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Dissertations / Theses on the topic 'Statistics as Topic – methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Arbogast, Patrick G. "Statistical methods for case-control studies /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/9598.

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2

Walls, Frederick George 1976. "Topic detection through statistical methods." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80244.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (p. 77-79).<br>by Frederick George Walls.<br>M.Eng.

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3

Dinh, Phillip V. "Some methods for the analysis of skewed data /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/9546.

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4

Forster, Jeri E. "Varying-coefficient models for longitudinal data : piecewise-continuous, flexible, mixed-effects models and methods for analyzing data with nonignorable dropout /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2006.

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Thesis (Ph.D. in Biostatistics) -- University of Colorado at Denver and Health Sciences Center, 2006.<br>Typescript. Includes bibliographical references (leaves 72-75). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;

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5

Wagner, Brandie D. "Permutation based microarray gene selection methods with covarience adjustment applicable to complex diseases /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in Analytic Health Sciences) -- University of Colorado Denver, 2007.<br>Typescript. Includes bibliographical references (leaves 57-60). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;

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6

Zhao, Jianhua, and 赵建华. "Some topics in dimension reduction and clustering." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B4284180X.

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7

Abey, Rebecca. "The statistics of topic modelling." Thesis, University of Canterbury. Mathematics and Statistics, 2015. http://hdl.handle.net/10092/11264.

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This research project aims to provide a clear and concise guide to latent dirichlet allocation which is a form of topic modelling. The aim is to help researchers who do not have a strong background in mathematics or statistics to feel comfortable with using topic modelling in their work. In order to achieve this, the thesis provides a step-by-step explanation of how topic modelling works. A range of tools that can be used to perform a topic model analysis are also described. The first chapter gives an explanation of how topic modelling, and (more specifically), latent dirichlet allocation

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8

Guo, Wei. "Some topics of statistical methods in gene mapping." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36873688.

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9

Xia, Fan, and 夏凡. "Some topics on statistical analysis of genetic imprinting data and microbiome compositional data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206673.

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Genetic association study is a useful tool to identify the genetic component that is responsible for a disease. The phenomenon that a certain gene expresses in a parent-of-origin manner is referred to as genomic imprinting. When a gene is imprinted, the performance of the disease-association study will be affected. This thesis presents statistical testing methods developed specially for nuclear family data centering around the genetic association studies incorporating imprinting effects. For qualitative diseases with binary outcomes, a class of TDTI* type tests was proposed in a general two-st

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10

Hu, Yueqing, and 胡躍清. "Some topics in the statistical analysis of forensic DNA and genetic family data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38831491.

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11

Dong, Tuochuan. "Selected Topics on Statistical Methods for Three and Multiple Class Diagnostic Studies." Thesis, State University of New York at Buffalo, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3629710.

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<p> Many disease processes such as Alzheimer'sDisease have three ordinal disease classes, i.e. the non-diseased stage, the early diseased stage and the fully diseased stage. Since the early diseased stage is likely the best time window for treatment interventions, it is important to have diagnostic tests which have good diagnostic ability to discriminate the early diseased stage from the other two. We present both parametric and non-parametric approaches for confidence interval estimation of probability of detecting the early diseased stage (sensitivity to early stage) given the true classific

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12

Chua, Alvin J. K. "Topics in gravitational-wave astronomy : theoretical studies, source modelling and statistical methods." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/263652.

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Astronomy with gravitational-wave observations is now a reality. Much of the theoretical research in this field falls under three broad themes: the mathematical description and physical understanding of gravitational radiation and its effects; the construction of accurate and computationally efficient waveform models for astrophysical sources; and the improved statistical analysis of noisy data from interferometric detectors, so as to extract and characterise source signals. The doctoral thesis presented in this dissertation is an investigation of various topics across these themes. Under the

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13

王詠媚 and Wing-mei Wong. "Some topics in model selection in financial time series analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31225366.

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14

Downie, Timothy Ross. "Wavlet methods in statistics." Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389339.

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15

Yam, Ho-kwan, and 任浩君. "On a topic of generalized linear mixed models and stochastic volatility model." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B29913342.

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16

Bischof, Jonathan Michael. "Interpretable and Scalable Bayesian Models for Advertising and Text." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11400.

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In the era of "big data", scalable statistical inference is necessary to learn from new and growing sources of quantitative information. However, many commercial and scientific applications also require models to be interpretable to end users in order to generate actionable insights about quantities of interest. We present three case studies of Bayesian hierarchical models that improve the interpretability of existing models while also maintaining or improving the efficiency of inference. The first paper is an application to online advertising that presents an augmented regression model inter

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17

Elshamy, Wesam Samy. "Continuous-time infinite dynamic topic models." Diss., Kansas State University, 2012. http://hdl.handle.net/2097/15176.

