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You searched for `+publisher:"Case Western Reserve University School of Graduate Studies" +contributor:("Sun, Jiayang")`

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1. Xu, Yaomin. New Clustering and Feature Selection Procedures with Applications to Gene Microarray Data.

Degree: PhD, Statistics, 2008, Case Western Reserve University School of Graduate Studies

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1196144281

► Statistical data mining is one of the most active research areas. In this thesis we develop two new data mining procedures and explore their…
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Subjects/Keywords: Statistics; Bioinformatics; coherence index; data mining; feature selection; gene expression pathway; gene profiling; informative gene; microarray data; profile cluster analysis; partitioning; regulatory network; statistical pattern recognition

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

APA (6^{th} Edition):

Xu, Y. (2008). New Clustering and Feature Selection Procedures with Applications to Gene Microarray Data. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1196144281

Chicago Manual of Style (16^{th} Edition):

Xu, Yaomin. “New Clustering and Feature Selection Procedures with Applications to Gene Microarray Data.” 2008. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1196144281.

MLA Handbook (7^{th} Edition):

Xu, Yaomin. “New Clustering and Feature Selection Procedures with Applications to Gene Microarray Data.” 2008. Web. 23 Apr 2021.

Vancouver:

Xu Y. New Clustering and Feature Selection Procedures with Applications to Gene Microarray Data. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2008. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1196144281.

Council of Science Editors:

Xu Y. New Clustering and Feature Selection Procedures with Applications to Gene Microarray Data. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1196144281

2. Cho, Jang Ik. Partial EM Procedure for Big-Data Linear Mixed Effects Model, and Generalized PPE for High-Dimensional Data in Julia.

Degree: PhD, Epidemiology and Biostatistics, 2018, Case Western Reserve University School of Graduate Studies

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case152845439167999

► Methodologically, this dissertation contributes to two areas in Statistics: Linear mixed effects models for big data and Test of equal covariance for high-dimensional data. Scientifically,…
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Subjects/Keywords: Statistics; Biostatistics; Biomedical Research; Health; Mining; Partial EM, Big Data, Mixed Effects, SCAN, ECHO, Projection Pursuit, PPE, Covariacne, High-dimensional Data, Clustering

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

APA (6^{th} Edition):

Cho, J. I. (2018). Partial EM Procedure for Big-Data Linear Mixed Effects Model, and Generalized PPE for High-Dimensional Data in Julia. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case152845439167999

Chicago Manual of Style (16^{th} Edition):

Cho, Jang Ik. “Partial EM Procedure for Big-Data Linear Mixed Effects Model, and Generalized PPE for High-Dimensional Data in Julia.” 2018. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case152845439167999.

MLA Handbook (7^{th} Edition):

Cho, Jang Ik. “Partial EM Procedure for Big-Data Linear Mixed Effects Model, and Generalized PPE for High-Dimensional Data in Julia.” 2018. Web. 23 Apr 2021.

Vancouver:

Cho JI. Partial EM Procedure for Big-Data Linear Mixed Effects Model, and Generalized PPE for High-Dimensional Data in Julia. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2018. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case152845439167999.

Council of Science Editors:

Cho JI. Partial EM Procedure for Big-Data Linear Mixed Effects Model, and Generalized PPE for High-Dimensional Data in Julia. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case152845439167999

3. Fan, Yiying. Covariance estimation and application to building a new control chart.

Degree: PhD, Statistics, 2010, Case Western Reserve University School of Graduate Studies

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1291406214

► Development of new methods of statistical process control (SPC) is extremelyimportant for modern surveillance applications. Typical challengesin SPC are that the data are correlated and…
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Subjects/Keywords: Statistics; covariance estimation; control chart; continuous Gaussian processes; stationarity; nonstationarity

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

APA (6^{th} Edition):

Fan, Y. (2010). Covariance estimation and application to building a new control chart. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1291406214

Chicago Manual of Style (16^{th} Edition):

Fan, Yiying. “Covariance estimation and application to building a new control chart.” 2010. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1291406214.

MLA Handbook (7^{th} Edition):

Fan, Yiying. “Covariance estimation and application to building a new control chart.” 2010. Web. 23 Apr 2021.

Vancouver:

Fan Y. Covariance estimation and application to building a new control chart. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2010. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1291406214.

Council of Science Editors:

Fan Y. Covariance estimation and application to building a new control chart. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1291406214

4. Liu, Peng. Adaptive Mixture Estimation and Subsampling PCA.

Degree: PhD, Sciences, 2009, Case Western Reserve University School of Graduate Studies

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686

► Data mining is important in scientific research, knowledge discovery and decision making. A typical challenge in data mining is that a data set may be…
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Subjects/Keywords: Statistics; large data; data mining; mixture models; Gaussian mixtures; parameter estimation; adaptive procedure; partial EM; high-dimensional data; large p small n; dimension reduction; feature selection; subsampling

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

APA (6^{th} Edition):

Liu, P. (2009). Adaptive Mixture Estimation and Subsampling PCA. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686

Chicago Manual of Style (16^{th} Edition):

Liu, Peng. “Adaptive Mixture Estimation and Subsampling PCA.” 2009. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686.

