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Michigan Technological University. Mathematical Sciences. degree granting institution.

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Columbia University. Statistics. degree granting institution.

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State University of New York at Stony Brook. Applied Mathematics and Statistics. degree granting institution.

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Marshall University. Mathematics. degree granting institution.

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The University of North Carolina at Chapel Hill. Biostatistics. degree granting institution.

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The University of Wisconsin - Madison. Statistics. degree granting institution.

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University of California, Los Angeles. Statistics. degree granting institution.

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Addo, Evans Dapaa, author.

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Agboola, Oluwagbenga David, author.

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Baylor University. Statistical Science. degree granting institution.

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Berchuck, Samuel L., author.

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Bowman, Adrian William, author.

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Cheng, Edward K., author.

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Demirdjian, Levon, author.

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Derpanopoulos, George, author.

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Drexel University. Business Administration (LeBow College of Business). degree granting institution.

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East Tennessee State University. degree granting institution.

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Ellis, Amanda R., author.

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Fischer, Jonathan, author.

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Florida Institute of Technology. Marine and Environmental Systems. degree granting institution.

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Garcia, Jose Alfonso Campillo, author.

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Glotzer, Dylan, author.

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He, Shuyao, author.

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Hill, Chelsey Helena, author.

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Holman, Bryan Paul, author.

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Iheagwam, Success Chijioke, author.

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Iowa State University. Statistics. degree granting institution.

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Jiao, Feiran, author.

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Kansas State University. Department of Statistics. degree granting institution.

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Keele, Gregory R., author.

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King, J. Clay, author.

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Lamar University - Beaumont. Mathematics. degree granting institution.

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Li, Kaiqiao, author.

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Li, Xiaomao, author.

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Liang, Xiaoyu, author.

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Lu, Feihan, author.

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Lu, Junwei, author.

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Mena, Gonzalo E., author.

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Mohammed, Kitty, author.

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Natarajan, Balasubramaniam, author.

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Ndiaye, Sokhna Mariama, author.

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Nguyen, Yet, author.

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Northeastern University. Department of Game Design. degree granting institution.

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Northern Illinois University. Mathematical Sciences. degree granting institution.

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Oluwagbenga, Agboola David, author.

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Princeton University. Operations Research and Financial Engineering. degree granting institution.

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Shi, Huwenbo, author.

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Shirman, Aleksandra, author.

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Syring, Nicholas Aaron, author.

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The University of Iowa. Statistics. degree granting institution.

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The University of North Carolina at Chapel Hill. Bioinformatics and Computational Biology. degree granting institution.

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The University of North Carolina at Chapel Hill. Economics. degree granting institution.

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The University of North Carolina at Chapel Hill. Statistics and Operations Research. degree granting institution.

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University of California, Berkeley. Statistics. degree granting institution.

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University of California, Los Angeles. Bioinformatics 025F. degree granting institution.

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University of California, San Diego. Physics. degree granting institution.

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University of Colorado at Denver. Applied Mathematics. degree granting institution.

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University of Glasgow (United Kingdom). Department not provided. degree granting institution.

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University of Illinois at Chicago. Mathematics, Statistics, and Computer Science. degree granting institution.

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University of Kansas. Biostatistics. degree granting institution.

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University of Kentucky. Statistics. degree granting institution.

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University of Minnesota. Electrical Engineering. degree granting institution.

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University of Washington. Statistics. degree granting institution.

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Wang, Gang, author.

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Wang, Qi, author.

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Wang, Yiqing, author.

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Wang, Zhenchuan, author.

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Yang, Xinlan, author. (orcid)0000-0003-1321-1571

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Zhang, Mengru, author.

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Zhao, Zifeng, author.

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Zhong, Yi, author.

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Zhou, Xuan, author.

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Zhu, Huanhuan, author.

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African studies.

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Cover image for Statistical Machine Learning Methods for the Large-Scale Analysis of Neural Data

Statistical Machine Learning Methods for the Large-Scale Analysis of Neural Data

13.

