Relevant bibliographies by topics / Statistical shape analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Statistical shape analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Statistical shape analysis"

1

Dean, David. "Statistical Shape Analysis." Journal of Human Evolution 38, no. 3 (2000): 455–57. http://dx.doi.org/10.1006/jhev.1999.0391.

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CHEN, YUFENG, MANDUN ZHANG, PENG LU, and YANGSHENG WANG. "DIFFERENTIAL SHAPE STATISTICAL ANALYSIS." International Journal of Wavelets, Multiresolution and Information Processing 05, no. 01 (2007): 145–57. http://dx.doi.org/10.1142/s0219691307001689.

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A novel statistical approach that involves differential shape is proposed to analyze contour segments. First, a moment-based algorithm to represent the differential contour segment in an efficient way is introduced. Then, a curvature mean-shift method is adopted to search for the salient features. An optimized function is also developed to segment a contour into parts based on its structural properties. Compared with some other methods used in CSS (Curvature Scale Space) and shock graphs, our method is more powerful for shape contour analysis, especially for the incomplete or occluded contours
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Nettel-Aguirre, Alberto. "NUCLEI SHAPE ANALYSIS, A STATISTICAL APPROACH." Image Analysis & Stereology 27, no. 1 (2011): 1. http://dx.doi.org/10.5566/ias.v27.p1-10.

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The method presented in our paper suggests the use of Functional Data Analysis (FDA) techniques in an attempt to characterise the nuclei of two types of cells: Cancer and non-cancer, based on their 2 dimensional profiles. The characteristics of the profile itself, as traced by its X and Y coordinates, their first and second derivatives, their variability and use in characterization are the main focus of this approach which is not constrained to star shaped nuclei. Findings: Principal components created from the coordinates relate to shape with significant differences between nuclei type. Chara
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Choi, Myung Hwan, Bon Yeol Koo, Je Wook Chae, and Jay Jung Kim. "Parametric Shape Modeling of Femurs Using Statistical Shape Analysis." Transactions of the Korean Society of Mechanical Engineers A 38, no. 10 (2014): 1139–45. http://dx.doi.org/10.3795/ksme-a.2014.38.10.1139.

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MARDIA, K. V., and I. L. DRYDEN. "The statistical analysis of shape data." Biometrika 76, no. 2 (1989): 271–81. http://dx.doi.org/10.1093/biomet/76.2.271.

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Pereira, Luis Marcelo. "Bioequivalence testing by statistical shape analysis." Journal of Pharmacokinetics and Pharmacodynamics 34, no. 4 (2007): 451–84. http://dx.doi.org/10.1007/s10928-007-9055-3.

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DeJong, Richard. "Statistical phase analysis and Lyon statistical mode shape functions." Journal of the Acoustical Society of America 148, no. 4 (2020): 2612. http://dx.doi.org/10.1121/1.5147258.

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Munsell, B. C., P. Dalal, and Song Wang. "Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study." IEEE Transactions on Pattern Analysis and Machine Intelligence 30, no. 11 (2008): 2023–39. http://dx.doi.org/10.1109/tpami.2007.70841.

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Kim, Jong-Geon, Yong-Seok Choi, and Nae-Young Lee. "Unbalanced ANOVA for Testing Shape Variability in Statistical Shape Analysis." Korean Journal of Applied Statistics 23, no. 2 (2010): 317–23. http://dx.doi.org/10.5351/kjas.2010.23.2.317.

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Heutinck, Pam, Paul Knoops, Naiara Rodriguez Florez, et al. "Statistical shape modelling for the analysis of head shape variations." Journal of Cranio-Maxillofacial Surgery 49, no. 6 (2021): 449–55. http://dx.doi.org/10.1016/j.jcms.2021.02.020.

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Dissertations / Theses on the topic "Statistical shape analysis"

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Alfahad, Mai F. A. M. "Statistical shape analysis of helices." Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/21675/.

