Thematische Bibliographien / Hidden Markov modelling / Dissertationen
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Dissertationen zum Thema „Hidden Markov modelling“

Autor: Grafiati
Veröffentlicht am 26. Juni 2021
Zuletzt aktualisiert am 29. Juli 2025

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1

Erlwein, Christina. "Applications of hidden Markov models in financial modelling." Thesis, Brunel University, 2008. http://bura.brunel.ac.uk/handle/2438/7898.

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Various models driven by a hidden Markov chain in discrete or continuous time are developed to capture the stylised features of market variables whose levels or values constitute as the underliers of financial derivative contracts or investment portfolios. Since the parameters are switching regimes, the changes and developments in the economy as soon as they arise are readily reflected in these models. The change of probability measure technique and the EM algorithm are fundamental techniques utilised in the optimal parameter estimation. Recursive adaptive filters for the state of the Markov c
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Bai, Jiongjun. "Adaptive hidden Markov noise modelling for speech enhancement." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/11158.

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A robust and reliable noise estimation algorithm is required in many speech enhancement systems. The aim of this thesis is to propose and evaluate a robust noise estimation algorithm for highly non-stationary noisy environments. In this work, we model the non-stationary noise using a set of discrete states with each state representing a distinct noise power spectrum. In this approach, the state sequence over time is conveniently represented by a Hidden Markov Model (HMM). In this thesis, we first present an online HMM re-estimation framework that models time-varying noise using a Hidden Markov
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3

Ljolje, A. "Intonation and phonetic segmentation using hidden Markov models." Thesis, University of Cambridge, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377219.

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4

Samaria, Ferdinando Silvestro. "Face recognition using Hidden Markov Models." Thesis, University of Cambridge, 1995. https://www.repository.cam.ac.uk/handle/1810/244871.

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This dissertation introduces work on face recognition using a novel technique based on Hidden Markov Models (HMMs). Through the integration of a priori structural knowledge with statistical information, HMMs can be used successfully to encode face features. The results reported are obtained using a database of images of 40 subjects, with 5 training images and 5 test images for each. It is shown how standard one-dimensional HMMs in the shape of top-bottom models can be parameterised, yielding successful recognition rates of up to around 85%. The insights gained from top-bottom models are extend
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5

Wong, Georges. "Improved speech hidden Markov modelling via an expectation-maximization framework." Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259544.

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6

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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Zhang, X. "A semi-hidden Markov model and its application to speech recognition." Thesis, Swansea University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378829.

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8

Leggetter, Christopher John. "Improved acoustic modelling for HMMs using linear transformations." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361709.

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9

Henderson, Daniel Adrian. "Modelling and analysis of non-coding DNA sequence data." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299427.

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10

Chis, Tiberiu. "Performance modelling with adaptive hidden Markov models and discriminatory processor sharing queues." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/39049.

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In modern computer systems, workload varies at different times and locations. It is important to model the performance of such systems via workload models that are both representative and efficient. For example, model-generated workloads represent realistic system behaviour, especially during peak times, when it is crucial to predict and address performance bottlenecks. In this thesis, we model performance, namely throughput and delay, using adaptive models and discrete queues. Hidden Markov models (HMMs) parsimoniously capture the correlation and burstiness of workloads with spatiotemporal ch
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Germain, Sarah Elizabeth. "Bayesian spatio-temporal modelling of rainfall through non-homogenous hidden Markov models." Thesis, University of Newcastle Upon Tyne, 2010. http://hdl.handle.net/10443/1045.

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Multi-site statistical models for daily rainfall should account for spatial and temporal dependence amongst measurements and also allow for the event of no rain. Recent research into climate change and variability has sparked interest in the relationship between rainfall and climate, stimulating the development of statistical models that relate large-scale atmospheric variables to local precipitation. Although modelling daily rainfall presents a challenging and topical problem, there have been few attempts taking a subjective Bayesian approach. This thesis is concerned with developing hidden M
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Duong, Thi V. T. "Efficient duration modelling in the hierarchical hidden semi-Markov models and their applications." Thesis, Curtin University, 2008. http://hdl.handle.net/20.500.11937/1408.

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Modeling patterns in temporal data has arisen as an important problem in engineering and science. This has led to the popularity of several dynamic models, in particular the renowned hidden Markov model (HMM) [Rabiner, 1989]. Despite its widespread success in many cases, the standard HMM often fails to model more complex data whose elements are correlated hierarchically or over a long period. Such problems are, however, frequently encountered in practice. Existing efforts to overcome this weakness often address either one of these two aspects separately, mainly due to computational intractabil
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Duong, Thi V. T. "Efficient duration modelling in the hierarchical hidden semi-Markov models and their applications." Curtin University of Technology, Dept. of Computing, 2008. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=18610.

