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University of California, Los Angeles. Statistics 0891. degree granting institution.

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Massachusetts Institute of Technology. degree granting institution.

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University of South Florida. Mathematics and Statistics. degree granting institution.

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Addo, Evans Dapaa, author.

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Ananyev, Maxim, author.

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Chen, Han, author.

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Chen, Shiyun, author.

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Comes, Eric Navarro, author.

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Cornell University. Computer Science. degree granting institution.

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Dmitrieva, Tatiana, author.

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East Tennessee State University. degree granting institution.

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Ellis, Amanda R., author.

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Guo, Ge, author. (orcid)0000-0001-8404-2256

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Hou, Ruizhe, author.

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Huang, Weiyu, author.

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Illinois Institute of Technology. Electrical and Computer Engineering. degree granting institution.

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Iowa State University. Industrial and Manufacturing Systems Engineering. 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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Koçak, Mustafa Anil, author.

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Lee, Moontae, author.

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Li, Quan, author.

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Li, Xiongya, author.

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New York University Tandon School of Engineering. Electrical and Computer Engineering. degree granting institution.

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Northern Illinois University. Mathematical Sciences. degree granting institution.

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Olson, Matthew, author.

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Pham, Minh H., author.

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Saeedi, Ardavan, author.

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Sheth, Rishit, author.

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The University of Chicago. Statistics. degree granting institution.

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The University of Iowa. Statistics. degree granting institution.

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

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Tufts University. Computer Science. degree granting institution.

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Tzougas, John George, author.

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University of California, Berkeley. Electrical Engineering and Computer Sciences. degree granting institution.

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

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

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University of Florida. degree granting institution.

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University of Glasgow (United Kingdom). Department not provided. 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 Maryland, College Park. Mathematical Statistics. degree granting institution.

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University of Minnesota. Electrical Engineering. degree granting institution.

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University of Pennsylvania. Electrical and Systems Engineering. degree granting institution.

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University of Pennsylvania. Statistics. degree granting institution.

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University of Wyoming. Statistics. degree granting institution.

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Wang, Gang, author.

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Wong, Sze Wai, author.

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Woytarowicz, Nicole, author.

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Xie, Meihui, author.

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Yang, Fan, author.

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Yao, Xuan, author.

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Yin, Tianzhixi, author.

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Zhang, Liyuan, author.

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Zhong, Yi, author.

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Zhou, Zhixin, author.

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Cover image for Optimal Bipartite Network Clustering

Optimal Bipartite Network Clustering

13.

Optimal Bipartite Network Clustering

by

Zhou, Zhixin, 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:10825201

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Excerpt:

version of the algorithm is derived from a general blueprint for pseudo-likelihood biclustering algorithms

Cover image for Improved Approximate Bayesian Computation Methods for Censored and Uncensored Data

Improved Approximate Bayesian Computation Methods for Censored and Uncensored Data

14.

Improved Approximate Bayesian Computation Methods for Censored and Uncensored Data

by

Dmitrieva, Tatiana, 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:10787848

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Excerpt:

allows these choices to be avoided. In this dissertation, two improved methods of the ABC algorithms via

Cover image for Accounting for Matching Uncertainty in Photographic Identification Studies of Wild Animals

Accounting for Matching Uncertainty in Photographic Identification Studies of Wild Animals

15.

Accounting for Matching Uncertainty in Photographic Identification Studies of Wild Animals

by

Ellis, Amanda R., 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:10902375

Format:

Excerpt:

accepts scores assigned to pairs of photographs by pattern recognition algorithms as data and allows for

Cover image for Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods

Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods

16.

Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods

by

Pham, Minh H., 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:10785863

Format:

Excerpt:

efficient method to inspect post-marketing drug safety is to use data mining algorithms on electronic health

Cover image for Machine Learning Methods for Predicting Global and Local Crime in an Urban Area

Machine Learning Methods for Predicting Global and Local Crime in an Urban Area

17.

Machine Learning Methods for Predicting Global and Local Crime in an Urban Area

by

Comes, Eric Navarro, 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:10807821

Format:

Excerpt:

-of-the-art learning algorithms can achieve improved prediction accuracy over traditional methods based on time series

Cover image for Rotten Banks: Predicting Bank Failures After Great Recession through Binary Classification

Rotten Banks: Predicting Bank Failures After Great Recession through Binary Classification

18.

Rotten Banks: Predicting Bank Failures After Great Recession through Binary Classification

by

Ananyev, Maxim, 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:10829638

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Excerpt:

-of-sample predictive accuracy of 96 percent but misses all the failures. Two algorithms, post-Lasso logit, and random

Cover image for Discretizing Continuous Attributes of a Bayesian Network with a Birth and Death Process Based on Minimum Description Length

Discretizing Continuous Attributes of a Bayesian Network with a Birth and Death Process Based on Minimum Description Length

19.

Discretizing Continuous Attributes of a Bayesian Network with a Birth and Death Process Based on Minimum Description Length

by

Woytarowicz, Nicole, 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:10809965

Format:

Excerpt:

algorithms is that the data are either from discrete or Gaussian distributions. In the event that neither

Cover image for Robust Multivariate Mixture Regression Models

Robust Multivariate Mixture Regression Models

20.

Robust Multivariate Mixture Regression Models

by

Li, Xiongya, 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:10686691

Format:

Excerpt:

the robust t procedure. The ascent property for both EM algorithms is also proved. In the third part

Cover image for Trace Class Markov Chains for Bayesian Shrinkage Models

Trace Class Markov Chains for Bayesian Shrinkage Models

21.

Trace Class Markov Chains for Bayesian Shrinkage Models

by

Zhang, Liyuan, 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:10902870

Format:

Excerpt:

. Additionally, it facilitates theoretical comparisons of the two-block sampler with sandwich algorithms which

Cover image for Joint-Stochastic Spectral Inference for Robust Co-Occurrence Modeling and Latent Topic Analysis

Joint-Stochastic Spectral Inference for Robust Co-Occurrence Modeling and Latent Topic Analysis

22.

Joint-Stochastic Spectral Inference for Robust Co-Occurrence Modeling and Latent Topic Analysis

by

Lee, Moontae, 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:10823238

Format:

Excerpt:

efficiency, but at costs: a) The algorithms perform poorly on real data that does not necessarily follow

Cover image for Models for Spatial Point Processes on the Sphere with Application to Planetary Science

Models for Spatial Point Processes on the Sphere with Application to Planetary Science

23.

Models for Spatial Point Processes on the Sphere with Application to Planetary Science

by

Xie, Meihui, 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:10826819

Format:

Excerpt:

-Hastings algorithms to account for spherical geometry.

Cover image for Reliable Online Prediction with Refuse Option

Reliable Online Prediction with Refuse Option

24.

Reliable Online Prediction with Refuse Option

by

Koçak, Mustafa Anil, 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:10641615

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Excerpt:

epsilon. Our approach, based on conformal predictors, refuses less often than state-of-art meta-algorithms

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