Joris Mooij

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Learning individual-level causal effects from observational data, such as inferring the most effective medication for a specific patient, is a problem of growing importance for policy makers. The most important aspect of inferring causal effects from observational data is the handling of confounders, factors that affect both an intervention and its outcome.(More)
Laser-based optical diagnostics, such as planar laser-induced fluorescence and, especially, Raman imaging, often require selective spectral filtering. We advocate the use of an imaging spectrograph with a broad entrance slit as a spectral filter for two-dimensional imaging. A spectrograph in this mode of operation produces output that is a convolution of(More)
This thesis is about algorithms and complex phenomena in networks. In the first part we study a network model of stochastic spiking neurons. We propose a modeling technique based on a mesoscopic description level and show the presence of a phase transition around a critical coupling strength. We derive a local plasticity which drives the network towards the(More)
Preface The supervision of my research leading to this thesis was in the hands of Prof. Dr. G.J. Heckman. Gert, thank you for all your assistance and especially for your never-ending enthusiasm to explain the subtleties of group theory. I would also like to thank the second and third correctors, Dr. P. Wormer and Dr. B. Souvignier respectively, for their(More)
Die aufgrund der Ergebnisse und Literaturangaben gezogenen Schlußfolgerungen lassen sich wie folgt zusammenfassen: Die Zunahme der Saat- und Bläßgänsezahlen in Westeuropa und damit auch am Niederrhein wird wahrscheinlich primär durch innereuropäische Verlagerungen von Winterquartieren und bessere Zählungen verursacht, wobei eine geringe Individuenzunahme(More)
This thesis is about algorithms and complex phenomena in networks. In the first part we study a network model of stochastic spiking neurons. We propose a modeling technique based on a mesoscopic description level and show the presence of a phase transition around a critical coupling strength. We derive a local plasticity rule which drives the network(More)
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