Advanced search options

Sorted by: relevance · author · university · date | New search

You searched for `subject:(Model selection)`

.
Showing records 1 – 30 of
718 total matches.

◁ [1] [2] [3] [4] [5] … [24] ▶

Search Limiters

Dates

- 2016 – 2020 (216)
- 2011 – 2015 (318)
- 2006 – 2010 (157)
- 2001 – 2005 (39)

Universities

- Texas A&M University (26)
- Virginia Tech (22)
- University of São Paulo (18)
- Georgia Tech (17)
- National University of Singapore (17)
- Penn State University (16)
- Brno University of Technology (15)
- The Ohio State University (15)
- University of Illinois – Urbana-Champaign (13)
- University of Iowa (13)
- University of Michigan (11)
- University of Manchester (10)
- University of Minnesota (10)

Department

- Statistics (54)
- Biostatistics (18)
- Electrical and Computer Engineering (12)
- Mathématiques (12)
- Psychology (11)

Degrees

- PhD (238)
- Docteur es (57)
- MS (45)
- Mestrado (11)

Languages

- English (413)
- French (44)
- Portuguese (35)
- Czech (14)

Country

- US (314)
- Canada (62)
- France (57)
- Australia (38)
- Brazil (32)
- UK (31)
- Sweden (28)
- Singapore (17)
- Czech Republic (15)
- Japan (15)
- South Africa (14)
- Greece (11)
- Netherlands (11)
- Portugal (10)

▼ Search Limiters

Texas A&M University

1.
Long, Wei.
Econometrics *Model* *Selection*: Theory and Applications.

Degree: 2015, Texas A&M University

URL: http://hdl.handle.net/1969.1/155406

► This dissertation contains two essays which examine the theory of *model* *selection* in econometrics and its applications. In the first essay, we utilize a *model*…
(more)

Subjects/Keywords: Model selection

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Long, W. (2015). Econometrics Model Selection: Theory and Applications. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155406

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Long, Wei. “Econometrics Model Selection: Theory and Applications.” 2015. Thesis, Texas A&M University. Accessed February 20, 2020. http://hdl.handle.net/1969.1/155406.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Long, Wei. “Econometrics Model Selection: Theory and Applications.” 2015. Web. 20 Feb 2020.

Vancouver:

Long W. Econometrics Model Selection: Theory and Applications. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1969.1/155406.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Long W. Econometrics Model Selection: Theory and Applications. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155406

Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

2.
Shi, Peibei.
Weak signal identification and inference in penalized *model* * selection*.

Degree: PhD, Statistics, 2015, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/88025

► Weak signal identification and inference are very important in the area of penalized *model* *selection*, yet they are under-developed and not well-studied. Existing inference procedures…
(more)

Subjects/Keywords: model selection; weak signal; inference

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Shi, P. (2015). Weak signal identification and inference in penalized model selection. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88025

Chicago Manual of Style (16^{th} Edition):

Shi, Peibei. “Weak signal identification and inference in penalized model selection.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 20, 2020. http://hdl.handle.net/2142/88025.

MLA Handbook (7^{th} Edition):

Shi, Peibei. “Weak signal identification and inference in penalized model selection.” 2015. Web. 20 Feb 2020.

Vancouver:

Shi P. Weak signal identification and inference in penalized model selection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/2142/88025.

Council of Science Editors:

Shi P. Weak signal identification and inference in penalized model selection. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88025

North Carolina State University

3. Liu, Zhengzhong. A Rapid Assessment Tool for Determining Uniformity if Irrigation Type Manure Application Systems.

Degree: MS, Biological and Agricultural Engineering, 2009, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/1371

► Zhengzhong Liu. A Rapid Assessment Tool for Determining Uniformity of Irrigation-Type Manure Application Systems. (Under the direction of Dr. Garry Grabow) Due to the extent…
(more)

Subjects/Keywords: model selection; manure; uniformity

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Liu, Z. (2009). A Rapid Assessment Tool for Determining Uniformity if Irrigation Type Manure Application Systems. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/1371

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Liu, Zhengzhong. “A Rapid Assessment Tool for Determining Uniformity if Irrigation Type Manure Application Systems.” 2009. Thesis, North Carolina State University. Accessed February 20, 2020. http://www.lib.ncsu.edu/resolver/1840.16/1371.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Liu, Zhengzhong. “A Rapid Assessment Tool for Determining Uniformity if Irrigation Type Manure Application Systems.” 2009. Web. 20 Feb 2020.

Vancouver:

Liu Z. A Rapid Assessment Tool for Determining Uniformity if Irrigation Type Manure Application Systems. [Internet] [Thesis]. North Carolina State University; 2009. [cited 2020 Feb 20]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1371.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu Z. A Rapid Assessment Tool for Determining Uniformity if Irrigation Type Manure Application Systems. [Thesis]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1371

Not specified: Masters Thesis or Doctoral Dissertation

4.
Allen, James.
Using phylogenetics and *model* *selection* to investigate
the evolution of RNA genes in genomic alignments.

