About
Hi, I'm a Postdoc at the Department of Mathematics at VU Amsterdam, in the lab of Stéphanie van der Pas. Before this, I was a PhD student at the Korteweg-de Vries Institute for Mathematics of the University of Amsterdam supervised by Joris Mooij, and part of the Mercury Machine Learning Lab setup by Booking.com, where I was supervised by Onno Zoeter.
I'm broadly interested in statistical methods for drawing causal conclusions from data, and how causal assumptions and causal reasoning can be leveraged for statistical inference.
I'm broadly interested in statistical methods for drawing causal conclusions from data, and how causal assumptions and causal reasoning can be leveraged for statistical inference.
Preprints
Publications
Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions
Philip Boeken, Onno Zoeter and Joris M. Mooij
Advances in Neural Information Processing Systems 38
(NeurIPS 2025, poster), 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
Sourbh Bhadane, Joris M. Mooij, Philip Boeken, and Onno Zoeter
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift
Philip Boeken, Onno Zoeter, Joris M. Mooij
Correcting for selection bias and missing response in regression using privileged information
Philip Boeken, Noud de Kroon, Mathijs de Jong, Joris M. Mooij, Onno Zoeter
A Bayesian Nonparametric Conditional Two-sample Test with an Application to Local Causal Discovery
Philip Boeken, Joris M. Mooij
Talks
Amsterdam Causality Meeting
February 29, 2024
A Markov Property for Sample Paths of Stochastic Processes
Other
Notes on conditional expectations and distributions
November 27, 2023
[pdf]
Contact
Email:
p [dot] a [dot] boeken [at] vu [dot] nl
Visiting address:
De Boelelaan 1111
Amsterdam, NL
Room 9A-01
Amsterdam, NL
Room 9A-01