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Dissertations / Theses on the topic 'Robust methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Peel, Vincent Robert. "Robust methods for robust passive sonar." Thesis, University of Southampton, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305876.

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2

Helmersson, Anders. "Methods for robust gain scheduling." Doctoral thesis, Linköpings universitet, Reglerteknik, 1995. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-75513.

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Regulatorer används i många tillämpningar för att förbättra prestanda ochegenskaper hos fordon och farkoster av olika slag, t ex flygplan och raketer.Beroende på olika faktorer, som hastighet och höjd, kan dynamiken ochuppträdandet av dessa farkoster variera. Man vill därför låta regulatorn tahänsyn till dessa variationer genom att ändra sitt uppförande i motsvarandegrad. Regulatorn kan konstrueras på olika sätt. En möjlighet är att styrsignalernaberor linjärt eller proportionellt på regulatorns insignaler, till exempelavvikelser från önskad bana. Regulatorn bestäms av ett antal parametrarsom

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3

Nargis, Suraiya, and n/a. "Robust methods in logistic regression." University of Canberra. Information Sciences & Engineering, 2005. http://erl.canberra.edu.au./public/adt-AUC20051111.141200.

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My Masters research aims to deepen our understanding of the behaviour of robust methods in logistic regression. Logistic regression is a special case of Generalized Linear Modelling (GLM), which is a powerful and popular technique for modelling a large variety of data. Robust methods are useful in reducing the effect of outlying values in the response variable on parameter estimates. A literature survey shows that we are still at the beginning of being able to detect extreme observations in logistic regression analyses, to apply robust methods in logistic regression and to present informativel

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4

Mutapcic, Almir. "Robust optimization : methods and applications /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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5

Naish-Guzman, Andrew Guillermo Peter. "Sparse and robust kernel methods." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612420.

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6

Mwitondi, K. S. "Robust methods in data mining." Thesis, University of Leeds, 2003. http://etheses.whiterose.ac.uk/807/.

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The thesis focuses on two problems in Data Mining, namely clustering, an exploratory technique to group observations in similar groups, and classification, a technique used to assign new observations to one of the known groups. A thorough study of the two problems, which are also known in the Machine Learning literature as unsupervised and supervised classification respectively, is central to decision making in different fields - the thesis seeks to contribute towards that end. In the first part of the thesis we consider whether robust methods can be applied to clustering - in particular, we p

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Huang, Shu-Pang. "ROBUST METHODS FOR ESTIMATING ALLELE FREQUENCIES." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20010614-213208.

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<p>HUANG, SHU-PANG. ROBUST METHODS FOR ESTIMATING ALLELE FREQUENCIES (Advisor: Bruce S. Weir) The distribution of allele frequencies has beena major focus in population genetics. Classical approaches usingstochastic arguments depend highly on the choice of mutationmodel. Unfortunately, it is hard to justify which mutation modelis suitable for a particular sample. We propose two methods toestimate allele frequencies, especially for rare alleles, withoutassuming a mutation model. The first method achieves its goalthrough two steps. First it estimates the number of alleles in apopulation using a

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8

Feng, Chunlin, and 馮淳林. "Robust estimation methods for image matching." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29752693.

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9

Er, Fikret. "Robust methods in statistical shape analysis." Thesis, University of Leeds, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342394.

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10

Kudo, Jun S. M. Massachusetts Institute of Technology. "Robust adaptive high-order RANS methods." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/95563.

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Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 89-94).<br>The ability to achieve accurate predictions of turbulent flow over arbitrarily complex geometries proves critical in the advancement of aerospace design. However, quantitatively accurate results from modern Computational Fluid Dynamics (CFD) tools are often accompanied by intractably high computational expenses and are significantly hindered by the lack of automation. In particular, the gene

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11

Mantzaflaris, Angelos. "Robust algebraic methods for geometric computing." Nice, 2011. http://www.theses.fr/2011NICE4030.

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Le calcul géométrique en modélisation et en CAO nécessite la résolution approchée, et néanmoins certifiée, de systèmes polynomiaux. Nous introduisons de nouveaux algorithmes de sous-division afin de résoudre ce problème fondamental, calculant des développements en fractions continues des coordonnées des solutions. Au-delà des exemples concrets, nous fournissons des estimations de la complexité en bits et des bornes dans le modèle de RAM réelle. La difficulté principale de toute méthode de résolution consiste en les points singuliers isolés. Nous utilisons les systèmes locaux inverses et des ca

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12

Aranda, Cotta Higor Henrique. "Robust methods in multivariate time series." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC064.

