Thematische Bibliographien / Hidden statistics / Dissertationen
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Dissertationen zum Thema „Hidden statistics“

Autor: Grafiati
Veröffentlicht am 30. Juni 2021
Zuletzt aktualisiert am 29. Juli 2025

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1

Murphy, James Kevin. "Hidden states, hidden structures : Bayesian learning in time series models." Thesis, University of Cambridge, 2014. https://www.repository.cam.ac.uk/handle/1810/250355.

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This thesis presents methods for the inference of system state and the learning of model structure for a number of hidden-state time series models, within a Bayesian probabilistic framework. Motivating examples are taken from application areas including finance, physical object tracking and audio restoration. The work in this thesis can be broadly divided into three themes: system and parameter estimation in linear jump-diffusion systems, non-parametric model (system) estimation and batch audio restoration. For linear jump-diffusion systems, efficient state estimation methods based on the vari
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Van, Gael Jurgen. "Bayesian nonparametric hidden Markov models." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610196.

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3

Varenius, Malin. "Using Hidden Markov Models to Beat OMXS30." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-409780.

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4

Tillman, Måns. "On-Line Market Microstructure Prediction Using Hidden Markov Models." Thesis, KTH, Matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208312.

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Over the last decades, financial markets have undergone dramatic changes. With the advent of the arbitrage pricing theory, along with new technology, markets have become more efficient. In particular, the new high-frequency markets, with algorithmic trading operating on micro-second level, make it possible to translate ”information” into price almost instantaneously. Such phenomena are studied in the field of market microstructure theory, which aims to explain and predict them. In this thesis, we model the dynamics of high frequency markets using non-linear hidden Markov models (HMMs). Such mo
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Bulla, Jan. "Computational Advances and Applications of Hidden (Semi-)Markov Models." Habilitation à diriger des recherches, Université de Caen, 2013. http://tel.archives-ouvertes.fr/tel-00987183.

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The document is my habilitation thesis, which is a prerequisite for obtaining the "habilitation à diriger des recherche (HDR)" in France (https://fr.wikipedia.org/wiki/Habilitation_universitaire#En_France). The thesis is of cumulative form, thus providing an overview of my published works until summer 2013.
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Ghosh, Tusharkanti. "Hierarchical hidden Markov models with applications to BiSulfite-sequencing data." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/9036/.

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DNA methylation is an epigenetic modification with significant roles in various biological processes such as gene expression and cellular proliferation. Aberrant DNA methylation patterns compared to normal cells have been associated with a large number of human malignancies and potential cancer symptoms. In DNA methylation studies, an important objective is to detect differences between two groups under distinct biological conditions, for e.g., between cancer/ageing and normal cells. BiSulfite sequencing (BS-seq) is currently the gold standard for experimentally measuring genome-wide DNA methy
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Vaicenavicius, Juozas. "Optimal Sequential Decisions in Hidden-State Models." Doctoral thesis, Uppsala universitet, Matematiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-320809.

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This doctoral thesis consists of five research articles on the general topic of optimal decision making under uncertainty in a Bayesian framework. The papers are preceded by three introductory chapters. Papers I and II are dedicated to the problem of finding an optimal stopping strategy to liquidate an asset with unknown drift. In Paper I, the price is modelled by the classical Black-Scholes model with unknown drift. The first passage time of the posterior mean below a monotone boundary is shown to be optimal. The boundary is characterised as the unique solution to a nonlinear integral equatio
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Lindberg, David Seaman III. "Enhancing Individualized Instruction through Hidden Markov Models." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1405350981.

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9

Dawson, Colin Reimer, and Colin Reimer Dawson. "HaMMLeT: An Infinite Hidden Markov Model with Local Transitions." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/626170.

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In classical mixture modeling, each data point is modeled as arising i.i.d. (typically) from a weighted sum of probability distributions. When data arises from different sources that may not give rise to the same mixture distribution, a hierarchical model can allow the source contexts (e.g., documents, sub-populations) to share components while assigning different weights across them (while perhaps coupling the weights to "borrow strength" across contexts). The Dirichlet Process (DP) Mixture Model (e.g., Rasmussen (2000)) is a Bayesian approach to mixture modeling which models the data as aris
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McGillivray, Annaliza. "A penalized quasi-likelihood approach for estimating the number of states in a hidden markov model." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110634.