Degree: 2013, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:215516

► The diversity and range of the biological functions of non-coding RNA molecules (ncRNA) have only recently been realised, and phylogenetic analysis of the RNA genes…
(more)

Subjects/Keywords: ncRNA; PHASE software; model selection

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Allen, J. (2013). Using phylogenetics and model selection to investigate the evolution of RNA genes in genomic alignments. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:215516

Chicago Manual of Style (16^{th} Edition):

Allen, James. “Using phylogenetics and model selection to investigate the evolution of RNA genes in genomic alignments.” 2013. Doctoral Dissertation, University of Manchester. Accessed February 20, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:215516.

MLA Handbook (7^{th} Edition):

Allen, James. “Using phylogenetics and model selection to investigate the evolution of RNA genes in genomic alignments.” 2013. Web. 20 Feb 2020.

Vancouver:

Allen J. Using phylogenetics and model selection to investigate the evolution of RNA genes in genomic alignments. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2020 Feb 20]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:215516.

Council of Science Editors:

Allen J. Using phylogenetics and model selection to investigate the evolution of RNA genes in genomic alignments. [Doctoral Dissertation]. University of Manchester; 2013. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:215516

University of Kansas

5. Yang, Lei. Parametric and Non-Parametric Models in Health Research: Analysis and Design.

Degree: PhD, Biostatistics, 2016, University of Kansas

URL: http://hdl.handle.net/1808/24821

► Personalized medicine is emerging in both clinical practice and clinical trials. “Precision” medicine not only promises improved safety and efficacy but also lowered cost in…
(more)

Subjects/Keywords: Biostatistics; Bayesian; CART; Model selection

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Yang, L. (2016). Parametric and Non-Parametric Models in Health Research: Analysis and Design. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/24821

Chicago Manual of Style (16^{th} Edition):

Yang, Lei. “Parametric and Non-Parametric Models in Health Research: Analysis and Design.” 2016. Doctoral Dissertation, University of Kansas. Accessed February 20, 2020. http://hdl.handle.net/1808/24821.

MLA Handbook (7^{th} Edition):

Yang, Lei. “Parametric and Non-Parametric Models in Health Research: Analysis and Design.” 2016. Web. 20 Feb 2020.

Vancouver:

Yang L. Parametric and Non-Parametric Models in Health Research: Analysis and Design. [Internet] [Doctoral dissertation]. University of Kansas; 2016. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1808/24821.

Council of Science Editors:

Yang L. Parametric and Non-Parametric Models in Health Research: Analysis and Design. [Doctoral Dissertation]. University of Kansas; 2016. Available from: http://hdl.handle.net/1808/24821

Texas A&M University

6.
Preciado Arreola, Jose Luis.
Functional Estimator *Selection* Techniques for Production Functions and Frontiers.

Degree: PhD, Industrial Engineering, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/174230

► This dissertation provides frameworks to select production function estimators in both the state-contingent and the general monotonic and concave cases. It first presents a Birth-Death…
(more)

Subjects/Keywords: model selection; Stochastic Frontier Analysis

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Preciado Arreola, J. L. (2016). Functional Estimator Selection Techniques for Production Functions and Frontiers. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174230

Chicago Manual of Style (16^{th} Edition):

Preciado Arreola, Jose Luis. “Functional Estimator Selection Techniques for Production Functions and Frontiers.” 2016. Doctoral Dissertation, Texas A&M University. Accessed February 20, 2020. http://hdl.handle.net/1969.1/174230.

MLA Handbook (7^{th} Edition):

Preciado Arreola, Jose Luis. “Functional Estimator Selection Techniques for Production Functions and Frontiers.” 2016. Web. 20 Feb 2020.

Vancouver:

Preciado Arreola JL. Functional Estimator Selection Techniques for Production Functions and Frontiers. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1969.1/174230.

Council of Science Editors:

Preciado Arreola JL. Functional Estimator Selection Techniques for Production Functions and Frontiers. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174230

University of Minnesota

7. Wei, Xiaoqiao. Robust combinations of statistical procedures.

Degree: PhD, Statistics, 2010, University of Minnesota

URL: http://purl.umn.edu/101344

► Alternative to *model* *selection*, *model* combination gives a combined result from the individual candidate models to share their strengths. Yang (2001, 2004) proposed square-loss-based combining…
(more)

Subjects/Keywords: Model combination; Model selection; Robust combinations; Statistics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Wei, X. (2010). Robust combinations of statistical procedures. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/101344

Chicago Manual of Style (16^{th} Edition):

Wei, Xiaoqiao. “Robust combinations of statistical procedures.” 2010. Doctoral Dissertation, University of Minnesota. Accessed February 20, 2020. http://purl.umn.edu/101344.

MLA Handbook (7^{th} Edition):

Wei, Xiaoqiao. “Robust combinations of statistical procedures.” 2010. Web. 20 Feb 2020.

Vancouver:

Wei X. Robust combinations of statistical procedures. [Internet] [Doctoral dissertation]. University of Minnesota; 2010. [cited 2020 Feb 20]. Available from: http://purl.umn.edu/101344.

