Data Science, machine learning and business analytics
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keywords:
Mixture models, Classification and clustering, Multivariate statistics, Textual data analysis, Random projections
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policy evaluation, Satisfaction, quality of life and well-being, Tourism and convention industry, Productivity and
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Spatial Econometrics, Limited Dependent Variables, Dynamic Spatial Panel Data Models, Computational Statistics,
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Industrial economics, Competition policy and Antitrust, Banking Regulation and Supervision, Mechanism Design, Game
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data mining applications, Subgroup Analysis, selection bias in observational studies, Internationalization,
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Covariance matrix, Cluster analysis, Outlier detection, Multivariate spectrum, Multivariate time series
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Policy evaluation at Micro-Level, Big Data Analysis, Text Regression, Quantile Regression, Discrete Choice Models
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Mixture models, Cluster analysis, Linear regression, Recursive partitioning methods
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Financial Mathematics, Transaction Costs, Asset Pricing, Portfolio Optimization
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Production analysis, Busienss cycle analisys, Forecasting financial market volatitly, Machine learning models, Tourist
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Cluster analysis, Foundations of statistics and data analysis, Modelling and applications of statistics, Data
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Survival analysis, Non parametric regression models, Propensity score, Statistica analysis of genetic data
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latent variable models, covariance estimation, robust methods, mixture models, supervised classification, unsupervised
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cluster analysis, finite mixture model, latent variable model, regression trees
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advertising, labour market, market intelligence, temporary workers, advertising liking, income and wealth distribution
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Statistical Analysis of Financial Data, Extreme Value Analysis for policy decisions, Economics and business forecasting
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Poverty, Inequality, Social Security, Welfare, Public Policies, Forced Displacement
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Latent Variable Models, Multivariate Analysis, Mixture models, Supervised and Unsupervised Classification, Textual Data
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