Annotated Bibliography

Aijun Zhang Dissertation

Statistical Methods in Credit Risk Modeling. - Deep Blue
Abstract: This research deals with some statistical modeling problems that are motivated by credit risk analysis. Credit risk modeling has been the subject of ...

Aijun Zhang Dissertation

We propose a maturation-exogenous-vintage (mev) decomposition strategy in order to understand the risk determinants in terms of self-maturation in lifetime, exogenous influence by macroeconomic conditions, and heterogeneity induced from vintage originations. In the first chapter, we provide an up-to-date review of credit risk models and demonstrate their close connection to survival analysis. It includes vintage data analysis (vda) for continuous type of responses in the third chapter, and dual-time survival analysis (dtsa) in the fourth chapter.

This research deals with some statistical modeling problems that are motivated by credit risk analysis. Before joining oregon state, i hold a position as visiting assistant professor at university of arkansas during 082015-082016, drexel university (092013-082015) and university of kansas (082011-082013). I am a visiting assistant professor at oregon state university since 82016.

Two challenging issues that arise in this context are evaluation of reproducing kernel and determination of local penalty, for which we derive an explicit solution based on piecewise type of local adaptation. Bachelor of science in applied mathematics at national university of defense technology, changsha, hunan, p. I am currently working on the following research projects, which are concerned with front or pluse propagation dynamics propagation dynamics in a neural network of excitatory and inhibitory populations including the existence and stability of traveling pluses, transition between standing and traveling patterns including both traveling fronts and pulses, and the bifurcations of spatiotemporal patterns.

The intrinsic identification problem is discussed for both vda and dtsa. I am on the job market and i am interested in a position in teaching and research at a college or university. My interests are on dynamical aspects of differential equations, including partial differential equations   and  integro-differential equations, arising in biology, neuroscience and other applied sciences.

. These developments extend the family of models for both credit risk modeling and survival analysis. Credit risk modeling has been the subject of considerable research interest in finance and has recently drawn the attention of statistical researchers.

Here are my application documents spatial spread and front propagation dynamics of nonlocal monostable equations in periodic habitats 2003         master of management  science at beihang university,  beijing, p. Our nonparametric adass technique is capable of fitting a diverse set of smooth functions including possible jumps, and it plays a key role in subsequent work in the thesis. We consider nonparametric estimators, first-passage-time parameterization and semiparametric cox regression. Fisher-kpp equations in inhomogeneous patchy environment with localized periodic perturbations. We demonstrate the application of dtsa to credit card and mortgage risk analysis in retail banking, and shed some light on understanding the ongoing credit crisis.


Aijun Zhang's Personal Webpage - Oregon State University


Aijun Zhang. ... Dissertation: Spatial Spread and Front Propagation Dynamics of Nonlocal Monostable Equations in Periodic Habitats. 2003 Master of ...

Aijun Zhang Dissertation

Aijun Zhang - Google Scholar Citations
Aijun Zhang ... A Vainchtein, ES Van Vleck, A Zhang ... A Zhang. Discrete and Continuous Dynamical Systems Supplement 2013, 815-824, 2013 ... A Zhang. Auburn University (Dissertation), 2011. 1, 2011. The Enumerative Algorithm of ...
Aijun Zhang Dissertation Department: Department of Statistics and Actuarial Science. I am on the job market and i am interested in a position in teaching and research at a college or university. A Zhang. Credit risk modeling has been the subject of considerable research interest in finance and has recently drawn the attention of statistical researchers. This research deals with some statistical modeling problems that are motivated by credit risk analysis. 1, 2011. We propose a maturation-exogenous-vintage (mev) decomposition strategy in order to understand the risk determinants in terms of self-maturation in lifetime, We demonstrate the application of dtsa to credit card and mortgage risk analysis in retail banking, and shed some light on understanding the ongoing credit crisis. Credit risk modeling has been the subject of . Faculty: Faculty of Science. Master, March 2012, Masatsugu Uesugi, ZHANG Zhen Ya, Study on a. Some features of this site may not work without it. Old Thesis. Aijun Zhang. A Vainchtein, ES Van Vleck, A Zhang. A dissertation submitted in partial fulfillment. Aijun Zhang Dept. Zhu Aijun, HIGANO Yoshiro, Guidelines for Participatory Municipal Solid . Aijun Zhang, who has been a constant source of support and, I am currently working on the following research projects, which are concerned with front or pluse propagation dynamics propagation dynamics in a neural network of excitatory and inhibitory populations including the existence and stability of traveling pluses.
  • (PDF) Statistical Methods in Credit Risk Modeling - ResearchGate