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In statistical applications of hidden Markov models (HMMs), one may have no knowledge of the number of hidden states (or order) of the model needed to be able to accurately represent the underlying process of the data. The problem of estimating the number of states of the HMM is thus a task of major importance. We begin with a literature review of the major developments in the problem of order estimation for HMMs. We then propose a new penalized quasi-likelihood method for estimating the number of hidden states, which makes use of the fact that the marginal distribution of the HMM observations
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Liang, Hongkang. "Statistics of nonlinear averaging spectral estimators and a novel distance measure for HMMs with application to speech quality estimation." Laramie, Wyo. : University of Wyoming, 2005. http://proquest.umi.com/pqdweb?did=1031050291&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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Andersson, Lovisa. "An application of Bayesian Hidden Markov Models to explore traffic flow conditions in an urban area." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385187.

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This study employs Bayesian Hidden Markov Models as method to explore vehicle traffic flow conditions in an urban area in Stockholm, based on sensor data from separate road positions. Inter-arrival times are used as the observed sequences. These sequences of inter-arrival times are assumed to be generated from the distributions of four different (and hidden) traffic flow states; nightly free flow, free flow, mixture and congestion. The filtered and smoothed probability distributions of the hidden states and the most probable state sequences are obtained by using the forward, forward-backward a
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Su, Weizhe. "Bayesian Hidden Markov Model in Multiple Testing on Dependent Count Data." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613751403094066.

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Toft, Albin. "Particle-based Parameter Inference in Stochastic Volatility Models: Batch vs. Online." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252313.

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This thesis focuses on comparing an online parameter estimator to an offline estimator, both based on the PaRIS-algorithm, when estimating parameter values for a stochastic volatility model. By modeling the stochastic volatility model as a hidden Markov model, estimators based on particle filters can be implemented in order to estimate the unknown parameters of the model. The results from this thesis implies that the proposed online estimator could be considered as a superior method to the offline counterpart. The results are however somewhat inconclusive, and further research regarding the su
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Mujumdar, Monali. "Estimation of the number of syllables using hidden Markov models and design of a dysarthria classifier using global statistics of speech." Laramie, Wyo. : University of Wyoming, 2006. http://proquest.umi.com/pqdweb?did=1283963331&sid=6&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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16

Halbert, Keith. "Estimation of probability of failure for damage-tolerant aerospace structures." Thesis, Temple University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3623167.

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<p> The majority of aircraft structures are designed to be damage-tolerant such that safe operation can continue in the presence of minor damage. It is necessary to schedule inspections so that minor damage can be found and repaired. It is generally not possible to perform structural inspections prior to every flight. The scheduling is traditionally accomplished through a deterministic set of methods referred to as Damage Tolerance Analysis (DTA). DTA has proven to produce safe aircraft but does not provide estimates of the probability of failure of future flights or the probability of
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Tong, Xiao Thomas. "Statistical Learning of Some Complex Systems: From Dynamic Systems to Market Microstructure." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10917.

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A complex system is one with many parts, whose behaviors are strongly dependent on each other. There are two interesting questions about complex systems. One is to understand how to recover the true structure of a complex system from noisy data. The other is to understand how the system interacts with its environment. In this thesis, we address these two questions by studying two distinct complex systems: dynamic systems and market microstructure. To address the first question, we focus on some nonlinear dynamic systems. We develop a novel Bayesian statistical method, Gaussian Emulator, to est
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Gao, Zhiyuan, and Likai Qi. "Predicting Stock Price Index." Thesis, Halmstad University, Applied Mathematics and Physics (CAMP), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-3784.

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<p>This study is based on three models, Markov model, Hidden Markov model and the Radial basis function neural network. A number of work has been done before about application of these three models to the stock market. Though, individual researchers have developed their own techniques to design and test the Radial basis function neural network. This paper aims to show the different ways and precision of applying these three models to predict price processes of the stock market. By comparing the same group of data, authors get different results. Based on Markov model, authors find a tendency of
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Li, Xiaobai. "Stochastic models for MRI lesion count sequences from patients with relapsing remitting multiple sclerosis." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1142907194.

