Relevant bibliographies by topics / Multivariate depth

Contents

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

Academic literature on the topic 'Multivariate depth'

Author: Grafiati
Published: 28 September 2024

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Journal articles on the topic "Multivariate depth"

1

Bern and Eppstein. "Multivariate Regression Depth." Discrete & Computational Geometry 28, no. 1 (2002): 1–17. http://dx.doi.org/10.1007/s00454-001-0092-1.

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Claeskens, Gerda, Mia Hubert, Leen Slaets, and Kaveh Vakili. "Multivariate Functional Halfspace Depth." Journal of the American Statistical Association 109, no. 505 (2014): 411–23. http://dx.doi.org/10.1080/01621459.2013.856795.

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Vencálek, Ondřej. "Depth-based Classification for Multivariate Data." Austrian Journal of Statistics 46, no. 3-4 (2017): 117–28. http://dx.doi.org/10.17713/ajs.v46i3-4.677.

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Concept of data depth provides one possible approach to the analysis of multivariate data.Among other it can be also used for classification purposes. The present paper is an overview of the research in the field of depth-based classification for multivariate data.It provides a short summary of current state of knowledge in the field of depth-based classification followed by detailed discussion of four main directions in the depth-based classification, namely semiparametric depth-based classifiers, maximal depth classifier, (maximal depth) classifiers which use local depth functions and finall
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Ieva, Francesca, and Anna M. Paganoni. "Depth Measures for Multivariate Functional Data." Communications in Statistics - Theory and Methods 42, no. 7 (2013): 1265–76. http://dx.doi.org/10.1080/03610926.2012.746368.

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Cascos, Ignacio, and Ilya Molchanov. "Multivariate risks and depth-trimmed regions." Finance and Stochastics 11, no. 3 (2007): 373–97. http://dx.doi.org/10.1007/s00780-007-0043-7.

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Tat, Samaneh, and Mohammad Reza Faridrohani. "Predicting depth value of the future depth-based multivariate record." Communications for Statistical Applications and Methods 30, no. 5 (2023): 453–65. http://dx.doi.org/10.29220/csam.2023.30.5.453.

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Muthukrishnan, R., and Surabhi S. Nair. "Computing Robust Measure of Location on Multivariate Statistical Data Using Euclidean Depth Procedures." Indian Journal Of Science And Technology 16, no. 26 (2023): 1927–34. http://dx.doi.org/10.17485/ijst/v16i26.847.

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He, Xuming, and Gang Wang. "Convergence of depth contours for multivariate datasets." Annals of Statistics 25, no. 2 (1997): 495–504. http://dx.doi.org/10.1214/aos/1031833661.

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Tsao, Min. "An empirical depth function for multivariate data." Statistics & Probability Letters 83, no. 1 (2013): 213–18. http://dx.doi.org/10.1016/j.spl.2012.09.007.

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Romanazzi, Mario. "Data depth, random simplices and multivariate dispersion." Statistics & Probability Letters 79, no. 12 (2009): 1473–79. http://dx.doi.org/10.1016/j.spl.2009.03.022.

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Dissertations / Theses on the topic "Multivariate depth"

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Beltran, Luis. "NONPARAMETRIC MULTIVARIATE STATISTICAL PROCESS CONTROL USING PRINCIPAL COMPONENT ANALYSIS AND SIMPLICIAL DEPTH." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4080.

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Although there has been progress in the area of Multivariate Statistical Process Control (MSPC), there are numerous limitations as well as unanswered questions with the current techniques. MSPC charts plotting Hotelling's T2 require the normality assumption for the joint distribution among the process variables, which is not feasible in many industrial settings, hence the motivation to investigate nonparametric techniques for multivariate data in quality control. In this research, the goal will be to create a systematic distribution-free approach by extending current developments and focusing
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Lee, Joanna L. S. "Time-of-flight secondary ion mass spectrometry - fundamental issues for quantitative measurements and multivariate data analysis." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:f0e4b8ff-f563-429e-9e71-9c277a5139c4.

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Time-of-flight secondary ion mass spectrometry (ToF-SIMS) is a powerful technique for the analysis of organic surfaces and interfaces for many innovative technologies. However, despite recent developments, there are still many issues and challenges hindering the robust, validated use of ToF-SIMS for quantitative measurement. These include: the lack of metrology and fundamental understanding for the use of novel cluster primary ion beams such as C60<sup>n+</sup> and Ar<sub>2000</sub><sup>+</sup>; the need for validated and robust measurement protocols for difficult samples, such as those with s
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Armaut, Elisabeth. "Estimation d'ensembles de niveau d'une fonction de profondeur pour des données fonctionnelles. Applications au clustering et à la théorie du risque." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5021.

