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You searched for +publisher:"University of Texas – Austin" +contributor:("Scott, James (Statistician)"). Showing records 1 – 7 of 7 total matches.

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1. Zhang, Wenjie, active 2013. The relationships between crime rate and income inequality : evidence from China.

Degree: MSin Statistics, Statistics, 2013, University of Texas – Austin

 The main purpose of this study is to determine if a Bayesian approach can better capture and provide reasonable predictions for the complex linkage between… (more)

Subjects/Keywords: Crime rate; Inequality; Classical inference; Bayesian inference

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APA (6th Edition):

Zhang, Wenjie, a. 2. (2013). The relationships between crime rate and income inequality : evidence from China. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/22551

Chicago Manual of Style (16th Edition):

Zhang, Wenjie, active 2013. “The relationships between crime rate and income inequality : evidence from China.” 2013. Masters Thesis, University of Texas – Austin. Accessed September 27, 2020. http://hdl.handle.net/2152/22551.

MLA Handbook (7th Edition):

Zhang, Wenjie, active 2013. “The relationships between crime rate and income inequality : evidence from China.” 2013. Web. 27 Sep 2020.

Vancouver:

Zhang, Wenjie a2. The relationships between crime rate and income inequality : evidence from China. [Internet] [Masters thesis]. University of Texas – Austin; 2013. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/2152/22551.

Council of Science Editors:

Zhang, Wenjie a2. The relationships between crime rate and income inequality : evidence from China. [Masters Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/22551


University of Texas – Austin

2. Buddhavarapu, Prasad Naga Venkata Siva Rama. Modeling unobserved heterogeneity of spatially correlated count data using finite-mixture random parameters.

Degree: MSin Statistics, Statistics, 2015, University of Texas – Austin

 The main goal of this research is to propose a specification to model the unobserved heterogeneity in count outcomes. A negative binomial likelihood is utilized… (more)

Subjects/Keywords: Finite-mixture models; Negative-binomial; Unobserved heterogeneity; Bayesian inference; Data-augmentation

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APA (6th Edition):

Buddhavarapu, P. N. V. S. R. (2015). Modeling unobserved heterogeneity of spatially correlated count data using finite-mixture random parameters. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32501

Chicago Manual of Style (16th Edition):

Buddhavarapu, Prasad Naga Venkata Siva Rama. “Modeling unobserved heterogeneity of spatially correlated count data using finite-mixture random parameters.” 2015. Masters Thesis, University of Texas – Austin. Accessed September 27, 2020. http://hdl.handle.net/2152/32501.

MLA Handbook (7th Edition):

Buddhavarapu, Prasad Naga Venkata Siva Rama. “Modeling unobserved heterogeneity of spatially correlated count data using finite-mixture random parameters.” 2015. Web. 27 Sep 2020.

Vancouver:

Buddhavarapu PNVSR. Modeling unobserved heterogeneity of spatially correlated count data using finite-mixture random parameters. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/2152/32501.

Council of Science Editors:

Buddhavarapu PNVSR. Modeling unobserved heterogeneity of spatially correlated count data using finite-mixture random parameters. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32501

3. Madrid Padilla, Oscar Hernan. Constrained estimation via the fused lasso and some generalizations.

Degree: PhD, Statistics, 2017, University of Texas – Austin

 This dissertation studies structurally constrained statistical estimators. Two entwined main themes are developed: computationally efficient algorithms, and strong statistical guarantees of estimators across a wide… (more)

Subjects/Keywords: Fused lasso; Penalized likelihood.

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APA (6th Edition):

Madrid Padilla, O. H. (2017). Constrained estimation via the fused lasso and some generalizations. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63067

Chicago Manual of Style (16th Edition):

Madrid Padilla, Oscar Hernan. “Constrained estimation via the fused lasso and some generalizations.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed September 27, 2020. http://hdl.handle.net/2152/63067.

MLA Handbook (7th Edition):

Madrid Padilla, Oscar Hernan. “Constrained estimation via the fused lasso and some generalizations.” 2017. Web. 27 Sep 2020.

Vancouver:

Madrid Padilla OH. Constrained estimation via the fused lasso and some generalizations. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/2152/63067.

Council of Science Editors:

Madrid Padilla OH. Constrained estimation via the fused lasso and some generalizations. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63067

4. Lakin, Richard Thomas. Bayesian hierarchical parametric survival analysis for NBA career longevity.

Degree: MSin Statistics, Statistics, 2012, University of Texas – Austin

 In evaluating a prospective NBA player, one might consider past performance in the player’s previous years of competition. In doing so, a general manager may… (more)

Subjects/Keywords: Survival; Bayesian; Hierarchical; NBA; Sports

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APA (6th Edition):

Lakin, R. T. (2012). Bayesian hierarchical parametric survival analysis for NBA career longevity. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-05-5631

Chicago Manual of Style (16th Edition):

Lakin, Richard Thomas. “Bayesian hierarchical parametric survival analysis for NBA career longevity.” 2012. Masters Thesis, University of Texas – Austin. Accessed September 27, 2020. http://hdl.handle.net/2152/ETD-UT-2012-05-5631.