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Strandh, Fredrik, and Nikki Sjöberg. "Uppfattningen av mörkertalets orsaker gällande mäns våld mot kvinnor : En kvalitativ intervjustudie med personer som möter brottsoffer genom arbetet." Thesis, Högskolan i Gävle, Kriminologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-36588.

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Uppsatsens syfte var att undersöka hur personer som i yrket möter kvinnor som har varit utsatta för våld i nära relationer upplever att mörkertalet för våldet ser ut, orsaker till anmälningsbenägenhetens låga nivå, samt hur Polisens arbete upplevs fungera mot våld i nära relationer. Undersökningen genomfördes genom kvalitativa semistrukturerade intervjuer med personer i Gävleborgs län, som genom arbetet mött kvinnor som utsatts för våld i nära relationer. Uppsatsen undersökte hur intervjupersonerna som arbetar på myndigheter som Polismyndigheten och Socialtjänsten samt organisationer som kvinn
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Vernet, Elodie Edith. "Modèles de mélange et de Markov caché non-paramétriques : propriétés asymptotiques de la loi a posteriori et efficacité." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS418/document.

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Les modèles latents sont très utilisés en pratique, comme en génomique, économétrie, reconnaissance de parole... Comme la modélisation paramétrique des densités d’émission, c’est-à-dire les lois d’une observation sachant l’état latent, peut conduire à de mauvais résultats en pratique, un récent intérêt pour les modèles latents non paramétriques est apparu dans les applications. Or ces modèles ont peu été étudiés en théorie. Dans cette thèse je me suis intéressée aux propriétés asymptotiques des estimateurs (dans le cas fréquentiste) et de la loi a posteriori (dans le cadre Bayésien) dans deux
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Le, Corff Sylvain. "Estimations pour les modèles de Markov cachés et approximations particulaires : Application à la cartographie et à la localisation simultanées." Phd thesis, Telecom ParisTech, 2012. http://tel.archives-ouvertes.fr/tel-00773405.

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Dans cette thèse, nous nous intéressons à l'estimation de paramètres dans les chaînes de Markov cachées dans un cadre paramétrique et dans un cadre non paramétrique. Dans le cas paramétrique, nous imposons des contraintes sur le calcul de l'estimateur proposé : un premier volet de cette thèse est l'estimation en ligne d'un paramètre au sens du maximum de vraisemblance. Le fait d'estimer en ligne signifie que les estimations doivent être produites sans mémoriser les observations. Nous proposons une nouvelle méthode d'estimation en ligne pour les chaînes de Markov cachées basée sur l'algorithme
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Touron, Augustin. "Modélisation multivariée de variables météorologiques." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS264/document.

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La production d'énergie renouvelable et la consommation d'électricité dépendent largement des conditions météorologiques : température, précipitations, vent, rayonnement solaire... Ainsi, pour réaliser des études d'impact sur l'équilibre offre-demande, on peut utiliser un générateur de temps, c'est-à-dire un modèle permettant de simuler rapidement de longues séries de variables météorologiques réalistes, au pas de temps journalier. L'une des approches possibles pour atteindre cet objectif utilise les modèles de Markov caché : l'évolution des variables à modéliser est supposée dépendre d'une va
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Le, Corff Sylvain. "Estimations pour les modèles de Markov cachés et approximations particulaires : Application à la cartographie et à la localisation simultanées." Electronic Thesis or Diss., Paris, ENST, 2012. http://www.theses.fr/2012ENST0052.

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Dans cette thèse, nous nous intéressons à l'estimation de paramètres dans les chaînes de Markov cachées. Nous considérons tout d'abord le problème de l'estimation en ligne (sans sauvegarde des observations) au sens du maximum de vraisemblance. Nous proposons une nouvelle méthode basée sur l'algorithme Expectation Maximization appelée Block Online Expectation Maximization (BOEM). Cet algorithme est défini pour des chaînes de Markov cachées à espace d'état et espace d'observations généraux. Dans le cas d'espaces d'états généraux, l'algorithme BOEM requiert l'introduction de méthodes de Monte Car
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Lystig, Theodore C. "Evaluation of hidden Markov models /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/9597.