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Ce manuscrit propose de nouvelles méthodes d’estimation robustes pour les fonctions matricielles d’autocovariance et d’autocorrélation de séries chronologiques multivariées stationnaires pouvant présenter des valeurs aberrantes aléatoires additives. Ces fonctions jouent un rôle important dans l’identification et l’estimation des paramètres de modèles de séries chronologiques multivariées stationnaires. Nous proposons tout d'abord de nouveaux estimateurs des fonctions matricielles d’autocovariance et d’autocorrélation construits en utilisant une approche spectrale à l'aide du périodogramme matr

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13

Singh, Jagmeet 1980. "Comparative analysis of robust design methods." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35630.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.<br>Includes bibliographical references (p. 161-163).<br>Robust parameter design is an engineering methodology intended as a cost effective approach to improve the quality of products, processes and systems. Control factors are those system parameters that can be easily controlled and manipulated. Noise factors are those system parameters that are difficult and/or costly to control and are presumed uncontrollable. Robust parameter design involves choosing optimal levels of the controllable factors in

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14

Mirza, Muhammad Javed. "Robust methods in range image understanding /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu148777912090705.

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15

Heo, Gyeongyong. "Robust kernel methods in context-dependent fusion." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0041144.

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Zhao, Shiyu. "Nonparametric robust control methods for powertrain control." Thesis, University of Liverpool, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548802.

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17

Whitehouse, Emily J. "Robust methods in univariate time series models." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/41868/.

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The size and power properties of a hypothesis test typically depend on a series of factors which are unobservable in practice. A branch of the econometric literature therefore considers robust testing methodologies that achieve good size-control and competitive power across a range of differing circumstances. In this thesis we discuss robust tests in three areas of time series econometrics: detection of explosive processes, unit root testing against nonlinear alternatives, and forecast evaluation in small samples. Recent research has proposed a method of detecting explosive processes that is b

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18

Fallah, Alireza. "Robust accelerated gradient methods for machine learning." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122881.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 91-95).<br>In this thesis, we study the problem of minimizing a smooth and strongly convex function, which arises in different areas, including regularized regression problems in machine learning. To solve this optimization problem, we consider using first order methods which are popular due to their scalability with large data sets, and we study the case that the exact gradient information is

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19

Lee, Ju Hee. "Robust Statistical Modeling through Nonparametric Bayesian Methods." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275399497.

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20

McCaskey, Suzanne D. "Robust design of dynamic systems." Thesis, Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/24223.

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21

Arif, Omar. "Robust target localization and segmentation using statistical methods." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33882.

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This thesis aims to contribute to the area of visual tracking, which is the process of identifying an object of interest through a sequence of successive images. The thesis explores kernel-based statistical methods, which map the data to a higher dimensional space. A pre-image framework is provided to find the mapping from the embedding space to the input space for several manifold learning and dimensional learning algorithms. Two algorithms are developed for visual tracking that are robust to noise and occlusions. In the first algorithm, a kernel PCA-based eigenspace representation is used.

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Ramström, Marcus, and Mattias Gungner. "Robust repair methods of primary structures in composite." Thesis, Linköpings universitet, Hållfasthetslära, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94362.

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A request of material change when performing repairs on composite parts of SAABs JAS 39 Gripen has lead to the initiation of this project. The aim is to create a quicker and more robust repair method. The requested method of repair is to use a direct-cured repair patch made of CFRP fabric instead of CFRP tape and to mount the patch with a scarf joint, see Figure 1.1. The fabric patch should then provide a robust quasi-isotropic repair, where the operator not is dependent of complete design data such as ply-directions etc. Today tape repairs are made on tape laminate and fabric repairs made on

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Jugessur, Deeptiman. "Robust object recognition using local appearance based methods." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33472.

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In this thesis we present an approach to appearance-based object recognition using single camera images. The approach is based on using an attention mechanism to obtain visual features that are generic, robust and informative. The features themselves are recognized using principal components in the frequency domain. We show that we can perform robust appearance based object recognition by using the visual characteristics of only a small number of such features. The technique is robust to planar translations and rotations of the object being recognized due to our polar sampling in the frequency

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24

Talaya, López Julià. "Algorithms and Methods for Robust Geodetic kinematic Positioning." Doctoral thesis, Universitat Politècnica de Catalunya, 2003. http://hdl.handle.net/10803/5846.