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Doctor of Philosophy<br>Department of Computing and Information Sciences<br>William Henry Hsu<br>Topic models are probabilistic models for discovering topical themes in collections of documents. In real world applications, these models provide us with the means of organizing what would otherwise be unstructured collections. They can help us cluster a huge collection into different topics or find a subset of the collection that resembles the topical theme found in an article at hand. The first wave of topic models developed were able to discover the prevailing topics in a big collection of

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18

Boys, Richard James. "Predictive screening methods." Thesis, University of Sheffield, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285045.

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19

Davis, Emmy, Alexis Gonzalez, Kyle Wolske, and Brenda Louw. "Multicultural/Multilingual Issues in CSD Research Methods Coursework: A Neglected Topic?" Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/asrf/2020/presentations/3.

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Insufficient research training contributes to the current shortage of researchers in the field of speech-language pathology, but also to the dearth of multicultural and multilingual (MCML) research. There is limited information regarding how MCML issues are addressed in Research Methods courses in Communication Sciences and Disorders (CSD). One of the ways in which this problem can be addressed is to include MCML issues into CSD research methods courses. A survey, “Integration of MCML Issues in Research Coursework” was developed based on an in-depth literature review. The aim of the survey was

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20

張益軍 and Yijun Zhang. "Pulsar statistics in our galaxy." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31225585.

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21

Gillen, Daniel L. "The use of weighted logrank statistics in group sequential testing and non-proportional hazards /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/9557.

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22

Cheng, Wenqian. "Statistical data mining for Sina Weibo, a Chinese micro-blog : sentiment modelling and randomness reduction for topic modelling." Thesis, London School of Economics and Political Science (University of London), 2017. http://etheses.lse.ac.uk/3488/.

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Before the arrival of modern information and communication technology, it was not easy to capture people’s thoughts and sentiments; however, the development of statistical data mining techniques and the prevalence of mass social media provide opportunities to capture those trends. Among all types of social media, micro-blogs make use of the word limit of 140 characters to force users to get straight to thepoint, thus making the posts brief but content-rich resources for investigation. The data mining object of this thesis is Weibo, the most popular Chinese micro-blog. In the first part of the

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23

Saberi, Nasseri Robin. "Stochastic EM for generic topic modeling using probabilistic programming." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447568.

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Probabilistic topic models are a versatile class of models for discovering latent themes in document collections through unsupervised learning. Conventional inferential methods lack the scaling capabilities necessary for extensions to large-scale applications. In recent years Stochastic Expectation Maximization has proven scalable for the simplest topic model: Latent Dirichlet Allocation. Performing analytical maximization is unfortunately not possible for many more complex topic models. With the rise of probabilistic programming languages, the ability to infer flexibly specified probabilistic

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24

Huang, Shu-Pang. "ROBUST METHODS FOR ESTIMATING ALLELE FREQUENCIES." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20010614-213208.

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<p>HUANG, SHU-PANG. ROBUST METHODS FOR ESTIMATING ALLELE FREQUENCIES (Advisor: Bruce S. Weir) The distribution of allele frequencies has beena major focus in population genetics. Classical approaches usingstochastic arguments depend highly on the choice of mutationmodel. Unfortunately, it is hard to justify which mutation modelis suitable for a particular sample. We propose two methods toestimate allele frequencies, especially for rare alleles, withoutassuming a mutation model. The first method achieves its goalthrough two steps. First it estimates the number of alleles in apopulation using a

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25

Khan, Kori Leigh. "Restricted Spatial Regression: Methods & Implications." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595274127575203.

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26

Purvis, A. "Comparative methods : theory and practice." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315843.

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27

鄧國良 and Kwok-leong Tang. "Sensitivity analysis of bootstrap methods." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31977479.

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28

Tang, Kwok-leong. "Sensitivity analysis of bootstrap methods." [Hong Kong] : University of Hong Kong, 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13793792.

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29

Yam, Chiu Yu. "Quasi-Monte Carlo methods for bootstrap." HKBU Institutional Repository, 2000. http://repository.hkbu.edu.hk/etd_ra/272.

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30

Cohen, Margaret A. "Estimating the growth rate of harmful algal blooms using a model averaged method." View electronic thesis (PDF), 2009. http://dl.uncw.edu/etd/2009-1/rp/cohenm/margaretcohen.pdf.

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31

Wei, Bei. "Nonparametric statistical methods based on depth function and bootstrap." Click to view the E-thesis via HKUTO, 2010. http://sunzi.lib.hku.hk/hkuto/record/B4414197X.

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32

Wei, Bei, and 魏孛. "Nonparametric statistical methods based on depth function and bootstrap." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B4414197X.

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33

Li, Kaiqiao. "Statistical Methods for High Dimensional Variable Selection." Thesis, State University of New York at Stony Brook, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13427291.