MLA Handbook (7^{th} Edition):

Liu, Peng. “Adaptive Mixture Estimation and Subsampling PCA.” 2009. Web. 23 Apr 2021.

Vancouver:

Liu P. Adaptive Mixture Estimation and Subsampling PCA. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2009. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686.

Council of Science Editors:

Liu P. Adaptive Mixture Estimation and Subsampling PCA. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686

5. Wang, Xiaofeng. New Procedures for Data Mining and Measurement Error Models with Medical Imaging Applications.

Degree: PhD, Statistics, 2005, Case Western Reserve University School of Graduate Studies

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1121447716

► In this dissertation we provide analysis strategies for two research areas: spatial-temporal data mining and measurement error problems. Motivated by analyzing data from a "Neuromuscular…
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Subjects/Keywords: Statistics; Spatial-temporal data; Medical imaging; Registration; Smoothing; Measurement error models; Deconvolution; Semiparametrics

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

APA (6^{th} Edition):

Wang, X. (2005). New Procedures for Data Mining and Measurement Error Models with Medical Imaging Applications. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1121447716

Chicago Manual of Style (16^{th} Edition):

Wang, Xiaofeng. “New Procedures for Data Mining and Measurement Error Models with Medical Imaging Applications.” 2005. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1121447716.

MLA Handbook (7^{th} Edition):

Wang, Xiaofeng. “New Procedures for Data Mining and Measurement Error Models with Medical Imaging Applications.” 2005. Web. 23 Apr 2021.

Vancouver:

Wang X. New Procedures for Data Mining and Measurement Error Models with Medical Imaging Applications. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2005. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1121447716.

Council of Science Editors:

Wang X. New Procedures for Data Mining and Measurement Error Models with Medical Imaging Applications. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2005. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1121447716

6. Zhang, Zhongfa. Multiple Hypothesis Testing For Finite and Infinite Test.

Degree: PhD, Statistics, 2005, Case Western Reserve University School of Graduate Studies

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1121461130

► Multiple hypotheses testing is one of the most active research areas in statistics. The number of hypotheses can be finite or infinite. For a…
(more)

Subjects/Keywords: m0; FDR; FWER

Record Details Similar Records

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

APA (6^{th} Edition):

Zhang, Z. (2005). Multiple Hypothesis Testing For Finite and Infinite Test. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1121461130

Chicago Manual of Style (16^{th} Edition):

Zhang, Zhongfa. “Multiple Hypothesis Testing For Finite and Infinite Test.” 2005. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1121461130.

MLA Handbook (7^{th} Edition):

Zhang, Zhongfa. “Multiple Hypothesis Testing For Finite and Infinite Test.” 2005. Web. 23 Apr 2021.

Vancouver:

Zhang Z. Multiple Hypothesis Testing For Finite and Infinite Test. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2005. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1121461130.

Council of Science Editors:

Zhang Z. Multiple Hypothesis Testing For Finite and Infinite Test. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2005. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1121461130

7. Ma, Junheng. Contributions to Numerical Formal Concept Analysis, Bayesian Predictive Inference and Sample Size Determination.

Degree: PhD, Statistics, 2011, Case Western Reserve University School of Graduate Studies

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1285341426

► This dissertation contributes to three areas in Statistics: Numerical Formal Concept Analysis (nFCA), Bayesian predictive inference and sample size determination, and has applications beyond…
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Subjects/Keywords: Statistics; nFCA

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

APA (6^{th} Edition):

Ma, J. (2011). Contributions to Numerical Formal Concept Analysis, Bayesian Predictive Inference and Sample Size Determination. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1285341426

Chicago Manual of Style (16^{th} Edition):

Ma, Junheng. “Contributions to Numerical Formal Concept Analysis, Bayesian Predictive Inference and Sample Size Determination.” 2011. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1285341426.

MLA Handbook (7^{th} Edition):

Ma, Junheng. “Contributions to Numerical Formal Concept Analysis, Bayesian Predictive Inference and Sample Size Determination.” 2011. Web. 23 Apr 2021.

Vancouver:

Ma J. Contributions to Numerical Formal Concept Analysis, Bayesian Predictive Inference and Sample Size Determination. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2011. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1285341426.

Council of Science Editors:

Ma J. Contributions to Numerical Formal Concept Analysis, Bayesian Predictive Inference and Sample Size Determination. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1285341426