Council of Science Editors:

Wei X. Robust combinations of statistical procedures. [Doctoral Dissertation]. University of Minnesota; 2010. Available from: http://purl.umn.edu/101344

University of Rochester

8. LaCombe, Jason R. Non-Informative Priors for Structural Inference in Bayesian Networks.

Degree: PhD, 2011, University of Rochester

URL: http://hdl.handle.net/1802/15981

► A fundamental problem in multivariate statistics is the determination of dependency relationships among random variables. Bayesian networks equate the dependency properties of the considered variables…
(more)

Subjects/Keywords: Bayesian-Networks; Model-Selection; Prior Graphical Model

Record Details Similar Records

❌

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

APA (6^{th} Edition):

LaCombe, J. R. (2011). Non-Informative Priors for Structural Inference in Bayesian Networks. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/15981

Chicago Manual of Style (16^{th} Edition):

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Doctoral Dissertation, University of Rochester. Accessed February 20, 2020. http://hdl.handle.net/1802/15981.

MLA Handbook (7^{th} Edition):

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Web. 20 Feb 2020.

Vancouver:

LaCombe JR. Non-Informative Priors for Structural Inference in Bayesian Networks. [Internet] [Doctoral dissertation]. University of Rochester; 2011. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1802/15981.

Council of Science Editors:

LaCombe JR. Non-Informative Priors for Structural Inference in Bayesian Networks. [Doctoral Dissertation]. University of Rochester; 2011. Available from: http://hdl.handle.net/1802/15981

University of Guelph

9.
O'Reilly, Rachel.
Cross-Validation for *Model* *Selection* in *Model*-Based Clustering
.

Degree: 2012, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3911

► Clustering is a technique used to partition unlabelled data into meaningful groups. This thesis will focus on the area of clustering called *model*-based clustering, where…
(more)

Subjects/Keywords: model-based clustering; model selection; cross-validation

Record Details Similar Records

❌

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

APA (6^{th} Edition):

O'Reilly, R. (2012). Cross-Validation for Model Selection in Model-Based Clustering . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3911

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

O'Reilly, Rachel. “Cross-Validation for Model Selection in Model-Based Clustering .” 2012. Thesis, University of Guelph. Accessed February 20, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3911.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

O'Reilly, Rachel. “Cross-Validation for Model Selection in Model-Based Clustering .” 2012. Web. 20 Feb 2020.

Vancouver:

O'Reilly R. Cross-Validation for Model Selection in Model-Based Clustering . [Internet] [Thesis]. University of Guelph; 2012. [cited 2020 Feb 20]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3911.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

O'Reilly R. Cross-Validation for Model Selection in Model-Based Clustering . [Thesis]. University of Guelph; 2012. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3911

Not specified: Masters Thesis or Doctoral Dissertation

Georgia State University

10.
Syed, Ali R.
A Review of Cross Validation and Adaptive *Model* * Selection*.

Degree: MS, Mathematics and Statistics, 2011, Georgia State University

URL: https://scholarworks.gsu.edu/math_theses/99

We perform a review of model selection procedures, in particular various cross validation procedures and adaptive model selection. We cover important results for these procedures and explore the connections between different procedures and information criteria.
*Advisors/Committee Members: Yixin Fang, Yichuan Zhao, Jiawei Liu.*

Subjects/Keywords: Cross validation; Model selection; Adaptive model selection; Mathematics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Syed, A. R. (2011). A Review of Cross Validation and Adaptive Model Selection. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/99

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Syed, Ali R. “A Review of Cross Validation and Adaptive Model Selection.” 2011. Thesis, Georgia State University. Accessed February 20, 2020. https://scholarworks.gsu.edu/math_theses/99.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Syed, Ali R. “A Review of Cross Validation and Adaptive Model Selection.” 2011. Web. 20 Feb 2020.

Vancouver:

Syed AR. A Review of Cross Validation and Adaptive Model Selection. [Internet] [Thesis]. Georgia State University; 2011. [cited 2020 Feb 20]. Available from: https://scholarworks.gsu.edu/math_theses/99.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Syed AR. A Review of Cross Validation and Adaptive Model Selection. [Thesis]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_theses/99

Not specified: Masters Thesis or Doctoral Dissertation

Bowling Green State University

11.
Yousef, Mohammed A.
Two-Stage SCAD Lasso for Linear Mixed *Model*
* Selection*.

Degree: PhD, Statistics, 2019, Bowling Green State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879

► Linear regression *model* is the classical approach to explain the relationship between the response variable (dependent) and predictors (independent). However, when the number of predictors…
(more)

Subjects/Keywords: Statistics; Mixed model selection; SCAD Lasso; Linear mixed model; Penalized model selection; two-stage model selection

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Yousef, M. A. (2019). Two-Stage SCAD Lasso for Linear Mixed Model Selection. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879

Chicago Manual of Style (16^{th} Edition):

Yousef, Mohammed A. “Two-Stage SCAD Lasso for Linear Mixed Model Selection.” 2019. Doctoral Dissertation, Bowling Green State University. Accessed February 20, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879.

MLA Handbook (7^{th} Edition):

Yousef, Mohammed A. “Two-Stage SCAD Lasso for Linear Mixed Model Selection.” 2019. Web. 20 Feb 2020.

Vancouver:

Yousef MA. Two-Stage SCAD Lasso for Linear Mixed Model Selection. [Internet] [Doctoral dissertation]. Bowling Green State University; 2019. [cited 2020 Feb 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879.

