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The Art of Modelling Oscillations and Feedback across Biological Scales

• Authors : Gyllingberg, Linnéa;

Subjects: mathematical biology; mathematical modelling; oscillations

• Source: Uppsala Dissertations in Mathematics.

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Variance of entropy for testing time-varying regimes with an application to meme stocks

• Authors : Shternshis, Andrey, 1995; Mazzarisi, Piero

Subjects: Market efficiency; Meme stocks; Multinomial distribution

• Source: Decisions in Economics and Finance.

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Mathematics teachers' familiarity with standards and their instructional practices, 1995 and 1999.

Subjects: Mathematics teachers -- Statistics. -- Rating of -- United States; Mathematics teachers -- Statistics. -- Training of -- United States

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An investigation of student engagement and non-engagement with mathematics and statistics support services

• Authors : Gokhool, Farhana;

Subjects: Mathematics; Statistics; Student Engagement

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Subspace clustering sur données incomplètes

• Authors : Agliz, Yasmine; Audigier, Vincent; Niang, Ndèye ...

Subjects: clustering; Missing at Random data; subspace clusteringBordeaux; France

• Source: 55èmes Journées de Statistiquehttps://hal.science/hal-0452909455èmes Journées de Statistique, SFDS, May 2024, Bordeaux, France

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Hidden But Essential Recipes for Successful Gaussian Process Metamodeling to Support Uncertainty Quantification in Numerical Simulation

• Authors : Marrel, Amandine; Iooss, Bertrand;

Subjects: [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Trieste; Italy

• Source: SIAM Conference on Uncertainty Quantification (UQ24) ; https://cea.hal.science/cea-04506392 ; SIAM Conference on Uncertainty Quantification (UQ24), Feb 2024, Trieste, Italy

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Gaussian process regression: new hyperparameter estimation algorithm for more reliable prediction

• Authors : Iooss, Bertrand; Marrel, Amandine;

Subjects: [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Trieste; Italy

• Source: SIAM Conference on Uncertainty Quantification (UQ24) ; https://cea.hal.science/cea-04506405 ; SIAM Conference on Uncertainty Quantification (UQ24), Feb 2024, Trieste, Italy

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Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure

• Authors : Zou, Xinying; Perlaza, Samir, M.; Esnaola, Iñaki ...

Subjects: Supervised Machine Learning; Worst-Case; Generalization GapVancouverVancouver, Canada

• Source: AAAI 2024 - Conference on Artificial Intelligence ; https://inria.hal.science/hal-04353957 ; AAAI 2024 - Conference on Artificial Intelligence, Feb 2024, Vancouver, Canada

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Old and New Perspectives on Optimal Scaling

• Authors : Abdi, Hervé; Di Ciaccio, Agostino; Saporta, Gilbert ...

Subjects: optimal scaling; correspondence analysis; encoding

• Source: Analysis of Categorical Data from Historical Perspectives ; https://cnam.hal.science/hal-04421777 ; Eric J. Beh; Rosaria Lombardo; Jose G. Clavel. Analysis of Categorical Data from Historical

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Predicting missing Energy Performance Certificates: Spatial interpolation of mixture distributions ; Prédire les DPE manquants : Interpolation spatiale de distributions de mélanges

• Authors : Grossouvre, Marc; Rullière, Didier; Villot, Jonathan ...

Subjects: Climate governance; Energy efficiency; Multi-scale processes

• Source: ISSN: 2666-5468 ; Energy and IA ; https://hal.science/hal-03276127 ; Energy and IA, In press, 16, pp.100339. ⟨10.1016/j.egyai.2024.100339⟩.

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