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ORCIDTohid Ardeshiri
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2020 – today
- 2022
[j8]Jan Svanberg
, Tohid Ardeshiri, Isak Samsten, Peter Öhman, Presha E. Neidermeyer, Tarek Rana, Natalia Semenova, Mats Danielson:
Corporate governance performance ratings with machine learning. Intell. Syst. Account. Finance Manag. 29(1): 50-68 (2022)- 2020
- [j7]Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill:
Nonasymptotic Gaussian Approximation for Inference With Stable Noise. IEEE Trans. Inf. Theory 66(8): 4966-4991 (2020)
2010 – 2019
- 2018
- [j6]Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson:
Skew-t Filter and Smoother With Improved Covariance Matrix Approximation. IEEE Trans. Signal Process. 66(21): 5618-5633 (2018) - [c11]Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill:
Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise. ISIT 2018: 1086-1090 - [i13]Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill:
Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version]. CoRR abs/1802.10065 (2018) - 2017
- [j5]Rafael Rui, Tohid Ardeshiri, Henri Nurminen, Alexandre S. Bazanella, Fredrik Gustafsson:
State Estimation for a Class of Piecewise Affine State-Space Models. IEEE Signal Process. Lett. 24(1): 61-65 (2017) - [c10]Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill:
Simulated convergence rates with application to an intractable α-stable inference problem. CAMSAP 2017: 1-5 - [c9]Bashar I. Ahmad, Tohid Ardeshiri, Pat Langdon, Simon J. Godsill, Thomas Popham:
Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study. FUSION 2017: 1-7 - [c8]Tohid Ardeshiri, Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill:
Efficient bridging-based destination inference in object tracking. ICASSP 2017: 4406-4410 - [c7]Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill:
Convergence results for tractable inference in α-stable stochastic processes. DSP 2017: 1-5 - [i12]Michael Roth, Tohid Ardeshiri, Emre Özkan, Fredrik Gustafsson:
Robust Bayesian Filtering and Smoothing Using Student's t Distribution. CoRR abs/1703.02428 (2017) - 2016
- [j4]Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto:
Maximum entropy properties of discrete-time first-order stable spline kernel. Autom. 66: 34-38 (2016) - [c6]Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill:
A central limit theorem with application to inference in \(\alpha\)-stable regression models. NIPS Time Series Workshop 2016: 70-82 - [i11]Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson:
Skew-t inference with improved covariance matrix approximation. CoRR abs/1603.06216 (2016) - [i10]Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson:
Skew-t Filter and Smoother with Improved Covariance Matrix Approximation. CoRR abs/1608.07435 (2016) - [i9]Rafael Rui, Tohid Ardeshiri, Henri Nurminen, Alexandre S. Bazanella, Fredrik Gustafsson:
State Estimation for Piecewise Affine State-Space Models. CoRR abs/1609.00365 (2016) - [i8]Rafael Rui, Tohid Ardeshiri, Alexandre S. Bazanella:
Identification of Piecewise Affine State-Space Models via Expectation Maximization. CoRR abs/1609.09789 (2016) - [i7]Henri Nurminen, Tohid Ardeshiri:
Approximate Recursive Identification of Autoregressive Systems with Skewed Innovations. CoRR abs/1612.03761 (2016) - 2015
- [b1]Tohid Ardeshiri:
Analytical Approximations for Bayesian Inference. Linköping University, Sweden, 2015 - [j3]Tohid Ardeshiri, Karl Granström, Emre Özkan, Umut Orguner:
Greedy Reduction Algorithms for Mixtures of Exponential Family. IEEE Signal Process. Lett. 22(6): 676-680 (2015) - [j2]Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson:
Robust Inference for State-Space Models with Skewed Measurement Noise. IEEE Signal Process. Lett. 22(11): 1898-1902 (2015) - [j1]Tohid Ardeshiri, Emre Özkan, Umut Orguner, Fredrik Gustafsson:
Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances. IEEE Signal Process. Lett. 22(12): 2450-2454 (2015) - [c5]Tohid Ardeshiri, Tianshi Chen:
Maximum entropy property of discrete-time stable spline kernel. ICASSP 2015: 3676-3680 - [c4]Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson:
A NLOS-robust TOA positioning filter based on a skew-t measurement noise model. IPIN 2015: 1-7 - [i6]Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson:
Robust Inference for State-Space Models with Skewed Measurement Noise. CoRR abs/1503.06606 (2015) - [i5]Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto:
Maximum entropy properties of discrete-time first-order stable spline kernel. CoRR abs/1504.03253 (2015) - [i4]Tohid Ardeshiri, Umut Orguner, Emre Özkan:
Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence. CoRR abs/1508.05514 (2015) - [i3]Tohid Ardeshiri, Umut Orguner, Fredrik Gustafsson:
Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family. CoRR abs/1510.01225 (2015) - 2014
- [i2]Tohid Ardeshiri, Tianshi Chen:
Maximum Entropy Property of Discrete-time First Order Stable Spline Kernel. CoRR abs/1411.0283 (2014) - [i1]Tohid Ardeshiri, Emre Özkan, Umut Orguner:
Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances. CoRR abs/1412.5307 (2014) - 2013
- [c3]Tohid Ardeshiri, Emre Özkan:
An adaptive PHD filter for tracking with unknown sensor characteristics. FUSION 2013: 1736-1743 - 2012
- [c2]Tohid Ardeshiri, Umut Orguner, Christian Lundquist, Thomas B. Schön:
On mixture reduction for multiple target tracking. FUSION 2012: 692-699 - 2011
- [c1]Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schön, Michael Felsberg:
Bicycle tracking using ellipse extraction. FUSION 2011: 1-8
Coauthor Index
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