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Consider a sequence of equally spaced points along a helix in three-dimensional space, which are observed subject to statistical noise. In this thesis, maximum likelihood (ML) method is developed to estimate the parameters of the helix. Statistical properties of the estimator are studied and comparisons are made to other estimators found in the literature. Methods are established here for the fitting of unkinked and kinked helices. For an unkinked helix an initial estimate of a helix axis is estimated by a modified eigen-decomposition or a method from the literature. Mardia-Holmes model can be
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Mei, Lin. "Statistical analysis of shape and deformation." Thesis, Imperial College London, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542932.

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Er, Fikret. "Robust methods in statistical shape analysis." Thesis, University of Leeds, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342394.

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Ruwanthi, Kolamunnage Dona Rasanga. "Statistical shape analysis for bilateral symmetry." Thesis, University of Leeds, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418233.

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Dryden, Ian Leslie. "The statistical analysis of shape data." Thesis, University of Leeds, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392774.

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Golland, Poilna 1971. "Statistical shape analysis of anatomical structures." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86776.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.<br>Includes bibliographical references (p. 123-130).<br>In this thesis, we develop a computational framework for image-based statistical analysis of anatomical shape in different populations. Applications of such analysis include understanding developmental and anatomical aspects of disorders when comparing patients vs. normal controls, studying morphological changes caused by aging, or even differences in normal anatomy, for example, differences between genders. Once a quantitat
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Xu, Yuan. "Statistical shape analysis for deep brain structures." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1581917061&sid=11&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Hyde, Andrew. "Statistical shape analysis of wheat root systems." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/52255/.

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The roots of a plant play a vital role in its growth and development, but due to practical difficulties of observing underground roots, the study of their shape has long been neglected. Recent advances in CT imaging technology have allowed for accurate non-destructive imaging of root systems in soil. This technique has formed the basis of the FutureRoots project. The main challenge with analysing the shape of a plant root system is that they have varying topological structure, so traditional shape analysis methods cannot be applied. In this thesis, we develop three approaches for analysing whe
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Strait, Justin. "Elastic Statistical Shape Analysis with Landmark Constraints." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1530966023478484.

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Lima, Verônica Maria Cadena. "Resistant fitting methods for statistical shape comparison." Thesis, University of Leeds, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275749.

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Books on the topic "Statistical shape analysis"

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V, Mardia K., ed. Statistical shape analysis. John Wiley & Sons, 1998.

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Dryden, Ian L., and Kanti V. Mardia. Statistical Shape Analysis, with Applications in R. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119072492.

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Brombin, Chiara, Luigi Salmaso, Lara Fontanella, Luigi Ippoliti, and Caterina Fusilli. Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26311-3.

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Huyse, Luc. Aerodynamic shape optimization of two-dimensional airfoils under uncertain conditions. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2001.

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Huyse, Luc. Free-form airfoil shape optimization under uncertainty using maximum expected value and second-order second-moment strategies. ICASE, NASA Langley Research Center, 2001.

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Huyse, Luc. Free-form airfoil shape optimization under uncertainty using maximum expected value and second-order second-moment strategies. ICASE, NASA Langley Research Center, 2001.

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Huyse, Luc. Free-form airfoil shape optimization under uncertainty using maximum expected value and second-order second-moment strategies. ICASE, NASA Langley Research Center, 2001.

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Huyse, Luc. Free-form airfoil shape optimization under uncertainty using maximum expected value and second-order second-moment strategies. ICASE, NASA Langley Research Center, 2001.

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Huyse, Luc. Free-form airfoil shape optimization under uncertainty using maximum expected value and second-order second-moment strategies. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2001.

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Krim, Hamid, and Anthony Yezzi, eds. Statistics and Analysis of Shapes. Birkhäuser Boston, 2006. http://dx.doi.org/10.1007/0-8176-4481-4.

