Nalan Bastürk

Education

• PhD Erasmus University Rotterdam (2007 — 2010)
• MPhil Erasmus University Rotterdam (2005 — 2007)
• BA Boğaziçi University (2000 — 2005)

Publications:

• Bastürk, N., Borowska, A., Grassi, S., Hoogerheide, L., & van Dijk, H. K. (2019). Forecast density combinations of dynamic models and data driven portfolio strategies. Journal of Econometrics, 210(1), 170-186.
• Bastürk, N., Hoogerheide, L., & van Dijk, H. K. (2017). Bayesian Analysis of Boundary and Near-Boundary Evidence in Econometric Models with Reduced Rank. Bayesian Analysis, 12(3), 879-917.
• Basturk, N., Grassi, S., Hoogerheide, L., Opschoor, A., & van Dijk, H. K. (2017). The R Package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference. Journal of Statistical Software, 79(1), 1-40.
• Bastürk, N., Grassi, S., Hoogerheide, L., & van Dijk, H. K. (2016). Parallelization experience with four canonical econometric models using ParMitISEM. Econometrics, 4(1), [11].
• Baştürk, N., Çakmak, C., Pinar Ceyhan, S., & van Dijk, H. K. (2014). Posterior-predictive evidence on US inflation using extended Phillips curve models with non-filtered data. Journal of Applied Econometrics, 29(7), 1164-1182.
• Zellner, A., Ando, T., Basturk, N., Hoogerheide, L., & van Dijk, H. K. (2014). BAYESIAN ANALYSIS OF INSTRUMENTAL VARIABLE MODELS: ACCEPTANCE-REJECTION WITHIN DIRECT MONTE CARLO. Econometric Reviews, 33(1-4), 3-35.
• Baştürk, N., Çakmak, C., Pinar Ceyhan, S., & van Dijk, H. K. (2014). On the rise of Bayesian econometrics after Cowles Foundation Monographs 10, 14. Oeconomia, 4(3), 381-447.
• Schaap, M., Lemmers, R. J. L. F., Maassen, R., van der Vliet, P. J., Hoogerheide, L. F., van Dijk, H. K., Basturk, N., de Knijff, P., & van der Maarel, S. M. (2013). Genome-wide analysis of macrosatellite repeat copy number variation in worldwide populations: evidence for differences and commonalities in size distributions and size restrictions. BMC Genomics, 14, [143].
• Bastürk, N., & De Almeida e Santos Nogueira, R. J. (2016). Time Varying Correlation Estimation Using Probabilistic Fuzzy Systems. In J. P. Carvalho, M-J. Lesot, U. Kaymak, S. Vieira, B. Bouchon-Meunier, & R. R. Yager (Eds.), Communications in Computer and Information Science: Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016. (Vol. 611, pp. 752-763). Springer. Communications in Computer and Information Science Vol. 611
• Baştürk, N., Çakmak, C., Pinar Ceyhan, S., & van Dijk, H. K. (2014). On the rise of Bayesian econometrics after Cowles Foundation Monographs 10, 14. Oeconomia, 4(3), 381-447.