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Les fonctions de profondeur statistiques jouent un rôle fondamental dans l'analyse et la caractérisation des structures de données complexes. Les profondeurs fournissent une mesure de centralité ou d'excentricité pour une observation individuelle ou pour l'ensemble des données, ce qui aide à comprendre leurs positions relatives et leurs distributions sous-jacentes. Les concepts relatifs à la profondeur, tels qu'ils sont présents dans la littérature, trouvent leur origine dans la notion de profondeur de Tukey, également désignée sous le nom de profondeur médiane. Cette notion a été introduite p
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Baffoe, Nana Ama Appiaa. "Diagnostic Tools for Forecast Ensembles." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1522964882574611.

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Cantu, Alma. "Proposition de modes de visualisation et d'interaction innovants pour les grandes masses de données et/ou les données structurées complexes en prenant en compte les limitations perceptives des utilisateurs." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2018. http://www.theses.fr/2018IMTA0068/document.

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Suite à l’amélioration des outils de capture et de stockage des données, ces dernières années ont vu les quantités de données à traiter croître énormément. De nombreux travaux, allant du traitement automatique à la visualisation d’information, ont alors été mis en place, mais certains domaines sont encore trop spécifiques pour en profiter. C’est le cas du Renseignement d’Origine ÉlectroMagnétique (ROEM). Ce domaine ne fait pas uniquement face à de grandes quantités de données mais doit aussi gérer des données et des usages complexes ainsi que des populations d’utilisateurs ayant de moins en mo
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Dogra, Jody A. Busch Kenneth W. Busch Marianna A. "Multivariate analyses of near-infrared and UV spectral data." Waco, Tex. : Baylor University, 2009. http://hdl.handle.net/2104/5347.

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Carvalho, Aline Roberta de. "Atributos do solo associados às variações na vegetação em fragmento de cerrado, Assis, SP." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/11/11140/tde-09022009-152200/.

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O objetivo do presente trabalho é analisar as correlações existentes entre variáveis ambientais e a distribuição das espécies arbóreas. O estudo foi realizado em uma parcela permanente de 320 x 320 m, um fragmento de cerradão, situado na Estação Ecológica de Assis, Assis, SP. Coletaram-se amostras em cinco pontos de uma pedosequência, realizando-se análises químicas, físicas do solo e micromorfologicas. A vegetação foi amostrada em áreas de 314m² em torno de cada ponto de coleta do solo. Foram considerados todos os indivíduos vivos e com DAP (diâmetro à altura do peito) igual ou superior a 4,8
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Salawu, Emmanuel Oluwatobi. "Spatiotemporal Variations in Coexisting Multiple Causes of Death and the Associated Factors." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/6108.

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The study and practice of epidemiology and public health benefit from the use of mortality statistics, such as mortality rates, which are frequently used as key health indicators. Furthermore, multiple causes of death (MCOD) data offer important information that could not possibly be gathered from other mortality data. This study aimed to describe the interrelationships between various causes of death in the United States in order to improve the understanding of the coexistence of MCOD and thereby improve public health and enhance longevity. The social support theory was used as a framework, a
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Chih-TingHsieh and 謝芝庭. "Multivariate Process Capability Index Based on Data Depth Concept." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/2cw2p6.

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碩士<br>國立成功大學<br>統計學系<br>105<br>Generally, an industrial product has more than one quality characteristic. In order to establish performance measures for evaluating the capability of a multivariate manufacturing process, several multivariate process capability indices have been developed in the past. Most of the proposed in the literature MPCIs are defined under an assumption, that process quality characteristics are normally distributed. However, this assumption may not hold in practice In this research, based on the data depth concept, we proposed two multivariate process capability indices,
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Kong, Linglong. "On Multivariate Quantile Regression: Directional Approach and Application with Growth Charts." Phd thesis, 2009. http://hdl.handle.net/10048/462.

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Thesis (Ph. D.)--University of Alberta, 2009.<br>Title from pdf file main screen (viewed on July 21, 2009). "A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Statistics, Department of Mathematical and Statistical Sciences, University of Alberta." Includes bibliographical references.
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Books on the topic "Multivariate depth"

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Mosler, Karl. Multivariate Dispersion, Central Regions, and Depth. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0045-8.

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Y, Liu Regina, Serfling Robert J, and Souvaine Diane L, eds. Data depth: Robust multivariate analysis, computational geometry, and applications. American Mathematical Society, 2006.

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Kosiorowski, Daniel. Statystyczne funkcje głębi w odpornej analizie ekonomicznej: The statistical functions of depth in robust economic analysis. Wydawnictwo Uniwersytetu Ekonomicznego w Krakowie, 2012.

