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Rozprawy doktorskie na temat „Averaging”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Dona', Eleonora <1987&gt. "Dollar Cost Averaging VS Suited Dollar Cost Averaging." Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/6960.

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The Dollar Cost Averaging is a strategy based on periodic investment of a fixed amount of money, even small one, into a stock or a portfolio each interval over a given period of time. In this way it may be possible to reduce the volatility effects on the market, since each payments could be done both with positive and with negative conditions. What if the investment is not regular in time, but changes according to the market trend? This thesis project aims to compare the standard Dollar Cost Averaging with a suited plan. The amount of money for each instalment will be kept the same as for the

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Ullah, Barkat. "Signal Averaging for Digitizer ADQ214." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143779.

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Signal averaging is a signal processing technique applied in the time domain, intended to increase the strength of a signal relative to noise that is obscuring it. From a very long sequence of data, a number of smaller data sequences called records are collected. The form of averaging performed in this thesis was not among samples within a record, but among samples from different records. For example, let's say a sample x(n, k) which is a sample n from record k, where 1 <= n <= N and N is the record size, and 1 <= k <= K, where K is the total number of records it would perform the

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3

Chaput, Philippe. "Approximating Markov processes by averaging." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66654.

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We recast the theory of labelled Markov processes in a new setting, in a way "dual" to the usual point of view. Instead of considering state transitions as a collection of subprobability distributions on the state space, we view them as transformers of real-valued functions. By generalizing the operation of conditional expectation, we build a category consisting of labelled Markov processes viewed as a collection of operators; the arrows of this category behave as projections on a smaller state space. We define a notion of equivalence for such processes, called bisimulation,

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4

Verra, Christina. "Macroeconomic forecasting using model averaging." Thesis, Queen Mary, University of London, 2009. http://qmro.qmul.ac.uk/xmlui/handle/123456789/383.

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Recently, there has been a broadening concern on forecasting techniques that are applied on large data sets, since economists in business and management want to deal with the great magnitude of information. In this analysis, the issue of forecasting a large data set by using different model averaging approaches is addressed. In particular, Bayesian and frequentist model averaging methods are considered, including Bayesian model averaging (BMA), information theoretic model averaging (ITMA) and predictive likelihood model averaging (PLMA). The predictive performance of each scheme is compared wi

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Rajagopalan, Shreevatsa. "Distributed averaging in dynamic networks." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62315.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2010.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 39-40).<br>The question of computing average of numbers present at nodes in a network in a distributed manner using gossip or message-passing algorithms has been of great recent interest across disciplines -- algorithms, control and

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6

Li, Lan (Simone). "Disparity averaging mechanisms in stereopsis." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2007. http://wwwlib.umi.com/cr/syr/main.

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Afsari, Bijan. "Means and averaging on riemannian manifolds." College Park, Md. : University of Maryland, 2009. http://hdl.handle.net/1903/9978.

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Thesis (Ph.D.) -- University of Maryland, College Park, 2009.<br>Thesis research directed by: Dept. of Mathematics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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8

Pan, Fei. "Multifrequency Averaging in Power Electronic Systems." UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/62.

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Power electronic systems have been widely used in the electrical power processing for applications with power levels ranging from less than one watt in battery-operated portable devices to more than megawatts in the converters, inverters and rectifiers of the utility power systems. These systems typically involve the passive elements such as inductors, capacitors, and resistors, the switching electronic components such as IGBTs, MOSFETS, and diodes, and other electronic circuits. Multifrequency averaging is one of the widely used modeling and simulation techniques today for the analysis and de

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9

Amini, Moghadam Shahram. "Model Uncertainty & Model Averaging Techniques." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28398.

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The primary aim of this research is to shed more light on the issue of model uncertainty in applied econometrics in general and cross-country growth as well as happiness and well-being regressions in particular. Model uncertainty consists of three main types: theory uncertainty, focusing on which principal determinants of economic growth or happiness should be included in a model; heterogeneity uncertainty, relating to whether or not the parameters that describe growth or happiness are identical across countries; and functional form uncertainty, relating to which growth and well-being regresso

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10

Noble, Robert Bruce. "Multivariate Applications of Bayesian Model Averaging." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/30180.

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The standard methodology when building statistical models has been to use one of several algorithms to systematically search the model space for a good model. If the number of variables is small then all possible models or best subset procedures may be used, but for data sets with a large number of variables, a stepwise procedure is usually implemented. The stepwise procedure of model selection was designed for its computational efficiency and is not guaranteed to find the best model with respect to any optimality criteria. While the model selected may not be the best possible of those in the

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11

Vela, Patricio Antonio Burdick Joel Wakeman. "Averaging and control of nonlinear systems /." Diss., Pasadena, Calif. : California Institute of Technology, 2003. http://resolver.caltech.edu/CaltechETD:etd-05282003-094253.

