Дисертації з теми "Latent variable path analysis"
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Roodman, Allison A. "A Test of a Model of Sexual Victimization: A Latent Variable Path Analysis." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/30102.
Повний текст джерелаPh. D.
Paolucci, Elizabeth Oddone. "A latent variable path analysis of the development of pedophilia and its associated pathologies." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0010/NQ31058.pdf.
Повний текст джерелаLangley, Audra Kae. "Coping Efforts and Efficacy, Acculturation, and Post-Traumatic Symptomatology in Adolescents following Wildfire: A Latent Variable Path Analysis." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/26473.
Повний текст джерелаPh. D.
Burnham, Alison J. "Multivariate latent variable regression : modelling and estimation /." *McMaster only, 1997.
Знайти повний текст джерелаChristmas, Jacqueline. "Robust spatio-temporal latent variable models." Thesis, University of Exeter, 2011. http://hdl.handle.net/10036/3051.
Повний текст джерелаHollis, R. Benjamin. "Mind wandering and online learning| A latent variable analysis." Thesis, Kent State University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3618884.
Повний текст джерелаThoughts drift in everyday life and in the classroom. The goal of this study was to investigate how often students reported off-task thinking while watching online lectures. These findings were related to working memory capacity, topic interest, and achievement goal orientations. Structural equation modeling was used to evaluate how all of these factors were related and predicted performance in the course.
In the presented findings, 126 participants completed three complex span tasks, answered a 2x2 goal orientation questionnaire, responded to eight mind-wandering probes while watching two online lectures, and rated interest in the lecture topics.
In the reported models, higher levels of mind wandering predicted lower levels of academic performance. Lower levels of working memory capacity predicted higher levels of mind wandering and lower levels of academic performance. Higher levels of topic interest predicted lower levels of mind wandering. Higher levels of mastery approach orientations (those who learn to master content) predicted higher levels of task-related interference. A novel mind wandering probe, thinking about or using another technology, accounted for 29% of off-task thinking. Implications of these findings and considerations for future research are discussed.
Hollis, R. Benjamin. "Mind Wandering and Online Learning: A Latent Variable Analysis." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1385032513.
Повний текст джерелаRastelli, Riccardo, and Nial Friel. "Optimal Bayesian estimators for latent variable cluster models." Springer Nature, 2018. http://dx.doi.org/10.1007/s11222-017-9786-y.
Повний текст джерелаRidall, Peter Gareth. "Bayesian Latent Variable Models for Biostatistical Applications." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/16164/1/Peter_Ridall_Thesis.pdf.
Повний текст джерелаRidall, Peter Gareth. "Bayesian Latent Variable Models for Biostatistical Applications." Queensland University of Technology, 2004. http://eprints.qut.edu.au/16164/.
Повний текст джерелаDean, Nema. "Variable selection and other extensions of the mixture model clustering framework /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/8943.
Повний текст джерелаLohman, Matthew. "Frailty and Depression: A Latent Trait Analysis." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3324.
Повний текст джерелаFlores-Cerrillo, Jesus MacGregor John F. "Quality control for batch processes using multivariate latent variable methods /." *McMaster only, 2003.
Знайти повний текст джерелаXue, Jianhong. "What drives a knowledge-based industry to cluster? : a latent variable analysis /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1426116.
Повний текст джерелаFoxall, Robert John. "Likelihood analysis of the multi-layer perceptron and related latent variable models." Thesis, University of Newcastle Upon Tyne, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327211.
Повний текст джерелаKelly, Lesly Ann. "Nursing Surveillance in the Acute Care Setting: Latent Variable Development and Analysis." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/193636.
Повний текст джерелаRen, Chunfeng. "LATENT VARIABLE MODELS GIVEN INCOMPLETELY OBSERVED SURROGATE OUTCOMES AND COVARIATES." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3473.
Повний текст джерелаLöfstedt, Tommy. "OnPLS : Orthogonal projections to latent structures in multiblock and path model data analysis." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-55438.
Повний текст джерелаScruby, Gavin John. "Statistical and neural network techniques for independent component analysis and latent variable applications." Thesis, Royal Holloway, University of London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313402.