Council of Science Editors:

Yousef MA. Two-Stage SCAD Lasso for Linear Mixed Model Selection. [Doctoral Dissertation]. Bowling Green State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879

University of South Carolina

12.
Ospina Idarraga, Gustavo Andres.
Modal Updating Cognitive Systems: Behavioral * Selection*.

Degree: PhD, Civil and Environmental Engineering, 2013, University of South Carolina

URL: https://scholarcommons.sc.edu/etd/2513

► Numerical modeling has been a very effective tool for the simulation of structural systems. Modeling helps engineers and designers to make important predictions about…
(more)

Subjects/Keywords: Analyst Expertise; Behavioral Selection; Model Performance; Model Selection; Model Updating; Multiple Solutions

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Ospina Idarraga, G. A. (2013). Modal Updating Cognitive Systems: Behavioral Selection. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/2513

Chicago Manual of Style (16^{th} Edition):

Ospina Idarraga, Gustavo Andres. “Modal Updating Cognitive Systems: Behavioral Selection.” 2013. Doctoral Dissertation, University of South Carolina. Accessed February 20, 2020. https://scholarcommons.sc.edu/etd/2513.

MLA Handbook (7^{th} Edition):

Ospina Idarraga, Gustavo Andres. “Modal Updating Cognitive Systems: Behavioral Selection.” 2013. Web. 20 Feb 2020.

Vancouver:

Ospina Idarraga GA. Modal Updating Cognitive Systems: Behavioral Selection. [Internet] [Doctoral dissertation]. University of South Carolina; 2013. [cited 2020 Feb 20]. Available from: https://scholarcommons.sc.edu/etd/2513.

Council of Science Editors:

Ospina Idarraga GA. Modal Updating Cognitive Systems: Behavioral Selection. [Doctoral Dissertation]. University of South Carolina; 2013. Available from: https://scholarcommons.sc.edu/etd/2513

Vanderbilt University

13. Mullins, Joshua Grady. Resource Allocation for Uncertainty Quantification and Reduction.

Degree: PhD, Civil Engineering, 2014, Vanderbilt University

URL: http://etd.library.vanderbilt.edu/available/etd-08222014-163854/ ;

► This dissertation explores resource allocation methods for quantification and reduction of prediction uncertainty from computational models, in order to enable risk assessment and decision-making in…
(more)

Subjects/Keywords: resource allocation; model calibration; model validation; model selection; test selection; uncertainty quantification

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Mullins, J. G. (2014). Resource Allocation for Uncertainty Quantification and Reduction. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-08222014-163854/ ;

Chicago Manual of Style (16^{th} Edition):

Mullins, Joshua Grady. “Resource Allocation for Uncertainty Quantification and Reduction.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed February 20, 2020. http://etd.library.vanderbilt.edu/available/etd-08222014-163854/ ;.

MLA Handbook (7^{th} Edition):

Mullins, Joshua Grady. “Resource Allocation for Uncertainty Quantification and Reduction.” 2014. Web. 20 Feb 2020.

Vancouver:

Mullins JG. Resource Allocation for Uncertainty Quantification and Reduction. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2020 Feb 20]. Available from: http://etd.library.vanderbilt.edu/available/etd-08222014-163854/ ;.

Council of Science Editors:

Mullins JG. Resource Allocation for Uncertainty Quantification and Reduction. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://etd.library.vanderbilt.edu/available/etd-08222014-163854/ ;

14.
Farrell, Kathryn Anne.
* Selection*, calibration, and validation of coarse-grained models of atomistic systems.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2015, University of Texas – Austin

URL: http://hdl.handle.net/2152/30528

► This dissertation examines the development of coarse-grained models of atomistic systems for the purpose of predicting target quantities of interest in the presence of uncertainties.…
(more)

Subjects/Keywords: Coarse graining; Bayesian inference; Sensitivity; Model plausibility; Model validation; Model selection

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Farrell, K. A. (2015). Selection, calibration, and validation of coarse-grained models of atomistic systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/30528

Chicago Manual of Style (16^{th} Edition):

Farrell, Kathryn Anne. “Selection, calibration, and validation of coarse-grained models of atomistic systems.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed February 20, 2020. http://hdl.handle.net/2152/30528.

MLA Handbook (7^{th} Edition):

Farrell, Kathryn Anne. “Selection, calibration, and validation of coarse-grained models of atomistic systems.” 2015. Web. 20 Feb 2020.

Vancouver:

Farrell KA. Selection, calibration, and validation of coarse-grained models of atomistic systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/2152/30528.

Council of Science Editors:

Farrell KA. Selection, calibration, and validation of coarse-grained models of atomistic systems. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/30528

North-West University

15. MacLennan, Jacyntha. The identification of South African export opportunities : special reference of fruit juice to Oman and Qatar / J. MacLennan .

Degree: 2010, North-West University

URL: http://hdl.handle.net/10394/5037

► As part of the Accelerated Shared Growth Initiative of South Africa (AsgiSA), the South African government is focusing on improving the country's export performance (Department…
(more)

Subjects/Keywords: Decision support model; Export potential; Market selection; Middle East – Product selection; Product selection

Record Details Similar Records

❌

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

APA (6^{th} Edition):

MacLennan, J. (2010). The identification of South African export opportunities : special reference of fruit juice to Oman and Qatar / J. MacLennan . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/5037

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

MacLennan, Jacyntha. “The identification of South African export opportunities : special reference of fruit juice to Oman and Qatar / J. MacLennan .” 2010. Thesis, North-West University. Accessed February 20, 2020. http://hdl.handle.net/10394/5037.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

MacLennan, Jacyntha. “The identification of South African export opportunities : special reference of fruit juice to Oman and Qatar / J. MacLennan .” 2010. Web. 20 Feb 2020.

