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You searched for subject:(Random Matrix Model). Showing records 1 – 12 of 12 total matches.

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Texas A&M University

1. Liu, Wei. A New Asset Pricing Model based on the Zero-Beta CAPM: Theory and Evidence.

Degree: PhD, Finance, 2013, Texas A&M University

 This work utilizes zero-beta CAPM to derive an alternative form dubbed the ZCAPM. The ZCAPM posits that asset prices are a function of market risk… (more)

Subjects/Keywords: Asset Pricing; Zero-Beta CAPM; Factor Model; Random Matrix Theory

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, W. (2013). A New Asset Pricing Model based on the Zero-Beta CAPM: Theory and Evidence. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149521

Chicago Manual of Style (16th Edition):

Liu, Wei. “A New Asset Pricing Model based on the Zero-Beta CAPM: Theory and Evidence.” 2013. Doctoral Dissertation, Texas A&M University. Accessed January 24, 2021. http://hdl.handle.net/1969.1/149521.

MLA Handbook (7th Edition):

Liu, Wei. “A New Asset Pricing Model based on the Zero-Beta CAPM: Theory and Evidence.” 2013. Web. 24 Jan 2021.

Vancouver:

Liu W. A New Asset Pricing Model based on the Zero-Beta CAPM: Theory and Evidence. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1969.1/149521.

Council of Science Editors:

Liu W. A New Asset Pricing Model based on the Zero-Beta CAPM: Theory and Evidence. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149521


University of California – Berkeley

2. Dey, Partha Sarathi. Contributions to Stein's method and some limit theorems in probability.

Degree: Statistics, 2010, University of California – Berkeley

 In this dissertation we investigate three different problems related to (1) concentration inequalities using Stein's method of exchangeable pair, (2) first-passage percolation along thin lattice… (more)

Subjects/Keywords: Statistics; Mathematics; Concentration inequality; Curie-Weiss model; First-passage percolation; Random graph; Random matrix; Stein's method

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APA (6th Edition):

Dey, P. S. (2010). Contributions to Stein's method and some limit theorems in probability. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/9qh9h989

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dey, Partha Sarathi. “Contributions to Stein's method and some limit theorems in probability.” 2010. Thesis, University of California – Berkeley. Accessed January 24, 2021. http://www.escholarship.org/uc/item/9qh9h989.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dey, Partha Sarathi. “Contributions to Stein's method and some limit theorems in probability.” 2010. Web. 24 Jan 2021.

Vancouver:

Dey PS. Contributions to Stein's method and some limit theorems in probability. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2021 Jan 24]. Available from: http://www.escholarship.org/uc/item/9qh9h989.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dey PS. Contributions to Stein's method and some limit theorems in probability. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/9qh9h989

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Washington State University

3. [No author]. A Random Matrix Approach to Long Range Acoustic Propagation in the Ocean .

Degree: 2010, Washington State University

 Low frequency sound propagates in the ocean within awave guide, formed by the confining effects oftemperature, salinity and pressure on the sound speed.This wave guide… (more)

Subjects/Keywords: internal waves; ocean acoustics; random matrix; statistical model

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APA (6th Edition):

author], [. (2010). A Random Matrix Approach to Long Range Acoustic Propagation in the Ocean . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/2795

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

author], [No. “A Random Matrix Approach to Long Range Acoustic Propagation in the Ocean .” 2010. Thesis, Washington State University. Accessed January 24, 2021. http://hdl.handle.net/2376/2795.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

author], [No. “A Random Matrix Approach to Long Range Acoustic Propagation in the Ocean .” 2010. Web. 24 Jan 2021.

Vancouver:

author] [. A Random Matrix Approach to Long Range Acoustic Propagation in the Ocean . [Internet] [Thesis]. Washington State University; 2010. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2376/2795.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. A Random Matrix Approach to Long Range Acoustic Propagation in the Ocean . [Thesis]. Washington State University; 2010. Available from: http://hdl.handle.net/2376/2795

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

4. Zhao, Wei. FROM PINNING TO LOCALIZATION IN GRAPHENE – ON THE STATISTICAL PROPERTIES OF RANDOMLY PINNED FLEXURAL PHONONS.

