Sinan Yıldırım
Sinan Yıldırım
Other namesSinan Yildirim, Sinan Yldrm, S Yildirim
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Cited by
Cited by
An online expectation–maximization algorithm for changepoint models
S Yildirim, SS Singh, A Doucet
Journal of Computational and Graphical Statistics 22 (4), 906-926, 2013
Parameter estimation in hidden Markov models with intractable likelihoods using sequential Monte Carlo
S Yıldırım, SS Singh, T Dean, A Jasra
Journal of Computational and Graphical Statistics 24 (3), 846-865, 2015
Bayesian tracking and parameter learning for non-linear multiple target tracking models
L Jiang, SS Singh, S Yıldırım
IEEE Transactions on Signal Processing 63 (21), 5733-5745, 2015
Exact MCMC with differentially private moves: revisiting the penalty algorithm in a data privacy framework
S Yıldırım, B Ermiş
Statistics and Computing 29, 947-963, 2019
On the utility of Metropolis-Hastings with asymmetric acceptance ratio
C Andrieu, A Doucet, S Yıldırım, N Chopin
arXiv preprint arXiv:1803.09527, 2018
MCMC shape sampling for image segmentation with nonparametric shape priors
E Erdil, S Yildirim, M Cetin, T Tasdizen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
A Bayesian deconvolution approach for receiver function analysis
S Yildirim, AT Cemgil, M Aktar, Y Ozakin, A Ertuzun
IEEE Transactions on Geoscience and Remote Sensing 48 (12), 4151-4163, 2010
Differentially private accelerated optimization algorithms
N Kuru, S İlker Birbil, M Gurbuzbalaban, S Yildirim
SIAM Journal on Optimization 32 (2), 795-821, 2022
Calibrating the Gaussian multi-target tracking model
S Yildirim, L Jiang, SS Singh, TA Dean
Statistics and Computing 25 (3), 595-608, 2015
Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors
S Yıldırım, MB Kurutmaz, M Barsbey, U Şimşekli, AT Cemgil
IEEE Journal of Selected Topics in Signal Processing 15 (3), 560-573, 2020
A real-world application of Markov chain Monte Carlo method for Bayesian trajectory control of a robotic manipulator
VT Aghaei, A Ağababaoğlu, S Yıldırım, A Onat
ISA transactions 125, 580-590, 2022
A Markov chain Monte Carlo algorithm for Bayesian policy search
V Tavakol Aghaei, A Onat, S Yıldırım
Systems Science & Control Engineering 6 (1), 438-455, 2018
A hybrid method for deconvolution of Bernoulli-Gaussian processes
S Yildirim, AT Cemgil, AB Ertuzun
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
Estimation of time-varying AR SαS processes using Gibbs sampling
D Gençağa, EE Kuruoğlu, A Ertüzün, S Yıldırım
Signal Processing 88 (10), 2564-2572, 2008
Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm
VT Aghaei, A Ağababaoğlu, B Bawo, P Naseradinmousavi, S Yıldırım, ...
Applied Energy 341, 121108, 2023
Supply Curves in Electricity Markets: A Framework for Dynamic Modeling and Monte Carlo Forecasting
S Yıldırım, M Khalafi, T Güzel, H Satık, M Yılmaz
IEEE Transactions on Power Systems, 2022
Machine learning‐based load distribution and balancing in heterogeneous database management systems
A Abdennebi, A Elakaş, F Taşyaran, E Öztürk, K Kaya, S Yıldırım
Concurrency and Computation: Practice and Experience 34 (4), e6641, 2022
Metropolis-Hastings with Averaged Acceptance Ratios
C Andrieu, S Yıldırım, A Doucet, N Chopin
arXiv preprint arXiv:2101.01253, 2020
Statistic selection and MCMC for differentially private Bayesian estimation
B Alparslan, S Yıldırım
Statistics and Computing 32 (5), 1-19, 2022
Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors
E Erdil, S Yildirim, T Tasdizen, M Cetin
IEEE Transactions on Image Processing 28 (11), 5702-5715, 2019
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