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Multivariate Dispersion, Central Regions, and Depth. Springer, 2002.

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Mosler, Karl. Multivariate Dispersion, Central Regions, and Depth. Springer, 2011.

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Mosler, Karl. Multivariate Dispersion, Central Regions, and Depth: The Lift Zonoid Approach. Springer London, Limited, 2012.

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Baillo, Amparo, Antonio Cuevas, and Ricardo Fraiman. Classification methods for functional data. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.10.

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This article reviews the literature concerning supervised and unsupervised classification of functional data. It first explains the meaning of unsupervised classification vs. supervised classification before discussing the supervised classification problem in the infinite-dimensional case, showing that its formal statement generally coincides with that of discriminant analysis in the classical multivariate case. It then considers the optimal classifier and plug-in rules, empirical risk and empirical minimization rules, linear discrimination rules, the k nearest neighbor (k-NN) method, and kern
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Müller, Wolfgang C., and Paul W. Thurner, eds. The Politics of Nuclear Energy in Western Europe. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198747031.001.0001.

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This volume investigates nuclear energy policies in Western Europe over the entire post-war period, giving special attention to the two most recent decades. It focuses on the interplay between voters’ attitudes, anti-nuclear movements, party competition, and coalition formation. Based on a mixed-methods approach using structured case studies, qualitative comparison, and quantitative analyses, it shows that the nature of party competition under given institutional contexts is a key driver for policy change. Part I introduces the practical and theoretical relevance of the topic. It outlines the
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Sobczyk, Eugeniusz Jacek. Uciążliwość eksploatacji złóż węgla kamiennego wynikająca z warunków geologicznych i górniczych. Instytut Gospodarki Surowcami Mineralnymi i Energią PAN, 2022. http://dx.doi.org/10.33223/onermin/0222.

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Hard coal mining is characterised by features that pose numerous challenges to its current operations and cause strategic and operational problems in planning its development. The most important of these include the high capital intensity of mining investment projects and the dynamically changing environment in which the sector operates, while the long-term role of the sector is dependent on factors originating at both national and international level. At the same time, the conditions for coal mining are deteriorating, the resources more readily available in active mines are being exhausted, m
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Book chapters on the topic "Multivariate depth"

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Mosler, Karl. "Data depth." In Multivariate Dispersion, Central Regions, and Depth. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0045-8_4.

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Mosler, Karl. "Depth of hyperplanes." In Multivariate Dispersion, Central Regions, and Depth. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0045-8_6.

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Serfling, Robert. "Depth functions in nonparametric multivariate inference." In DIMACS Series in Discrete Mathematics and Theoretical Computer Science. American Mathematical Society, 2006. http://dx.doi.org/10.1090/dimacs/072/01.

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Fraiman, Ricardo, Regina Y. Liu, and Jean Meloche. "Multivariate density estimation by probing depth." In Institute of Mathematical Statistics Lecture Notes - Monograph Series. Institute of Mathematical Statistics, 1997. http://dx.doi.org/10.1214/lnms/1215454155.

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Mosler, Karl. "Introduction." In Multivariate Dispersion, Central Regions, and Depth. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0045-8_1.

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Mosler, Karl. "Zonoids and lift zonoids." In Multivariate Dispersion, Central Regions, and Depth. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0045-8_2.

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Mosler, Karl. "Central regions." In Multivariate Dispersion, Central Regions, and Depth. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0045-8_3.

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Dykerhoff, Rainer. "Inference based on data depth by Rainer Dyckerhoff." In Multivariate Dispersion, Central Regions, and Depth. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0045-8_5.

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Mosler, Karl. "Volume statistics." In Multivariate Dispersion, Central Regions, and Depth. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0045-8_7.

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Mosler, Karl. "Orderings and indices of dispersion." In Multivariate Dispersion, Central Regions, and Depth. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0045-8_8.

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Conference papers on the topic "Multivariate depth"

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Bern, Marshall, and David Eppstein. "Multivariate regression depth." In the sixteenth annual symposium. ACM Press, 2000. http://dx.doi.org/10.1145/336154.336218.

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Eduardo Miranda Cunha, Paulo, and Eduardo Filpo Ferreira da Silva. "Time To Depth Conversion By Multivariate Mapping." In 7th International Congress of the Brazilian Geophysical Society. European Association of Geoscientists & Engineers, 2001. http://dx.doi.org/10.3997/2214-4609-pdb.217.269.

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Rongen, Guus, and Ben Throssell. "Schematizing Rainfall Events with Multivariate Depth-Duration Dependence." In 33rd European Safety and Reliability Conference. Research Publishing Services, 2023. http://dx.doi.org/10.3850/978-981-18-8071-1_p727-cd.