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El sistema NAVSTAR/GPS ha desenvolupat un paper molt important en les tècniques de posicionament cinemàtic geodèsiques, especialment en la determinació de la trajectòries per a la orientació de sensors aerotransportats d'observació de la terra. Amb l'excepció dels sensors fotogramètrics tradicionals la orientació dels sensors moderns aerotransportats depenen completament del posicionament GPS o bé de la integració GPS/INS. Per tant el posicionament GPS ha de ser precís i sobre tot fiable. <br/><br/>Aquesta tesis es basa en l'estudi de nous algorismes i configuracions de missions que permetin

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25

Hong, Zhihong. "Robust Coding Methods For Space-Time Wireless Communications." NCSU, 2002. http://www.lib.ncsu.edu/theses/available/etd-20020117-144929.

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<p>HONG, ZHIHONG. Robust Coding Methods For Space-Time Wireless Communications. (Under the direction of Dr. Brian L. Hughes.)Space-time coding can exploit the presence of multiple transmit and receive antennasto increase diversity, spectral efficiency, and received power, to improvethe performance in wireless communication systems. Thus far, most work on space-time coding has assumed highly idealized channel fading conditions (e.g., quasi-static or ideal fast fading)as well as perfect channel state information at the receiver. Both of these assumptionsare often questionable in practice. In thi

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26

Chassein, André [Verfasser]. "Robust Optimization: Complexity and Solution Methods / André Chassein." München : Verlag Dr. Hut, 2017. http://d-nb.info/1135596034/34.

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27

Rayamajhi, Milan. "Efficient methods for robust shape optimisation for crashworthiness." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8902.

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Recently complex geometry and detailed Finite Element (FE) models have been used to capture the true behaviour of the structures for crashworthiness. Such model complexity, detailed FE model, high non-linearity of crash cases and high number of design variables for crashworthiness optimisation add to the required computational effort. Hence, engineering optimisation problems are currently highly restricted in exploring the entire design space and including the desired number of design parameters. Hence it is advantageous to reduce the computational effort to fully explore the design alternativ

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28

Lee, Sharen Woon Yee. "Bayesian methods for the construction of robust chronologies." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:49c30401-9442-441f-b6b5-1539817e2c95.

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Bayesian modelling is a widely used, powerful approach for reducing absolute dating uncertainties in archaeological research. It is important that the methods used in chronology building are robust and reflect substantial prior knowledge. This thesis focuses on the development and evaluation of two novel, prior models: the trapezoidal phase model; and the Poisson process deposition model. Firstly, the limitations of the trapezoidal phase model were investigated by testing the model assumptions using simulations. It was found that a simple trapezoidal phase model does not reflect substantial pr

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Lottes, James William. "Toward robust algebraic multigrid methods for nonsymmetric problems." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:f9ac1d47-6d6a-41a9-99b9-2559981a9ba3.

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When analyzing symmetric problems and the methods for solving them, multigrid and algebraic multigrid in particular, one of the primary tools at the analyst's disposal is the energy norm associated with the problem. The lack of this tool is one of the many reasons analysis of nonsymmetric problems and methods for solving them is substantially more difficult than in the symmetric case. We show that there is an analog to the energy norm for a nonsymmetric matrix A, associated with a new absolute value we term the "form" absolute value. This new absolute value can be described as a symmetric posi

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Solano, Charris Elyn Lizeth. "Optimization methods for the robust vehicle routing problem." Thesis, Troyes, 2015. http://www.theses.fr/2015TROY0026/document.

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Cette thèse aborde le problème de tournées de véhicules (VRP) adressant des incertitudes via l'optimisation robuste, en donnant le VRP Robuste (RVRP). D'abord, les incertitudes sont intégrées sur les temps de trajet. Ensuite, une version bi-objectif du RVRP (bi-RVRP) est considérée en prenant en compte les incertitudes sur les temps de trajet et les demandes. Pour résoudre le RVRP et le bi-RVRP, différentes méthodes sont proposées pour déterminer des solutions robustes en minimisant le pire cas. Un Programme Linéaire à Variables Mixtes Entières (MILP), six heuristiques constructives, un algori

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31

Pindza, Edson. "Robust Spectral Methods for Solving Option Pricing Problems." University of the Western Cape, 2012. http://hdl.handle.net/11394/4092.