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Book chapters on the topic "Statistical shape analysis"

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Dai, Mengyu, Sebastian Kurtek, Eric Klassen, and Anuj Srivastava. "Statistical Shape Analysis." In Computer Vision. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-03243-2_778-1.

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Srivastava, Anuj, Sebastian Kurtek, and Eric Klassen. "Statistical Shape Analysis." In Computer Vision. Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_778.

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Kent, John T., and Kanti V. Mardia. "Statistical Shape Methodology in Image Analysis." In Shape in Picture. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-03039-4_31.

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Srivastava, Anuj, and Eric P. Klassen. "Statistical Modeling on Nonlinear Manifolds." In Functional and Shape Data Analysis. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_7.

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Srivastava, Anuj, and Eric P. Klassen. "Statistical Modeling of Functional Data." In Functional and Shape Data Analysis. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_8.

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Srivastava, Anuj, and Eric P. Klassen. "Statistical Modeling of Planar Shapes." In Functional and Shape Data Analysis. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_9.

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Small, Christopher G. "Some Examples of Shape Analysis." In The Statistical Theory of Shape. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-4032-7_6.

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Brombin, Chiara, and Luigi Salmaso. "A Brief Overview on Statistical Shape Analysis." In Permutation Tests in Shape Analysis. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8163-8_1.

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del Castillo, Enrique. "Statistical Shape Analysis of Manufacturing Data." In Geometric Tolerances. Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-311-4_7.

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Hufnagel, Heike. "Current Methods in Statistical Shape Analysis." In A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis. Vieweg+Teubner Verlag, 2011. http://dx.doi.org/10.1007/978-3-8348-8600-2_2.

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Conference papers on the topic "Statistical shape analysis"

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Ishihara, Shigekazu, Keiko Ishihara, and Mitsuo Nagamachi. "Statistical Shape Analysis of Headlights." In 2011 International Conference on Biometrics and Kansei Engineering (ICBAKE). IEEE, 2011. http://dx.doi.org/10.1109/icbake.2011.52.

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Abboud, Michel, Abdesslam Benzinou, Kamal Nasreddine, and Mustapha Jazar. "Geodesics-based statistical shape analysis." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7025962.

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"FACIAL EXPRESSION RECOGNITION USING LOG-EUCLIDEAN STATISTICAL SHAPE MODELS." In Special Session on Shape Analysis and Deformable Modeling. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003867503510359.

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Aguirre, Mauricio, Marius Linguraru, Kostas Marias, Nicholas Ayache, Lutz-peter Nolte, and Miguel Gonzalez Ballester. "STATISTICAL SHAPE ANALYSIS VIA PRINCIPAL FACTOR ANALYSIS." In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2007. http://dx.doi.org/10.1109/isbi.2007.357077.

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Micheletti, Alessandra, Ermes Severgnini, Filippo Terragni, and Mauro Vasconi. "Statistical shape analysis applied to microlithography." In SPIE 31st International Symposium on Advanced Lithography, edited by Iraj Emami and Kenneth W. Tobin, Jr. SPIE, 2006. http://dx.doi.org/10.1117/12.653037.

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Rathi, Yogesh, Samuel Dambreville, and Allen Tannenbaum. "Statistical shape analysis using kernel PCA." In Electronic Imaging 2006, edited by Edward R. Dougherty, Jaakko T. Astola, Karen O. Egiazarian, Nasser M. Nasrabadi, and Syed A. Rizvi. SPIE, 2006. http://dx.doi.org/10.1117/12.641417.

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Abboud, Michel, Abdesslam Benzinou, Kamal Nasreddine, and Mustapha Jazar. "Robust statistical shape analysis based on the tangent shape space." In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7351459.

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Gorczowski, Kevin, Martin Styner, Ja-Yeon Jeong, et al. "Statistical Shape Analysis of Multi-Object Complexes." In 2007 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/cvpr.2007.383336.

