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Sinan Yıldırım
Sinan Yıldırım
Другие именаSinan Yildirim, S Yldrm, S Yildirim
Dr, Sabancı University
Подтвержден адрес электронной почты в домене sabanciuniv.edu - Главная страница
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Процитировано
Процитировано
Год
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
542013
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
382015
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
322015
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
252019
On the utility of Metropolis-Hastings with asymmetric acceptance ratio
C Andrieu, A Doucet, S Yıldırım, N Chopin
arXiv preprint arXiv:1803.09527, 2018
242018
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
222016
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
222010
Calibrating the Gaussian multi-target tracking model
S Yildirim, L Jiang, SS Singh, TA Dean
Statistics and Computing 25 (3), 595-608, 2015
17*2015
Differentially private accelerated optimization algorithms
N Kuru, S İlker Birbil, M Gurbuzbalaban, S Yildirim
SIAM Journal on Optimization 32 (2), 795-821, 2022
162022
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
15*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
122022
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
122018
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
92023
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
92009
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
92008
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 38 (4), 3056-3069, 2022
72022
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
72022
Scalable Monte Carlo inference for state-space models
S Yıldırım, C Andrieu, A Doucet
arXiv preprint arXiv:1809.02527, 2018
72018
An online expectation-maximisation algorithm for nonnegative matrix factorisation models
S Yildirim, AT Cemgil, SS Singh
IFAC Proceedings Volumes 45 (16), 494-499, 2012
72012
Metropolis-Hastings with averaged acceptance ratios
C Andrieu, S Yıldırım, A Doucet, N Chopin
arXiv preprint arXiv:2101.01253, 2020
62020
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