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Lehéricy, Luc. "Estimation adaptative pour les modèles de Markov cachés non paramétriques." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS550/document.

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Dans cette thèse, j'étudie les propriétés théoriques des modèles de Markov cachés non paramétriques. Le choix de modèles non paramétriques permet d'éviter les pertes de performance liées à un mauvais choix de paramétrisation, d'où un récent intérêt dans les applications. Dans une première partie, je m'intéresse à l'estimation du nombre d'états cachés. J'y introduis deux estimateurs consistants : le premier fondé sur un critère des moindres carrés pénalisés, le second sur une méthode spectrale. Une fois l'ordre connu, il est possible d'estimer les autres paramètres. Dans une deuxième partie, je
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McLellan, Christopher Richard. "Statistical modelling of home range and larvae movement data." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/14202.

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In this thesis, we investigate two di erent approaches to animal movement modelling; nite mixture models, and di usion processes. These models are considered in two di erent contexts, rstly for analysis of data obtained in home range studies, and then, on a much smaller scale, modelling the movements of larvae. We consider the application of mixture models to home range movement data, and compare their performance with kernel density estimators commonly used for this purpose. Mixtures of bivariate normal distributions and bivariate t distributions are considered, and the latter are found to be
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Rouf, Ishtiaq. "Statistical Analysis of Wireless Communication Systems Using Hidden Markov Models." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/43718.

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This thesis analyzes the use of hidden Markov models (HMM) in wireless communication systems. HMMs are a probabilistic method which is useful for discrete channel modeling. The simulations done in the thesis verified a previously formulated methodology. Power delay profiles (PDP) of twelve wireless receivers were used for the experiment. To reduce the computational burden, binary HMMs were used. The PDP measurements were sampled to identify static receivers and grid-based analysis. This work is significant as it has been performed in a new environment. <p> Stochastic game theory is analyzed to
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White, Nicole. "Bayesian mixtures for modelling complex medical data : a case study in Parkinson’s disease." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/48202/1/Nicole_White_Thesis.pdf.

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Mixture models are a flexible tool for unsupervised clustering that have found popularity in a vast array of research areas. In studies of medicine, the use of mixtures holds the potential to greatly enhance our understanding of patient responses through the identification of clinically meaningful clusters that, given the complexity of many data sources, may otherwise by intangible. Furthermore, when developed in the Bayesian framework, mixture models provide a natural means for capturing and propagating uncertainty in different aspects of a clustering solution, arguably resulting in richer an
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Ma, Limin. "Statistical Modeling of Video Event Mining." Ohio University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1146792818.

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ACCOTO, NADIA. "Bayesian hidden Markov models for performance-based analysis of electricity supply." Doctoral thesis, Università Bocconi, 2009. https://hdl.handle.net/11565/4053886.

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Koutsourelis, Antonios. "Bayesian extreme quantile regression for hidden Markov models." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7071.

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The main contribution of this thesis is the introduction of Bayesian quantile regression for hidden Markov models, especially when we have to deal with extreme quantile regression analysis, as there is a limited research to inference conditional quantiles for hidden Markov models, under a Bayesian approach. The first objective is to compare Bayesian extreme quantile regression and the classical extreme quantile regression, with the help of simulated data generated by three specific models, which only differ in the error term’s distribution. It is also investigated if and how the error term’s d
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Ramachandran, Sowmya. "Theory refinement of Bayesian networks with hidden variables /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Akbar, Ihsan Ali. "Statistical Analysis of Wireless Systems Using Markov Models." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26089.

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Being one of the fastest growing fields of engineering, wireless has gained the attention of researchers and commercial businesses all over the world. Extensive research is underway to improve the performance of existing systems and to introduce cutting edge wireless technologies that can make high speed wireless communications possible. The first part of this dissertation deals with discrete channel models that are used for simulating error traces produced by wireless channels. Most of the time, wireless channels have memory and we rely on discrete time Markov models to simulate them. The pr
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Kecskemetry, Peter D. "Computationally intensive methods for hidden Markov models with applications to statistical genetics." Thesis, University of Oxford, 2014. https://ora.ox.ac.uk/objects/uuid:8dd5d68d-27e9-4412-868c-0477e438a2c5.

