Overview of research topics
Key research lines
- Modelling and inference
Key research line: Flexible modelling and generalised regression - Biostatistics
Key research line: Multivariate correlated data analysis - Psychometrics
Key research line: Heterogeneity, dependencies, associations and dynamics
Research topics
An extensive basis of research domains pertaining to both statistical methodology and to a broad range of application fields is covered by members of LStat. Each of the following domains lists a series of topics, to which one or more academic staff members connect their research.
Click on a plus-sign to see the names.
Biometrics
Bayesian Statistics and MCMCBioinformaticsClassification and Measurement errorClinical trialsData MiningEpidemiology of physical activityMixed models, multilevel models, longitudinal data analysisModelling and model selectionModels for gene-expression data Repeated measuresSemi-parametric and Non-parametric statisticsSignal Processing and Image AnalysisSurrogate marker evaluation in clinical trialsSurvey methods and QuestionnairesSurvival analysis and Missing dataSocial, Behavioural and Educational Statistics
Bayesian Statistics and MCMCCategorical data analysisClustering methodsData MiningDecision theory, discrete choice modelling, conjoint analysisHierarchical classes modelsMeta analysisMixed models, multilevel models, longitudinal data analysisModelling and model selectionModels for multiway and multiset data/data fusionProblem formulation, questionnaires and model constructionResamplingSemi-parametric and Non-parametric statisticsStatistics educationSurvey methods and QuestionnairesBusiness Statistics
Actuarial Science: Dhaene Jan,
Categorical data analysisDecision theory, discrete choice modelling, conjoint analysisEconometricsExperimental designExtreme value statistics: Beirlant Jan,
Financial engineeringMarketing modellingMultivariate data analysisPanel data: Dhaene Geert,
Stochastic modelsIndustrial Statistics
BioinformaticsChemometrics: Darius Paul,
Classification and Measurement errorComputational methodsData MiningExperimental designMixed models, multilevel models, longitudinal data analysisMultiscale analysis:
Multivariate data analysisNatural hazardsQuality ControlRisk analysisSignal Processing and Image AnalysisStochastic modelsStructural reliabilityGeneral Statistical Methodology
Bayesian Statistics and MCMCClassification and Measurement errorComputational methodsEconometricsGeneral statistical methodologyGoodness of fitMeta analysisModelling and model selectionMultivariate data analysisResamplingRobust statisticsSemi-parametric and Non-parametric statisticsStatistical inferenceSurvival analysis and Missing dataWavelet theory