Vancouver:

MacLennan J. The identification of South African export opportunities : special reference of fruit juice to Oman and Qatar / J. MacLennan . [Internet] [Thesis]. North-West University; 2010. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/10394/5037.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

MacLennan J. The identification of South African export opportunities : special reference of fruit juice to Oman and Qatar / J. MacLennan . [Thesis]. North-West University; 2010. Available from: http://hdl.handle.net/10394/5037

Not specified: Masters Thesis or Doctoral Dissertation

Brunel University

16.
Al-Hamzawi, Rahim Jabbar Thaher.
Prior elicitation and variable *selection* for bayesian quantile regression.

Degree: PhD, 2013, Brunel University

URL: http://bura.brunel.ac.uk/handle/2438/7501 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573611

► Bayesian subset *selection* suffers from three important difficulties: assigning priors over *model* space, assigning priors to all components of the regression coefficients vector given a…
(more)

Subjects/Keywords: 519.5; Gibbs sampler; Conditional distribution; Model selection

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Al-Hamzawi, R. J. T. (2013). Prior elicitation and variable selection for bayesian quantile regression. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7501 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573611

Chicago Manual of Style (16^{th} Edition):

Al-Hamzawi, Rahim Jabbar Thaher. “Prior elicitation and variable selection for bayesian quantile regression.” 2013. Doctoral Dissertation, Brunel University. Accessed February 20, 2020. http://bura.brunel.ac.uk/handle/2438/7501 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573611.

MLA Handbook (7^{th} Edition):

Al-Hamzawi, Rahim Jabbar Thaher. “Prior elicitation and variable selection for bayesian quantile regression.” 2013. Web. 20 Feb 2020.

Vancouver:

Al-Hamzawi RJT. Prior elicitation and variable selection for bayesian quantile regression. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2020 Feb 20]. Available from: http://bura.brunel.ac.uk/handle/2438/7501 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573611.

Council of Science Editors:

Al-Hamzawi RJT. Prior elicitation and variable selection for bayesian quantile regression. [Doctoral Dissertation]. Brunel University; 2013. Available from: http://bura.brunel.ac.uk/handle/2438/7501 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573611

Texas A&M University

17.
, Deepti.
Application of a spatially referenced water quality *model* to predict E. coli flux in two Texas river basins.

Degree: 2009, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2878

► Water quality models are applied to assess the various processes affecting the concentrations of contaminants in a watershed. SPAtially Referenced Regression On Watershed attributes (SPARROW)…
(more)

Subjects/Keywords: SPARROW; water quality; model selection; genetic algorithm

Record Details Similar Records

❌

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

APA (6^{th} Edition):

, Deepti. (2009). Application of a spatially referenced water quality model to predict E. coli flux in two Texas river basins. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2878

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 (16^{th} Edition):

, Deepti. “Application of a spatially referenced water quality model to predict E. coli flux in two Texas river basins.” 2009. Thesis, Texas A&M University. Accessed February 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2878.

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 (7^{th} Edition):

, Deepti. “Application of a spatially referenced water quality model to predict E. coli flux in two Texas river basins.” 2009. Web. 20 Feb 2020.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Vancouver:

, Deepti. Application of a spatially referenced water quality model to predict E. coli flux in two Texas river basins. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2878.

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:

, Deepti. Application of a spatially referenced water quality model to predict E. coli flux in two Texas river basins. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2878

Author name may be incomplete

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

18.
Mendez Pinero, Mayra I.
Decision Support System (DSS) for Machine *Selection*: A Cost Minimization * Model*.

Degree: 2010, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-645

► Within any manufacturing environment, the *selection* of the production or assembly machines is part of the day to day responsibilities of management. This is especially…
(more)

Subjects/Keywords: Cost model; Machine selection; Machine workload balance

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Mendez Pinero, M. I. (2010). Decision Support System (DSS) for Machine Selection: A Cost Minimization Model. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-645

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Mendez Pinero, Mayra I. “Decision Support System (DSS) for Machine Selection: A Cost Minimization Model.” 2010. Thesis, Texas A&M University. Accessed February 20, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-645.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mendez Pinero, Mayra I. “Decision Support System (DSS) for Machine Selection: A Cost Minimization Model.” 2010. Web. 20 Feb 2020.

Vancouver:

Mendez Pinero MI. Decision Support System (DSS) for Machine Selection: A Cost Minimization Model. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-645.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mendez Pinero MI. Decision Support System (DSS) for Machine Selection: A Cost Minimization Model. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-645

Not specified: Masters Thesis or Doctoral Dissertation

University of Manchester

19.
Allen, James.
Using phylogenetics and *model* *selection* to investigate the evolution of RNA genes in genomic alignments.