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Nakatsu, M., X. H. Han, R. Kimura, and Y. W. Chen. "Statistical Shape Analysis for 3D Facial Images." In 2015 International Conference on Artificial Intelligence and Industrial Engineering. Atlantis Press, 2015. http://dx.doi.org/10.2991/aiie-15.2015.94.

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›z’mc’, Mehmet, Alejandro F. Frangi, Johan H. C. Reiber, and Boudewijn P. F. Lelieveldt. "Independent component analysis in statistical shape models." In Medical Imaging 2003, edited by Milan Sonka and J. Michael Fitzpatrick. SPIE, 2003. http://dx.doi.org/10.1117/12.481310.

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Reports on the topic "Statistical shape analysis"

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Srivastava, Anuj. A Statistical Theory for Shape Analysis of Curves and Surfaces with Applications in Image Analysis, Biometrics, Bioinformatics and Medical Diagnostics. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada532601.

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National report 2009-2019 - Rural NEET in Turkey. OST Action CA 18213: Rural NEET Youth Network: Modeling the risks underlying rural NEETs social exclusion, 2020. http://dx.doi.org/10.15847/cisrnyn.nrtr.2020.12.

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This report describes the situation of rural Youths Neither in Employment, nor in Education or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Turkey. To achieve this goal, the report portrays indicators of youth population, youth employment and unemployment, education and NEETs distribution. Since the urban/rural distinction is not clear in Turkey, the overtime change in the status of the Rural NEETs can-not be analysed.The adopted statistical procedures across the different selected dimensions involves descriptive longitudinal analysis, using graphical d
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National report 2009-2019 - Rural NEET in Italy. OST Action CA 18213: Rural NEET Youth Network: Modeling the risks underlying rural NEETs social exclusion, 2020. http://dx.doi.org/10.15847/cisrnyn.nrit.2020.12.

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This document describes the Italian situation of young people aged between 15 and 34 years who do not work, do not study and are not in training (NEET), from 2009 to 2019. The report analyses the following indicators of the youth population: employment; unem-ployment; education; and, distribution of NEETs. The criteria adopted to analyse data are mainly the degree of urbanisation, the age group and, where possible, gender. The statistical procedure adopted for the different dimensions selected is descriptive lon-gitudinal analysis and calculation of absolute and relative proportional changes b
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National reports 2009-2019 - Rural NEET across Europe (14 countries reports). OST Action CA 18213: Rural NEET Youth Network: Modeling the risks underlying rural NEETs social exclusion, 2020. http://dx.doi.org/10.15847/cisrnyn.nr14.2020.12.

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This report outlines in detail the situation of rural Youths Neither in Employment, nor in Education or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Bosnia and Herzegovina. To do this, the report utilised indicators of: you-th population; youth employment and unemployment; education; and, NEETs distribution. The characterisation of all indicators adopted the degree of urbanisation as a central cri-terion, enabling proportional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age su
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National report 2009-2019 - Rural NEET in Bosnia-Herzegovina. OST Action CA 18213: Rural NEET Youth Network: Modeling the risks underlying rural NEETs social exclusion, 2020. http://dx.doi.org/10.15847/cisrnyn.nrba.2020.12.

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This report outlines in detail the situation of rural Youths Neither in Employment, nor in Education or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Bosnia and Herzegovina. To do this, the report utilised indicators of: you-th population; youth employment and unemployment; education; and, NEETs distribution. The characterisation of all indicators adopted the degree of urbanisation as a central cri-terion, enabling proportional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age su
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Financial Stability Report - September 2015. Banco de la República, 2021. http://dx.doi.org/10.32468/rept-estab-fin.sem2.eng-2015.

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From this edition, the Financial Stability Report will have fewer pages with some changes in its structure. The purpose of this change is to present the most relevant facts of the financial system and their implications on the financial stability. This allows displaying the analysis more concisely and clearly, as it will focus on describing the evolution of the variables that have the greatest impact on the performance of the financial system, for estimating then the effect of a possible materialization of these risks on the financial health of the institutions. The changing dynamics of the ri
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