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Dissertations / Theses on the topic 'Bayesian Information Criterion'

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1

Sofer, Tamar. "Statistical Methods for High Dimensional Data in Environmental Genomics." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10403.

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In this dissertation, we propose methodology to analyze high dimensional genomics data, in which the observations have large number of outcome variables, in addition to exposure variables. In the Chapter 1, we investigate methods for genetic pathway analysis, where we have a small number of exposure variables. We propose two Canonical Correlation Analysis based methods, that select outcomes either sequentially or by screening, and show that the performance of the proposed methods depend on the correlation between the genes in the pathway. We also propose and investigate criterion for fixing th
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2

Tran, Thu Trung. "Bayesian model estimation and comparison for longitudinal categorical data." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/19240/1/Thu_Tran_Thesis.pdf.

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In this thesis, we address issues of model estimation for longitudinal categorical data and of model selection for these data with missing covariates. Longitudinal survey data capture the responses of each subject repeatedly through time, allowing for the separation of variation in the measured variable of interest across time for one subject from the variation in that variable among all subjects. Questions concerning persistence, patterns of structure, interaction of events and stability of multivariate relationships can be answered through longitudinal data analysis. Longitudinal data requir
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Tran, Thu Trung. "Bayesian model estimation and comparison for longitudinal categorical data." Queensland University of Technology, 2008. http://eprints.qut.edu.au/19240/.

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In this thesis, we address issues of model estimation for longitudinal categorical data and of model selection for these data with missing covariates. Longitudinal survey data capture the responses of each subject repeatedly through time, allowing for the separation of variation in the measured variable of interest across time for one subject from the variation in that variable among all subjects. Questions concerning persistence, patterns of structure, interaction of events and stability of multivariate relationships can be answered through longitudinal data analysis. Longitudinal data requir
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4

Neri, Leonardo Valeriano. "Combinação de Características Para Segmentação em Transcrição de Locutores." Universidade Federal de Pernambuco, 2014. https://repositorio.ufpe.br/handle/123456789/11560.

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Submitted by Lucelia Lucena (lucelia.lucena@ufpe.br) on 2015-03-09T19:16:26Z No. of bitstreams: 2 DISSERTAÇÃO Leonardo Valeriano Neri.pdf: 1395784 bytes, checksum: f38db7dc7191951459624c0348b93e63 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)<br>Made available in DSpace on 2015-03-09T19:16:26Z (GMT). No. of bitstreams: 2 DISSERTAÇÃO Leonardo Valeriano Neri.pdf: 1395784 bytes, checksum: f38db7dc7191951459624c0348b93e63 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2014-02-21<br>Neste trabalho é apresentad
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5

Adamský, Aleš. "Segmentace mluvčích s využitím statistických metod klasifikace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219007.

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The thesis discusses in detail some concepts of speech and prosody that can contribute to build a speech corpus for the speaker segmentation purpose. Moreover, the Elan multimedia annotator used for labeling is described. The theoretical part highlights some frequently used speech features such as MFCC, PLP and LPC and deals with currently most popular speech segmentation methods. Some classification algorithms are also mentioned. The practical part describes implementation of Bayesian information criterium algorithm in system for automatic speaker segmentation. For classification of speaker c
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6

Shahtahmassebi, Golnaz. "Bayesian modelling of ultra high-frequency financial data." Thesis, University of Plymouth, 2011. http://hdl.handle.net/10026.1/894.

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The availability of ultra high-frequency (UHF) data on transactions has revolutionised data processing and statistical modelling techniques in finance. The unique characteristics of such data, e.g. discrete structure of price change, unequally spaced time intervals and multiple transactions have introduced new theoretical and computational challenges. In this study, we develop a Bayesian framework for modelling integer-valued variables to capture the fundamental properties of price change. We propose the application of the zero inflated Poisson difference (ZPD) distribution for modelling UHF d
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7

Fan, Qian. "NORMAL MIXTURE AND CONTAMINATED MODEL WITH NUISANCE PARAMETER AND APPLICATIONS." UKnowledge, 2014. http://uknowledge.uky.edu/statistics_etds/9.

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This paper intend to find the proper hypothesis and test statistic for testing existence of bilaterally contamination when there exists nuisance parameter. The test statistic is based on method of moments estimators. Union-Intersection test is used for testing if the distribution of population can be implemented by a bilaterally contaminated normal model with unknown variance. This paper also developed a hierarchical normal mixture model (HNM) and applied it to birth weight data. EM algorithm is employed for parameter estimation and a singular Bayesian information criterion (sBIC) is applied t
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8

Sarini, Sarini. "Statistical methods for modelling falls and symptoms progression in patients with early stages of Parkinson's disease." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/116208/1/_Sarini_Thesis.pdf.