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<p> This thesis focuses on high dimensional variable selection and addresses the limitation of existing penalized likelihood-based prediction models, as well as multiple hypothesis testing issues in jump detection. In the first project, we proposed a weighted sparse network learning method which allows users to first estimate a data driven network with sparsity property. The estimated network is then optimally combined using a weighted approach to a known or partially known network structure. We adapted the &ell;<sub>1</sub> penalties and proved the oracle property of our proposed model which

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34

Lee, Ju Hee. "Robust Statistical Modeling through Nonparametric Bayesian Methods." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275399497.

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35

Aston, John Alexander David. "Statistical methods for functional neuroimaging data." Thesis, Imperial College London, 2002. http://hdl.handle.net/10044/1/7185.

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36

Denison, David George Taylor. "Simulation based Bayesian nonparametric regression methods." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266105.

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37

Taghi, Hajian Mozafar. "Computational methods for discrete programming problems." Thesis, Brunel University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315490.

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38

McCollin, Christopher. "Analysis methods for software reliability data." Thesis, Nottingham Trent University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332514.

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This thesis reviews the statistical models commonly applied to software reliability data. A data set encompassing the typical fields to be found on a software defect record sheet is analysed in a systematic way to initially determine where data was corrupted or uncollected. The data when summarised into failure counts, proportions, waiting times to failure and cumulative failure times are analysed by a number of statistical analyses : Exploratory Data Analysis, Box and Jenkins time series, proportional hazards modelling, proportional intensity modelling and a number of multivariate techniques.

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39

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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40

Nguyen, Thien Thanh. "Conjugate basis methods for constrained optimization." Thesis, University of Hertfordshire, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.254489.

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41

Hunt, Katherine. "Wavelet methods for transfer function modelling." Thesis, University of Bristol, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268701.

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42

Welch, Jason. "Bayesian methods in chemical data analysis." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319893.

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43

Atoyan, Tigran. "Characteristic function based inference methods." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=104733.

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We present a method of performing parameter inference when we have an i.i.d. sample drawn from a parametric distribution with a known characteristic function but with densities or probability mass functions not known in closed form. The context we focus on is in making inference on regularly sampled Lévy processes of a known parametric form, as is often encountered in financial time series modeling. The method uses the empirical characteristic function, obtained from the sample, to find the parameter values which will minimize a specific distance function. We provide proofs of strong consisten

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44

Cook, Lawrence J. "Small Sample Methods for the Analysis of Clustered Binary Data." DigitalCommons@USU, 2008. https://digitalcommons.usu.edu/etd/1.

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There are several solutions for analysis of clustered binary data. However, the two most common tools in use today, generalized estimating equations and random effects or mixed models, rely heavily on asymptotic theory. However, in many situations, such as small or sparse samples, asymptotic assumptions may not be met. For this reason we explore the utility of the quadratic exponential model and conditional analysis to estimate the effect size of a trend parameter in small sample and sparse data settings. Further we explore the computational efficiency of two methods for conducting conditional

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45

Rowan, Adriaan. "Unravelling black box machine learning methods using biplots." Master's thesis, Faculty of Science, 2019. http://hdl.handle.net/11427/31124.

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Following the development of new mathematical techniques, the improvement of computer processing power and the increased availability of possible explanatory variables, the financial services industry is moving toward the use of new machine learning methods, such as neural networks, and away from older methods such as generalised linear models. However, their use is currently limited because they are seen as “black box” models, which gives predictions without justifications and which are therefore not understood and cannot be trusted. The goal of this dissertation is to expand on the theory an

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46

McMillan, Nancy. "Computational methods for spatial statistics and image data /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487846354485027.

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47

Lee, Joseph Jiazong. "Extensions of Randomization-Based Methods for Causal Inference." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463974.

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In randomized experiments, the random assignment of units to treatment groups justifies many of the traditional analysis methods for evaluating causal effects. Specifying subgroups of units for further examination after observing outcomes, however, may partially nullify any advantages of randomized assignment when data are analyzed naively. Some previous statistical literature has treated all post-hoc analyses homogeneously as entirely invalid and thus uninterpretable. Alternative analysis methods and the extent of the validity of such analyses remain largely unstudied. Here Chapter 1 prop

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48

Dolan, David M. "Spatial statistics using quasi-likelihood methods with applications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0029/NQ66201.pdf.

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49

Saldanha, Richard A. "Graph-theoretic methods in discrimination and classification." Thesis, University of Oxford, 1998. https://ora.ox.ac.uk/objects/uuid:3a06dee1-00e9-4b56-be8e-e991a570ced6.

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This thesis is concerned with the graphical modelling of multivariate data. The main aim of graphical modelling is to provide an easy to understand visual representation of, often complex, data relationships by fitting graphs to data. The graphs consist of nodes denoting random variables and connecting lines or edges are used to depict variable dependencies. Equivalently, the absence of particular edges in a graph describe conditional independencies between random variables. The resulting structure is called a conditional independence graph. The use of conditional independence graphs as a guid

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50

Newell, John. "Practical methods for analysing dependent survival data." Thesis, University of Glasgow, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299967.

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