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Doctor Scientiae - DSc<br>Robust Spectral Methods for Solving Option Pricing Problems by Edson Pindza PhD thesis, Department of Mathematics and Applied Mathematics, Faculty of Natural Sciences, University of the Western Cape Ever since the invention of the classical Black-Scholes formula to price the financial derivatives, a number of mathematical models have been proposed by numerous researchers in this direction. Many of these models are in general very complex, thus closed form analytical solutions are rarely obtainable. In view of this, we present a class of efficient spectral met

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Bruffaerts, Christopher. "Contributions to robust methods in nonparametric frontier models." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209244.

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Les modèles de frontières sont actuellement très utilisés par beaucoup d’économistes, gestionnaires ou toute personne dite « decision-maker ». Dans ces modèles de frontières, le but du chercheur consiste à attribuer à des unités de production (des firmes, des hôpitaux ou des universités par exemple) une mesure de leur efficacité en terme de production. Ces unités (dénotées DMU-Decision-Making Units) utilisent-elles à bon escient leurs « inputs » et « outputs »? Font-elles usage de tout leur potentiel dans le processus de production? <p>L’ensemble de production est l’ensemble contenant toutes l

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33

Motamedian, Hamid Reza. "Robust Formulations for Beam-to-Beam Contact." Licentiate thesis, KTH, Hållfasthetslära (Avd.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183980.

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Contact between beam elements is a specific category of contact problems which was introduced by Wriggers and Zavarise in 1997 for normal contact and later extended by Zavarise and Wriggers to include tangential and frictional contact. In these works, beam elements are assumed to have rigid circular cross-sections and each pair of elements cannot have more than one contact point. The method proposed in the early papers is based on introducing a gap function and calculating the incremental change of that gap function and its variation in terms of incremental change of the nodal displacement vec

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34

Elago, David. "Robust computational methods for two-parameter singular perturbation problems." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_1693_1308039217.

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<p>This thesis is concerned with singularly perturbed two-parameter problems. We study a tted nite difference method as applied on two different meshes namely a piecewise mesh (of Shishkin type) and a graded mesh (of Bakhvalov type) as well as a tted operator nite di erence method. We notice that results on Bakhvalov mesh are better than those on Shishkin mesh. However, piecewise uniform meshes provide a simpler platform for analysis and computations. Fitted operator methods are even simpler in these regards due to the ease of operating on uniform meshes. Richardson extrapolation is applied on

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Galler, Michael. "Methods for more efficient, effective and robust speech recognition." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0032/NQ64560.pdf.

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36

Kelly, John W. "Robust, Automated Methods for Filtering and Processing Neural Signals." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/256.

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This dissertation presents novel tools for robust filtering and processing of neural signals. These tools improve upon existing methods and were shown to be effective under a variety of conditions. They are also simple to use, allowing researchers and clinicians to focus more time on the analysis of neural data and making many tasks accessible to non-expert personnel. The main contributions of this research were the creation of a generalized software framework for neural signal processing, the development of novel algorithms to filter common sources of noise, and an implementation of a brain-c

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Chung, How James T. H. "Robust video coding methods for next generation communication networks." Thesis, University of Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364957.

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Xiong, Hong. "Robust adaptive methods and their applications in quadrupole resonance." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0013387.

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Chau, Loo Kung Gustavo Ramón. "Robust Minimmun Variance Beamformer using Phase Aberration Correction Methods." Master's thesis, Pontificia Universidad Católica del Perú, 2017. http://tesis.pucp.edu.pe/repositorio/handle/123456789/8498.

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The minimum variance (MV) beamformer is an adaptive beamforming method that has the potential to enhance the resolution and contrast of ultrasound images. Although the sensitivity of the MV beamformer to steering vector errors and array calibration errors is well-documented in other fields, in ultrasound it has been tested only under gross sound speed errors. Several robust MV beamformers have been proposed, but have mainly reported robustness only in the presence of sound speed mismatches. Additionally the impact of PAC methods in mitigating the effects of phase aberration in MV beamfor

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Oh, Myungho. "Robust pole assignment by output feedback using optimization methods." Thesis, University of Leicester, 1993. http://hdl.handle.net/2381/34809.

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A robust output feedback pole assignment method, which seeks to achieve a robust solution in the sense that the assigned poles are as insensitive as possible to perturbations in the system parameters, is studied. In particular, this work is concerned with pole assignment in a specified region rather than assignment to exact positions, whereby the freedom to obtain a robust solution may be realized. The robust output feedback pole assignment problem is formulated as an optimization problem with a special structure in matrix form. Efficient optimization methods and numerical algorithms for solvi

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Mays, James Edward. "Model robust regression: combining parametric, nonparametric, and semiparametric methods." Diss., Virginia Polytechnic Institute and State University, 1995. http://hdl.handle.net/10919/49937.