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This thesis was a step forward in gaining insight into falls in people with early stages of Parkinson's disease (PD), and in monitoring the disease progression based on clinical assessments. This research contributes new knowledge by providing new insights into utilizing information provided by the clinically administered instruments used routinely for the assessment of PD severity. The novel approach to modelling the progression of PD symptoms using multi-variable clinical assessment measurements for longitudinal data provides a new perspective into disease progression.
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9

Selig, Katharina [Verfasser], Donna P. [Akademischer Betreuer] Ankerst, Pamela A. [Gutachter] Shaw, and Donna P. [Gutachter] Ankerst. "Bayesian information criterion approximations for model selection in multivariate logistic regression with application to electronic medical records / Katharina Selig ; Gutachter: Pamela A. Shaw, Donna P. Ankerst ; Betreuer: Donna P. Ankerst." München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/1211476367/34.

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10

Massidda, Davide. "Criteri dell'Informazione e Selezione dei Modelli in Misurazione Funzionale." Doctoral thesis, Università degli studi di Padova, 2012. http://hdl.handle.net/11577/3425317.

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The processes of evaluation of environmental stimuli and decision are common in everyday life and in many social and economic situations. These processes are generally described in scientific literature using multi-attribute choice models. These models assume that evaluation of a stimulus described by several attributes results from a multi-stage process (Anderson, 1981; Lynch, 1985): evaluation of the attributes, integration of the values of the attributes and explicit evaluation of the stimulus. Commonly, in this field, experimental settings require the evaluation of a set of stimuli built c
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11

Faye, Papa Abdoulaye. "Planification et analyse de données spatio-temporelles." Thesis, Clermont-Ferrand 2, 2015. http://www.theses.fr/2015CLF22638/document.

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La Modélisation spatio-temporelle permet la prédiction d’une variable régionalisée à des sites non observés du domaine d’étude, basée sur l’observation de cette variable en quelques sites du domaine à différents temps t donnés. Dans cette thèse, l’approche que nous avons proposé consiste à coupler des modèles numériques et statistiques. En effet en privilégiant l’approche bayésienne nous avons combiné les différentes sources d’information : l’information spatiale apportée par les observations, l’information temporelle apportée par la boîte noire ainsi que l’information a priori connue du phéno
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12

Frondana, Iara Moreira. "Model selection for discrete Markov random fields on graphs." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-02022018-151123/.

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In this thesis we propose to use a penalized maximum conditional likelihood criterion to estimate the graph of a general discrete Markov random field. We prove the almost sure convergence of the estimator of the graph in the case of a finite or countable infinite set of variables. Our method requires minimal assumptions on the probability distribution and contrary to other approaches in the literature, the usual positivity condition is not needed. We present several examples with a finite set of vertices and study the performance of the estimator on simulated data from theses examples. We also
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13

Ngunkeng, Grace. "Statistical Analysis of Skew Normal Distribution and its Applications." Bowling Green State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1370958073.

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14

Du, Toit Jan Valentine. "Automated construction of generalized additive neural networks for predictive data mining / Jan Valentine du Toit." Thesis, North-West University, 2006. http://hdl.handle.net/10394/128.

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In this thesis Generalized Additive Neural Networks (GANNs) are studied in the context of predictive Data Mining. A GANN is a novel neural network implementation of a Generalized Additive Model. Originally GANNs were constructed interactively by considering partial residual plots. This methodology involves subjective human judgment, is time consuming, and can result in suboptimal results. The newly developed automated construction algorithm solves these difficulties by performing model selection based on an objective model selection criterion. Partial residual plots are only utilized after the
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15

Appert, Gautier. "Information k-means, fragmentation and syntax analysis. A new approach to unsupervised machine learning." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAG011.

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Le critère de l'information k-means étend le critère des k-means en utilisant la divergence de Kullback comme fonction de perte. La fragmentation est une généralisation supplémentaire permettant l'approximation de chaque signal par une combinaison de fragments. Nous proposons un nouvel algorithme de fragmentation pour les signaux numériques se présentant comme un algorithme de compression avec perte. A l'issue de ce traitement, chaque signal est représenté par un ensemble aléatoires de labels, servant d'entrée à une procédure d'analyse syntaxique, conçue comme un algorithme de compression sans
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16

McKeone, James P. "Statistical methods for electromyography data and associated problems." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/79631/1/James_McKeone_Thesis.pdf.

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This thesis proposes three novel models which extend the statistical methodology for motor unit number estimation, a clinical neurology technique. Motor unit number estimation is important in the treatment of degenerative muscular diseases and, potentially, spinal injury. Additionally, a recent and untested statistic to enable statistical model choice is found to be a practical alternative for larger datasets. The existing methods for dose finding in dual-agent clinical trials are found to be suitable only for designs of modest dimensions. The model choice case-study is the first of its kind c
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17

Ocloo, Isaac Xoese. "Energy Distance Correlation with Extended Bayesian Information Criteria for feature selection in high dimensional models." Bowling Green State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1625238661031258.

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18

Chen, Carla Chia-Ming. "Bayesian methodology for genetics of complex diseases." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/43357/1/Carla_Chen_Thesis.pdf.