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12

Grappin, Edwin. "Model Averaging in Large Scale Learning." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLG001/document.

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Les travaux de cette thèse explorent les propriétés de procédures d'estimation par agrégation appliquées aux problèmes de régressions en grande dimension. Les estimateurs par agrégation à poids exponentiels bénéficient de résultats théoriques optimaux sous une approche PAC-Bayésienne. Cependant, le comportement théorique de l'agrégat avec extit{prior} de Laplace n'est guère connu. Ce dernier est l'analogue du Lasso dans le cadre pseudo-bayésien. Le Chapitre 2 explicite une borne du risque de prédiction de cet estimateur. Le Chapitre 3 prouve qu'une méthode de simulation s'appuyant sur un proce

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Grappin, Edwin. "Model Averaging in Large Scale Learning." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLG001.

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Les travaux de cette thèse explorent les propriétés de procédures d'estimation par agrégation appliquées aux problèmes de régressions en grande dimension. Les estimateurs par agrégation à poids exponentiels bénéficient de résultats théoriques optimaux sous une approche PAC-Bayésienne. Cependant, le comportement théorique de l'agrégat avec extit{prior} de Laplace n'est guère connu. Ce dernier est l'analogue du Lasso dans le cadre pseudo-bayésien. Le Chapitre 2 explicite une borne du risque de prédiction de cet estimateur. Le Chapitre 3 prouve qu'une méthode de simulation s'appuyant sur un proce

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14

Roberts, Rhonda Lareha. "Effects of time averaging versus single trial alignment averaging on the characteristics of the event related potentials /." The Ohio State University, 1988. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487597424136941.

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Eklund, Jana. "Essays on forecasting and Bayesian model averaging." Doctoral thesis, Handelshögskolan i Stockholm, Ekonomisk Statistik (ES), 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-490.

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This thesis, which consists of four chapters, focuses on forecasting in a data-rich environment and related computational issues. Chapter 1, “An embarrassment of riches: Forecasting using large panels” explores the idea of combining forecasts from various indicator models by using Bayesian model averaging (BMA) and compares the predictive performance of BMA with predictive performance of factor models. The combination of these two methods is also implemented, together with a benchmark, a simple autoregressive model. The forecast comparison is conducted in a pseudo out-of-sample framework for t

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16

Högele, Michael, and Paulo Ruffino. "Averaging along Lévy diffusions in foliated spaces." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6492/.

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We consider an SDE driven by a Lévy noise on a foliated manifold, whose trajectories stay on compact leaves. We determine the effective behavior of the system subject to a small smooth transversal perturbation of positive order epsilon. More precisely, we show that the average of the transversal component of the SDE converges to the solution of a deterministic ODE, according to the average of the perturbing vector field with respect to the invariant measures on the leaves (of the unpertubed system) as epsilon goes to 0. In particular we give upper bounds for the rates of convergence. The main

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17

Douma, Femke. "Counting and averaging problems in graph theory." Thesis, Durham University, 2010. http://etheses.dur.ac.uk/272/.

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Paul Gunther (1966), proved the following result: Given a continuous function f on a compact surface M of constant curvature -1 and its periodic lift g to the universal covering, the hyperbolic plane, then the averages of the lift g over increasing spheres converge to the average of the function f over the surface M. Heinz Huber (1956) considered the following problem on the hyperbolic plane H: Consider a strictly hyperbolic subgroup of automorphisms on H with compact quotient, and choose a conjugacy class in this group. Count the number of vertices inside an increasing ball, which are images

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18

Olshevsky, Alexander. "Convergence speed in distributed consensus and averaging." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37927.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.<br>Includes bibliographical references (leaves 71-75).<br>We propose three new algorithms for the distributed averaging and consensus problems: two for the fixed-graph case, and one for the dynamic-topology case. The convergence times of our fixed-graph algorithms compare favorably with other known methods, while our algorithm for the dynamic-topology case is the first to be accompanied by a polynomial-time bound on the worst-case convergence time.<br>by Alexander Olshevsky.<br>S.M

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19

Rodrigues, Camila Aparecida Benedito. "Método do averaging para sistemas de Filippov." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55135/tde-03072015-090140/.

