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You searched for +publisher:"University of Texas – Austin" +contributor:("Zhou, Mingyuan (Assistant professor)"). Showing records 1 – 5 of 5 total matches.

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University of Texas – Austin

1. Xu, Jing, M.S. in Statistics. Predict house prices using quantile regression.

Degree: Statistics, 2018, University of Texas – Austin

 Quantile Regression Model (QRM), introduced by Koenker and Bassett in 1978, is a well-established and widely used technique in theoretical and applied statistics. QRM is… (more)

Subjects/Keywords: Quantile regression; Variable selection; Bayesian Quantile Regression; Quantile regression forest

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

APA (6th Edition):

Xu, Jing, M. S. i. S. (2018). Predict house prices using quantile regression. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/67630

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xu, Jing, M S in Statistics. “Predict house prices using quantile regression.” 2018. Thesis, University of Texas – Austin. Accessed August 17, 2019. http://hdl.handle.net/2152/67630.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xu, Jing, M S in Statistics. “Predict house prices using quantile regression.” 2018. Web. 17 Aug 2019.

Vancouver:

Xu, Jing MSiS. Predict house prices using quantile regression. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2152/67630.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu, Jing MSiS. Predict house prices using quantile regression. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/67630

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

2. Zheng, Hanyue. KKBox subscription prediction : an application of machine learning methods.

Degree: Statistics, 2018, University of Texas – Austin

 This report used datasets from a Kaggle competition which aims to develop machine learning models to predict if users of a music app called KKBox… (more)

Subjects/Keywords: Machine learning; Classification; Machine learning models; Machine learning model development; Machine learning classification models; Machine learning model performance

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

APA (6th Edition):

Zheng, H. (2018). KKBox subscription prediction : an application of machine learning methods. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/67638

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zheng, Hanyue. “KKBox subscription prediction : an application of machine learning methods.” 2018. Thesis, University of Texas – Austin. Accessed August 17, 2019. http://hdl.handle.net/2152/67638.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zheng, Hanyue. “KKBox subscription prediction : an application of machine learning methods.” 2018. Web. 17 Aug 2019.

Vancouver:

Zheng H. KKBox subscription prediction : an application of machine learning methods. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2152/67638.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zheng H. KKBox subscription prediction : an application of machine learning methods. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/67638

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

3. Zhan, Wenjing. Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation.

Degree: Statistics, 2014, University of Texas – Austin

 The key task for a search engine advertising system is, for each query that the search engine receives, to choose what advertisement should be displayed,… (more)

Subjects/Keywords: CTR prediction; Poisson factorization

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

APA (6th Edition):

Zhan, W. (2014). Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26580

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhan, Wenjing. “Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation.” 2014. Thesis, University of Texas – Austin. Accessed August 17, 2019. http://hdl.handle.net/2152/26580.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhan, Wenjing. “Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation.” 2014. Web. 17 Aug 2019.

Vancouver:

Zhan W. Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2152/26580.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhan W. Clicks prediction with L1 regularized logistic regression and a study on poisson factorization recommender evaluation. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/26580

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

4. -0503-0316. Predicting success of bank telemarketing with classification trees and logistic regression.

Degree: Statistics, 2016, University of Texas – Austin

 Success of bank marketing campaign is predicted with customer features, campaign information and economic attributes. To predict whether or not clients will subscribe long-term deposit,… (more)

Subjects/Keywords: Bank telemarketing; Classification; Logistic regression; Random forest; Stochastic gradient boosting

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

APA (6th Edition):

-0503-0316. (2016). Predicting success of bank telemarketing with classification trees and logistic regression. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41744

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-0503-0316. “Predicting success of bank telemarketing with classification trees and logistic regression.” 2016. Thesis, University of Texas – Austin. Accessed August 17, 2019. http://hdl.handle.net/2152/41744.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-0503-0316. “Predicting success of bank telemarketing with classification trees and logistic regression.” 2016. Web. 17 Aug 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-0503-0316. Predicting success of bank telemarketing with classification trees and logistic regression. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2152/41744.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-0503-0316. Predicting success of bank telemarketing with classification trees and logistic regression. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41744

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

5. Duan, Yutong. Implementing the multimodel generalized beta estimator in stata and its application.

Degree: Statistics, 2016, University of Texas – Austin

 The multimodel generalized beta estimator (MGBE) described by von Hippel, Scarpino and Hola (2014) provides researchers with an improved way to estimate inequality from binned… (more)

Subjects/Keywords: Binned income; Stata; Multimodel

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

APA (6th Edition):

Duan, Y. (2016). Implementing the multimodel generalized beta estimator in stata and its application. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41725

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Duan, Yutong. “Implementing the multimodel generalized beta estimator in stata and its application.” 2016. Thesis, University of Texas – Austin. Accessed August 17, 2019. http://hdl.handle.net/2152/41725.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Duan, Yutong. “Implementing the multimodel generalized beta estimator in stata and its application.” 2016. Web. 17 Aug 2019.

Vancouver:

Duan Y. Implementing the multimodel generalized beta estimator in stata and its application. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Aug 17]. Available from: http://hdl.handle.net/2152/41725.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Duan Y. Implementing the multimodel generalized beta estimator in stata and its application. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41725

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.