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Genetic research of complex diseases is a challenging, but exciting, area of research. The early development of the research was limited, however, until the completion of the Human Genome and HapMap projects, along with the reduction in the cost of genotyping, which paves the way for understanding the genetic composition of complex diseases. In this thesis, we focus on the statistical methods for two aspects of genetic research: phenotype definition for diseases with complex etiology and methods for identifying potentially associated Single Nucleotide Polymorphisms (SNPs) and SNP-SNP interacti
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19

Martínez-García, Marina. "Statistical analysis of neural correlates in decision-making." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/283111.

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We investigated the neuronal processes which occur during a decision- making task based on a perceptual classi cation judgment. For this purpose we have analysed three di erent experimental paradigms (somatosensory, visual, and auditory) in two di erent species (monkey and rat), with the common goal of shedding light into the information carried by neurons. In particular, we focused on how the information content is preserved in the underlying neuronal activity over time. Furthermore we considered how the decision, the stimuli, and the con dence are encoded in memory and, when the exp
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20

Кузнєцова, Наталія Володимирівна. "Методи і моделі аналізу, оцінювання та прогнозування ризиків у фінансових системах". Doctoral thesis, Київ, 2018. https://ela.kpi.ua/handle/123456789/26340.

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Роботу виконано в Інституті прикладного системного аналізу Національного технічного університету України «Київський політехнічний інститут імені Ігоря Сікорського».<br>У дисертаційній роботі розроблено системну методологію аналізу та оцінювання фінансових ризиків, яка ґрунтується на принципах системного аналізу та менеджменту ризиків, а також запропонованих принципах адаптивного та динамічного менеджменту ризиків. Методологія включає: комбінований метод обробки неповних та втрачених даних, ймовірнісно-статистичний метод оцінювання ризику фінансових втрат, динамічний метод оцінювання ризи
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21

Chang, Li-Pang, and 張立邦. "Research of applying Bayesian Information Criterion for Speaker Segmentation and Selection of Optimum Mixture Component." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/98234190954166373192.

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碩士<br>淡江大學<br>資訊管理學系<br>91<br>In this paper, we study on applying Bayesian Information Criterion (BIC) for speaker segmentation and selection of optimum model order of Gaussian Mixture Model (GMM). In the former part, we introduce the BIC-based speaker segmentation algorithm and explore the segmentation effects in window sizes, sampling rates and dimensions of voice feature. The experiment results reveal that when we set window size at 4 seconds, sampling rate at 10K Hz and 13 feature dimensions of Mel Frequency Cepstrum Coefficient, we can get better segmentation effects. After that we compar
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22

Radosavčević, Aleksa. "Risk factor modeling of Hedge Funds' strategies." Master's thesis, 2017. http://www.nusl.cz/ntk/nusl-357618.

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This thesis aims to identify main driving market risk factors of different strategies implemented by hedge funds by looking at correlation coefficients, implementing Principal Component Analysis and analyzing "loadings" for first three principal components, which explain the largest portion of the variation of hedge funds' returns. In the next step, a stepwise regression through iteration process includes and excludes market risk factors for each strategy, searching for the combination of risk factors which will offer a model with the best "fit", based on The Akaike Information Criterion - AIC
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23

Mitsakakis, Nikolaos. "Bayesian Methods in Gaussian Graphical Models." Thesis, 2010. http://hdl.handle.net/1807/24831.

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This thesis contributes to the field of Gaussian Graphical Models by exploring either numerically or theoretically various topics of Bayesian Methods in Gaussian Graphical Models and by providing a number of interesting results, the further exploration of which would be promising, pointing to numerous future research directions. Gaussian Graphical Models are statistical methods for the investigation and representation of interdependencies between components of continuous random vectors. This thesis aims to investigate some issues related to the application of Bayesian methods for Gaussian Gra
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Wang, Xiaokun 1979. "Capturing patterns of spatial and temporal autocorrelation in ordered response data : a case study of land use and air quality changes in Austin, Texas." Thesis, 2007. http://hdl.handle.net/2152/29686.

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Many databases involve ordered discrete responses in a temporal and spatial context, including, for example, land development intensity levels, vehicle ownership, and pavement conditions. An appreciation of such behaviors requires rigorous statistical methods, recognizing spatial effects and dynamic processes. This dissertation develops a dynamic spatial ordered probit (DSOP) model in order to capture patterns of spatial and temporal autocorrelation in ordered categorical response data. This model is estimated in a Bayesian framework using Gibbs sampling and data augmentation, in order to gene
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25

(8082655), Gustavo A. Valencia-Zapata. "Probabilistic Diagnostic Model for Handling Classifier Degradation in Machine Learning." Thesis, 2019.

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Several studies point out different causes of performance degradation in supervised machine learning. Problems such as class imbalance, overlapping, small-disjuncts, noisy labels, and sparseness limit accuracy in classification algorithms. Even though a number of approaches either in the form of a methodology or an algorithm try to minimize performance degradation, they have been isolated efforts with limited scope. This research consists of three main parts: In the first part, a novel probabilistic diagnostic model based on identifying signs and symptoms of each problem is presented. Secondly
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Acquah, Henry de-Graft. "Analysis of price transmission and asymmetric adjustment using Bayesian econometric methodology." Doctoral thesis, 2008. http://hdl.handle.net/11858/00-1735-0000-000D-F121-8.

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