Degree: PhD, 2013, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/using-phylogenetics-and-model-selection-to-investigate-the-evolution-of-rna-genes-in-genomic-alignments(3bd15b02-d375-40e9-b04a-c3befb8cc691).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603116

► The diversity and range of the biological functions of non-coding RNA molecules (ncRNA) have only recently been realised, and phylogenetic analysis of the RNA genes…
(more)

Subjects/Keywords: 572.8; ncRNA; PHASE software; model selection

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Allen, J. (2013). Using phylogenetics and model selection to investigate the evolution of RNA genes in genomic alignments. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/using-phylogenetics-and-model-selection-to-investigate-the-evolution-of-rna-genes-in-genomic-alignments(3bd15b02-d375-40e9-b04a-c3befb8cc691).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603116

Chicago Manual of Style (16^{th} Edition):

Allen, James. “Using phylogenetics and model selection to investigate the evolution of RNA genes in genomic alignments.” 2013. Doctoral Dissertation, University of Manchester. Accessed February 20, 2020. https://www.research.manchester.ac.uk/portal/en/theses/using-phylogenetics-and-model-selection-to-investigate-the-evolution-of-rna-genes-in-genomic-alignments(3bd15b02-d375-40e9-b04a-c3befb8cc691).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603116.

MLA Handbook (7^{th} Edition):

Allen, James. “Using phylogenetics and model selection to investigate the evolution of RNA genes in genomic alignments.” 2013. Web. 20 Feb 2020.

Vancouver:

Allen J. Using phylogenetics and model selection to investigate the evolution of RNA genes in genomic alignments. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2020 Feb 20]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/using-phylogenetics-and-model-selection-to-investigate-the-evolution-of-rna-genes-in-genomic-alignments(3bd15b02-d375-40e9-b04a-c3befb8cc691).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603116.

Council of Science Editors:

Allen J. Using phylogenetics and model selection to investigate the evolution of RNA genes in genomic alignments. [Doctoral Dissertation]. University of Manchester; 2013. Available from: https://www.research.manchester.ac.uk/portal/en/theses/using-phylogenetics-and-model-selection-to-investigate-the-evolution-of-rna-genes-in-genomic-alignments(3bd15b02-d375-40e9-b04a-c3befb8cc691).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603116

University of Saskatchewan

20. Dong, Yue. A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models.

Degree: 2016, University of Saskatchewan

URL: http://hdl.handle.net/10388/7313

► When modelling count data, it is possible to have excessive zeros in the data in many applications. My thesis concentrates on the variable *selection* in…
(more)

Subjects/Keywords: Variable selection; Zero-inflated model; Bayesian LASSO

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Dong, Y. (2016). A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/7313

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Dong, Yue. “A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models.” 2016. Thesis, University of Saskatchewan. Accessed February 20, 2020. http://hdl.handle.net/10388/7313.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dong, Yue. “A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models.” 2016. Web. 20 Feb 2020.

Vancouver:

Dong Y. A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/10388/7313.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dong Y. A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models. [Thesis]. University of Saskatchewan; 2016. Available from: http://hdl.handle.net/10388/7313

Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

21.
Ahfock, Daniel Christian.
New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and *model* * selection*.

Degree: PhD, 2019, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/291805

► This thesis is focused on the development of computationally efficient procedures for regression modelling with datasets containing a large number of observations. Standard algorithms be…
(more)

Subjects/Keywords: Bayesian model selection; Random projection; Big Data

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Ahfock, D. C. (2019). New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/291805

Chicago Manual of Style (16^{th} Edition):

Ahfock, Daniel Christian. “New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection.” 2019. Doctoral Dissertation, University of Cambridge. Accessed February 20, 2020. https://www.repository.cam.ac.uk/handle/1810/291805.

MLA Handbook (7^{th} Edition):

Ahfock, Daniel Christian. “New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection.” 2019. Web. 20 Feb 2020.

Vancouver:

Ahfock DC. New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Feb 20]. Available from: https://www.repository.cam.ac.uk/handle/1810/291805.

Council of Science Editors:

Ahfock DC. New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/291805

22. Foster, William Kyle. Effective Dose Gradients in Lung Radiotherapy: Setting Target Margins and Monitoring Dose Deviations for Image-Guided Adaptive Strategies.

Degree: 2016, University of Waterloo

URL: http://hdl.handle.net/10012/10416

► Organ motion is a major source of geometric uncertainty in the delivery of external beam radiation therapy. Organ motion that occurs during the delivery of…
(more)

Subjects/Keywords: Medical Physics; Margin Selection; Convolution Model

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Foster, W. K. (2016). Effective Dose Gradients in Lung Radiotherapy: Setting Target Margins and Monitoring Dose Deviations for Image-Guided Adaptive Strategies. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10416

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Foster, William Kyle. “Effective Dose Gradients in Lung Radiotherapy: Setting Target Margins and Monitoring Dose Deviations for Image-Guided Adaptive Strategies.” 2016. Thesis, University of Waterloo. Accessed February 20, 2020. http://hdl.handle.net/10012/10416.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Foster, William Kyle. “Effective Dose Gradients in Lung Radiotherapy: Setting Target Margins and Monitoring Dose Deviations for Image-Guided Adaptive Strategies.” 2016. Web. 20 Feb 2020.

