Rutger Lit, PhD
Short Bio
Rutger Lit holds a Bachelor’s degree and Master’s degree in Econometrics and Operations Research from the Vrije Universiteit Amsterdam (VU). In April 2013, Rutger started working as a PhD candidate at the Finance department at the VU. On February 9, 2016, Rutger defended his dissertation titled
In 2017, he founded Nlitn, a company offering consultancy services. Nlitn also offers full data solution packages for its clients, for example, the Time Series Lab software series.
Time-varying parameter models for discrete valued time seriesCurrently, he is a research fellow at the VU, specialising in time series analysis. Rutger published in top statistical journals like the Journal of the American Statistical Association and Journal of Econometrics.
In 2017, he founded Nlitn, a company offering consultancy services. Nlitn also offers full data solution packages for its clients, for example, the Time Series Lab software series.
Publications
- Estimation of final standings in football competitions with premature ending: the case of COVID-19 [link] AStA - Advances in Statistical Analysis (2020)
- The analysis and forecasting of tennis matches using a high-dimensional dynamic model [link] Journal of the Royal Statistical Society, Series A (2019)
- Long Term Forecasting of El Niño Events via Dynamic Factor Simulations [link]
- Forecasting football match results in national league competitions using score-driven time series models [link] International Journal of Forecasting (2019)
- Dynamic Discrete Copula Models for High Frequency Stock Price Changes [link] Journal of Applied Econometrics (2018)
- Modified Efficient Importance Sampling for partially non-Gaussian State Space Models [link] Statistica Neerlandica (2019)
- Intraday Stochastic Volatility in Discrete Price Changes: the Dynamic Skellam Model [link] Journal of the American Statistical Association (2017), 112, 1490-1503
- Model-Based Business Cycle and Financial Cycle Decomposition for Europe and the United States [link] Systemic Risk Tomography: Signals, Measurements and Transmission Channels, ISTE-Elsevier (2016)
- A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League [link] Journal of the Royal Statistical Society, Series A (2015), 178(1), 167-186
Skills
Extensive knowledge of programming languages Python, MATLAB, OxMetrics, the document preparation software Latex, and Microsoft Excel.
Proficient at C, R, HTML, CSS, PHP, and Bootstrap.
Proficient at C, R, HTML, CSS, PHP, and Bootstrap.
Interests
Chess | Formula 1 | Sports statistics |
Bouldering | Cave exploration | Coding |
Car restoration | Mountains | Numbers |
8-bit computing | Econometrics | Border Collies |