    In the first chapter, we provide an up-to-date review of credit risk models and demonstrate their close connection to survival analysis. My interests are on dynamical aspects of differential equations, including partial differential equations   and  integro-differential equations, arising in biology, neuroscience and other applied sciences. It includes vintage data analysis (vda) for continuous type of responses in the third chapter, and dual-time survival analysis (dtsa) in the fourth chapter. Credit risk modeling has been the subject of considerable research interest in finance and has recently drawn the attention of statistical researchers. Specifically, we consider vda under gaussian process models, provide an efficient mev backfitting algorithm and assess its performance with both simulation and real examples.

    I am currently working on the following research projects, which are concerned with front or pluse propagation dynamics propagation dynamics in a neural network of excitatory and inhibitory populations including the existence and stability of traveling pluses, transition between standing and traveling patterns including both traveling fronts and pulses, and the bifurcations of spatiotemporal patterns. This research deals with some statistical modeling problems that are motivated by credit risk analysis. Some features of this site may not work without it. Here are my application documents spatial spread and front propagation dynamics of nonlocal monostable equations in periodic habitats 2003         master of management  science at beihang university,  beijing, p. We demonstrate the application of dtsa to credit card and mortgage risk analysis in retail banking, and shed some light on understanding the ongoing credit crisis.

    Our nonparametric adass technique is capable of fitting a diverse set of smooth functions including possible jumps, and it plays a key role in subsequent work in the thesis. Before joining oregon state, i hold a position as visiting assistant professor at university of arkansas during 082015-082016, drexel university (092013-082015) and university of kansas (082011-082013). The intrinsic identification problem is discussed for both vda and dtsa. Two challenging issues that arise in this context are evaluation of reproducing kernel and determination of local penalty, for which we derive an explicit solution based on piecewise type of local adaptation. We propose a maturation-exogenous-vintage (mev) decomposition strategy in order to understand the risk determinants in terms of self-maturation in lifetime, exogenous influence by macroeconomic conditions, and heterogeneity induced from vintage originations. These developments extend the family of models for both credit risk modeling and survival analysis. Bachelor of science in applied mathematics at national university of defense technology, changsha, hunan, p. I am a visiting assistant professor at oregon state university since 82016. Fisher-kpp equations in inhomogeneous patchy environment with localized periodic perturbations. I am on the job market and i am interested in a position in teaching and research at a college or university.

    Aug 1, 2018 ... Statistical Methods in Credit Risk Modeling. by. Aijun Zhang. A dissertation submitted in partial fulfillment. of the requirements for the degree of.

    Aijun Zhang - Assistant Professor, Department of Statistics ... - LinkedIn

    View Aijun Zhang's profile on LinkedIn, the world's largest professional ... Aijun has 4 jobs listed on their profile. ... PhD Dissertation, University of Michigan. 2009 .
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    In the first chapter, we provide an up-to-date review of credit risk models and demonstrate their close connection to survival analysis. Here are my application documents spatial spread and front propagation dynamics of nonlocal monostable equations in periodic habitats 2003         master of management  science at beihang university,  beijing, p. Fisher-kpp equations in inhomogeneous patchy environment with localized periodic perturbations. I am a visiting assistant professor at oregon state university since 82016. Credit risk modeling has been the subject of considerable research interest in finance and has recently drawn the attention of statistical researchers.

    Bachelor of science in applied mathematics at national university of defense technology, changsha, hunan, p Buy now Aijun Zhang Dissertation

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    Lexis diagram is of particular importance in credit risk modeling where the default events could be triggered by both endogenous and exogenous hazards. I am on the job market and i am interested in a position in teaching and research at a college or university. This research deals with some statistical modeling problems that are motivated by credit risk analysis. Some features of this site may not work without it. Our nonparametric adass technique is capable of fitting a diverse set of smooth functions including possible jumps, and it plays a key role in subsequent work in the thesis.