Degree: PhD, Physics, 2017, Texas A&M University

 We identify graphene layer on a disordered substrate as a system where Anderson localization of phonons can be observed. Generally, observation of localization for scattering… (more)

Subjects/Keywords: flexrual phonon; Gaussian orthogonal ensemble; nonlinear sigma model; random matrix theory; Graphene; inverse participation ratio; finite difference method; anomalously localized state; weak localization; Anderson localization

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APA (6th Edition):

Zhao, W. (2017). FROM PINNING TO LOCALIZATION IN GRAPHENE – ON THE STATISTICAL PROPERTIES OF RANDOMLY PINNED FLEXURAL PHONONS. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173225

Chicago Manual of Style (16th Edition):

Zhao, Wei. “FROM PINNING TO LOCALIZATION IN GRAPHENE – ON THE STATISTICAL PROPERTIES OF RANDOMLY PINNED FLEXURAL PHONONS.” 2017. Doctoral Dissertation, Texas A&M University. Accessed January 24, 2021. http://hdl.handle.net/1969.1/173225.

MLA Handbook (7th Edition):

Zhao, Wei. “FROM PINNING TO LOCALIZATION IN GRAPHENE – ON THE STATISTICAL PROPERTIES OF RANDOMLY PINNED FLEXURAL PHONONS.” 2017. Web. 24 Jan 2021.

Vancouver:

Zhao W. FROM PINNING TO LOCALIZATION IN GRAPHENE – ON THE STATISTICAL PROPERTIES OF RANDOMLY PINNED FLEXURAL PHONONS. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1969.1/173225.

Council of Science Editors:

Zhao W. FROM PINNING TO LOCALIZATION IN GRAPHENE – ON THE STATISTICAL PROPERTIES OF RANDOMLY PINNED FLEXURAL PHONONS. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/173225


McMaster University

5. Guo, Wenxing. Advances on Dimension Reduction for Multivariate Linear Regression.

Degree: PhD, 2020, McMaster University

 Multivariate linear regression methods are widely used statistical tools in data analysis, and were developed when some response variables are studied simultaneously, in which our… (more)

Subjects/Keywords: Dimension reduction; Multivariate linear model; Low rank matrix approximation; Random projection; Matrix projection; Reduced rank regression; High-dimensional data; Group LASSO penalty; Variable selection; Sparsity; Envelope model; Multidimensional array; Tensor regression; Sparsity principle.

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APA (6th Edition):

Guo, W. (2020). Advances on Dimension Reduction for Multivariate Linear Regression. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/25988

Chicago Manual of Style (16th Edition):

Guo, Wenxing. “Advances on Dimension Reduction for Multivariate Linear Regression.” 2020. Doctoral Dissertation, McMaster University. Accessed January 24, 2021. http://hdl.handle.net/11375/25988.

MLA Handbook (7th Edition):

Guo, Wenxing. “Advances on Dimension Reduction for Multivariate Linear Regression.” 2020. Web. 24 Jan 2021.

Vancouver:

Guo W. Advances on Dimension Reduction for Multivariate Linear Regression. [Internet] [Doctoral dissertation]. McMaster University; 2020. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/11375/25988.

Council of Science Editors:

Guo W. Advances on Dimension Reduction for Multivariate Linear Regression. [Doctoral Dissertation]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/25988

6. Terreaux, Eugénie. Théorie des Matrices Aléatoires pour l'Imagerie Hyperspectrale : Random Matrix Theory for Hyperspectral Imaging.

