Time Series Lab Software
Time Series Lab is a software program designed to model and forecast structural time series models. These models use advanced techniques but are set to be easy to use. At the most basic level all that is required is some appreciation of the concepts of trend, seasonal and irregular. The hard work is done by the program, leaving the user free to concentrate on formulating models, then using them to make forecasts.
Time Series Lab Sports Statistics
The Time Series Lab team dives into the world of Sports Statistics. We developed a new package with the name Time Series Lab - Sports Statistics Edition. This is a software program for analyzing, modelling, and forecasting of time series focusing on sports results. The software allows you to choose from several probability distributions and model specifications to extract sports team strengths from your data. The software is based on football models that appeared in the academic literature.
Time Series Lab Articles
The Time Series Lab Article Series are dedicated to research performed with Time Series Lab software. The scope of the journal includes the analysis and forecasting of a wide range of time series in fields like economics, finance, sports, climatology, biology, and health science.
Developers with a close connection to academia
R. Lit, PhD
Rutger Lit is a research fellow of Vrije Universiteit Amsterdam and has a PhD in econometrics, specializing in time series analysis. In 2017, he founded Nlitn, a company offering consultancy services. It also offers full data solution packages to meet the data analysis needs of clients. For example, the Time Series Lab software package.Nlitn website
Professor S.J. Koopman
Siem Jan Koopman is Professor of Econometrics at the Department of Econometrics and Data Science, Vrije Universiteit Amsterdam. He is also a research fellow at Tinbergen Institute and a long-term Visiting Professor at CREATES, University of Aarhus.
He held positions at London School of Economics and CentER (Tilburg University), and had long-term visits at US Bureau of the Census, European University Institute, and European Central Bank, Financial Research.Academic website
Professor A.C. Harvey
Andrew Harvey is Emeritus Professor of Econometrics in the Faculty of Economics and Politics, University of Cambridge. He was Professor of Econometrics at the London School of Economics before coming to Cambridge in 1996. His most recent book is a monograph entitled Dynamic Models for Volatility and Heavy Tails.Academic website
P. Gorgi, PhD
Paolo Gorgi is Associate Professor at the department of Econometrics and Data Science, Vrije Universiteit Amsterdam. He obtained a double PhD in statistics and econometrics from the University of Padova and Vrije Universiteit Amsterdam. His main research interests concern: time series analysis, statistical inference for dynamic models and forecasting economic variables. He has published articles in several academic journals, including Journal of the Royal Statistical Society: Series B and Journal of Econometrics.Academic website
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