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Modeling patterns in temporal data has arisen as an important problem in engineering and science. This has led to the popularity of several dynamic models, in particular the renowned hidden Markov model (HMM) [Rabiner, 1989]. Despite its widespread success in many cases, the standard HMM often fails to model more complex data whose elements are correlated hierarchically or over a long period. Such problems are, however, frequently encountered in practice. Existing efforts to overcome this weakness often address either one of these two aspects separately, mainly due to computational intractabil
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Li, Shikun. "Network Exceptions Modelling Using Hidden Markov Model : A Case Study of Ericsson’s DroppedCall Data." Thesis, Uppsala universitet, Statistiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-251382.

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In telecommunication, the series of mobile network exceptions is a processwhich exhibits surges and bursts. The bursty part is usually caused by systemmalfunction. Additionally, the mobile network exceptions are often timedependent. A model that successfully captures these aspects will make troubleshootingmuch easier for system engineers. The Hidden Markov Model(HMM) is a good candidate as it provides a mechanism to capture both thetime dependency and the random occurrence of bursts. This thesis focuses onan application of the HMM to mobile network exceptions, with a case study ofEricsson’s Dr
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梁舜德 and Shun Tak Albert Leung. "A study of some variations on the hidden Markov modelling approach to speaker independent isolated word speech recognition." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B31209294.

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Leung, Shun Tak Albert. "A study of some variations on the hidden Markov modelling approach to speaker independent isolated word speech recognition /." [Hong Kong : University of Hong Kong], 1990. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12782956.

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Kaval, Katsiaryna. "Aspects of link-save trading in markets with frictions and financial modelling using hidden Markov models." Thesis, University of Glasgow, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419174.

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18

Van, Heerden Charl Johannes. "Phoneme duration modelling for speaker verification." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-06262009-150945/.

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19

Huss, Anders. "Hybrid Model Approach to Appliance Load Disaggregation : Expressive appliance modelling by combining convolutional neural networks and hidden semi Markov models." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-179200.

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The increasing energy consumption is one of the greatest environmental challenges of our time. Residential buildings account for a considerable part of the total electricity consumption and is further a sector that is shown to have large savings potential. Non Intrusive Load Monitoring (NILM), i.e. the deduction of the electricity consumption of individual home appliances from the total electricity consumption of a household, is a compelling approach to deliver appliance specific consumption feedback to consumers. This enables informed choices and can promote sustainable and cost saving action
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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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Economou, Theodoros. "Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure." Thesis, University of Exeter, 2010. http://hdl.handle.net/10036/111499.

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Recurrent events are very common in a wide range of scientific disciplines. The majority of statistical models developed to characterise recurrent events are derived from either reliability theory or survival analysis. This thesis concentrates on applications that arise from reliability, which in general involve the study about components or devices where the recurring event is failure. Specifically, interest lies in repairable components that experience a number of failures during their lifetime. The goal is to develop statistical models in order to gain a good understanding about the driving
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Dosis, Aristotelis. "Modelling and assessment of surgical dexterity in laparoscopic and robotically assisted surgery using synchronized video-motion analysis and hidden Markov models." Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424908.

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23

Laurinčiukaitė, Sigita. "Acoustic modelling of Lithuanian speech recognition." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080626_121551-77545.

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This paper is devoted to an acoustic modelling of Lithuanian speech recognition. Word-, syllable-, contextual syllable-, phoneme- and contextual phoneme-based speech recognition was investigated. Investigations were performed for isolated words and continuous speech. The most popular sub-word units in Lithuanian speech recognition are phonemes and contextual phonemes, and research on other sub-word units is omitted. This paper aims to compare capacity of linguistic sub-word units to model speech and to demonstrate that investigation of sub-word units suggest using alternative sub-word units 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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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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Kong, Weicong. "Advanced Customer Data Analytics for the Future Smart Grid." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/16757.

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The penetration of renewable energy generation is expected to keep increasing for the years to come. Power grid needs to become more intelligent to accommodate such renewable sources. One of enabling approaches is through smarter and more reliable demand-side management. To successfully promote and deploy a broad range of demand-side management measures, we will need to make full use of and extract more actionable insights from the massive volume of under-utilised smart grid data. Therefore, approaches towards such advanced data intelligence are the main focus of this thesis. Appliance-level l
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Starke, Martin, Benjamin Beck, Denis Ritz, Frank Will, and Jürgen Weber. "Frequency based efficiency evaluation - from pattern recognition via backwards simulation to purposeful drive design." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71072.

