2023
- Klaassen, F, Holm, RH, Smith, T, Cohen, T, Bhatnagar, A, and Menzies, NA. (2023). Presentation: Incorporating wastewater data to enhance predictive performance of infectious disease nowcasting. Society for Medical Decision Making, Philadelphia, PA, USA.
- Klaassen, F, Chitwood, MH, Cohen, T, Pitzer, VE, Russi, M, Swartwood, NA, Salomon, JA and Menzies, NA. (2023). Presentation: Characterizing pathways to population immunity against SARS-CoV-2. Freeman-Seage Symposium, Harvard School of Public Health, Boston, MA, USA.
- Klaassen, F, Chitwood, MH, Cohen, T, Pitzer, VE, Russi, M, Swartwood, NA, Salomon, JA and Menzies, NA. (2023). Poster: Characterizing pathways to population immunity against SARS-CoV-2. Society for Medical Decision Making, Philadelphia, PA, USA.
2022
- Klaassen, F (2022). Invited talk: Bayesian hypothesis testing and modeling. McGill University, Montreal, Canada.
- Klaassen, F (2022). Invited talk: Using RStan for Bayesian statistics. Harvard Data Science Initiative R User Group, Boston, MA, USA.
2019
Klaassen, F., Kumar, A. and Rouder, J. (2019). Presentation: (Not) everybody does: Testing for individual differences and similarities in hierarchical data. International Multilevel Conference, Utrecht, the Netherlands. [Slides]
2018
Klaassen, F. (2018). Presentation: Prior probabilities: Why, What, and How? IOPS Winter Conference, CITO, Arnhem, The Netherlands. [Slides]
Klaassen, F. (2018). Poster: Staying in the loop. Perspectices on Scientific Error, Groningen, the Netherlands. [Poster]
Klaassen, F. (2018). Presentation: All for one of some for all? DGPS, Frankfurt am Main, Germany [Slides]
Klaassen, F., Zedelius, C., Veling, H., Aarts, H., & Hoijtink, H. (2018). Updating Bayes Factors within a dataset. Invited talk at Graduate Summer School: A gentle introduction into Bayesian statistics, Utrecht, the Netherlands. [Slides]
Klaassen, F., Lek, K.M., Ni, H., Veen, D., & Winter, S., Zondervan-Zwijnenburg, M.A.J. (2018). Organizer and chair of symposium: Applying subjective Bayes to real life data. EAM Conference, Jena, Germany.
Klaassen, F. and Veen, D. (2018). Duo presentation: On reasons to use subjective Bayes. EAM Conference, Jena, Germany. [Slides]
Klaassen, F., Zedelius, C., Veling, H., Aarts, H., & Hoijtink, H. (2018). Presentation: One for all or some for all? S4 (Small Sample Size Solutions), Utrecht, the Netherlands. [Slides]
2014-2017
Klaassen, F. (2017). Presentation: Staying in the loop: Prior probabilities, Bayes factor, posterior probabilities. Perspectives on Scientific Error, Tilburg, the Netherlands. [Slides]
Klaassen, F. (2017). Presentation: Staying in the loop: Prior probabilities, Bayes factor, posterior probabilities. IMPS, Z{"u}rich, Switzerland. [Slides]
Klaassen, F., Hoijtink, H. & Gu, X. (2016). Poster: The power of informative hypotheses. ISBA World meeting, Sardinia, Italy.
Klaassen, F., Zedelius, C., Veling, H., Aarts, H., & Hoijtink, H. (2016). Poster: Sequential updating of Bayes factors for within subject analysis. IOPS Summer conference, Enschede, the Netherlands. [Poster]
Klaassen, F., Hoijtink, H. and Gu, X. (2015). Presentation: The power of informative hypotheses. CSI (Constrained Statistical Inference), Otterlo, the Netherlands. [Slides]
Janssen, E., Soeters, N., Duijzer, C., Francot, R., Klaassen, F., Kroonenberg, M., van der Laan, N., van de Pol, J., & Leseman, P. (2014). Presentation: Using online measures to examine the effects of scaffolding and feedback on learning. Earli SIG 6&7, Rotterdam, the Netherlands.