| FACULTY OF ENGINEERING AND NATURAL SCIENCES

Sinan YıldırımFaculty of Engineering and Natural SciencesFaculty Member(216) 483 9583sinanyildirim@sabanciuniv.edu

Personal Web

http://people.sabanciuniv.edu/~sinanyildirim/

Jobs

Faculty Member

Areas of Interest

Bayesian Statistics, Monte Carlo methods

Alparslan, Barış and Yıldırım, Sinan (2022) "Statistic selection and MCMC for differentially private Bayesian estimation", Statistics and Computing, Vol.32, No.5 (SCI)

Tavakol Aghaei, Vahid and Ağababaoğlu, Arda and Yıldırım, Sinan and Onat, Ahmet (2022) "A real-world application of Markov chain Monte Carlo method for Bayesian trajectory control of a robotic manipulator", ISA Transactions, Vol.125, 580-590 (SCI)

Kuru, Nurdan and Birbil, Ş. İlker and Gürbüzbalaban, Mert and Yıldırım, Sinan (2022) "Differentially private accelerated optimization algorithms", SIAM Journal on Optimization, Vol.32, No.2, 795-821 (SCI)

Abdennebi, Anes and Elakaş, Anıl and Taşyaran, Fatih and Öztürk, Erdinç and Kaya, Kamer and Yıldırım, Sinan (2022) "Machine learning-based load distribution and balancing in heterogeneous database management systems", Concurrency and Computation: Practice and Experience, Vol.34, No.4 (SCI)

Yıldırım, Sinan and Kurutmaz, M. Burak and Barsbey, Melih and Şimşekli, Umut and Cemgil, A. Taylan (2021) "Bayesian allocation model: marginal likelihood-based model selection for count tensors", IEEE Journal of Selected Topics in Signal Processing, Vol.15, No.3, 560-573 (SCI)

Tavakol Aghaei, Vahid and Onat, Ahmet and Yıldırım, Sinan (2018) "A Markov chain Monte Carlo algorithm for Bayesian policy search", Systems Science and Control Engineering, Vol.6, No.1, 438-455 (ESCI)

Journals:

Bayesian tracking and parameter learning for non-linear multiple target tracking models, Lan Jiang, Sumeetpal S. Singh, Sinan Yıldırım, IEEE Transactions on Signal Processing, 2015

Parameter Estimation in Hidden Markov Models with Intractable Likelihoods Using Sequential Monte Carlo, S. Yıldırım, S. Singh, T. Dean, A. Jasra, Journal of Computational and Graphical Statistics, 2015

Calibrating the Gaussian Multi-target Tracking Model, S.Yıldırım, L. Jiang, S. S. Singh, and T. A. Dean, Statistics and Computing, 2015

An Online Expectation-Maximisation Algorithm for Changepoint Models, S. Yıldırım, S. S. Singh, and A. Doucet, Journal of Computational and Graphical Statistics, 2013

A Bayesian Deconvolution Approach for Receiver Function Analysis, S. Yıldırım, A. T. Cemgil, M. Aktar, Y. Özakın, and A. Ertüzün, IEEE Transactions in Geoscience and Remote Sensing, 2010

Estimation of Time Varying AR SαS Processes using Gibbs Sampling, D. Gençağa, E. E. Kuruoğlu, A. Ertüzün, and S. Yıldırım, Signal Processing, 2008

Conference

A New Particle Filtering algorithm for Multiple Target Tracking with Non-linear Observations, L. Jiang, S. S. Singh, S.Yıldırım, 17’th International Conference on Information Fusion, 2014 (to appear)

A Monte Carlo Expectation Maximisation Algorithm for Parameter Estimation in Multiple Target Tracking, S. Yıldırım, L. Jiang, S. S. Singh, and T. Dean, 15’th International Conference on Information Fusion, 2012

An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models, S. Yıldırım, A. T. Cemgil, and S. S. Singh, SYSID, 2012

A Hybrid Method for Deconvolution of Bernoulli-Gaussian Processes, S. Yıldırım, A. T. Cemgil, and A. Ertüzün, IEEE ICASSP, 2009

Theses

Maximum Likelihood Parameter Estimation in Time Series Models Using Sequential Monte Carlo, PhD Thesis, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, UK, 2013

Bayesian Methods for Deconvolution of Sparse Processes, MSc Thesis , Department of Electrical and Electronics Engineering, Boğaziçi University, Turkey, 2009