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Um dos mais investigados problemas na teoria qualitativa dos sistemas dinâmicos no plano é o XVI problema de Hilbert que investiga uma cota superior para o número de ciclos limites em sistemas diferenciais polinomiais e suas posições relativas. Por outro lado, os sistemas diferenciais suaves por partes tem despertado o interesse de muitos pesquisadores recentemente devido a sua estreita relação com outras áreas das ciências como física, biologia, economia e engenharias. Portanto é natural a busca pela extensão das técnicas e ferramentas da teoria qualitativa para essa classe de sistemas. Nessa

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20

Ma, Genuo. "JACKKNIFE MODEL AVERAGING ON FUNCTIONAL LOGISTIC MODEL." Thesis, Uppsala universitet, Statistiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413059.

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21

zheng, jiayin. "Calibrated Bayes Factor and Bayesian Model Averaging." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1518632917560265.

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22

Volinsky, Christopher T. "Bayesian model averaging for censored survival models /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/8944.

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Bhat, Harish Subrahmanya Marsden Jerrold E. "Lagrangian averaging, nonlinear waves, and shock capturing /." Diss., Pasadena, Calif. : California Institute of Technology, 2005. http://resolver.caltech.edu/CaltechETD:etd-05262005-100534.

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24

TURRI, LUCA. "AVERAGING THEOREMS FOR NLS:PROBABILISTIC AND DETERMINISTIC RESULTS." Doctoral thesis, Università degli Studi di Milano, 2019. http://hdl.handle.net/2434/612979.

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In this thesis, we study the dynamics of NLS, in particular, we deal with the problem of the construction of prime integrals, either in the probabilistic or in the deterministic case. In the first part of the thesis, we consider the non linear Schrödinger equation on the one dimensional torus with a defocusing polynomial nonlinearity and we study the dynamics corresponding to initial data in a set of a large measure with respect to the Gibbs measure. We prove that along the corresponding solutions the modulus of the Fourier coefficients is approximately constant for long time. The proof is

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25

MADORMO, FILOMENA. "Model Averaging using performance and distance measures." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/88349.

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In this work we introduce the problem of forecast combination using performance and distance measures for binary outcome. The thesis is focused on model averaging for parametric and non parametric approaches, with a special attention on temporal dependent and independent models. In terms of results, we combine single models using performance measures and we investigate how distance measure based on the Mahalanobis distance can lead to interesting results for model combination. In order to assess the stability and the predictive capability of the models at hand, we employ different cross-val

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Zhang, Xuan. "High Precision Dynamic Power System Frequency Estimation Algorithm Based on Phasor Approach." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/31001.

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An internet-based, real-time, Global Positioning System (GPS) ---synchronized relative to the wide-area frequency-monitoring network (FNET) ---has been developed at Virginia Tech. In this FNET system, an algorithm that employs the relationship between phasor angles and deviated frequency [13] is used to calculate both frequency and its rate of change. Tests of the algorithm disclose that, for non-pure sinusoidal input (as compared to pure sinusoidal input), significant errors in the output frequency will result. Three approaches for increasing the accuracy of the output frequency were compared

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Cândido, Murilo Rodolfo. "New results in averaging theory and its applications." Doctoral thesis, Universitat Autònoma de Barcelona, 2018. http://hdl.handle.net/10803/665999.

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En este trabajo presentamos nuevos resultados en la teoría del promedio para encontrar soluciones periódicas. Usando reducción de Lyapunov-Schmidt y el grado de Brouwer nosotros elaboramos un teorema del promedio capaz de detectar la persistencia de soluciones periódicas en sistemas diferenciales cuando este tiene un continuo de ceros en la primera ecuación promediada no nula. También utilizamos la hiperbolicidad k determinada para describir la estabilidad de estas soluciones periódicas. Por fin, utilizamos estos resultados para estudiar las soluciones periódicas de varios sistemas difere

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Aljarrah, Inad A. "Color face recognition by auto-regressive moving averaging." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174410880.

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Letchford, C. W. "Pneumatic averaging and its application in wind engineering." Thesis, University of Oxford, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233481.

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Howard, Teil Bronwen. "Stochastically Perturbed Dynamics : Escape Rates and Averaging Methods." Thesis, University of Bristol, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.525448.

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Boyles, Levi Beinarauskas. "General Purpose MCMC Sampling for Bayesian Model Averaging." Thesis, University of California, Irvine, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3631086.

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<p> In this thesis we explore the problem of inference for Bayesian model averaging. Many popular topics in Bayesian analysis, such as Bayesian nonparametrics, can be cast as model averaging problems. Model averaging problems offer unique difficulties for inference, as the parameter space is not fixed, and may be infinite. As such, there is little existing work on general purpose MCMC algorithms in this area. We introduce a new MCMC sampler, which we call Retrospective Jump sampling, that is suitable for general purpose model averaging. In the development of Retrospective Jump, some practical

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Zettas, Spiridon. "Adaptive averaging channel estimation for DVB-T2 systems." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/16581.

