• Graduate Programs
    • Tinbergen Institute Research Master in Economics
      • Why Tinbergen Institute?
      • Research Master
      • Admissions
      • All Placement Records
      • PhD Vacancies
    • Facilities
    • Research Master Business Data Science
    • Education for external participants
    • Summer School
    • Tinbergen Institute Lectures
    • PhD Vacancies
  • Research
  • Browse our Courses
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
  • Alumni
    • PhD Theses
    • Master Theses
    • Selected PhD Placements
    • Key alumni publications
    • Alumni Community
Home | News | New Candidate Fellow: Mirko Armillotta
News | May 23, 2023

New Candidate Fellow: Mirko Armillotta

Mirko Armillotta is a Post-Doc Researcher at the Department of Econometrics and Data Science at Vrije Universiteit Amsterdam.

New Candidate Fellow: Mirko Armillotta

He had a Post-Doc position at the University of Cyprus and a visiting research period at Lancaster University, United Kingdom. Mirko Armillotta received the PhD in Statistical Sciences from the University of Bologna, Italy and the Award for the Best PhD thesis in Statistics 2021 by the Italian Statistical Society.

His main research interests include count time series, discrete-valued processes, econometrics, network time series, observation-driven models, time series analysis.