Degree: Docteur es, Traitement du signal et des images, 2018, Université Paris-Saclay (ComUE)

La finesse de la résolution spectrale et spatiale des images hyperspectrales en font des données de très grande dimension. C'est également le cas d'autres types… (more)

Subjects/Keywords: Théorie des matrices aléatoires; Imagerie hyperspectrale; Modèle linéaire; Bruit CES; Estimation d'ordre de modèle; Démélange spectral; Estimation robuste; Optimisation sous contraintes; Random matrix theory; Hyperspectral imaging; Linear model; CES noise; Model order selection; Unmixing; Robust estimation; Constrained optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Terreaux, E. (2018). Théorie des Matrices Aléatoires pour l'Imagerie Hyperspectrale : Random Matrix Theory for Hyperspectral Imaging. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2018SACLC091

Chicago Manual of Style (16th Edition):

Terreaux, Eugénie. “Théorie des Matrices Aléatoires pour l'Imagerie Hyperspectrale : Random Matrix Theory for Hyperspectral Imaging.” 2018. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed January 24, 2021. http://www.theses.fr/2018SACLC091.

MLA Handbook (7th Edition):

Terreaux, Eugénie. “Théorie des Matrices Aléatoires pour l'Imagerie Hyperspectrale : Random Matrix Theory for Hyperspectral Imaging.” 2018. Web. 24 Jan 2021.

Vancouver:

Terreaux E. Théorie des Matrices Aléatoires pour l'Imagerie Hyperspectrale : Random Matrix Theory for Hyperspectral Imaging. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2018. [cited 2021 Jan 24]. Available from: http://www.theses.fr/2018SACLC091.

Council of Science Editors:

Terreaux E. Théorie des Matrices Aléatoires pour l'Imagerie Hyperspectrale : Random Matrix Theory for Hyperspectral Imaging. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2018. Available from: http://www.theses.fr/2018SACLC091


University of Technology, Sydney

7. Li, Minqi. Bayesian nonparametric modeling and its applications.

Degree: 2016, University of Technology, Sydney

 Bayesian nonparametric methods (or nonparametric Bayesian methods) take the benefit of unlimited parameters and unbounded dimensions to reduce the constraints on the parameter assumption and… (more)

Subjects/Keywords: Bayesian nonparametric theory.; Lévy process.; Completely random measures (CRM).; Chinese restaurant process (ddCRP).; Low-resolution (LR) face image.; High-resolution (HR) patches.; Nonnegative matrix factorization (NMF).; Beta process (BP) model.; Sparse Coding Recognition (SCR) framework.

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APA (6th Edition):

Li, M. (2016). Bayesian nonparametric modeling and its applications. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/62402

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Minqi. “Bayesian nonparametric modeling and its applications.” 2016. Thesis, University of Technology, Sydney. Accessed January 24, 2021. http://hdl.handle.net/10453/62402.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Minqi. “Bayesian nonparametric modeling and its applications.” 2016. Web. 24 Jan 2021.

Vancouver:

Li M. Bayesian nonparametric modeling and its applications. [Internet] [Thesis]. University of Technology, Sydney; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/10453/62402.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li M. Bayesian nonparametric modeling and its applications. [Thesis]. University of Technology, Sydney; 2016. Available from: http://hdl.handle.net/10453/62402

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

8. Katsaounis, Georgios (author). Extended Object Tracking of Pedestrians in Automotive Applications.

Degree: 2019, Delft University of Technology

 Recent advances in sensor technology have lead to increased resolution of novel sensors, while tracking applications where distance between sensors and objects of interest is… (more)

Subjects/Keywords: Extended Object Tracking; Vulnurable Road Users; Pedestrians; Environmental Perception; Automotive Applications; Lidar sensor; Mono camera sensor; Sensor Fusion; Random Matrix Model; Elliptical shape; OpenPose library; Human Pose Detections; position measurement; heading angle measurement; Extended Kalman Filter; Kalman Filter

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APA (6th Edition):

Katsaounis, G. (. (2019). Extended Object Tracking of Pedestrians in Automotive Applications. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d7226685-9ffe-417f-9939-2167a9dfd749

Chicago Manual of Style (16th Edition):

Katsaounis, Georgios (author). “Extended Object Tracking of Pedestrians in Automotive Applications.” 2019. Masters Thesis, Delft University of Technology. Accessed January 24, 2021. http://resolver.tudelft.nl/uuid:d7226685-9ffe-417f-9939-2167a9dfd749.