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In most fields of technology and science, the exponential increase of available data is an apparent trend. In genetics, the main contributor to this trend is the improving efficiency of sequencing technologies. While the Human Genome project focused on assembling a single reference sequence not long ago, now there are aims to sequence million genomes in upcoming projects. The consequent computational challenge is being able to utilise this wealth of data, which requires the development of sufficiently powerful methods for analysis. However, the speed of transistor-based computing processors ha
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Gradit, Sébastien. "Using statistical profiling to decipher hidden chromatin contacts resulting from repeated sequences." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS494.

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Les génomes ne sont pas des entités statiques ; ils évoluent et acquièrent divers éléments répétés tels que des rétrotransposons, des gènes dupliqués et des répétitions en tandem. Ces éléments, bien que cruciaux pour la fonction et l'évolution du génome, posent un défi important à la génomique moderne en raison des limites des technologies de séquençage de nouvelle génération (NGS). Les technologies NGS produisent des lectures courtes qui ne peuvent être mises en correspondance sans ambiguïté avec les régions répétitives, ce qui a pour conséquence de les exclure de la plupart des analyses. Cet
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Hu, Rusheng. "Statistical optimization of acoustic models for large vocabulary speech recognition." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4329.

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Thesis (Ph. D.) University of Missouri-Columbia, 2006.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 2, 2007) Includes bibliographical references.
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Andrés, Ferrer Jesús. "Statistical approaches for natural language modelling and monotone statistical machine translation." Doctoral thesis, Universitat Politècnica de València, 2010. http://hdl.handle.net/10251/7109.

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Esta tesis reune algunas contribuciones al reconocimiento de formas estadístico y, más especícamente, a varias tareas del procesamiento del lenguaje natural. Varias técnicas estadísticas bien conocidas se revisan en esta tesis, a saber: estimación paramétrica, diseño de la función de pérdida y modelado estadístico. Estas técnicas se aplican a varias tareas del procesamiento del lenguajes natural tales como clasicación de documentos, modelado del lenguaje natural y traducción automática estadística. En relación con la estimación paramétrica, abordamos el problema del suavizado proponiendo u
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Bulla, Jan. "Application of Hidden Markov and Hidden Semi-Markov Models to Financial Time Series." Doctoral thesis, [S.l. : s.n.], 2006. http://swbplus.bsz-bw.de/bsz260867136inh.pdf.

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Friedrich, Torben. "New statistical Methods of Genome-Scale Data Analysis in Life Science - Applications to enterobacterial Diagnostics, Meta-Analysis of Arabidopsis thaliana Gene Expression and functional Sequence Annotation." kostenfrei, 2009. http://www.opus-bayern.de/uni-wuerzburg/volltexte/2009/3985/.

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Herman, Joseph L. "Multiple sequence analysis in the presence of alignment uncertainty." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:88a56d9f-a96e-48e3-b8dc-a73f3efc8472.

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Sequence alignment is one of the most intensely studied problems in bioinformatics, and is an important step in a wide range of analyses. An issue that has gained much attention in recent years is the fact that downstream analyses are often highly sensitive to the specific choice of alignment. One way to address this is to jointly sample alignments along with other parameters of interest. In order to extend the range of applicability of this approach, the first chapter of this thesis introduces a probabilistic evolutionary model for protein structures on a phylogenetic tree; since protein stru
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Prosdocimi, Cecilia. "Partial exchangeability and change detection for hidden Markov models." Doctoral thesis, Università degli studi di Padova, 2010. http://hdl.handle.net/11577/3423210.

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The thesis focuses on Hidden Markov Models (HMMs). They are very popular models, because they have a more versatile structure than independent identically distributed sequences or Markov chains, but they are still tractable. It is thus of interest to look for properties of i.i.d. sequences that hold true also for HHMs, and this is the object of the thesis. In the first part we concentrate on a probabilistic problem. In particular we focus on exchangeable and partially exchangeable sequences, and we find conditions to realize them as HHMs. For a special class of binary exchangeable sequence
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Kalaj, Ermira Hoxha. "Hidden Consequences of Remittances: The micro impact of remittance flows in the Albanian remittance-receiving households'€™ behavior." Doctoral thesis, University of Trento, 2013. http://eprints-phd.biblio.unitn.it/990/1/Hidden_Consequences_of_Remittances.pdf.

