About
Hi, I'm a third year PhD student at the Korteweg-de Vries Institute for Mathematics of the University of Amsterdam, supervised by Joris Mooij.
I’m also part of the Mercury Machine Learning Lab, a collaboration between the TU Delft, University of Amsterdam, and Booking.com, where I'm supervised by Onno Zoeter.
I'm broadly interested in statistical methods for drawing causal conclusions from data, and in how causal assumptions and causal reasoning can be leveraged to improve statistical methods.
I'm broadly interested in statistical methods for drawing causal conclusions from data, and in how causal assumptions and causal reasoning can be leveraged to improve statistical methods.
Publications
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] uva [dot] nl
Visiting address:
Science Park 107
Amsterdam, NL
Room F3.30
Amsterdam, NL
Room F3.30