Vancouver:

Foster WK. Effective Dose Gradients in Lung Radiotherapy: Setting Target Margins and Monitoring Dose Deviations for Image-Guided Adaptive Strategies. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/10012/10416.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Foster WK. Effective Dose Gradients in Lung Radiotherapy: Setting Target Margins and Monitoring Dose Deviations for Image-Guided Adaptive Strategies. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10416

Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

23.
Seneviratne, Seneviratne.
l0 Sparse signal processing and *model* *selection* with applications.

Degree: Electrical Engineering & Telecommunications, 2012, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/52431 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11104/SOURCE01?view=true

► Sparse signal processing has far-reaching applications including compressed sensing, media compression/denoising/deblurring, microarray analysis and medical imaging. The main reason for its popularity is that many…
(more)

Subjects/Keywords: l0 Norm; Sparse Signal Processing; Model Selection

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Seneviratne, S. (2012). l0 Sparse signal processing and model selection with applications. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52431 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11104/SOURCE01?view=true

Chicago Manual of Style (16^{th} Edition):

Seneviratne, Seneviratne. “l0 Sparse signal processing and model selection with applications.” 2012. Doctoral Dissertation, University of New South Wales. Accessed February 20, 2020. http://handle.unsw.edu.au/1959.4/52431 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11104/SOURCE01?view=true.

MLA Handbook (7^{th} Edition):

Seneviratne, Seneviratne. “l0 Sparse signal processing and model selection with applications.” 2012. Web. 20 Feb 2020.

Vancouver:

Seneviratne S. l0 Sparse signal processing and model selection with applications. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2020 Feb 20]. Available from: http://handle.unsw.edu.au/1959.4/52431 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11104/SOURCE01?view=true.

Council of Science Editors:

Seneviratne S. l0 Sparse signal processing and model selection with applications. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52431 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11104/SOURCE01?view=true

University of Waterloo

24.
McCrosky, Jesse.
A New Measure For Clustering *Model* * Selection*.

Degree: 2008, University of Waterloo

URL: http://hdl.handle.net/10012/3697

A new method for determining the number of k-means clusters in a given data set is presented. The algorithm is developed from a theoretical perspective and then its implementation is examined and compared to existing solutions.

Subjects/Keywords: Clustering; Model Selection

Record Details Similar Records

❌

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

APA (6^{th} Edition):

McCrosky, J. (2008). A New Measure For Clustering Model Selection. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/3697

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

McCrosky, Jesse. “A New Measure For Clustering Model Selection.” 2008. Thesis, University of Waterloo. Accessed February 20, 2020. http://hdl.handle.net/10012/3697.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

McCrosky, Jesse. “A New Measure For Clustering Model Selection.” 2008. Web. 20 Feb 2020.

Vancouver:

McCrosky J. A New Measure For Clustering Model Selection. [Internet] [Thesis]. University of Waterloo; 2008. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/10012/3697.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McCrosky J. A New Measure For Clustering Model Selection. [Thesis]. University of Waterloo; 2008. Available from: http://hdl.handle.net/10012/3697

Not specified: Masters Thesis or Doctoral Dissertation

University of Guelph

25. Cairns, Alexander Philip. The Growth Potential of the 'Next-11': The Importance of Emerging Markets for Canadian Agrifood Trade .

Degree: 2011, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3030

► The capacity of Canada’s export-oriented agrifood sectors to cope with contemporary challenges may hinge on their ability to identify new export markets. This thesis uses…
(more)

Subjects/Keywords: Next-11; Agrifood trade; Heckman Selection Model

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Cairns, A. P. (2011). The Growth Potential of the 'Next-11': The Importance of Emerging Markets for Canadian Agrifood Trade . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3030

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Cairns, Alexander Philip. “The Growth Potential of the 'Next-11': The Importance of Emerging Markets for Canadian Agrifood Trade .” 2011. Thesis, University of Guelph. Accessed February 20, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3030.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Cairns, Alexander Philip. “The Growth Potential of the 'Next-11': The Importance of Emerging Markets for Canadian Agrifood Trade .” 2011. Web. 20 Feb 2020.

Vancouver:

Cairns AP. The Growth Potential of the 'Next-11': The Importance of Emerging Markets for Canadian Agrifood Trade . [Internet] [Thesis]. University of Guelph; 2011. [cited 2020 Feb 20]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3030.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cairns AP. The Growth Potential of the 'Next-11': The Importance of Emerging Markets for Canadian Agrifood Trade . [Thesis]. University of Guelph; 2011. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3030

Not specified: Masters Thesis or Doctoral Dissertation

University of Sydney

26.
Greenaway, Mark Jonathan.
Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear *Model* * Selection*
.

Degree: 2019, University of Sydney

URL: http://hdl.handle.net/2123/20233

► Approximate Bayesian inference methods offer methodology for fitting Bayesian models as fast alternatives to Markov Chain Monte Carlo methods that sometimes have only a slight…
(more)

Subjects/Keywords: variational approximations; model selection; computational statistics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Greenaway, M. J. (2019). Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/20233

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Greenaway, Mark Jonathan. “Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection .” 2019. Thesis, University of Sydney. Accessed February 20, 2020. http://hdl.handle.net/2123/20233.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Greenaway, Mark Jonathan. “Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection .” 2019. Web. 20 Feb 2020.