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The efficiency of hydraulic drive systems in mobile machines is influenced by several factors, like the operators’ guidance, weather conditions, material respectively loading properties and primarily the working cycle. This leads to varying operation points, which have to be performed by the drive system. Regarding efficiency analysis, the usage of standardized working cycles gained through measurements or synthetically generated is state of the art. Thereby, only a small extract of the real usage profile is taken into account. This contribution deals with process pattern recognition (PPR) and
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Panton, Mark Stuart. "Off-line signature verification using ensembles of local Radon transform-based HMMs." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/6903.

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Thesis (MSc)--Stellenbosch University, 2011.<br>ENGLISH ABSTRACT: An off-line signature verification system attempts to authenticate the identity of an individual by examining his/her handwritten signature, after it has been successfully extracted from, for example, a cheque, a debit or credit card transaction slip, or any other legal document. The questioned signature is typically compared to a model trained from known positive samples, after which the system attempts to label said signature as genuine or fraudulent. Classifier fusion is the process of combining individual classifiers,
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Rosser, Gabriel A. "Mathematical modelling and analysis of aspects of bacterial motility." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:1af98367-aa2f-4af3-9344-8c361311b553.

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The motile behaviour of bacteria underlies many important aspects of their actions, including pathogenicity, foraging efficiency, and ability to form biofilms. In this thesis, we apply mathematical modelling and analysis to various aspects of the planktonic motility of flagellated bacteria, guided by experimental observations. We use data obtained by tracking free-swimming Rhodobacter sphaeroides under a microscope, taking advantage of the availability of a large dataset acquired using a recently developed, high-throughput protocol. A novel analysis method using a hidden Markov model for the i
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Laurinčiukaitė, Sigita. "Lietuvių šnekos atpažinimo akustinis modeliavimas." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080626_121701-05189.

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Darbas „Lietuvių šnekos atpažinimo akustinis modeliavimas“ yra skirtas lietuvių šnekos atpažinimo akustiniam modeliavimui. Darbe buvo tirtas žodžiais, skiemenimis, kontekstiniais skiemenimis, fonemomis ir kontekstinėmis fonemomis grįstas šnekos atpažinimas. Tyrimai atlikti izoliuotiems žodžiams ir ištisinei šnekai. Iki šiol lietuvių šnekos atpažinime populiariausi kalbos vienetai buvo fonema ir kontekstinė fonema, o kitų kalbos vienetų analizė nebuvo atliekama. Šiame darbe siekiama palyginti lingvistinio tipo kalbos vienetų gebėjimą modeliuoti šneką ir parodyti, kad kalbos vienetų analizė siūl
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Knab, Bernhard. "Erweiterungen von Hidden-Markov-Modellen zur Analyse ökonomischer Zeitreihen." [S.l. : s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=96144195X.

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Oberle, Stefan. "Detektion und Estimation von akustischen Signalen mit Hidden-Markov-Modellen /." [S.l.] : [s.n.], 1998. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=12936.

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33

Koserski, Jan. "Analyse der Ratingmigrationen interner Ratingsysteme mit Markov-Ketten, Hidden-Markov-Modellen und Neuronalen Netzen /." Aachen : Shaker, 2006. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015604019&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Koserski, Jan [Verfasser]. "Analyse der Ratingmigrationen interner Ratingsysteme mit Markov-Ketten, Hidden-Markov-Modellen und Neuronalen Netzen / Jan Koserski." Aachen : Shaker, 2006. http://d-nb.info/1166515184/34.

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Carlsson, Anders, and Linus Lauri. "Modellering av finansiella data med dolda markovmodeller / Analysis of Financial Data with Hidden Markov Models." Thesis, KTH, Matematisk statistik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105526.

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The prediction and understanding of market fluctuations are of great interest in today’s society. A common tool for analyzing financial data is the use of different statistical models. This report will focus on examining the stability of a financial data sequence using a statistical model. The sequence that will be used in the report is the logarithmic return of OMXS30 index between the 30th of March 2005 and the 6th of March 2009. The statistical model that will be used is a HMM ( Hidden Markov Model). This model consists essentially of two stochastic processes:  A non-observable Markov chai
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Bieler, Kaspar. "Vergleich von Multilayer Perzeptron, Kohonen Maps und Hidden Markov Modellen für die Fehlerdiagnose in elektrischen Energieübertragungssystemen /." [S.l.] : [s.n.], 1994. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=10861.