MLA Handbook (7th Edition):

Katsaounis, Georgios (author). “Extended Object Tracking of Pedestrians in Automotive Applications.” 2019. Web. 24 Jan 2021.

Vancouver:

Katsaounis G(. Extended Object Tracking of Pedestrians in Automotive Applications. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 24]. Available from: http://resolver.tudelft.nl/uuid:d7226685-9ffe-417f-9939-2167a9dfd749.

Council of Science Editors:

Katsaounis G(. Extended Object Tracking of Pedestrians in Automotive Applications. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:d7226685-9ffe-417f-9939-2167a9dfd749

9. Touri, Behrouz. Product of random stochastic matrices and distributed averaging.

Degree: PhD, 0127, 2012, University of Illinois – Urbana-Champaign

 This thesis is mainly concerned with the study of product of random stochastic matrices and random weighted averaging dynamics. It will be shown that a… (more)

Subjects/Keywords: Products of Random Stochastic Matrices; Distributed Averaging; Weighted Averaging; Hegselmann-Krause model; Comparison Functions; Non-negative Matrix Theory

…Rm×m is a random matrix if Wij is a random variable for all i, j ∈ [m]. For a… …k) is a random matrix process, i.e., W (k) is a random matrix for any k ≥ 0… …random stochastic matrices. This mathematical object is one of the main analytical tools that… …row) stochastic matrix for any k ≥ 0 and x(0) ∈ Rm is arbitrary. Some… …studied in [1, 2, 3, 4, 5, 6] both in deterministic time-changing networks and random… 

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APA (6th Edition):

Touri, B. (2012). Product of random stochastic matrices and distributed averaging. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29634

Chicago Manual of Style (16th Edition):

Touri, Behrouz. “Product of random stochastic matrices and distributed averaging.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 24, 2021. http://hdl.handle.net/2142/29634.

MLA Handbook (7th Edition):

Touri, Behrouz. “Product of random stochastic matrices and distributed averaging.” 2012. Web. 24 Jan 2021.

Vancouver:

Touri B. Product of random stochastic matrices and distributed averaging. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2142/29634.

Council of Science Editors:

Touri B. Product of random stochastic matrices and distributed averaging. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29634

10. Liu, Yue. Estimation of Two Popular Econometric Models: Random Effects Panel Data Model and Simultaneous Equations Model.

Degree: Applied Statistics, 2013, University of California – Riverside

 In the first chapter of this thesis, we propose a penalized splines (P-splines) estimator for random effects panel data model. While being a nonparametric technique,… (more)

Subjects/Keywords: Statistics; Economics; binary dependent variable; corrected asymptotic variance-covariance matrix; P-splines estimator; random effects panel data model; simultaneous equations model; two stage estimation

…Splines Estimator for Random Effects Panel Data Model 4 2.1 Introduction… …18 2.3 Panel Data Model ….25 2.4 P-Splines Estimator for Random… …two such advanced econometric models: random effects panel data model and simultaneous… …Estimator for Random Effects Panel Data Model 2.1 Introduction It has long been felt by both… …can be applied to both fixed effects and random effects panel data model. All the… 

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APA (6th Edition):

Liu, Y. (2013). Estimation of Two Popular Econometric Models: Random Effects Panel Data Model and Simultaneous Equations Model. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/3jv029cr

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Yue. “Estimation of Two Popular Econometric Models: Random Effects Panel Data Model and Simultaneous Equations Model.” 2013. Thesis, University of California – Riverside. Accessed January 24, 2021. http://www.escholarship.org/uc/item/3jv029cr.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Yue. “Estimation of Two Popular Econometric Models: Random Effects Panel Data Model and Simultaneous Equations Model.” 2013. Web. 24 Jan 2021.

