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Sebastian Ankargren

I am a Senior Data Scientist at Spotify. I received my PhD in statistics from Uppsala University in 2019. At Spotify, I work on the development of the internal experimentation platform, and on the external experimentation platform Confidence.

Blog posts

  1. Experiment Like Spotify: With Confidence (with Johan Rydberg), Confidence
  2. Bringing Sequential Testing to Experiments with Longitudinal Data (Part 2): Sequential Testing (with Mattias Frånberg and Mårten Schultzberg), Spotify Engineering
  3. Bringing Sequential Testing to Experiments with Longitudinal Data (Part 1): The Peeking Problem 2.0 (with Mattias Frånberg and Mårten Schultzberg), Spotify Engineering
  4. Choosing a Sequential Testing Framework — Comparisons and Discussions (with Mårten Schultzberg), Spotify Engineering
  5. Comparing Quantiles at Scale in Online A/B Testing (with Mårten Schultzberg), Spotify Engineering

Peer-reviewed publications

  1. Oelrich, O., Villani, M., and Ankargren, S. (2024) “Local Prediction Pools”, Journal of Forecasting
  2. Schultzberg, M., and Ankargren, S. (2023) “Resampling-Free Bootstrap Inference for Quantiles”, Proceedings of the Future Technologies Conference (FTC) 2022
  3. Ankargren, S., and Jonéus, P. (2021) “Simulation Smoothing for Nowcasting with Large Mixed-Frequency VARs”, Econometrics and Statistics.
  4. Ankargren, S., Unosson, M., and Yang, Y. (2020) “A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior”, Journal of Time Series Econometrics.
  5. Jin, S., and Ankargren, S. (2019) “Frequentist Model Averaging in Structural Equation Modelling”, Psychometrika.
  6. Ankargren, S., and Jin, S. (2018) “On the Least-Squares Model Averaging Interval Estimator”, Communications in Statistics—Theory and Methods.
  7. Ankargren S., Bjellerup, M., and Shahnazarian, H. (2017) “The Importance of the Financial System for the Real Economy”, Empirical Economics.

Work in progress

  1. Nowcasting Swedish GDP Growth (with Unn Lindholm)
  2. Time-Varying Macroeconomic Forecast Uncertainty: Sweden and the Covid-19 Pandemic
  3. Estimating Large Mixed-Frequency Bayesian VAR Models (with Paulina Jonéus)
  4. The Interaction Between Fiscal and Monetary Policies: Evidence from Sweden (with Hovick Shahnazarian)
  5. Estimating a VECM for a Small Open Economy (with Johan Lyhagen)

Software

  1. mfbvar: Mixed-frequency Bayesian VAR models in R CRAN, GitHub
  2. statmath: Statistical notation made easy in Latex CTAN, GitHub
  3. karencv: Academic CV template following Dr. Karen’s guidelines, GitHub
  4. confidence: Open-source Python package for analyzing experiments, GitHub

Contact information

By Sebastian Ankargren 2020. Powered by Jekyll based on the onepage theme.