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Raillani, Hajar. "Disaster mοdelling and emergency facilities lοcatiοn under uncertainties : a case study οf the Μοrοccan relief supply chain". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMIR10.

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La modélisation des catastrophes et la localisation des installations sont des aspects essentiels de la gestion des catastrophes qui contribuent à améliorer l’efficacité et l’efficience des chaînes d’approvisionnement des secours. Cependant, les incertitudes inhérentes aux catastrophes et aux chaînes d’approvisionnement des secours peuvent avoir un impact significatif sur l’efficacité de ces modèles. Pour relever ce défi, la thèse propose l'utilisation de modèles basés sur la quantification de l'incertitude et de modèles basés sur Markov caché pour la modélisation des catastrophes dans le cont
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Falk, Matthew Gregory. "Incorporating uncertainty in environmental models informed by imagery." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/33235/1/Matthew_Falk_Thesis.pdf.

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In this thesis, the issue of incorporating uncertainty for environmental modelling informed by imagery is explored by considering uncertainty in deterministic modelling, measurement uncertainty and uncertainty in image composition. Incorporating uncertainty in deterministic modelling is extended for use with imagery using the Bayesian melding approach. In the application presented, slope steepness is shown to be the main contributor to total uncertainty in the Revised Universal Soil Loss Equation. A spatial sampling procedure is also proposed to assist in implementing Bayesian melding given th
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Balasubramanian, Vijay. "Equivalence and Reduction of Hidden Markov Models." 1993. http://hdl.handle.net/1721.1/6801.

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This report studies when and why two Hidden Markov Models (HMMs) may represent the same stochastic process. HMMs are characterized in terms of equivalence classes whose elements represent identical stochastic processes. This characterization yields polynomial time algorithms to detect equivalent HMMs. We also find fast algorithms to reduce HMMs to essentially unique and minimal canonical representations. The reduction to a canonical form leads to the definition of 'Generalized Markov Models' which are essentially HMMs without the positivity constraint on their parameters. We disc
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Whiting, Julian Peter. "Identification and modelling of hydrological persistence with hidden Markov models." 2006. http://hdl.handle.net/2440/37842.

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Hydrological observations are characterised by wet and dry cycles, a characteristic that is termed hydrological persistence. Interactions between global climate phenomena and the hydrological cycle result in rainfall and streamflow data clustering into wetter and drier states. These states have implications for the management and planning of water resources. Statistical tests constructed from the theory of wet and dry spells indicate that evidence for persistence in monthly observations is more compelling than at an annual scale. This thesis demonstrates that examination of monthly data yields
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Whiting, Julian Peter. "Identification and modelling of hydrological persistence with hidden Markov models." Thesis, 2006. http://hdl.handle.net/2440/37842.

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Hydrological observations are characterised by wet and dry cycles, a characteristic that is termed hydrological persistence. Interactions between global climate phenomena and the hydrological cycle result in rainfall and streamflow data clustering into wetter and drier states. These states have implications for the management and planning of water resources. Statistical tests constructed from the theory of wet and dry spells indicate that evidence for persistence in monthly observations is more compelling than at an annual scale. This thesis demonstrates that examination of monthly data yiel
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Pattison, Vivian. "A hidden Markov modelling approach to understanding Ancient Murrelet behaviour and foraging habitat." Thesis, 2020. http://hdl.handle.net/1828/11698.

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Seabird species are increasingly threatened around the world due to a range of anthropogenic impacts affecting at-sea and breeding habitat. One such species is the Ancient Murrelet, an Alcid species nesting on the Pacific Coast of Canada. Ancient Murrelets are an important species in Canadian waters as approximately 50 % of the world’s breeding population nest in a small region of the British Columbia coast. Ancient Murrelets are listed as a species of Special Concern, due to threats in their breeding colonies; threats to their at-sea habitat, such as disturbance from shipping traffic, oil pol
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Frost, Andrew James. "Spatio-temporal hidden Markov models for incorporating interannual variability in rainfall." Thesis, 2004. http://hdl.handle.net/1959.13/24868.