Повний текст джерелаChao, Yi. "Bayesian Hierarchical Latent Model for Gene Set Analysis." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/32060.
Повний текст джерелаMaster of Science
Farouni, Tarek. "Latent Variable Models of Categorical Responses in the Bayesian and Frequentist Frameworks." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1412374136.
Повний текст джерелаAbonyi, J., FD Tamás, S. Potgieter, and H. Potgieter. "Analysis of Trace Elements in South African Clinkers using Latent Variable Model and Clustering." South African Journal of Chemistry, 2003. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1000893.
Повний текст джерелаAbonyia, J., FD Tamas, and S. Potgieter. "Analysis of trace elements in South African clinkers using latent variable model and clustering." South African Journal of Chemistry, 2003. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001952.
Повний текст джерелаHafez, Mai. "Analysis of multivariate longitudinal categorical data subject to nonrandom missingness : a latent variable approach." Thesis, London School of Economics and Political Science (University of London), 2015. http://etheses.lse.ac.uk/3184/.
Повний текст джерелаChen, Hongshu. "Sampling-based Bayesian latent variable regression methods with applications in process engineering." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1189650596.
Повний текст джерелаOrriols, Majoral Xavier. "Generative Models for Video Analysis and 3D Range Data Applications." Doctoral thesis, Universitat Autònoma de Barcelona, 2004. http://hdl.handle.net/10803/3037.
Повний текст джерелаLa elección de una representación adecuada para los datos toma una relevancia significativa cuando se tratan invariancias, dado que estas siempre implican una reducción del los grados de libertad del sistema, i.e., el número necesario de coordenadas para la representación es menor que el empleado en la captura de datos. De este modo, la descomposición en unidades básicas y el cambio de representación dan lugar a que un problema complejo se pueda transformar en uno de manejable. Esta simplificación del problema de la estimación debe depender del mecanismo propio de combinación de estas primitivas con el fin de obtener una descripción óptima del modelo complejo global. Esta tesis muestra como los Modelos de Variables Latentes reducen dimensionalidad, que teniendo en cuenta las simetrías internas del problema, ofrecen una manera de tratar con datos parciales y dan lugar a la posibilidad de predicciones de nuevas observaciones.
Las líneas de investigación de esta tesis están dirigidas al manejo de datos provinentes de múltiples fuentes. Concretamente, esta tesis presenta un conjunto de nuevos algoritmos aplicados a dos áreas diferentes dentro de la Visión por Computador: i) video análisis y sumarización y ii) datos range 3D. Ambas áreas se han enfocado a través del marco de los Modelos Generativos, donde se han empleado protocolos similares para representar datos.
The majority of problems in Computer Vision do not contain a direct relation between the stimuli provided by a general purpose sensor and its corresponding perceptual category. A complex learning task must be involved in order to provide such a connection. In fact, the basic forms of energy, and their possible combinations are a reduced number compared to the infinite possible perceptual categories corresponding to objects, actions, relations among objects... Two main factors determine the level of difficulty of a specific problem: i) The different levels of information that are employed and ii) The complexity of the model that is intended to explain the observations.
The choice of an appropriate representation for the data takes a significant relevance when it comes to deal with invariances, since these usually imply that the number of intrinsic degrees of
freedom in the data distribution is lower than the coordinates used to represent it. Therefore, the decomposition into basic units (model parameters) and the change of representation, make that a complex problem can be transformed into a manageable one. This simplification of the estimation problem has to rely on a proper mechanism of combination of those primitives in order to give an optimal description of the global complex model. This thesis shows how Latent Variable Models reduce dimensionality, taking into account the internal symmetries of a problem, provide a manner of dealing with missing data and make possible predicting new observations.
The lines of research of this thesis are directed to the management of multiple data sources. More specifically, this thesis presents a set of new algorithms applied to two different areas in Computer Vision: i) video analysis and summarization, and ii) 3D range data. Both areas have been approached through the Generative Models framework, where similar protocols for representing data have been employed.
Grün, Bettina, and Gertraud Malsiner-Walli. "Bayesian Latent Class Analysis with Shrinkage Priors: An Application to the Hungarian Heart Disease Data." FedOA -- Federico II University Press, 2018. http://epub.wu.ac.at/6612/1/heart.pdf.
