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Loann DESBOULETS

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Personal Details

First Name:Loann
Middle Name:
Last Name:Desboulets
Suffix:
RePEc Short-ID:pde1144
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Affiliation

École d'Économie d'Aix-Marseille
Aix-Marseille Université

Aix-en-Provence/Marseille, France
http://www.amse-aixmarseille.fr/
RePEc:edi:amseafr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Loann David Denis Desboulets, 2020. "Sparse Manifolds Graphical Modelling with Missing Values: An Application to the Commodity Futures Market," Working Papers hal-02986982, HAL.
  2. Loann D. Desboulets & Costin Protopopescu, 2018. "Local Linear Dependence Measure for Functionally Correlated Variables," AMSE Working Papers 1853, Aix-Marseille School of Economics, France.
  3. Loann David Denis Desboulets, 2018. "A Review on Variable Selection in Regression Analysis," Post-Print hal-01954386, HAL.
  4. Loann D. Desboulets, 2017. "Co-movements in Market Prices and Fundamentals: A Semiparametric Multivariate GARCH Approach," AMSE Working Papers 1851, Aix-Marseille School of Economics, France.

Articles

  1. Loann David Denis Desboulets, 2018. "A Review on Variable Selection in Regression Analysis," Econometrics, MDPI, vol. 6(4), pages 1-27, November.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Loann David Denis Desboulets, 2018. "A Review on Variable Selection in Regression Analysis," Post-Print hal-01954386, HAL.

    Cited by:

    1. Eduardo Correia & Rodrigo Calili & José Francisco Pessanha & Maria Fatima Almeida, 2023. "Definition of Regulatory Targets for Electricity Non-Technical Losses: Proposition of an Automatic Model-Selection Technique for Panel Data Regressions," Energies, MDPI, vol. 16(6), pages 1-22, March.
    2. Rahi Jain & Wei Xu, 2021. "HDSI: High dimensional selection with interactions algorithm on feature selection and testing," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-17, February.
    3. Fakhri J. Hasanov & Muhammad Javid & Frederick L. Joutz, 2022. "Saudi Non-Oil Exports before and after COVID-19: Historical Impacts of Determinants and Scenario Analysis," Sustainability, MDPI, vol. 14(4), pages 1-38, February.
    4. Berndt Jesenko & Christian Schlögl, 2021. "The effect of web of science subject categories on clustering: the case of data-driven methods in business and economic sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6785-6801, August.
    5. Gao Wang & Abhishek Sarkar & Peter Carbonetto & Matthew Stephens, 2020. "A simple new approach to variable selection in regression, with application to genetic fine mapping," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(5), pages 1273-1300, December.
    6. Marcin Błażejowski & Jacek Kwiatkowski & Paweł Kufel, 2020. "BACE and BMA Variable Selection and Forecasting for UK Money Demand and Inflation with Gretl," Econometrics, MDPI, vol. 8(2), pages 1-29, May.
    7. Aneiros, Germán & Novo, Silvia & Vieu, Philippe, 2022. "Variable selection in functional regression models: A review," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    8. Fakhri J. Hasanov & Elchin Suleymanov & Heyran Aliyeva & Hezi Eynalov & Sa'd Shannak, 2022. "What Drives the Agricultural Growth in Azerbaijan? Insights from Autometrics with Super Saturation," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 70(3), pages 147-174.
    9. Iztok Podbregar & Goran Šimić & Mirjana Radovanović & Sanja Filipović & Polona Šprajc, 2020. "International Energy Security Risk Index—Analysis of the Methodological Settings," Energies, MDPI, vol. 13(12), pages 1-15, June.
    10. Gonzalo García-Donato & María Eugenia Castellanos & Alicia Quirós, 2021. "Bayesian Variable Selection with Applications in Health Sciences," Mathematics, MDPI, vol. 9(3), pages 1-16, January.
    11. Kimia Keshanian & Daniel Zantedeschi & Kaushik Dutta, 2022. "Features Selection as a Nash-Bargaining Solution: Applications in Online Advertising and Information Systems," INFORMS Journal on Computing, INFORMS, vol. 34(5), pages 2485-2501, September.
    12. Robert Giel & Alicja Dąbrowska, 2021. "Estimating Time Spent at the Waste Collection Point by A Garbage Truck with A Multiple Regression Model," Sustainability, MDPI, vol. 13(8), pages 1-14, April.

Articles

  1. Loann David Denis Desboulets, 2018. "A Review on Variable Selection in Regression Analysis," Econometrics, MDPI, vol. 6(4), pages 1-27, November.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 2018-12-24 2018-12-24. Author is listed
  2. NEP-BIG: Big Data (1) 2020-11-23. Author is listed
  3. NEP-ETS: Econometric Time Series (1) 2018-12-24. Author is listed
  4. NEP-RMG: Risk Management (1) 2020-11-23. Author is listed

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