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Two new spatio-temporal hidden Markov models (HMM) are introduced in this thesis, with the purpose of capturing the persistent, spatially non-homogeneous nature of climate influence on annual rainfall series observed in Australia. The models extend the two-state HMM applied by Thyer (2001) by relaxing the assumption that all sites are under the same climate control. The Switch HMM (SHMM) allows at-site anomalous states, whilst still maintaining a regional control. The Regional HMM (RHMM), on the other hand, allows sites to be partitioned into different Markovian state regions. The analyses wer
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Frost, Andrew James. "Spatio-temporal hidden Markov models for incorporating interannual variability in rainfall." 2004. http://hdl.handle.net/1959.13/24868.

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Two new spatio-temporal hidden Markov models (HMM) are introduced in this thesis, with the purpose of capturing the persistent, spatially non-homogeneous nature of climate influence on annual rainfall series observed in Australia. The models extend the two-state HMM applied by Thyer (2001) by relaxing the assumption that all sites are under the same climate control. The Switch HMM (SHMM) allows at-site anomalous states, whilst still maintaining a regional control. The Regional HMM (RHMM), on the other hand, allows sites to be partitioned into different Markovian state regions. The analyses wer
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Soleimani, Morteza, I. Felician Campean, and Daniel Neagu. "Integration of Hidden Markov Modelling and Bayesian Network for Fault Detection and Prediction of Complex Engineered Systems." 2021. http://hdl.handle.net/10454/18518.

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yes<br>This paper presents a methodology for fault detection, fault prediction and fault isolation based on the integration of hidden Markov modelling (HMM) and Bayesian networks (BN). This addresses the nonlinear and non-Gaussian data characteristics to support fault detection and prediction, within an explainable hybrid framework that captures causality in the complex engineered system. The proposed methodology is based on the analysis of the pattern of similarity in the log-likelihood (LL) sequences against the training data for the mixture of Gaussians HMM (MoG-HMM). The BN model iden
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46

Thyer, Mark Andrew. "Modelling Long-Term Persistence in Hydrological Time Series." Thesis, 2001. http://hdl.handle.net/1959.13/24891.

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The hidden state Markov (HSM) model is introduced as a new conceptual framework for modelling long-term persistence in hydrological time series. Unlike the stochastic models currently used, the conceptual basis of the HSM model can be related to the physical processes that influence long-term hydrological time series in the Australian climatic regime. A Bayesian approach was used for model calibration. This enabled rigourous evaluation of parameter uncertainty, which proved crucial for the interpretation of the results. Applying the single site HSM model to rainfall data from selected Australi
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47

Thyer, Mark Andrew. "Modelling Long-Term Persistence in Hydrological Time Series." 2001. http://hdl.handle.net/1959.13/24891.

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The hidden state Markov (HSM) model is introduced as a new conceptual framework for modelling long-term persistence in hydrological time series. Unlike the stochastic models currently used, the conceptual basis of the HSM model can be related to the physical processes that influence long-term hydrological time series in the Australian climatic regime. A Bayesian approach was used for model calibration. This enabled rigourous evaluation of parameter uncertainty, which proved crucial for the interpretation of the results. Applying the single site HSM model to rainfall data from selected Australi
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48

Startek, Michał. "Modelling the evolution of mobile genetic elements." Doctoral thesis, 2014.

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This thesis studies the long-standing question about the role of transposable elements in host genomes. We put forward and study a hypothesis that transposable elements may act as evolutionary helpers, hastening the adaptation of the host organism to a new environment, while remaining inactive during periods of environmental stability.This hypothesis is analyzed by a modelling approach: we construct and study a computational model of transposable element proliferation, in conditions of environmental stress, then we show that environmental stress causes a burst of transposable element activity,
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49

Hladky, Stephen Michael. "Predicting opponent locations in first-person shooter video games." Master's thesis, 2009. http://hdl.handle.net/10048/600.

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Thesis (M. Sc.)--University of Alberta, 2009.<br>Title from PDF file main screen (viewed on Oct. 2, 2009). "A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science, Department of Computing Science, University of Alberta." Includes bibliographical references.
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Jiang, Rui. "System Availability Maximization and Residual Life Prediction under Partial Observations." Thesis, 2011. http://hdl.handle.net/1807/31792.

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Many real-world systems experience deterioration with usage and age, which often leads to low product quality, high production cost, and low system availability. Most previous maintenance and reliability models in the literature do not incorporate condition monitoring information for decision making, which often results in poor failure prediction for partially observable deteriorating systems. For that reason, the development of fault prediction and control scheme using condition-based maintenance techniques has received considerable attention in recent years. This research presents a new fram
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