Tohid Ardeshiri

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 18

Top Topics

Piecewise Affine

Central Limit Theorem

Bayesian Inference

Stochastic Process

Top Venues

IEEE Signal Process. Lett.

Publications

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) (2022)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Nonasymptotic Gaussian Approximation for Inference With Stable Noise. IEEE Trans. Inf. Theory 66 (8) (2020)
Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
Skew-t Filter and Smoother With Improved Covariance Matrix Approximation. IEEE Trans. Signal Process. 66 (21) (2018)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version]. CoRR (2018)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise. ISIT (2018)
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) (2017)
Michael Roth, Tohid Ardeshiri, Emre Özkan, Fredrik Gustafsson
Robust Bayesian Filtering and Smoothing Using Student's t Distribution. CoRR (2017)
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)
Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill
Convergence results for tractable inference in α-stable stochastic processes. DSP (2017)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Simulated convergence rates with application to an intractable α-stable inference problem. CAMSAP (2017)
Tohid Ardeshiri, Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill
Efficient bridging-based destination inference in object tracking. ICASSP (2017)
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 (2016)
Rafael Rui, Tohid Ardeshiri, Alexandre S. Bazanella
Identification of Piecewise Affine State-Space Models via Expectation Maximization. CoRR (2016)
Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
Skew-t inference with improved covariance matrix approximation. CoRR (2016)
Rafael Rui, Tohid Ardeshiri, Henri Nurminen, Alexandre S. Bazanella, Fredrik Gustafsson
State Estimation for Piecewise Affine State-Space Models. CoRR (2016)
Henri Nurminen, Tohid Ardeshiri
Approximate Recursive Identification of Autoregressive Systems with Skewed Innovations. CoRR (2016)
Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
Skew-t Filter and Smoother with Improved Covariance Matrix Approximation. CoRR (2016)
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)
Tohid Ardeshiri, Tianshi Chen
Maximum entropy property of discrete-time stable spline kernel. ICASSP (2015)
Tohid Ardeshiri, Emre Özkan, Umut Orguner, Fredrik Gustafsson
Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances. IEEE Signal Process. Lett. 22 (12) (2015)
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 (2015)
Tohid Ardeshiri, Umut Orguner, Emre Özkan
Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence. CoRR (2015)
Tohid Ardeshiri, Karl Granström, Emre Özkan, Umut Orguner
Greedy Reduction Algorithms for Mixtures of Exponential Family. IEEE Signal Process. Lett. 22 (6) (2015)
Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
A NLOS-robust TOA positioning filter based on a skew-t measurement noise model. IPIN (2015)
Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
Robust Inference for State-Space Models with Skewed Measurement Noise. CoRR (2015)
Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
Robust Inference for State-Space Models with Skewed Measurement Noise. IEEE Signal Process. Lett. 22 (11) (2015)
Tohid Ardeshiri, Umut Orguner, Fredrik Gustafsson
Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family. CoRR (2015)
Tohid Ardeshiri, Emre Özkan, Umut Orguner
Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances. CoRR (2014)
Tohid Ardeshiri, Tianshi Chen
Maximum Entropy Property of Discrete-time First Order Stable Spline Kernel. CoRR (2014)
Tohid Ardeshiri, Emre Özkan
An adaptive PHD filter for tracking with unknown sensor characteristics. FUSION (2013)
Tohid Ardeshiri, Umut Orguner, Christian Lundquist, Thomas B. Schön
On mixture reduction for multiple target tracking. FUSION (2012)
Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schön, Michael Felsberg
Bicycle tracking using ellipse extraction. FUSION (2011)