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In obtaining a regression fit to a set of data, ordinary least squares regression depends directly on the parametric model formulated by the researcher. If this model is incorrect, a least squares analysis may be misleading. Alternatively, nonparametric regression (kernel or local polynomial regression, for example) has no dependence on an underlying parametric model, but instead depends entirely on the distances between regressor coordinates and the prediction point of interest. This procedure avoids the necessity of a reliable model, but in using no information from the researcher, may fit t

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Anderson, Joseph T. "Geometric Methods for Robust Data Analysis in High Dimension." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488372786126891.

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Owadally, Muhammud Asaad. "Robust electronic circuit design using evolutionary and Taguchi methods." Master's thesis, University of Cape Town, 1997. http://hdl.handle.net/11427/21761.

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Bibliography: pages 80-81.<br>In engineering, there is a wide range of applications where genetic optimizers are used. Two genetic optimizers used in this thesis namely, Population Based Incremental Learning ( PBIL ) and Cross generational selection Heterogeneous crossover Cataclysmic mutation ( CHC ), are tested on a series of circuit problems to fmd if robust electronic circuits can be built from evolutionary methods. The evolutionary algorithms were used to search the space of discrete component values from a range of manufactured preferred values to obtain robust electronic circuits. Paras

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Hashem, Hussein Abdulahman. "Regularized and robust regression methods for high dimensional data." Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/9197.

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Recently, variable selection in high-dimensional data has attracted much research interest. Classical stepwise subset selection methods are widely used in practice, but when the number of predictors is large these methods are difficult to implement. In these cases, modern regularization methods have become a popular choice as they perform variable selection and parameter estimation simultaneously. However, the estimation procedure becomes more difficult and challenging when the data suffer from outliers or when the assumption of normality is violated such as in the case of heavy-tailed errors.

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Anderson, Cynthia 1962. "A Comparison of Five Robust Regression Methods with Ordinary Least Squares: Relative Efficiency, Bias and Test of the Null Hypothesis." Thesis, University of North Texas, 2001. https://digital.library.unt.edu/ark:/67531/metadc5808/.

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A Monte Carlo simulation was used to generate data for a comparison of five robust regression estimation methods with ordinary least squares (OLS) under 36 different outlier data configurations. Two of the robust estimators, Least Absolute Value (LAV) estimation and MM estimation, are commercially available. Three authormodified variations on MM were also included (MM1, MM2, and MM3). Design parameters that were varied include sample size (n=60 and n=180), number of independent predictor variables (2, 3 and 6), outlier density (0%, 5% and 15%) and outlier location (2x,2y s, 8x8y s, 4x,8y s and

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Sharda, Bikram. "Robust manufacturing system design using petri nets and bayesian methods." Texas A&M University, 2008. http://hdl.handle.net/1969.1/85935.

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Manufacturing system design decisions are costly and involve significant investment in terms of allocation of resources. These decisions are complex, due to uncertainties related to uncontrollable factors such as processing times and part demands. Designers often need to find a robust manufacturing system design that meets certain objectives under these uncertainties. Failure to find a robust design can lead to expensive consequences in terms of lost sales and high production costs. In order to find a robust design configuration, designers need accurate methods to model various uncertainties a

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Uysal, Selver Derya [Verfasser]. "Three Essays on Doubly Robust Estimation Methods / Selver Derya Uysal." Konstanz : Bibliothek der Universität Konstanz, 2012. http://d-nb.info/1033059943/34.

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48

Bängtsson, Erik. "Robust preconditioned iterative solution methods for large-scale nonsymmetric problems /." Uppsala : Department of Information Technology, Uppsala University, 2005. http://www.it.uu.se/research/reports/lic/2005-006/.

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Choo, Wei-Chong. "Volatility forecasting with exponential weighting, smooth transition and robust methods." Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489421.

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This thesis focuses on the forecasting of the volatility in financial returns. Our first main contribution is the introduction of two new approaches for combining volatility forecasts. One approach involves the use of discounted weighted least square. The second proposed approach is smooth transition (ST) combining, which allows the combining weights to change gradually and smoothly over time in response to changes in suitably chosen transition variables.

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Konya, Iuliu Vasile [Verfasser]. "Adaptive Methods for Robust Document Image Understanding / Iuliu Vasile Konya." Bonn : Universitäts- und Landesbibliothek Bonn, 2013. http://d-nb.info/1044869917/34.

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