Vancouver:

Liu Y. Estimation of Two Popular Econometric Models: Random Effects Panel Data Model and Simultaneous Equations Model. [Internet] [Thesis]. University of California – Riverside; 2013. [cited 2021 Jan 24]. Available from: http://www.escholarship.org/uc/item/3jv029cr.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu Y. Estimation of Two Popular Econometric Models: Random Effects Panel Data Model and Simultaneous Equations Model. [Thesis]. University of California – Riverside; 2013. Available from: http://www.escholarship.org/uc/item/3jv029cr

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Paul, Subhadeep. Consistent community detection in uni-layer and multi-layer networks.

Degree: PhD, Statistics, 2017, University of Illinois – Urbana-Champaign

 Over the last two decades, we have witnessed a massive explosion of our data collection abilities and the birth of a "big data" age. This… (more)

Subjects/Keywords: Community detection; Consistency; Co-regularization; Invariant subspaces; Minimax rates; Multi-layer networks; Multi-layer null models; Multi-layer modularity; Multi-layer stochastic block model; Network analysis; Non-negative matrix factorization; Neuroimaging; Random effects stochastic block model; Stochastic block model; Spectral clustering; Variational expectation-maximization (EM)

…negative matrix factorization under stochastic block model… …182 Chapter 6 A random effects stochastic block model for joint community detection in… …Stochastic block model DCSBM Degree corrected stochastic block model NMF Non-negative matrix… …Random effects stochastic block model VarEM Variational Expectation-Maximization algorithm… …is a statistical model for random graphs with a natural community structure. It is one of a… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Paul, S. (2017). Consistent community detection in uni-layer and multi-layer networks. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98136

Chicago Manual of Style (16th Edition):

Paul, Subhadeep. “Consistent community detection in uni-layer and multi-layer networks.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 24, 2021. http://hdl.handle.net/2142/98136.

MLA Handbook (7th Edition):

Paul, Subhadeep. “Consistent community detection in uni-layer and multi-layer networks.” 2017. Web. 24 Jan 2021.

Vancouver:

Paul S. Consistent community detection in uni-layer and multi-layer networks. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2142/98136.

Council of Science Editors:

Paul S. Consistent community detection in uni-layer and multi-layer networks. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98136


Queensland University of Technology

12. McGarry, Gregory John. Model-based mammographic image analysis.

Degree: 2002, Queensland University of Technology

Subjects/Keywords: Breast Radiography; Radiography, Medical Digital techniques; Image analysis; breast cancer; mammography; radiography; radiology; tissue attenuation; tumour; calcification; parametric model; detection; classification; statistical framework; wavelet transform; multiresolution analysis; generalised Gaussian distribution; method of moments; Wilcoxon signed rank sum test; receiver operating characteristic; clique potential function; Gibbs distribution; co-occurrence matrix; autoregressive; fractal; fractional Brownian motion; maximum likelihood; Markovianity; Gibbs random field; Markov random field; contextual constraints; domain knowledge; maximum a posteriori; segmentation; labelling; iterated conditional modes; maximum pseudo-liklihood; scatter; digitiser; normalisation; least squares; thesis; doctoral

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APA (6th Edition):

McGarry, G. J. (2002). Model-based mammographic image analysis. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/36166/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

McGarry, Gregory John. “Model-based mammographic image analysis.” 2002. Thesis, Queensland University of Technology. Accessed January 24, 2021. http://eprints.qut.edu.au/36166/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

McGarry, Gregory John. “Model-based mammographic image analysis.” 2002. Web. 24 Jan 2021.

Vancouver:

McGarry GJ. Model-based mammographic image analysis. [Internet] [Thesis]. Queensland University of Technology; 2002. [cited 2021 Jan 24]. Available from: http://eprints.qut.edu.au/36166/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McGarry GJ. Model-based mammographic image analysis. [Thesis]. Queensland University of Technology; 2002. Available from: http://eprints.qut.edu.au/36166/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.