Dissertations / Theses on the topic 'Genetic algorithms – Statistical methods'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 dissertations / theses for your research on the topic 'Genetic algorithms – Statistical methods.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
Czarn, Andrew Simon Timothy. "Statistical exploratory analysis of genetic algorithms." University of Western Australia. School of Computer Science and Software Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0030.
Shen, Rujun, and 沈汝君. "Mining optimal technical trading rules with genetic algorithms." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47870011.
published_or_final_version
Statistics and Actuarial Science
Master
Master of Philosophy
Barreau, Thibaud. "Strategic optimization of a global bank capital management using statistical methods on open data." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273413.
Projektets ämne handlar om att optimering allokering av kapital inom en fransk global bank. Kapital management syftar här på hur kapital ska fördelas mellan olika avdelningar inom banken. I detta projekt fokuserar jag på optimering av allokeringen av riskvägda resurser (RWA) mellan några av bankens enheter, som en representation av det allokerade kapitalet. Uppsatsen inriktar sig främst emot retail-delen av banken. Första steget var att modellera utvecklingen av en bankavdelning givet en ekonomisk omgivning? Andra steget var att försöka optimera fördelningen av RWA mellan de utvalda bankavdelningarna.
Larsen, Ross Allen Andrew. "Food Shelf Life: Estimation and Experimental Design." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1315.pdf.
Herrington, Hira B. "A Heuristic Evolutionary Method for the Complementary Cell Suppression Problem." NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/28.
ZHANG, GE. "STATISTICAL METHODS IN GENETIC ASSOCIATION." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1196099744.
Valenzuela-Del, Rio Jose Eugenio. "Bayesian adaptive sampling for discrete design alternatives in conceptual design." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50263.
Rogers, Alex. "Modelling genetic algorithms and evolving populations." Thesis, University of Southampton, 2000. https://eprints.soton.ac.uk/261289/.
Shar, Nisar Ahmed. "Statistical methods for predicting genetic regulation." Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/16729/.
Pittman, Jennifer L. "Adaptive splines and genetic algorithms for optimal statistical modeling." Adobe Acrobat reader required to view the full dissertation, 2000. http://www.etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-23/index.html.
Rattray, Magnus. "Modelling the dynamics of genetic algorithms using statistical mechanics." Thesis, University of Manchester, 1996. http://publications.aston.ac.uk/598/.
Shringarpure, Suyash. "Statistical Methods for studying Genetic Variation in Populations." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/117.
Cheng, Lulu. "Statistical Methods for Genetic Pathway-Based Data Analysis." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/52039.
Ph. D.
Yung, Godwin Yuen Han. "Statistical methods for analyzing genetic sequencing association studies." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493313.
Biostatistics
Lange, Christoph. "Generalized estimating equation methods in statistical genetics." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269921.
Brunning, James Jonathan Jesse. "Alignment models and algorithms for statistical machine translation." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608922.
Clark, Taane Gregory. "Statistical methods for finding associations in dense genetic regions." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413976.
Ferreira, Teresa. "Statistical methods for modelling epistasis in genetic association studies." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543476.
Su, Zhan. "Statistical methods for the analysis of genetic association studies." Thesis, University of Oxford, 2008. http://ora.ox.ac.uk/objects/uuid:98614f8b-63fe-4fa1-9a24-422216ad14cf.
Lin, Xinyi (Cindy). "Statistical Methods for High-Dimensional Data in Genetic Epidemiology." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11326.
Yi, Wan Kitty Yuen. "Statistical methods for the analysis of genetic association studies." Thesis, University of Kent, 2011. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.544040.
Sucheston, Lara E. "STATISTICAL METHODS FOR THE GENETIC ANALYSIS OF DEVELOPMENTAL DISORDERS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=case1175883318.
Marschall, Tobias [Verfasser]. "Algorithms and statistical methods for exact motif discovery / Tobias Marschall." Dortmund : Universitätsbibliothek Technische Universität Dortmund, 2011. http://d-nb.info/1012572064/34.
Georgieva, Antoniya. "Stochastic methods and genetic algorithms for neural network learning." Thesis, University of Portsmouth, 2008. https://researchportal.port.ac.uk/portal/en/theses/stochastic-methods-and-genetic-algorithms-for-neural-network-learning(67dae83c-ec3d-4db2-875c-6e7407a4144f).html.
Cordell, Heather Jane. "Statistical methods in the genetic analysis of type 1 diabetes." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296834.
Davies, Joanna L. "Statistical methods for modelling sources of heterogeneity in genetic epidemiology." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.534165.
Salem, Rany Mansour. "Statistical methods for genetic association analysis involving complex longitudinal data." Diss., [La Jolla] : [San Diego] : University of California, San Diego ; San Diego State University, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3366492.
Title from first page of PDF file (viewed Aug. 14, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.
Mahjani, Behrang. "Methods from Statistical Computing for Genetic Analysis of Complex Traits." Doctoral thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-284378.
eSSENCE
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.
published_or_final_version
Statistics and Actuarial Science
Doctoral
Doctor of Philosophy
Sotero, Charity Faith Gallemit. "Statistical Support Algorithms for Clinical Decisions and Prevention of Genetic-related Heart Disease." Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10751893.