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In modern communication systems, the rate of transmitted data is growing rapidly. This leads to the need for more sophisticated methods and techniques of implementation in every block of the transmitter-receiver chain. The weakest link in radio communications is the transmission channel. The signal, which is passed through it, suffers from many degrading factors like noise, attenuation, diffraction, scattering etc. In the receiver side, the modulated signal has to be restored to its initial state in order to extract the useful information. Assuming that the channel acts like a filter with fini

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GUTIERREZ, Alex Neri. "Um método de averaging para inclusoes diferenciais fuzzy." Universidade Federal de Goiás, 2012. http://repositorio.bc.ufg.br/tede/handle/tde/1954.

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Made available in DSpace on 2014-07-29T16:02:20Z (GMT). No. of bitstreams: 1 ALEX NERI GUTIERREZ DISSERTACAO.pdf: 1234288 bytes, checksum: ae65a58b7c2fd793b3c15d44001d82d6 (MD5) Previous issue date: 2012-03-23<br>This work has the main objective in the context of the fuzzy theory. Averaging method, differential inclusions are studied; finally this context of the fuzzy theory.<br>O trabalho tem como objetivo principal, o estudo de um método de averaging em problemas de valor inicial no contexto fuzzy. Com o intuito de facilitar a compreensão do trabalho, faz-se um estudo do, um método de ave

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Jun, Shi. "Frequentist Model Averaging For Functional Logistic Regression Model." Thesis, Uppsala universitet, Statistiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352519.

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Frequentist model averaging as a newly emerging approach provides us a way to overcome the uncertainty caused by traditional model selection in estimation. It acknowledges the contribution of multiple models, instead of making inference and prediction purely based on one single model. Functional logistic regression is also a burgeoning method in studying the relationship between functional covariates and a binary response. In this paper, the frequentist model averaging approach is applied to the functional logistic regression model. A simulation study is implemented to compare its performance

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Preston, Anthony. "Diffeomorphism-invariant averaging in quantum gravity and cosmology." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/405469/.

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This thesis concerns research undertaken in two related topics concerning high-energy gravitational physics. The first is the construction of a manifestly diffeomorphisminvariant Exact Renormalization Group (ERG). This is a procedure that constructs effective theories of gravity by integrating out high-energy modes down to an ultraviolet cutoff scale without gauge-fixing. The manifest diffeomorphism invariance enables us to construct a fully background-independent formulation. This thesis will explore both the fixed-background and background-independent forms of the manifestly diffeomorphism-i

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Huang, Guan. "An averaging theory for nonlinear partial differential equations." Palaiseau, Ecole polytechnique, 2014. http://pastel.archives-ouvertes.fr/docs/01/00/25/27/PDF/these.pdf.

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Cette thèse se consacre aux études des comportements de longtemps des solutions pour les EDPs nonlinéaires qui sont proches d'une EDP linéaire ou intégrable hamiltonienne. Une théorie de la moyenne pour les EDPs nonlinéaires est presenté. Les modèles d'équations sont les équations Korteweg-de Vries (KdV) perturbées et quelques équations aux dérivées partielles nonlinéaires faiblement<br>This Ph. D thesis focuses on studying the long-time behavior of solutions for non-linear PDEs that are close to a linear or an integrable Hamiltonian PDE. An averaging theory for nonlinear PDEs is presented. Th

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Zulj, Valentin. "On The Jackknife Averaging of Generalized Linear Models." Thesis, Uppsala universitet, Statistiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412831.

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Frequentist model averaging has started to grow in popularity, and it is considered a good alternative to model selection. It has recently been applied favourably to gen- eralized linear models, where it has mainly been purposed to aid the prediction of probabilities. The performance of averaging estimators has largely been compared to that of models selected using AIC or BIC, without much discussion of model screening. In this paper, we study the performance of model averaging in classification problems, and evaluate performances with reference to a single prediction model tuned using cross-v

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Maiti, Dipayan. "Multiset Model Selection and Averaging, and Interactive Storytelling." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28563.

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The Multiset Sampler [Leman et al., 2009] has previously been deployed and developed for efficient sampling from complex stochastic processes. We extend the sampler and the surrounding theory to model selection problems. In such problems efficient exploration of the model space becomes a challenge since independent and ad-hoc proposals might not be able to jointly propose multiple parameter sets which correctly explain a new pro- posed model. In order to overcome this we propose a multiset on the model space to en- able efficient exploration of multiple model modes with almost no tuning. The M

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Yoshimura, Arihiro. "Essays on Semiparametric Model Selection and Model Averaging." Kyoto University, 2015. http://hdl.handle.net/2433/199059.

