Sinan Yıldırım

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Journal

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

Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors, E. Erdil, S. Yıldırım, T. Taşdizen, M. Çetin, NIPS 2017 Workshop on Advances in Approximate Bayesian Inference, 2017

Bayesian Nonnegative Matrix Factorization as an Allocation Model, M. B. Kurutmaz, A. T. Cemgil, U. Şimşekli, S.Yıldırım, NIPS 2017 Workshop on Advances in Approximate Bayesian Inference, 2017

MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors, E. Erdil, S. Yıldırım, T. Taşdizen, M. Çetin, Computer Vision and Pattern Recognition (CVPR), 2016

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

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

Reports

On the utility of Metropolis-Hastings with asymmetric acceptance ratio, Christophe Andrieu, Arnaud Doucet, S. Yıldırım, Nicolas Chopin, in arXiv, 2018

On the Use of Penalty MCMC for Differential Privacy, S. Yıldırım, arxiv, 2016

In progress

Exact MCMC with differentially private moves, S. Yıldırım, Beyza Ermiş, submitted to Statistics and Computing, 2018

Scalable Monte Carlo inference in state-space models, S. Yıldırım, Christophe Andrieu, Arnaud Doucet, in preperation

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

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