Bektas, Alperen

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Bektas, Alperen; Piana, Valentino; Schumann, René (2021). A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model Springer Nature Business & Economics, 1(6) Springer Nature 10.1007/s43546-021-00083-4

Bektas, Alperen; Schumann, René (2021). Using Mobility Profiles for Synthetic Population Generation In: Ahrweiler, Petra; Neumann, Martin (eds.) Advances in Social Simulation. Proceedings of the 15th Social Simulation Conference: 23–27 September 2019. Springer Proceedings in Complexity (pp. 207-219). Springer 10.1007/978-3-030-61503-1_20

Bektas, Alperen; Schumann, René (22 September 2019). Using Mobility Profiles for Synthetic Population Generation In: Social Simulation Conference (SSC). Mainz Germany. 23-27. September 2019.

Bektas, Alperen (14 June 2019). How to Optimize Gower Distance Weights for the k-Medoids Clustering Algorithm to Obtain Mobility Profiles of the Swiss Population In: Swiss Conference on Data Science (SDS) (pp. 51-56). IEEE 10.1109/SDS.2019.000-8

Bektas, Alperen; Nguyen, Khoa; Piana, Valentino; Schumann, René (June 2018). People-centric policies for decarbonization: Testing psycho-socio-economic approaches by an agent-based model of heterogeneous mobility demand In: 24th Annual Conference on Computing in Economics and Finance. Milan, Italy. June 19-21, 2018.

Bektas, Alperen; Nguyen, Khoa; Schumann, René (April 2018). Can Agent-Based Computational Economics Mimic Neoclassical Demand Curve? In: Fifth International Symposium in Computational Economics and Finance (ISCEF). Paris, France. 12-14 April 2018.

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