Повний текст джерелаBen, Boubaker Moez, and Boubaker Moez Ben. "Non-destructive quality control of carbon anodes using modal analysis, acousto-ultrasonic and latent variable methods." Doctoral thesis, Université Laval, 2017. http://hdl.handle.net/20.500.11794/27843.
Повний текст джерелаLa performance des cuves d’électrolyse utilisées dans la production d’aluminium primaire par le procédé Hall-Héroult est fortement influencée par la qualité des anodes de carbone. Celles-ci sont de plus en plus variables en raison de la qualité décroissante des matières premières (coke et braie) et des changements de fournisseurs qui deviennent de plus en plus fréquents afin de réduire le coût d’achat et de rencontrer les spécifications des usines. En effet, les défauts des anodes, tels les fissures, les pores et les hétérogénéités, causés par cette variabilité, doivent être détectés le plus tôt possible afin d’éviter d’utiliser des anodes défectueuses dans les cuves et/ou d’apporter des ajustements au niveau du procédé de fabrication des anodes. Cependant, les fabricants d’anodes ne sont pas préparés pour réagir à cette situation afin de maintenir une qualité d'anode stable. Par conséquent, il devient prioritaire de développer des techniques permettant d’inspecter le volume complet de chaque anode individuelle afin d’améliorer le contrôle de la qualité des anodes et de compenser la variabilité provenant des matières premières. Un système d’inspection basé sur les techniques d’analyse modale et d’acousto-ultrasonique est proposé pour contrôler la qualité des anodes de manière rapide et non destructive. Les données massives (modes de vibration et signaux acoustiques) ont été analysées à l'aide de méthodes statistiques à variables latentes, telles que l'Analyse en Composantes Principales (ACP) et la Projection sur les Structures Latentes (PSL), afin de regrouper les anodes testées en fonction de leurs signatures vibratoires et acousto-ultrasoniques. Le système d'inspection a été premièrement investigué sur des tranches d'anodes industrielles et ensuite testé sur plusieurs anodes pleine grandeur produites sous différentes conditions à l’usine de Alcoa Deschambault au Québec (ADQ). La méthode proposée a permis de distinguer les anodes saines de celles contenant des défauts ainsi que d’identifier le type et la sévérité des défauts, et de les localiser. La méthode acousto-ultrasonique a été validée qualitativement par la tomographie à rayon-X, pour les analyses des tranches d’anodes. Pour les tests réalisés sur les blocs d’anode, la validation a été réalisée au moyen de photos recueillies après avoir coupé certaines anodes parmi celles testées.
The performance of the Hall-Héroult electrolysis reduction process used for the industrial aluminium smelting is strongly influenced by the quality of carbon anodes, particularly by the presence of defects in their internal structure, such as cracks, pores and heterogeneities. This is partly due to the decreasing quality and increasing variability of the raw materials available on the market as well as the frequent suppliers changes made in order to meet the smelter’s specifications and to reduce purchasing costs. However, the anode producers are not prepared to cope with these variations and in order to maintain consistent anode quality. Consequently, it becomes a priority to develop alternative methods for inspecting each anode block to improve quality control and maintain consistent anode quality in spite of the variability of incoming raw materials.A rapid and non-destructive inspection system for anode quality control is proposed based on modal analysis and acousto-ultrasonic techniques. The large set of vibration and acousto-ultrasonic data collected from baked anode materials was analyzed using multivariate latent variable methods, such as Principal Component Analysis (PCA) and Partial Least Squares (PLS), in order to cluster the tested anodes based on vibration and their acousto-ultrasonic signatures. The inspection system was investigated first using slices collected from industrial anodes and then on several full size anodes produced under different conditions at the Alcoa Deschambault in Québec (ADQ). It is shown that the proposed method allows discriminating defect-free anodes from those containing various types of defects. In addition, the acousto-ultrasonic features obtained in different frequency ranges were found to be sensitive to the defects severities and were able to locate them in anode blocks. The acousto-ultrasonic method was validated qualitatively using X-ray computed tomography, when studying the anode slices. The results obtained on the full size anode blocks were validated by means of images collected after cutting some tested anodes.
