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1

Kutyniok, Gitta. Shearlets: Multiscale Analysis for Multivariate Data. Birkhäuser Boston, 2012.

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2

Starck, J. L. Image processing and data analysis: The multiscale approach. Cambridge University Press, 1998.

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3

Fan, Jinghong. Multiscale analysis of deformation and failure of materials. Wiley, 2011.

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4

Harring, Jeffrey, Laura M. Stapleton, and Susan Natasha Beretvas. Advances in multilevel modeling for educational research: Addressing practical issues found in real-world applications. Information Age Publishing, Inc., 2016.

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5

1963-, Kunoth Angela, and SpringerLink (Online service), eds. Multiscale, Nonlinear and Adaptive Approximation: Dedicated to Wolfgang Dahmen on the Occasion of his 60th Birthday. Springer-Verlag Berlin Heidelberg, 2009.

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6

Borst, René de. Multiscale methods in computational mechanics: Progress and accomplishments. Springer, 2011.

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7

Shearlets Multiscale Analysis For Multivariate Data. Birkh User, 2012.

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8

Kutyniok, Gitta, and Demetrio Labate. Shearlets: Multiscale Analysis for Multivariate Data. Springer, 2012.

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9

Lopes, Hedibert, and Nicholas Polson. Analysis of economic data with multiscale spatio-temporal models. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.12.

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This article discusses the use of Bayesian multiscale spatio-temporal models for the analysis of economic data. It demonstrates the utility of a general modelling approach for multiscale analysis of spatio-temporal processes with areal data observations in an economic study of agricultural production in the Brazilian state of Espìrito Santo during the period 1990–2005. The article first describes multiscale factorizations for spatial processes before presenting an exploratory multiscale data analysis and explaining the motivation for multiscale spatio-temporal models. It then examines the temp
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10

Murtagh, Fionn. Image Processing and Data Analysis: The Multiscale Approach. Cambridge University Press, 2011.

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11

Murtagh, Fionn. Image Processing and Data Analysis: The Multiscale Approach. Cambridge University Press, 2009.

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12

Fan, Jinghong. Multiscale Analysis of Deformation and Failure of Materials. Wiley & Sons, Incorporated, John, 2011.

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13

Fan, Jinghong. Multiscale Analysis of Deformation and Failure of Materials. Wiley & Sons, Limited, John, 2010.

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14

Fan, Jinghong. Multiscale Analysis of Deformation and Failure of Materials. Wiley & Sons, Incorporated, John, 2011.

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15

Fan, Jinghong. Multiscale Analysis of Deformation and Failure of Materials. Wiley & Sons, Incorporated, John, 2010.

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16

Fan, Jinghong. Multiscale Analysis of Deformation and Failure of Materials. Wiley & Sons, Incorporated, John, 2010.

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17

Szczotok, A. Parametric and Non-Parametric Methods of Data Analysis at Multiscale Modeling. Trans Tech Publications, Limited, 2015.

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18

Szczotok, Agnieszka, Norbert Radek, and Jacek Pietraszek. Parametric and Non-Parametric Methods of Data Analysis at Multiscale Modeling. Trans Tech Publications, Limited, 2015.

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19

Szczotok, Agnieszka, Jacek Pietraszek, and Norbert Radek. Parametric and Non-Parametric Methods of Data Analysis at Multiscale Modeling. Trans Tech Publications Ltd, 2015. http://dx.doi.org/10.4028/b-x0nubb.

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20

Gpu Solutions To Multiscale Problems In Science And Engineering. Springer, 2012.

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21

Ramm, Ekkehard, and René de Borst. Multiscale Methods in Computational Mechanics: Progress and Accomplishments. Springer, 2010.

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22

Ramm, Ekkehard, and René de Borst. Multiscale Methods in Computational Mechanics: Progress and Accomplishments. Springer London, Limited, 2012.

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23

Multiscale modeling: From atoms to devices. Taylor & Francis, 2010.

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24

Derosa, Pedro, and Tahir Cagin. Multiscale Modeling: From Atoms to Devices. Taylor & Francis Group, 2010.

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25

Derosa, Pedro, and Tahir Cagin. Multiscale Modeling: From Atoms to Devices. Taylor & Francis Group, 2017.

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26

Delgado Martín, Jordi, Andrea Muñoz-Ibáñez, and Ismael Himar Falcón-Suárez. 6th International Workshop on Rock Physics: A Coruña, Spain 13 -17 June 2022: Book of Abstracts. 2022nd ed. Servizo de Publicacións da UDC, 2022. http://dx.doi.org/10.17979/spudc.000005.

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[Abstract] The 6th International Workshop on Rock Physics (6IWRP) was held A Coruña, Spain, between 13th and 17th of June, 2022. This meeting follows the track of the five successful encounters held in Golden (USA, 2011), Southampton (UK, 2013), Perth (Australia, 2015), Trondheim (Norway, 2017) and Hong Kong (China, 2019). The aim of the workshop was to bring together experiences allowing to illustrate, discuss and exchange recent advances in the wide realm of rock physics, including theoretical developments, in situ and laboratory scale experiments as well as digital analysis. While rock phys
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27

Perdigão, Rui A. P. Unfolding the Manifold Flavours of Causality. Meteoceanics Institute, 2024. http://dx.doi.org/10.46337/mdsc.1804.

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The present work provides a contribution to an overarching cross-methodological causality investigation, encompassing a methodological synergy among physical, analytical, information-theoretic and systems intelligence approaches to causal discovery and quantification in complex system dynamics. These efforts methodologically lead to the emergence of a broader causal framework, valid not only in classical recurrence-based dynamical systems, but also on the generalized information physics of non-ergodic coevolutionary spatiotemporal complexity. This study begins with a comprehensive cross-examin
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