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During the last two decades, South-East European countries have experienced a large increase in the number of people migrating to more developed countries. With a large portion of their population abroad, these countries are highly dependent on remittances, which in the case of Albania far exceed Foreign Direct Investments. Using household survey data for Albania, the first part of the study compares decision-making about human capital investment in remittance-receiving households and non-remittance-receiving households. The Cox proportional hazard model is used to capture the effects of remi
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44

Alvarado, Barrantes Ricardo. "Statistical models in biogeography." Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3423067.

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We concentrate on the statistical methods used in Biogeography for modelling the spatial distribution of bird species. Due to the difficulty of specifying a joint multivariate spatial covariance structure in environmental processes, we factor such a joint distribution into a series of conditional models linked together in a hierarchical framework. We have a process that corresponds to an unobservable map with the actual information about a bird species, and the data correspond to the observations that are connected to that process. Markov chain Monte Carlo (MCMC) simulation approaches are used
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Zayed, Ahmed Abdelfattah. "Microbe-Environment Interactions in Arctic and Subarctic Systems." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1562494472055278.

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46

Berberovic, Adnan, and Alexander Eriksson. "A Multi-Factor Stock Market Model with Regime-Switches, Student's T Margins, and Copula Dependencies." Thesis, Linköpings universitet, Produktionsekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143715.

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Investors constantly seek information that provides an edge over the market. One of the conventional methods is to find factors which can predict asset returns. In this study we improve the Fama and French Five-Factor model with Regime-Switches, student's t distributions and copula dependencies. We also add price momentum as a sixth factor and add a one-day lag to the factors. The Regime-Switches are obtained from a Hidden Markov Model with conditional Student's t distributions. For the return process we use factor data as input, Student's t distributed residuals, and Student's t copula depend
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Warraich, Daud Sana Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "Ultrasonic stochastic localization of hidden discontinuities in composites using multimodal probability beliefs." Publisher:University of New South Wales. Mechanical & Manufacturing Engineering, 2009. http://handle.unsw.edu.au/1959.4/43719.

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This thesis presents a technique used to stochastically estimate the location of hidden discontinuities in carbon fiber composite materials. Composites pose a challenge to signal processing because speckle noise, as a result of reflections from impregnated laminas, masks useful information and impedes detection of hidden discontinuities. Although digital signal processing techniques have been exploited to lessen speckle noise and help to localize discontinuities, uncertainty in ultrasonic wave propagation and broadband frequency based inspections of composites still make it a difficult task. T
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Delattre, Maud. "Inférence statistique dans les modèles mixtes à dynamique Markovienne." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00765708.

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La première partie de cette thèse est consacrée à l'estimation par maximum de vraisemblance dans les modèles mixtes à dynamique markovienne. Nous considérons plus précisément des modèles de Markov cachés à effets mixtes et des modèles de diffusion à effets mixtes. Dans le Chapitre 2, nous combinons l'algorithme de Baum-Welch à l'algorithme SAEM pour estimer les paramètres de population dans les modèles de Markov cachés à effets mixtes. Nous proposons également des procédures spécifiques pour estimer les paramètres individuels et les séquences d' états cachées. Nous étudions les propriétés de c
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Zhao, David Yuheng. "Model Based Speech Enhancement and Coding." Doctoral thesis, Stockholm : Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4412.

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50

Al-Muhtaseb, Husni A. "Arabic text recognition of printed manuscripts. Efficient recognition of off-line printed Arabic text using Hidden Markov Models, Bigram Statistical Language Model, and post-processing." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4426.

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Arabic text recognition was not researched as thoroughly as other natural languages. The need for automatic Arabic text recognition is clear. In addition to the traditional applications like postal address reading, check verification in banks, and office automation, there is a large interest in searching scanned documents that are available on the internet and for searching handwritten manuscripts. Other possible applications are building digital libraries, recognizing text on digitized maps, recognizing vehicle license plates, using it as first phase in text readers for visually impaired peop
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