Statistical Machine Learning Methods for the Large-Scale Analysis of Neural Data

by

Mena, Gonzalo E., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10830688

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Excerpt:

Statistical Machine Learning Methods for the Large-Scale Analysis of Neural Data / Mena, Gonzalo E

Cover image for A Dependent Competing Risks Model

A Dependent Competing Risks Model

14.

A Dependent Competing Risks Model

by

Wang, Yiqing, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10686415

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Excerpt:

establish identifiability and methods for statistical inference in this framework. This proposed model has

Cover image for Automotive Recall Decisions

Automotive Recall Decisions

15.

Automotive Recall Decisions

by

Hill, Chelsey Helena, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10825134

Format:

Excerpt:

, proactive recalls and recall timing. Textual, statistical and analytical analysis methods are used to

Cover image for Performance Comparison of Imputation Algorithms on Missing at Random Data

Performance Comparison of Imputation Algorithms on Missing at Random Data

16.

Performance Comparison of Imputation Algorithms on Missing at Random Data

by

Addo, Evans Dapaa, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10904504

Format:

Excerpt:

all the widely accepted and standard statistical methods assume complete data for all variables

Cover image for Applications of Bayesian Quantile Regression and Sample Size Determination

Applications of Bayesian Quantile Regression and Sample Size Determination

17.

Applications of Bayesian Quantile Regression and Sample Size Determination

by

King, J. Clay, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10784627

Format:

Excerpt:

Bayesian statistical methods reverse the philosophy of traditional statistical practice by treating

Cover image for Spatio-Temporal Cokriging of Temperature and Precipitation in Africa

Spatio-Temporal Cokriging of Temperature and Precipitation in Africa

18.

Spatio-Temporal Cokriging of Temperature and Precipitation in Africa

by

Ndiaye, Sokhna Mariama, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823228

Format:

Excerpt:

The research presented in this thesis focuses on two alternative statistical methods for spatial

Cover image for Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

19.

Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

by

Agboola, Oluwagbenga David, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10824140

Format:

Excerpt:

approach uses logistic regression with zero intercept as the statistical model that fits this situation. In

Cover image for Selected Legal Applications for Bayesian Methods

Selected Legal Applications for Bayesian Methods

20.

Selected Legal Applications for Bayesian Methods

by

Cheng, Edward K., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10830769

Format:

Excerpt:

complex litigation involving multiple firms. It investigates optimization and statistical approaches that

Cover image for Optimal Recommendation of Individual Dose Intervals

Optimal Recommendation of Individual Dose Intervals

21.

Optimal Recommendation of Individual Dose Intervals

by

Li, Xiaomao, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10838700

Format:

Excerpt:

The recent years witnessed a surge in the intellectual interest of statistical methods for

Cover image for Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

22.

Preference Probability Based on Ranks - A New Approach Using Logistic Regression with Zero Intercept

by

Oluwagbenga, Agboola David, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10813529

Format:

Excerpt:

approach uses logistic regression with zero intercept as the statistical model that fits this situation. In

Cover image for Asymptotic properties of Non-parametric Regression with Beta Kernels

Asymptotic properties of Non-parametric Regression with Beta Kernels

23.

Asymptotic properties of Non-parametric Regression with Beta Kernels

by

Natarajan, Balasubramaniam, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10688559

Format:

Excerpt:

. The efficacy of kernel based methods depend both on the kernel choice and the smoothing parameter

Cover image for Feature Selection and Classification for High-Dimensional Biological Data Under Cross-Validation Framework

Feature Selection and Classification for High-Dimensional Biological Data Under Cross-Validation Framework

24.

Feature Selection and Classification for High-Dimensional Biological Data Under Cross-Validation Framework

by

Zhong, Yi, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10817332

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Excerpt:

biological datasets and the statistical methods to analyze such data; (2) several statistical and machine

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