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Swanton, Dale N. "The role of dopamine in temporal memory averaging." Click here for download, 2009. http://proquest.umi.com/pqdweb?did=1786804491&sid=3&Fmt=2&clientId=3260&RQT=309&VName=PQD.

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Zhu, Zhen. "Averaging correlation for weak Global Positioning System signal processing." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1175015135.

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Vogler, Urs. "Numerical modelling of deep mixing with volume averaging technique." Thesis, University of Strathclyde, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501779.

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The mechanical properties of very soft clays, silts and organic soils can be improved with deep mixing, a soil improvement technique in which stabilising agents, such as lime and/or cement are mixed into the soil in-situ by using auger-type mixing tools. Deep mixed columns are nowadays extensively used to reduce settlements and improve the stability of embankments and foundations constructed on soft soils. The problem analysed involving a regular arrangement of columns under an engineering stmcture, such as embankments or strip footings, is a fiilly three dimensional problem. As 3D analyses ar

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Zanetti, Giulia. "Virus structure studied by cryo-electron tomography and averaging." Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.531795.

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Liu, Yingying. "Multifrequency Averaging of Hysteresis-Current-Controlled DC-DC Converters." UKnowledge, 2015. http://uknowledge.uky.edu/ece_etds/67.

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Multifrequency averaging is one of the widely used modeling and simulation techniques today for the analysis and design of power electronic systems. This technique is capable of providing the average behavior as well as the ripple behavior of power electronic systems. Hysteresis current control has fast response and internal current stability through controlling switches to maintain the current within a given hysteresis band of a given current command. However the state space variables in a hysteresis controlled system cannot be directly approached by multifrequency averaging method because of

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Asterios, Geroukis. "Prediction of Linear Models: Application of Jackknife Model Averaging." Thesis, Uppsala universitet, Statistiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-297671.

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When using linear models, a common practice is to find the single best model fit used in predictions. This on the other hand can cause potential problems such as misspecification and sometimes even wrong models due to spurious regression. Another method of predicting models introduced in this study as Jackknife Model Averaging developed by Hansen & Racine (2012). This assigns weights to all possible models one could use and allows the data to have heteroscedastic errors. This model averaging estimator is compared to the Mallows’s Model Averaging (Hansen, 2007) and model selection by Bayesi

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Alfadda, Abdullah Ibrahim A. "Temporal Frame Difference Using Averaging Filter for Maritime Surveillance." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/56583.

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Video surveillance is an active research area in Computer Vision and Machine Learning. It received a lot of attention in the last few decades. Maritime surveillance is the act of effective detection/recognition of all maritime activities that have impact on economy, security or the environment. The maritime environment is a dynamic environment. Factors such as constant moving of waves, sun reflection over the sea surface, rapid change in lightning due to the sun reflection over the water surface, movement of clouds and presence of moving objects such as airplanes or birds, makes the mari

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Lu, Pingbo. "Calibrated Bayes factors for model selection and model averaging." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1343396705.

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Al-Mashat, Alex. "Comparison of Multiple Models for Diabetes Using Model Averaging." Thesis, Uppsala universitet, Institutionen för farmaci, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448168.

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Pharmacometrics is widely used in drug development. Models are developed to describe pharmacological measurements with data gathered from a clinical trial. The information can then be applied to, for instance, safely establish dose-response relationships of a substance. Glycated hemoglobin (HbA1c) is a common biomarker used by models within antihyperglycemic drug development, as it reflects the average plasma glucose level over the previous 8-12 weeks. There are five different nonlinear mixed-effects models that describes HbA1c-formation. They use different biomarkers such as mean plasma gluco

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Dalgic, Meric. "Solutions Of The Equations Of Change By The Averaging Technique." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609525/index.pdf.

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Area averaging is one of the techniques used to solve problems encountered in the transport of momentum, heat, and mass. The application of this technique simplifies the mathematical solution of the problem. However, it necessitates expressing the local value of the dependent variable and/or its derivative(s) on the system boundaries in terms of the averaged variable. In this study, these expressions are obtained by the two-point Hermite expansion and this approximate method is applied to some specific problems, such as, unsteady flow in a concentric annulus, unequal cooling of a long slab, un

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Lallier, Eric J. P. "Real-time pixel-level image fusion through adaptive weight averaging." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0004/MQ44848.pdf.

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