The performance of the Hall-Héroult electrolysis reduction process used for the industrial aluminium smelting is strongly influenced by the quality of carbon anodes, particularly by the presence of defects in their internal structure, such as cracks, pores and heterogeneities. This is partly due to the decreasing quality and increasing variability of the raw materials available on the market as well as the frequent suppliers changes made in order to meet the smelter’s specifications and to reduce purchasing costs. However, the anode producers are not prepared to cope with these variations and in order to maintain consistent anode quality. Consequently, it becomes a priority to develop alternative methods for inspecting each anode block to improve quality control and maintain consistent anode quality in spite of the variability of incoming raw materials.A rapid and non-destructive inspection system for anode quality control is proposed based on modal analysis and acousto-ultrasonic techniques. The large set of vibration and acousto-ultrasonic data collected from baked anode materials was analyzed using multivariate latent variable methods, such as Principal Component Analysis (PCA) and Partial Least Squares (PLS), in order to cluster the tested anodes based on vibration and their acousto-ultrasonic signatures. The inspection system was investigated first using slices collected from industrial anodes and then on several full size anodes produced under different conditions at the Alcoa Deschambault in Québec (ADQ). It is shown that the proposed method allows discriminating defect-free anodes from those containing various types of defects. In addition, the acousto-ultrasonic features obtained in different frequency ranges were found to be sensitive to the defects severities and were able to locate them in anode blocks. The acousto-ultrasonic method was validated qualitatively using X-ray computed tomography, when studying the anode slices. The results obtained on the full size anode blocks were validated by means of images collected after cutting some tested anodes.
Todd, John B. (John Bruce). "A Path Analysis of Caregiving the Elderly: Voluntariness as a Variable of Role Assumption." Thesis, University of North Texas, 1996. https://digital.library.unt.edu/ark:/67531/metadc278760/.
Повний текст джерелаBylesjö, Max. "Latent variable based computational methods for applications in life sciences : Analysis and integration of omics data sets." Doctoral thesis, Umeå universitet, Kemi, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1616.
Повний текст джерелаFunktionsgenomik är ett forskningsområde med det slutgiltiga målet att karakterisera alla gener i ett genom hos en organism. Detta inkluderar studier av hur DNA transkriberas till mRNA, hur det sedan translateras till proteiner och hur dessa proteiner interagerar och påverkar organismens biokemiska processer. Den traditionella ansatsen har varit att studera funktionen, regleringen och translateringen av en gen i taget. Ny teknik inom fältet har dock möjliggjort studier av hur tusentals transkript, proteiner och små molekyler uppträder gemensamt i en organism vid ett givet tillfälle eller över tid. Konkret innebär detta även att stora mängder data genereras även från små, isolerade experiment. Att hitta globala trender och att utvinna användbar information från liknande data-mängder är ett icke-trivialt beräkningsmässigt problem som kräver avancerade och tolkningsbara matematiska modeller. Denna avhandling beskriver utvecklingen och tillämpningen av olika beräkningsmässiga metoder för att klassificera och integrera stora mängder empiriskt (uppmätt) data. Gemensamt för alla metoder är att de baseras på latenta variabler: variabler som inte uppmätts direkt utan som beräknats från andra, observerade variabler. Detta koncept är väl anpassat till studier av komplexa system som kan beskrivas av ett fåtal, oberoende faktorer som karakteriserar de huvudsakliga egenskaperna hos systemet, vilket är kännetecknande för många kemiska och biologiska system. Metoderna som beskrivs i avhandlingen är generella men i huvudsak utvecklade för och tillämpade på data från biologiska experiment. I avhandlingen demonstreras hur dessa metoder kan användas för att hitta komplexa samband mellan uppmätt data och andra faktorer av intresse, utan att förlora de egenskaper hos metoden som är kritiska för att tolka resultaten. Metoderna tillämpas för att hitta gemensamma och unika egenskaper hos regleringen av transkript och hur dessa påverkas av och påverkar små molekyler i trädet poppel. Utöver detta beskrivs ett större experiment i poppel där relationen mellan nivåer av transkript, proteiner och små molekyler undersöks med de utvecklade metoderna.
