Saïd Maanan
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Selected Publications

2026

Multiscale Asymptotic Normality in Quantile Regression: Hilbert Matrices and Polynomial Designs
Maanan, Dermoune & Ghini
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@unpublished{maanan:hal-04996324, title = {{Multiscale Asymptotic Normality in Quantile Regression: Hilbert Matrices and Polynomial Designs}}, author = {Sa{\"\i}d Maanan and Azzouz Dermoune and Ahmed El Ghini}, url = {https://hal.science/hal-04996324}, year = {2026}, month = {jan} }

2025

Renormalized Maximum Likelihood for Spatial Lag Models
Maanan
Networks and Spatial Economics
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@article{Maanan2025, author = {Sa{\"\i}d Maanan}, journal = {Networks and Spatial Economics}, title = {Renormalized Maximum Likelihood for Spatial Lag Models}, year = {2025}, month = {nov}, doi = {10.1007/s11067-025-09715-w}, publisher = {Springer Science and Business Media LLC} }
Smoothed Quantile Estimation: A Unified Framework Interpolating to the Mean
Maanan, Dermoune & Ghini
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@unpublished{maanan:hal-05336326, title = {{Smoothed Quantile Estimation: A Unified Framework Interpolating to the Mean}}, author = {Sa{\"\i}d Maanan and Azzouz Dermoune and Ahmed El Ghini}, url = {https://hal.science/hal-05336326}, year = {2025}, month = {dec} }

2018

Maximum Entropy Expectation-Maximization Algorithm for Fitting Latent-Variable Graphical Models to Multivariate Time Series
Maanan, Dumitrescu & Giurcăneanu
Entropy
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@article{Maanan2018, author = {Sa{\"\i}d Maanan and Bogdan Dumitrescu and Ciprian Giurc{\u a}neanu}, journal = {Entropy}, title = {Maximum Entropy Expectation-Maximization Algorithm for Fitting Latent-Variable Graphical Models to Multivariate Time Series}, year = {2018}, month = {jan}, number = {1}, pages = {76}, volume = {20}, doi = {10.3390/e20010076}, publisher = {MDPI AG} }

2017

Conditional independence graphs for multivariate autoregressive models by convex optimization: Efficient algorithms
Maanan, Dumitrescu & Giurcăneanu
Signal Processing
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@article{Maanan2017, author = {Sa{\"\i}d Maanan and Bogdan Dumitrescu and Ciprian Doru Giurc{\u a}neanu}, journal = {Signal Processing}, title = {Conditional independence graphs for multivariate autoregressive models by convex optimization: Efficient algorithms}, year = {2017}, month = {apr}, pages = {122--134}, volume = {133}, doi = {10.1016/j.sigpro.2016.10.023}, publisher = {Elsevier BV} }

2016

Renormalized maximum likelihood for multivariate autoregressive models
Maanan, Dumitrescu & Giurcaneanu
2016 24th European Signal Processing Conference (EUSIPCO)
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@inproceedings{Maanan2016, author = {Sa{\"\i}d Maanan and Bogdan Dumitrescu and Ciprian Doru Giurcaneanu}, booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)}, title = {Renormalized maximum likelihood for multivariate autoregressive models}, year = {2016}, month = {aug}, pages = {150--154}, publisher = {IEEE}, doi = {10.1109/eusipco.2016.7760228} }
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