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Master thesis

Conceptually correct and algorithmically efficient pruning and allocation procedures in statistical LUCC modelling

François-Rémi Mazy 1
1 STEEP - Sustainability transition, environment, economy and local policy
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann
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https://hal.inria.fr/hal-02302133
Contributor : François-Rémi Mazy <>
Submitted on : Tuesday, October 1, 2019 - 10:30:09 AM
Last modification on : Friday, July 3, 2020 - 4:50:22 PM

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François-Rémi Mazy. Conceptually correct and algorithmically efficient pruning and allocation procedures in statistical LUCC modelling. Applications [stat.AP]. 2019. ⟨hal-02302133⟩

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