    Fisher-kpp equations in inhomogeneous patchy environment with localized periodic perturbations. Credit risk modeling has been the subject of considerable research interest in finance and has recently drawn the attention of statistical researchers Aijun Zhang Dissertation Buy now

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    . We demonstrate the application of dtsa to credit card and mortgage risk analysis in retail banking, and shed some light on understanding the ongoing credit crisis. This research deals with some statistical modeling problems that are motivated by credit risk analysis. In the first chapter, we provide an up-to-date review of credit risk models and demonstrate their close connection to survival analysis. My interests are on dynamical aspects of differential equations, including partial differential equations   and  integro-differential equations, arising in biology, neuroscience and other applied sciences.

    I am a visiting assistant professor at oregon state university since 82016 Buy Aijun Zhang Dissertation at a discount

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    Specifically, we consider vda under gaussian process models, provide an efficient mev backfitting algorithm and assess its performance with both simulation and real examples. Fisher-kpp equations in inhomogeneous patchy environment with localized periodic perturbations. I am currently working on the following research projects, which are concerned with front or pluse propagation dynamics propagation dynamics in a neural network of excitatory and inhibitory populations including the existence and stability of traveling pluses, transition between standing and traveling patterns including both traveling fronts and pulses, and the bifurcations of spatiotemporal patterns. Bachelor of science in applied mathematics at national university of defense technology, changsha, hunan, p Buy Online Aijun Zhang Dissertation

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    I am on the job market and i am interested in a position in teaching and research at a college or university. This research deals with some statistical modeling problems that are motivated by credit risk analysis. Two challenging issues that arise in this context are evaluation of reproducing kernel and determination of local penalty, for which we derive an explicit solution based on piecewise type of local adaptation. I am currently working on the following research projects, which are concerned with front or pluse propagation dynamics propagation dynamics in a neural network of excitatory and inhibitory populations including the existence and stability of traveling pluses, transition between standing and traveling patterns including both traveling fronts and pulses, and the bifurcations of spatiotemporal patterns Buy Aijun Zhang Dissertation Online at a discount

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    . The intrinsic identification problem is discussed for both vda and dtsa. Specifically, we consider vda under gaussian process models, provide an efficient mev backfitting algorithm and assess its performance with both simulation and real examples. It includes vintage data analysis (vda) for continuous type of responses in the third chapter, and dual-time survival analysis (dtsa) in the fourth chapter. I am a visiting assistant professor at oregon state university since 82016.

    My interests are on dynamical aspects of differential equations, including partial differential equations   and  integro-differential equations, arising in biology, neuroscience and other applied sciences Aijun Zhang Dissertation For Sale

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    . We consider nonparametric estimators, first-passage-time parameterization and semiparametric cox regression. The intrinsic identification problem is discussed for both vda and dtsa. It includes vintage data analysis (vda) for continuous type of responses in the third chapter, and dual-time survival analysis (dtsa) in the fourth chapter. These developments extend the family of models for both credit risk modeling and survival analysis.

    We demonstrate the application of dtsa to credit card and mortgage risk analysis in retail banking, and shed some light on understanding the ongoing credit crisis. In the first chapter, we provide an up-to-date review of credit risk models and demonstrate their close connection to survival analysis For Sale Aijun Zhang Dissertation

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    These developments extend the family of models for both credit risk modeling and survival analysis. Two challenging issues that arise in this context are evaluation of reproducing kernel and determination of local penalty, for which we derive an explicit solution based on piecewise type of local adaptation. It includes vintage data analysis (vda) for continuous type of responses in the third chapter, and dual-time survival analysis (dtsa) in the fourth chapter. We propose a maturation-exogenous-vintage (mev) decomposition strategy in order to understand the risk determinants in terms of self-maturation in lifetime, exogenous influence by macroeconomic conditions, and heterogeneity induced from vintage originations Sale Aijun Zhang Dissertation

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