Angelos Alexopoulos
  • Home
  • Publications
  • Recent & Upcoming Talks
  • Projects
  • Recent & Upcoming Talks
    • Deep Generative models for fraud detection
    • Causal Inference
    • A Network and Machine Learning Approach to Detect Value Added Tax Fraud
    • Fraud detection in the Greek fuel market by using machine learning methods
    • A machine learning approach to construct quarterly data on intangible investment for Eurozone
  • Publications
    • Gaussian invariance in Markov chain Monte Carlo
    • A Bayesian multivariate factor analysis model for causal inference using time series observational data on mixed outcomes
    • A stochastic dynamical model for epidemic nowcasting and forecasting
    • A machine learning approach to construct quarterly data on intangible investment for Eurozone
    • Networks and machine learning to detect Value Added Tax fraud
    • Variance reduction for Metropolis-Hastings samplers
    • Bayesian prediction of jumps in large panels of time series data
    • Bayesian Variable Selection for Gaussian copula regression models
    • Bayesian forecasting of mortality rates by using latent Gaussian models
  • Projects
  • Blog
    • ๐ŸŽ‰ Easily create your own simple yet highly customizable blog
    • ๐Ÿง  Sharpen your thinking with a second brain
    • ๐Ÿ“ˆ Communicate your results effectively with the best data visualizations
    • ๐Ÿ‘ฉ๐Ÿผโ€๐Ÿซ Teach academic courses
    • โœ… Manage your projects
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python
  • Projects
    • DETECTIVE

A machine learning approach to construct quarterly data on intangible investment for Eurozone

May 6, 2024ยท
Angelos Alexopoulos
Angelos Alexopoulos
ยท 0 min read
Date
May 6, 2024 12:00 AM
Event
WIPO-Luiss 1st Global INTAN-Invest Conference, Rome, Italy
Last updated on May 6, 2024
Angelos Alexopoulos
Authors
Angelos Alexopoulos
Assistant Professor

← Fraud detection in the Greek fuel market by using machine learning methods Jun 20, 2024

ยฉ 2024 Angelos Alexopoulos. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder โ€” the free, open source website builder that empowers creators.