a dramatic increase in storage facilities and the possibility of processing huge amounts of data. This has made large high-quality data sets widely accessible for practitioners. This technology innovation seriously challenges traditional modeling and inference methodology. LÄS MER
12. Bayesian Models for Spatiotemporal Data from Transportation Networks
Sammanfattning : Urbanization has caused a historical transformation at a global scale, and humanity is moving towards a fully connected society where cities will concentrate population, infrastructure and economic activity. A key element in the cities’ infrastructure is the transportation system, as it facilitates the mobility of people and goods. LÄS MER
13. An Informed System Development Approach to Tropical Cyclone Track and Intensity Forecasting
Sammanfattning : Introduction: Tropical Cyclones (TCs) inflict considerable damage to life and property every year. A major problem is that residents often hesitate to follow evacuation orders when the early warning messages are perceived as inaccurate or uninformative. LÄS MER
14. Scalable Bayesian spatial analysis with Gaussian Markov random fields
Sammanfattning : Accurate statistical analysis of spatial data is important in many applications. Failing to properly account for spatial autocorrelation may often lead to false conclusions. LÄS MER
15. Prediction Methods for High Dimensional Data with Censored Covariates
Sammanfattning : While access to data steadily increases, not all data are straight-forward to use for prediction. Censored data are common in several industrial scenarios, and typically arise when there are some limitations to measuring equipment such as for instance concentration measuring equipment in chemistry or signal receivers in signal processing. LÄS MER
