Source: ISSN: 1220-5168 ; Romanian Astronomical Journal ; https://hal.science/hal-01519875 ; Romanian Astronomical Journal, 2016, 26 (1), pp.11-19 ; http://www.astro.ro/~roaj/.

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Academic Journal

Combining wavelets with statistical inference to map the mineralogical composition of pedological features from synchrotron X-ray diffraction data

Authors : Manté, Claude; Borschneck, Daniel; Mocuta, Cristian ...

Subjects: Clay translocation; Mineralogy; Filtering

Source: ISSN: 2523-3963.

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Dissertation/ Thesis

Sampling methods for statistical inference of non-linear inverse problems : spatial distribution of physico-chemical properties of the interstellar medium ; Méthodes d’échantillonnage pour l’inférence statistique de problèmes inverses non linéaires : distribution spatiale des propriétés physico-chimiques du milieu interstellaire

Authors : Palud, Pierre;

Subjects: Inverse problems; MCMC ALGORITHMS; Interstellar medium

Source: https://theses.hal.science/tel-04424965 ; Signal and Image Processing. Centrale Lille, 2023. English. ⟨NNT : ⟩.

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Dissertation/ Thesis

Sampling methods for statistical inference of non-linear inverse problems : spatial distribution of physico-chemical properties of the interstellar medium ; Méthodes d’échantillonnage pour l’inférence statistique de problèmes inverses non linéaires : distribution spatiale des propriétés physico-chimiques du milieu interstellaire

Authors : Palud, Pierre;

Subjects: Inverse problems; MCMC ALGORITHMS; Interstellar medium

Source: https://theses.hal.science/tel-04424965 ; Signal and Image Processing. Centrale Lille, 2023. English. ⟨NNT : ⟩.

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Conference

Pattern detection and characterization for astronomical data through probabilistic modelling and statistical inference

Authors : Stoica, Radu; Liu, Shuyan; Liivamägi, Lauri Juhan ...

Subjects: spatial Markov models; MCMC simulation; statistical Bayesian inferenceRio de Janeiro; Brazil

Source: the 60th ISI World Statistics Congress ; https://hal.science/hal-01519891 ; the 60th ISI World Statistics Congress, Jul 2015, Rio de Janeiro, Brazil ;

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Dissertation/ Thesis

Bayesian statistical inference and deep learning for primordial cosmology and cosmic acceleration ; Inférence bayésienne et apprentissage profond : application à la cosmologie primordiale et à la mesure de l'accélération cosmique

Authors : Kodi Ramanah, Doogesh;

Subjects: Cosmology; Large scale structure of the universe; Cosmic microwave background

Source: https://theses.hal.science/tel-02969186 ; Astrophysics [astro-ph]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS169⟩.

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Conference

High-dimensional variable clustering based on sub-asymptotic maxima of a weakly dependent random process

Authors : Boulin, Alexis; Bernardino, Elena, Di; Laloë, Thomas ...

Subjects: [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Lisbon; Portugal

Source: Proceedings of ICSDS 2023 ; ICSDS 2023 - IMS International Conference on Statistics and Data Science ; https://hal.science/hal-04397145 ; ICSDS 2023 - IMS International Conference on Statistics and

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Report

High-dimensional variable clustering based on sub-asymptotic maxima of a weakly dependent random process

Authors : Boulin, Alexis; Bernardino, Elena, Di; Laloë, Thomas ...

Subjects: Consistent estimation; Extreme value theory; High dimensional models

Source: https://hal.science/hal-03969058 ; 2023.

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Report

High-dimensional variable clustering based on sub-asymptotic maxima of a weakly dependent random process

Authors : Boulin, Alexis; Bernardino, Elena, Di; Laloë, Thomas ...

Subjects: Consistent estimation; Extreme value theory; High dimensional models

Source: https://hal.science/hal-03969058 ; 2023.

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Academic Journal

Nested leave-two-out cross-validation for the optimal crop yield model selection

Authors : Dinh, Thi Lan Anh; Aires, Filipe;

Subjects: [SDU]Sciences of the Universe [physics]

Source: ISSN: 1991-9603.

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نتائج البحث

فلترة النتائج

An integrative approach based on probabilistic modelling and statistical inference for morpho-statistical characterization of astronomical data

Combining wavelets with statistical inference to map the mineralogical composition of pedological features from synchrotron X-ray diffraction data

Pattern detection and characterization for astronomical data through probabilistic modelling and statistical inference

Bayesian statistical inference and deep learning for primordial cosmology and cosmic acceleration ; Inférence bayésienne et apprentissage profond : application à la cosmologie primordiale et à la mesure de l'accélération cosmique

High-dimensional variable clustering based on sub-asymptotic maxima of a weakly dependent random process

High-dimensional variable clustering based on sub-asymptotic maxima of a weakly dependent random process

High-dimensional variable clustering based on sub-asymptotic maxima of a weakly dependent random process

Nested leave-two-out cross-validation for the optimal crop yield model selection

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