Majd Mozafari Majd

Research activity per year

Education/Academic qualification

Tekn. toht., sähkötekniikka

Award Date: 31 Dec 2024

Dipl.ins., tietoliikennetekniikka

Award Date: 27 Dec 2017

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4 Conference article in proceedings
1 Article
1 Doctoral Thesis

Statistically Robust and Sparsity Promoting Inference and Estimation for Large-Scale Data
Mozafari Majd, E., 2024, Aalto University. 218 p.
Research output: Thesis › Doctoral Thesis › Collection of Articles

Open Access
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data
Mozafari-Majd, E. & Koivunen, V., 2022, In: IEEE Transactions on Signal Processing. 70, p. 5351-5365 15 p.
Research output: Contribution to journal › Article › Scientific › peer-review
1 Citation (Scopus)
Robust variable selection and distributed inference using t-based estimators for large-scale data
Mozafari-Majd, E. & Koivunen, V., 2020, 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings. European Association For Signal and Image Processing, p. 2453-2457 5 p. 9287773. (European Signal Processing Conference).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
File
2 Citations (Scopus)

119 Downloads (Pure)
Robust, Sparse and Scalable Inference Using Bootstrap and Variable Selection Fusion
Mozafari-Majd, E. & Koivunen, V., 1 Dec 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings. IEEE, p. 271-275 5 p. 9022472
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Scalable Statistical Inference Using Distributed Bootstrapping and Iterative ℓ ₁ -Norm Minimization
Mozafari-Majd, E. & Koivunen, V., 2018, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE, Vol. 2018-October. p. 769-773 5 p. 8645543. (Conference Record of the Asilomar Conference on Signals Systems and Computers).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Majd Mozafari Majd

Personal profile

Education/Academic qualification

Fingerprint

Research output

Statistically Robust and Sparsity Promoting Inference and Estimation for Large-Scale Data

Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data

Robust variable selection and distributed inference using t-based estimators for large-scale data

Robust, Sparse and Scalable Inference Using Bootstrap and Variable Selection Fusion

Scalable Statistical Inference Using Distributed Bootstrapping and Iterative ℓ 1 -Norm Minimization

Scalable Statistical Inference Using Distributed Bootstrapping and Iterative ℓ ₁ -Norm Minimization