MLA Handbook (7th Edition):

Lakin, Richard Thomas. “Bayesian hierarchical parametric survival analysis for NBA career longevity.” 2012. Web. 27 Sep 2020.

Vancouver:

Lakin RT. Bayesian hierarchical parametric survival analysis for NBA career longevity. [Internet] [Masters thesis]. University of Texas – Austin; 2012. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5631.

Council of Science Editors:

Lakin RT. Bayesian hierarchical parametric survival analysis for NBA career longevity. [Masters Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5631

5. -1538-3599. Spatial pricing empirical evaluation of ride-sourcing trips using the graph-fussed lasso for total variation denoising.

Degree: MSin Statistics, Statistics, 2019, University of Texas – Austin

 This study explores the spatial pricing discrimination of ride-sourcing trips using empirical data. We use information from more than 1.1 million rides in Austin, Texas,… (more)

Subjects/Keywords: Ride-sourcing; Ride-sharing; Spatial pricing; Fused lasso; Total variation denoising; Graph smoothing

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APA (6th Edition):

-1538-3599. (2019). Spatial pricing empirical evaluation of ride-sourcing trips using the graph-fussed lasso for total variation denoising. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/72845

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

Chicago Manual of Style (16th Edition):

-1538-3599. “Spatial pricing empirical evaluation of ride-sourcing trips using the graph-fussed lasso for total variation denoising.” 2019. Masters Thesis, University of Texas – Austin. Accessed September 27, 2020. http://hdl.handle.net/2152/72845.

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

MLA Handbook (7th Edition):

-1538-3599. “Spatial pricing empirical evaluation of ride-sourcing trips using the graph-fussed lasso for total variation denoising.” 2019. Web. 27 Sep 2020.

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

Vancouver:

-1538-3599. Spatial pricing empirical evaluation of ride-sourcing trips using the graph-fussed lasso for total variation denoising. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/2152/72845.

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

Council of Science Editors:

-1538-3599. Spatial pricing empirical evaluation of ride-sourcing trips using the graph-fussed lasso for total variation denoising. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://hdl.handle.net/2152/72845

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

6. -5294-4228. Scalable smoothing algorithms for massive graph-structured data.

Degree: PhD, Computer Science, 2017, University of Texas – Austin

 Probabilistically modeling noisy data is a crucial step in virtually all scientific experiments and engineering pipelines. Recent years have seen the rise of several high-throughput… (more)

Subjects/Keywords: Smoothing; Algorithms; False discovery rate; Spatial smoothing; Total variation; Trend filtering

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

APA (6th Edition):

-5294-4228. (2017). Scalable smoothing algorithms for massive graph-structured data. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61823

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

Chicago Manual of Style (16th Edition):

-5294-4228. “Scalable smoothing algorithms for massive graph-structured data.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed September 27, 2020. http://hdl.handle.net/2152/61823.

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

MLA Handbook (7th Edition):

-5294-4228. “Scalable smoothing algorithms for massive graph-structured data.” 2017. Web. 27 Sep 2020.

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

Vancouver:

-5294-4228. Scalable smoothing algorithms for massive graph-structured data. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/2152/61823.

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

Council of Science Editors:

-5294-4228. Scalable smoothing algorithms for massive graph-structured data. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61823

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

7. Martin, Stephen Fredrick. Applying Classification and Regression Trees to manage financial risk.

Degree: MSin Statistics, Statistics, 2012, University of Texas – Austin

 This goal of this project is to develop a set of business rules to mitigate risk related to a specific financial decision within the prepaid… (more)

Subjects/Keywords: CART; Classification and Regression Trees; Breiman; Risk; Prepaid; Debit cards; Rollback; R; RPART; Cross validation

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

APA (6th Edition):

Martin, S. F. (2012). Applying Classification and Regression Trees to manage financial risk. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-05-5428

Chicago Manual of Style (16th Edition):

Martin, Stephen Fredrick. “Applying Classification and Regression Trees to manage financial risk.” 2012. Masters Thesis, University of Texas – Austin. Accessed September 27, 2020. http://hdl.handle.net/2152/ETD-UT-2012-05-5428.

MLA Handbook (7th Edition):

Martin, Stephen Fredrick. “Applying Classification and Regression Trees to manage financial risk.” 2012. Web. 27 Sep 2020.

Vancouver:

Martin SF. Applying Classification and Regression Trees to manage financial risk. [Internet] [Masters thesis]. University of Texas – Austin; 2012. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5428.

Council of Science Editors:

Martin SF. Applying Classification and Regression Trees to manage financial risk. [Masters Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5428

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