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You searched for +publisher:"Case Western Reserve University School of Graduate Studies" +contributor:("Sun, Jiayang"). Showing records 1 – 7 of 7 total matches.

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1. 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

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

Subjects/Keywords: Statistics; nFCA

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

APA (6th 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 (16th 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 May 08, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1285341426.

MLA Handbook (7th Edition):

Ma, Junheng. “Contributions to Numerical Formal Concept Analysis, Bayesian Predictive Inference and Sample Size Determination.” 2011. Web. 08 May 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 May 08]. 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

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

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

 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… (more)

Subjects/Keywords: Statistics; covariance estimation; control chart; continuous Gaussian processes; stationarity; nonstationarity

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APA (6th 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 (16th 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 May 08, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1291406214.

MLA Handbook (7th Edition):

Fan, Yiying. “Covariance estimation and application to building a new control chart.” 2010. Web. 08 May 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 May 08]. 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

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

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

 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… (more)

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 (6th 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 (16th Edition):

Liu, Peng. “Adaptive Mixture Estimation and Subsampling PCA.” 2009. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed May 08, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686.

MLA Handbook (7th Edition):

Liu, Peng. “Adaptive Mixture Estimation and Subsampling PCA.” 2009. Web. 08 May 2021.

Vancouver:

Liu P. Adaptive Mixture Estimation and Subsampling PCA. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2009. [cited 2021 May 08]. 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

4. 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

 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… (more)

Subjects/Keywords: Statistics; Spatial-temporal data; Medical imaging; Registration; Smoothing; Measurement error models; Deconvolution; Semiparametrics

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APA (6th 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 (16th 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 May 08, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1121447716.

MLA Handbook (7th Edition):

Wang, Xiaofeng. “New Procedures for Data Mining and Measurement Error Models with Medical Imaging Applications.” 2005. Web. 08 May 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 May 08]. 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

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

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

  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

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APA (6th 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 (16th Edition):

Zhang, Zhongfa. “Multiple Hypothesis Testing For Finite and Infinite Test.” 2005. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed May 08, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1121461130.

MLA Handbook (7th Edition):

Zhang, Zhongfa. “Multiple Hypothesis Testing For Finite and Infinite Test.” 2005. Web. 08 May 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 May 08]. 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

6. 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

 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,… (more)

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 (6th 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 (16th 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 May 08, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case152845439167999.

MLA Handbook (7th 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. 08 May 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 May 08]. 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

7. 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

  Statistical data mining is one of the most active research areas. In this thesis we develop two new data mining procedures and explore their… (more)

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 (6th 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 (16th 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 May 08, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1196144281.

MLA Handbook (7th Edition):

Xu, Yaomin. “New Clustering and Feature Selection Procedures with Applications to Gene Microarray Data.” 2008. Web. 08 May 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 May 08]. 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

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