Daniel Racek

@dracek.bsky.social

Head of Data Science for Conflict Research @ CCEW PhD in Statistics from LMU

🆕 Capturing the Spatio-Temporal Diffusion Effects of Armed Conflict: A Non-parametric Smoothing Approach 💡@dracek.bsky.social‬ Thurner and Kauermann develop a statistical model to capture the spatio-temporal diffusion effects of armed conflict (@lmumuenchen.bsky.social‬) doi.org/10.1093/jrss...

Capturing the spatio-temporal diffusion effects of armed conflict: A nonparametric smoothing approach

Abstract. Facilitated by advancements in conflict event databases, studies have moved towards predicting armed conflict and understanding its determinants

doi.org

📢 NEW PAPER ALERT Our paper “Capturing the spatio-temporal diffusion effects of armed conflict: A non-parametric smoothing approach” got published in the Journal of Royal Statistical Society Series A. Many thanks to my co-authors P. Thurner & G. Kauermann. academic.oup.com/jrsssa/advan... [1/5]

Capturing the spatio-temporal diffusion effects of armed conflict: A nonparametric smoothing approach

Abstract. Facilitated by advancements in conflict event databases, studies have moved towards predicting armed conflict and understanding its determinants

academic.oup.com