| Hit-and-run enables efficient weight generation for simulation-based multiple criteria decision analysis T Tervonen, G van Valkenhoef, N Baştürk, D Postmus European Journal of Operational Research 224 (3), 552-559, 2013 | 154 | 2013 |
| A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood D Ardia, N Baştürk, L Hoogerheide, HK Van Dijk Computational Statistics & Data Analysis 56 (11), 3398-3414, 2012 | 57 | 2012 |
| Genome-wide analysis of macrosatellite repeat copy number variation in worldwide populations: evidence for differences and commonalities in size distributions and size restrictions M Schaap, RJLF Lemmers, R Maassen, PJ van der Vliet, LF Hoogerheide, ... BMC genomics 14, 1-12, 2013 | 54 | 2013 |
| Posterior‐predictive evidence on US inflation using extended New Keynesian Phillips curve models with non‐filtered data N Baştürk, C Çakmakli, SP Ceyhan, HK Van Dijk Journal of Applied Econometrics 29 (7), 1164-1182, 2014 | 32* | 2014 |
| Bayesian analysis of instrumental variable models: Acceptance-rejection within Direct Monte Carlo A Zellner, T Ando, N Baştürk, L Hoogerheide, HK van Dijk Econometric Reviews 33 (1-4), 3-35, 2014 | 32* | 2014 |
| Posterior‐Predictive Evidence on US Inflation using Extended New Keynesian Phillips Curve Models with Non‐Filtered Data N Baştürk, C Çakmakli, SP Ceyhan, HK Van Dijk Journal of Applied Econometrics 29 (7), 1164-1182, 2014 | 28 | 2014 |
| Forecast density combinations of dynamic models and data driven portfolio strategies N Baştürk, A Borowska, S Grassi, L Hoogerheide, HK van Dijk Journal of Econometrics 210 (1), 170-186, 2019 | 27 | 2019 |
| Structural differences in economic growth: an endogenous clustering approach N Baştürk, R Paap, D van Dijk Applied Economics 44 (1), 119-134, 2012 | 16* | 2012 |
| Bayesian analysis of boundary and near-boundary evidence in econometric models with reduced rank N Baştürk, L Hoogerheide, HK Van Dijk | 14 | 2017 |
| On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14 N BaŞtürk, C Çakmaklı, SP Ceyhan, HK Dijk Œconomia. History, Methodology, Philosophy, 381-447, 2014 | 14 | 2014 |
| Estimation of flexible fuzzy GARCH models for conditional density estimation RJ Almeida, N Baştürk, U Kaymak, J Sousa Information Sciences 267, 252-266, 2014 | 14 | 2014 |
| A multi-covariate semi-parametric conditional volatility model using probabilistic fuzzy systems RJ Almeida, N Basturk, U Kaymak, V Milea 2012 IEEE Conference on Computational Intelligence for Financial Engineering …, 2012 | 13 | 2012 |
| The R Package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference HKD Nalan Baştürk, Stefano Grassi, Lennart Hoogerheide, Anne Opschoor Journal of Statistical Software 29 (1), 2017 | 11* | 2017 |
| Parallelization experience with four canonical econometric models using ParMitISEM N Baştürk, S Grassi, L Hoogerheide, HK Van Dijk Econometrics 4 (1), 11, 2016 | 9 | 2016 |
| Multivariate Density Estimation by Neural Networks DEW Peerlings, JA van den Brakel, N Baştürk, MJH Puts IEEE Transactions on Neural Networks and Learning Systems, 2022 | 8 | 2022 |
| Historical developments in Bayesian econometrics after Cowles Foundation monographs 10, 14 N Basturk, C Cakmakli, P Ceyhan, HK Van Dijk Tinbergen Institute Discussion Paper 13-191/III, 2013 | 7 | 2013 |
| Posterior-predictive evidence on US inflation using Phillips Curve models with non-filtered time series N Basturk, C Cakmakli, P Ceyhan, HK van Dijk Tinbergen Institute Discussion Paper 13-011/III, 2012 | 7 | 2012 |
| Intraday value-at-risk estimation for directional change events and investment strategies RJ Almeida, N Baştürk, R Golan 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 6 | 2017 |
| Probabilistic fuzzy systems for seasonality analysis and multiple horizon forecasts RJ Almeida, N Baştürk, U Kaymak 2014 IEEE Conference on Computational Intelligence for Financial Engineering …, 2014 | 6 | 2014 |
| Conditional density estimation using fuzzy GARCH models RJ Almeida, N Baştürk, U Kaymak, JM da Costa Sousa Synergies of Soft Computing and Statistics for Intelligent Data Analysis …, 2013 | 6 | 2013 |
Cem CakmakliKoç University在 ku.edu.tr 的电子邮件经过验证