Bylesjö, Max. "Latent variable based computational methods for applications in life sciences : Analysis and integration of omics data sets /." Umeå : Chemistry Kemi, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1616.
Повний текст джерелаWarpe, Hrusheekesh Sunil. "An Analysis of EcoRouting Using a Variable Acceleration Rate Synthesis Model." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78678.
Повний текст джерелаMaster of Science
Katsikatsou, Myrsini. "Composite Likelihood Estimation for Latent Variable Models with Ordinal and Continuous, or Ranking Variables." Doctoral thesis, Uppsala universitet, Statistiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-188342.
Повний текст джерелаDeBusk-Lane, Morgan. "Variable- and Person-Centered Approaches to Examining Construct-Relevant Multidimensionality in Writing Self-Efficacy." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5938.
Повний текст джерелаHu, Zhiguang. "Binary latent variable modelling in the analysis of health data with multiple binary outcomes in an air pollution study in Hong Kong /." Hong Kong : University of Hong Kong, 1997. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19588975.
Повний текст джерелаHu, Zhiguang, and 胡志光. "Binary latent variable modelling in the analysis of health data with multiple binary outcomes in an air pollution study in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31237058.
Повний текст джерелаHirk, Rainer, Kurt Hornik, and Laura Vana. "Multivariate Ordinal Regression Models: An Analysis of Corporate Credit Ratings." WU Vienna University of Economics and Business, 2017. http://epub.wu.ac.at/5389/1/Report132_lvana.pdf.
Повний текст джерелаSeries: Research Report Series / Department of Statistics and Mathematics
Hirk, Rainer, Kurt Hornik, and Laura Vana. "Multivariate ordinal regression models: an analysis of corporate credit ratings." Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/s10260-018-00437-7.
Повний текст джерелаParekh, Sanjeel. "Learning representations for robust audio-visual scene analysis." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLT015/document.
Повний текст джерелаThe goal of this thesis is to design algorithms that enable robust detection of objectsand events in videos through joint audio-visual analysis. This is motivated by humans’remarkable ability to meaningfully integrate auditory and visual characteristics forperception in noisy scenarios. To this end, we identify two kinds of natural associationsbetween the modalities in recordings made using a single microphone and camera,namely motion-audio correlation and appearance-audio co-occurrence.For the former, we use audio source separation as the primary application andpropose two novel methods within the popular non-negative matrix factorizationframework. The central idea is to utilize the temporal correlation between audio andmotion for objects/actions where the sound-producing motion is visible. The firstproposed method focuses on soft coupling between audio and motion representationscapturing temporal variations, while the second is based on cross-modal regression.We segregate several challenging audio mixtures of string instruments into theirconstituent sources using these approaches.To identify and extract many commonly encountered objects, we leverageappearance–audio co-occurrence in large datasets. This complementary associationmechanism is particularly useful for objects where motion-based correlations are notvisible or available. The problem is dealt with in a weakly-supervised setting whereinwe design a representation learning framework for robust AV event classification,visual object localization, audio event detection and source separation.We extensively test the proposed ideas on publicly available datasets. The experimentsdemonstrate several intuitive multimodal phenomena that humans utilize on aregular basis for robust scene understanding
Stålnacke, Johanna. "Rough beginnings : Executive function in adolescents and young adults after preterm birth and repeat antenatal corticosteroid treatment." Doctoral thesis, Stockholms universitet, Psykologiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-106798.
Повний текст джерелаAt the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 1: Submitted.
Johnson, Edward P. "Applying Bayesian Ordinal Regression to ICAP Maladaptive Behavior Subscales." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2121.pdf.
Повний текст джерелаGiolo, Suely Ruiz. "Variáveis latentes em análise de sobrevivência e curvas de crescimento." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-09052003-143659/.