Vancouver:

Greenaway MJ. Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection . [Internet] [Thesis]. University of Sydney; 2019. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/2123/20233.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Greenaway MJ. Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection . [Thesis]. University of Sydney; 2019. Available from: http://hdl.handle.net/2123/20233

Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

27.
Metzger, Thomas Anthony.
Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian *Model* * Selection*.

Degree: PhD, Statistics, 2019, Virginia Tech

URL: http://hdl.handle.net/10919/93226

► Statistical models are a powerful tool for describing a broad range of phenomena in our world. However, many common statistical models may make assumptions that…
(more)

Subjects/Keywords: model selection; heteroscedasticity; linear models; Bayesian

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Metzger, T. A. (2019). Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian Model Selection. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93226

Chicago Manual of Style (16^{th} Edition):

Metzger, Thomas Anthony. “Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian Model Selection.” 2019. Doctoral Dissertation, Virginia Tech. Accessed February 20, 2020. http://hdl.handle.net/10919/93226.

MLA Handbook (7^{th} Edition):

Metzger, Thomas Anthony. “Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian Model Selection.” 2019. Web. 20 Feb 2020.

Vancouver:

Metzger TA. Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian Model Selection. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/10919/93226.

Council of Science Editors:

Metzger TA. Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian Model Selection. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93226

Uppsala University

28.
PENG, SISI.
Evaluating Automatic *Model* * Selection*.

Degree: Statistics, 2011, Uppsala University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154449

► In this paper, we briefly describe the automatic *model* *selection* which is provided by Autometrics in the PcGive program. The modeler only needs to…
(more)

Subjects/Keywords: Automatic Model Selection; Autometrics; Seasonal ARIMA; DHSY

Record Details Similar Records

❌

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

APA (6^{th} Edition):

PENG, S. (2011). Evaluating Automatic Model Selection. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154449

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

PENG, SISI. “Evaluating Automatic Model Selection.” 2011. Thesis, Uppsala University. Accessed February 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154449.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

PENG, SISI. “Evaluating Automatic Model Selection.” 2011. Web. 20 Feb 2020.

Vancouver:

PENG S. Evaluating Automatic Model Selection. [Internet] [Thesis]. Uppsala University; 2011. [cited 2020 Feb 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154449.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

PENG S. Evaluating Automatic Model Selection. [Thesis]. Uppsala University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154449

Not specified: Masters Thesis or Doctoral Dissertation

University of Iowa

29.
Ten Eyck, Patrick.
Problems in generalized linear *model* *selection* and predictive evaluation for binary outcomes.

Degree: PhD, Biostatistics, 2015, University of Iowa

URL: https://ir.uiowa.edu/etd/6003

► This manuscript consists of three papers which formulate novel generalized linear *model* methodologies. In Chapter 1, we introduce a variant of the traditional concordance…
(more)

Subjects/Keywords: Biostatistics; Generalized linear models; Model selection; Biostatistics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Ten Eyck, P. (2015). Problems in generalized linear model selection and predictive evaluation for binary outcomes. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/6003

Chicago Manual of Style (16^{th} Edition):

Ten Eyck, Patrick. “Problems in generalized linear model selection and predictive evaluation for binary outcomes.” 2015. Doctoral Dissertation, University of Iowa. Accessed February 20, 2020. https://ir.uiowa.edu/etd/6003.

MLA Handbook (7^{th} Edition):

Ten Eyck, Patrick. “Problems in generalized linear model selection and predictive evaluation for binary outcomes.” 2015. Web. 20 Feb 2020.

Vancouver:

Ten Eyck P. Problems in generalized linear model selection and predictive evaluation for binary outcomes. [Internet] [Doctoral dissertation]. University of Iowa; 2015. [cited 2020 Feb 20]. Available from: https://ir.uiowa.edu/etd/6003.

Council of Science Editors:

Ten Eyck P. Problems in generalized linear model selection and predictive evaluation for binary outcomes. [Doctoral Dissertation]. University of Iowa; 2015. Available from: https://ir.uiowa.edu/etd/6003

University of Washington

30.
Cumberland, William Nathaniel.
* Model* Choice Considerations for Fitting Concentration-response Curves.

Degree: 2013, University of Washington

URL: http://hdl.handle.net/1773/21890

► Many bioassays use inverse prediction, sometimes referred to as calibration, in order to estimate an unknown concentration from a machine response, using a training set.…
(more)

Subjects/Keywords: Calibration; Dose Response; Model Selection; Biostatistics; Biostatistics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Cumberland, W. N. (2013). Model Choice Considerations for Fitting Concentration-response Curves. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/21890

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Cumberland, William Nathaniel. “Model Choice Considerations for Fitting Concentration-response Curves.” 2013. Thesis, University of Washington. Accessed February 20, 2020. http://hdl.handle.net/1773/21890.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Cumberland, William Nathaniel. “Model Choice Considerations for Fitting Concentration-response Curves.” 2013. Web. 20 Feb 2020.

Vancouver:

Cumberland WN. Model Choice Considerations for Fitting Concentration-response Curves. [Internet] [Thesis]. University of Washington; 2013. [cited 2020 Feb 20]. Available from: http://hdl.handle.net/1773/21890.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cumberland WN. Model Choice Considerations for Fitting Concentration-response Curves. [Thesis]. University of Washington; 2013. Available from: http://hdl.handle.net/1773/21890

Not specified: Masters Thesis or Doctoral Dissertation