PRINT »  |  PDF »  |  ADD TO MY FAVORITES

Statistics
  

Contracts (5) Researchers (21) Organisation Units (1)

Start year: End year: Sort alphabetically Sort by last update Sort by contract start date Flexibla modeller för stora mikroekonomiska datamängder Dr Mattias Villani Period: 12/15/10 - 12/31/14 Recent technological progress has made it possible to collect and process huge amounts of financial micro data. This project aims to develop flexible models that can capture non-linear and non-Gaussian behaviour of large financial data sets. An important aspect will be the interpretation of the ... Learning and Using High-Dimensional Bayesian Network Models in Social and Behavioral Sciences Dr Tatjana Pavlenko Period: 1/1/09 - 12/31/11 Reasoning under uncertainty is common practice in social sciences, where it is often combined with massive datasets with an excessive number of features that are beyond traditional approaches. Development of advanced supporting techniques to capturing the uncertainties within such complex domains ... Minimax design - construction, effectiveness comparisons, and practical applications Dr Ellinor Fackle Fornius Period: 1/1/10 - 12/31/12 As experimental methods are used more frequently in the social sciences they need to be developed further. Proper planning of experiments is important because it will increase the certainty in the conclusions. Properly planned experiments are also cost effective since they are more reliable given a ... Model-based cluster analysis of longitudinal data and with residual cluster Prof Daniel Thorburn Period: 1/1/06 - 12/31/08 Modellbaserad klusteranalys av longitudinella data och med ett speciellt avvikarkluster. Klusteranalys är en gammal och välkänd statistisk teknik. Ursprungligen var den rent deskriptiv och svarade på frågan: Hur delar man på bästa sätt in ett material i ett antal grupper? Senare har man fogat in ... Statistical Diagnostics in Multilevel Models Prof Hans Nyquist Period: 1/1/11 - 12/31/13 Multilevel modelling is a widely accepted tool for analyzing data which are organized into hierarchies or other complex classification structures. The overall purpose of the project is to extend existing statistical diagnostic tools and develop new ones for in multilevel models and provide data ...