Повний текст джерелаIn a context of univariate or multivariate survival data analysis, failure times data are characterized by the possibility to be censored. Although common in practice, censoring precludes the use of some conventional statistical procedures and it has been motivating, specially after the publication of the Cox's paper (1972), the development of statistical methods in this area. A recent topic of study is concerned with some situations where the response variable is in uenced by latent variables which are used in a statistical sense to describe genetic or environmental efects shared by individuals or also covariates not considered in the study. In this work emphasis is given to survival models which consider multivariate failure times and latent variables. Such times occur when, for instance, each individual under study is exposed to several events or when there is a natural or artificial clustering that causes dependence among times of those individuals at the same cluster. Models with latent variables where such failure times lie in intervals of time, i.e. in an interval censored context are specially considered in this work. The gamma frailty interval censored survival model is proposed in this work as a selection criterion for cattle. As an alternative selection criterion the growth curves model with random efects is also considered. To estimate the involved parameters in both proposed models, computational programs are presented. A Bayesian approach is considered in the estimation process so that the Markov chain Monte Carlo (MCMC) method is used and the posterior distributions are obtained using Gibbs sampling. The gamma frailty interval-censored survival model and the growth curves model with random efects are compared using a simulation study. To illustrate both proposed models studies with Nelore and Canchim cattle are used.
Byrne, Elizabeth Mary. "Working memory training and transcranial electrical brain stimulation." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/277101.
Повний текст джерелаTäckström, Oscar. "Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision." Doctoral thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-197610.
Повний текст джерелаNallaya, Sasikala. "The impact of multimodal texts on the development of English language proficiency." Thesis, 2010. http://hdl.handle.net/2440/62385.
Повний текст джерелаThesis (Ph.D.) -- University of Adelaide, School of Education, 2010
Mohanlal, Pramod. "Structural equation modelling." Diss., 1997. http://hdl.handle.net/10500/17475.
Повний текст джерелаMathematical Sciences
M. Sc. (Statistics)
Liu, Yan. "Latent variable modeling for biomarker analysis." 2012. https://scholarworks.umass.edu/dissertations/AAI3518256.
Повний текст джерелаSahani, Maneesh. "Latent variable models for neural data analysis." Thesis, 1999. https://thesis.library.caltech.edu/7598/2/Sahani%201999.pdf.
Повний текст джерелаThe brain is perhaps the most complex system to have ever been subjected to rigorous scientific investigation. The scale is staggering: over 10^11 neurons, each making an average of 10^3 synapses, with computation occurring on scales ranging from a single dendritic spine, to an entire cortical area. Slowly, we are beginning to acquire experimental tools that can gather the massive amounts of data needed to characterize this system. However, to understand and interpret these data will also require substantial strides in inferential and statistical techniques. This dissertation attempts to meet this need, extending and applying the modern tools of latent variable modeling to problems in neural data analysis.
It is divided into two parts. The first begins with an exposition of the general techniques of latent variable modeling. A new, extremely general, optimization algorithm is proposed - called Relaxation Expectation Maximization (REM) - that may be used to learn the optimal parameter values of arbitrary latent variable models. This algorithm appears to alleviate the common problem of convergence to local, sub-optimal, likelihood maxima. REM leads to a natural framework for model size selection; in combination with standard model selection techniques the quality of fits may be further improved, while the appropriate model size is automatically and efficiently determined. Next, a new latent variable model, the mixture of sparse hidden Markov models, is introduced, and approximate inference and learning algorithms are derived for it. This model is applied in the second part of the thesis.
The second part brings the technology of part I to bear on two important problems in experimental neuroscience. The first is known as spike sorting; this is the problem of separating the spikes from different neurons embedded within an extracellular recording. The dissertation offers the first thorough statistical analysis of this problem, which then yields the first powerful probabilistic solution. The second problem addressed is that of characterizing the distribution of spike trains recorded from the same neuron under identical experimental conditions. A latent variable model is proposed. Inference and learning in this model leads to new principled algorithms for smoothing and clustering of spike data.
"Influence analysis of some complicated latent variable models." 2002. http://library.cuhk.edu.hk/record=b6073458.
Повний текст джерела"June 2002."
Thesis (Ph.D.)--Chinese University of Hong Kong, 2002.
Includes bibliographical references (p. 74-82).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Mode of access: World Wide Web.
Abstracts in English and Chinese.
Liu, Xiang. "Three Contributions to Latent Variable Modeling." Thesis, 2019. https://doi.org/10.7916/D8Q25H61.
Повний текст джерела