Drug-induced long QT syndrome (diLQTS) can lead to seemingly healthy patients experiencing cardiac arrest, specifically Torsades de Pointes (TdP), which may lead to death. Clinical decision support systems (CDSS) assist better prescribing of drugs, in part by issuing alerts that warn of the drug’s potential harm. LQTS may be either genetic or acquired. Thirteen distinct genetic mutations have already been identified for hereditary LQTS. Since hereditary and acquired LQTS both share similar clinical symptoms, it is reasonable to assume that they both have some sort of genetic component. The goal of this study is to identify genetic risk markers for diLQTS and TdP. These markers will be used to develop a statistical DSS for clinical applications and prevention of genetic-related heart disease. We will use data from a genome-wide associate study conducted by the Pharmacogenomics of Arrhythmia Therapy subgroup of the Pharmacogenetics Research Network, focused on subjects with a history of diLQTS or TdP after taking medication. The data was made available for general research use by National Center for Biotechnology Information (NCBI). The data consists of 831 total patients, with 172 diLQTS and TdP case patients. Out of 620,901 initial markers, variable screening is done by a preliminary t-test (α=0.01), and the resulting feasible set of 5,754 markers associated with diLQTS to prevent TdP were used to create an appropriate predictive model. Methods used to create a predictive model were ensemble logistic regression, elastic net, random forests, artificial neural networks, and linear discriminant analysis. Of these methods using all 5,754 markers, accuracy ranged from 76.84% to 90.29%, with artificial neural networks as the most accurate model. Finally, variable importance algorithms were applied to extract a feasible set of markers from the ensemble logistic regression, elastic net, and random forests methods, and used to produce a subset of genetic markers suitable to build a proposed DSS. Of the methods using a subset of 61 markers, accuracy ranged from 76.59% to 87.00%, with ensemble logistic regression as the most accurate model. Of the methods using a subset of 22 markers, accuracy ranged from 74.24% to 82.87%, with the single hidden layer neural network (using the subset of markers extracted from the ensemble bagged logistic model) as the most accurate model.
Wang, Dennis Yi Qing. "Statistical modelling of gene regulation : applications to haematopoiesis." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607969.
Dick, Grant, and n/a. "Spatially-structured niching methods for evolutionary algorithms." University of Otago. Department of Information Science, 2008. http://adt.otago.ac.nz./public/adt-NZDU20080902.161336.
Sofer, Tamar. "Statistical Methods for High Dimensional Data in Environmental Genomics." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10403.
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.
Hutt, Benjamin David. "Evolving artificial neural network controllers for robots using species-based methods." Thesis, University of Reading, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270831.
Nicholson, George. "Statistical methods for inferring human population history from multi-locus genetic data." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275404.
Lee, Michael James. "Methods in Percolation." Thesis, University of Canterbury. Physics and Astronomy, 2008. http://hdl.handle.net/10092/2365.
Arif, Omar. "Robust target localization and segmentation using statistical methods." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33882.
Guan, Ting. "Novel Statistical Methods for Multiple-variant Genetic Association Studies with Related Individuals." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/96243.
PHD
Yu, Xuesong. "Statistical methods for analyzing genomic data with consideration of spatial structures /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/9553.
Swan, Roger William. "Optimisation of water treatment works using Monte-Carlo methods and genetic algorithms." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/5868/.
Winkleblack, Scott Kenneth swinkleb. "ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1236.
Dambreville, Samuel. "Statistical and geometric methods for shape-driven segmentation and tracking." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22707.
Committee Chair: Allen Tannenbaum; Committee Member: Anthony Yezzi; Committee Member: Marc Niethammer; Committee Member: Patricio Vela; Committee Member: Yucel Altunbasak.
Howie, Bryan. "Statistical methods for phasing haplotypes and inputing genotypes in large population genetic datasets." Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.531825.
Gale, Joanne. "Statistical Methods for the Analysis of Quantitative Trait Data in Genetic Association Studies." Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504345.
Lipson, Mark (Mark Israel). "New statistical genetic methods for elucidating the history and evolution of human populations." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/89873.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 165-173).
In the last few decades, the study of human history has been fundamentally changed by our ability to detect the signatures left within our genomes by adaptations, migrations, population size changes, and other processes. Rapid advances in DNA sequencing technology have now made it possible to interrogate these signals at unprecedented levels of detail, but extracting more complex information about the past from patterns of genetic variation requires new and more sophisticated models. This thesis presents a suite of sensitive and efficient statistical tools for learning about human history and evolution from large-scale genetic data. We focus first on the problem of admixture inference and describe two new methods for determining the dates, sources, and proportions of ancestral mixtures between diverged populations. These methods have already been applied to a number of important historical questions, in particular that of tracing the course of the Austronesian expansion in Southeast Asia. We also report a new approach for estimating the human mutation rate, a fundamental parameter in evolutionary genetics, and provide evidence that it is higher than has been proposed in recent pedigree-based studies.
by Mark Lipson.
Ph. D.
Tachmazidou, Ioanna. "Bayesian statistical methods for genetic association studies with case-control and cohort design." Thesis, Imperial College London, 2008. http://hdl.handle.net/10044/1/4398.
Iotchkova, Valentina Valentinova. "Bayesian methods for multivariate phenotype analysis in genome-wide association studies." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:66fd61e1-a6e3-4e91-959b-31a3ec88967c.
Li, Li. "Evolutionary optimization methods for mass customizing platform products." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/HKUTO/record/B3955790X.
Lee, Yiu-fai, and 李耀暉. "Analysis for segmental sharing and linkage disequilibrium: a genomewide association study on myopia." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43912217.