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  • Analysis of risk and survival analysis in business, economics and medicine
  • Graphical Markov Models with latent variables (with application to Credit Scoring; Measuring the Probability of Default of Small and Medium Enterprises; Corporate Social Responsibility; Epidemiology; Health and Social science)
  • Hidden Markov models for longitudinal data and time-series
  • Inventories, Short Run Dynamics and Forecasts on Commodity Markets
  • Item Response Theory, Longitudinal and multilevel models, Latent class models
  • Mixture models, Statistical learning, Genetic algorithms
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