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Liu, Ce, Suryansh Kumar, Shuhang Gu, Radu Timofte, and Luc Van Gool. "Single Image Depth Prediction Made Better: A Multivariate Gaussian Take." In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.01664.

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Yao, Yuan, and Norbert J. Pelc. "Multivariate Gaussian model based Cramér-Rao lower bound evaluation of the in-depth PCXD." In SPIE Medical Imaging, edited by Christoph Hoeschen, Despina Kontos, and Thomas G. Flohr. SPIE, 2015. http://dx.doi.org/10.1117/12.2082111.

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Xiao, G., Y. Li, B. Jiang, X. Duan, and Y. Li. "Multivariate Constraints Time-Depth Conversion Method Based On Velocity Tomography and Application in Bohai K Oilfield." In 80th EAGE Conference and Exhibition 2018. EAGE Publications BV, 2018. http://dx.doi.org/10.3997/2214-4609.201800993.

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Vasconcelos, Israel L. C., and André L. L. Aquino. "Multivariate Modeling to handle Urban Air Pollution Data observed trough Vehicular Sensor Networks." In Simpósio Brasileiro de Computação Ubíqua e Pervasiva. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/sbcup.2021.16011.

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This work presents an interdisciplinary assessment that looks in-depth at the tracking of air quality in urban environments. The proposed application takes advantage of Vehicle Sensor Networks (VSN) by embedding sensor nodes to public transportation, spreading the sampling activity through different places visited during the route. We perform environmental modeling based on real data collected from the city of São Paulo, considering the multivariate spatial behavior of five different air pollutants from fossil-fueled vehicles (CO, O3, PM10, NO2 and SO2) simultaneously while it also varies in t
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Raghupathi, Laks, David Randell, Kevin Ewans, and Philip Jonathan. "Non-Stationary Estimation of Joint Design Criteria With a Multivariate Conditional Extremes Approach." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54355.

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Understanding the interaction of ocean environments with fixed and floating structures is critical to the design of offshore and coastal facilities. Structural response to environmental loading is typically the combined effect of multiple environmental parameters over a period of time. Knowledge of the tails of marginal and joint distributions of these parameters (e.g. storm peak significant wave height and associated current) as a function of covariates (e.g. dominant wave and current directions) is central to the estimation of extreme structural response, and hence of structural reliability
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Mercelis, Peter, Marc Dufour, Ariel Alvarez Gebelin, et al. "Generation of Multivariate Wave Conditions as Input for a Probabilistic Level III Breakwater Design." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-24143.

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For an offshore LNG project situated in the estuary of the Rio de la Plata nearby Montevideo, Uruguay, it was required to verify the deterministic design of the protective rubble mound breakwater and the jetty infrastructure with a level three probabilistic design. Therefore, in first instance extreme site conditions were required both in front of and behind the breakwater. To obtain these conditions, the first step is to extrapolate the offshore variables in order to translate them to the breakwater location. All the possible combinations of extreme wind, water level and waves are quantified
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Speed, Jonathon. "Demystifying chemometrics: how multivariate analysis allows spectroscopy to be used to solve most analytical problems." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/pkrn4677.

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Chemists have been using spectroscopic techniques for decades if not hundreds of years. The large range of different physical transitions nuclei and molecules can undertake when irradiate with specific wavelengths of light means that almost every property of interest can and has been studied by spectroscopic means. However, the need to interpret the raw spectra means only specialists are able to interpret the fundamental information present in a spectrum, turning spectroscopy into a tool for experts. The advent of chemometrics meant that spectrometers could be changed into concentration meters
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Reports on the topic "Multivariate depth"

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Rivera, Dion Arledge, and Mary Kathleen Alam. Use of step scan FT-IR and multivariate curve resolution to understand aging of propellant binder as a function of depth into the polymer material. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/918316.

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Sánchez-Páez, David A. Effects of income inequality on COVID-19 infections and deaths during the first wave of the pandemic: Evidence from European countries. Verlag der Österreichischen Akademie der Wissenschaften, 2021. http://dx.doi.org/10.1553/populationyearbook2022.res1.1.

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Evidence from research on infectious diseases suggests that income inequality is related to higher rates of infection and death in disadvantaged population groups. Our objective is to examine whether there was an association between income inequality and the numbers of cases and deaths during the first wave of the COVID- 19 pandemic in European countries. We determined the duration of the first wave by first smoothing the number of daily cases, and then using a LOESS regression to fit the smoothed trend. Next, we estimated quasi-Poisson regressions. Results from the bivariate models suggest th
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