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- 2001 – 2005 (19)
- 1996 – 2000 (12)

Universities

- University of Florida (34)
- Texas A&M University (15)
- Penn State University (12)

Department

- Statistics (21)
- Mathématiques appliquées (10)

Degrees

- PhD (84)
- MS (35)
- Docteur es (30)

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Penn State University

1.
Vernon, Julia Anne.
FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC *DENSITY* * ESTIMATION*.

Degree: 2017, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/13748jav232

► The use of passive acoustic monitoring in population *density* *estimation* of marine mammals is a developing capability, providing an efficient and cost-effective alternative to visual…
(more)

Subjects/Keywords: density estimation; fin whales

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

APA (6^{th} Edition):

Vernon, J. A. (2017). FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC DENSITY ESTIMATION. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13748jav232

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):

Vernon, Julia Anne. “FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC DENSITY ESTIMATION.” 2017. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/13748jav232.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Vernon, Julia Anne. “FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC DENSITY ESTIMATION.” 2017. Web. 28 Oct 2020.

Vancouver:

Vernon JA. FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC DENSITY ESTIMATION. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/13748jav232.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vernon JA. FIN WHALE DISTRIBUTION IN THE INDIAN AND EQUATORIAL PACIFIC OCEANS IN SUPPORT OF PASSIVE ACOUSTIC DENSITY ESTIMATION. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13748jav232

Not specified: Masters Thesis or Doctoral Dissertation

Tokyo Institute of Technology / 東京工業大学

2. LIU, SONG. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.

Degree: 博士(工学), 2015, Tokyo Institute of Technology / 東京工業大学

URL: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167

► In this thesis, we focus on unsupervised change detection, and propose two novel approaches in distributional and structural change detection respectively. First, we propose a…
(more)

Subjects/Keywords: Change Detection; Machine Learning; Density Ratio Estimation

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APA (6^{th} Edition):

LIU, S. (2015). Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. (Thesis). Tokyo Institute of Technology / 東京工業大学. Retrieved from http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167

Not specified: Masters Thesis or Doctoral Dissertation

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

LIU, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2015. Thesis, Tokyo Institute of Technology / 東京工業大学. Accessed October 28, 2020. http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

LIU, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2015. Web. 28 Oct 2020.

Vancouver:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Internet] [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2015. [cited 2020 Oct 28]. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2015. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167

Not specified: Masters Thesis or Doctoral Dissertation

Tokyo Institute of Technology / 東京工業大学

3. LIU, SONG. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.

Degree: 博士(工学), 2014, Tokyo Institute of Technology / 東京工業大学

URL: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815

► In this thesis, we focus on unsupervised change detection, and propose two novel approaches in distributional and structural change detection respectively. First, we propose a…
(more)

Subjects/Keywords: Change Detection; Machine Learning; Density Ratio Estimation

Record Details Similar Records

❌

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

APA (6^{th} Edition):

LIU, S. (2014). Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. (Thesis). Tokyo Institute of Technology / 東京工業大学. Retrieved from http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815

Not specified: Masters Thesis or Doctoral Dissertation

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

LIU, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2014. Thesis, Tokyo Institute of Technology / 東京工業大学. Accessed October 28, 2020. http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

LIU, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2014. Web. 28 Oct 2020.

Vancouver:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Internet] [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2014. [cited 2020 Oct 28]. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2014. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

4.
Dorn, Mary Frances.
Semiparametric Classification under a Forest *Density* Assumption.

Degree: PhD, Statistics, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/161361

► This dissertation proposes a new semiparametric approach for binary classification that exploits the modeling flexibility of sparse graphical models. This approach is based on non-parametrically…
(more)

Subjects/Keywords: classification; nonparametric density estimation; forests; machine learning

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

APA (6^{th} Edition):

Dorn, M. F. (2017). Semiparametric Classification under a Forest Density Assumption. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161361

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

Dorn, Mary Frances. “Semiparametric Classification under a Forest Density Assumption.” 2017. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/161361.

MLA Handbook (7^{th} Edition):

Dorn, Mary Frances. “Semiparametric Classification under a Forest Density Assumption.” 2017. Web. 28 Oct 2020.

Vancouver:

Dorn MF. Semiparametric Classification under a Forest Density Assumption. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/161361.

Council of Science Editors:

Dorn MF. Semiparametric Classification under a Forest Density Assumption. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161361

Texas Tech University

5.
Dassanayake, Placida Amali.
Local orthogonal polynomial expansions for *density* * estimation*.

Degree: MS, Statistics, 2012, Texas Tech University

URL: http://hdl.handle.net/2346/73887

► We propose a new method to estimate the *density* function of a univariate continuous random variable. local orthogonal polynomial expansions (LOrPE) the new method draws…
(more)

Subjects/Keywords: Local Orthogonal Polynomial Expansion; Kernel Density Estimation

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APA (6^{th} Edition):

Dassanayake, P. A. (2012). Local orthogonal polynomial expansions for density estimation. (Masters Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/73887

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

Dassanayake, Placida Amali. “Local orthogonal polynomial expansions for density estimation.” 2012. Masters Thesis, Texas Tech University. Accessed October 28, 2020. http://hdl.handle.net/2346/73887.

MLA Handbook (7^{th} Edition):

Dassanayake, Placida Amali. “Local orthogonal polynomial expansions for density estimation.” 2012. Web. 28 Oct 2020.

Vancouver:

Dassanayake PA. Local orthogonal polynomial expansions for density estimation. [Internet] [Masters thesis]. Texas Tech University; 2012. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/2346/73887.

Council of Science Editors:

Dassanayake PA. Local orthogonal polynomial expansions for density estimation. [Masters Thesis]. Texas Tech University; 2012. Available from: http://hdl.handle.net/2346/73887

6.
Chiu, Chi-Yang.
Nonparametric Mixed-Effects *Density* Regression.

Degree: 2015, University of California – eScholarship, University of California

URL: http://www.escholarship.org/uc/item/74m251sw

► Conditional *density* provides the most informative summary of the relationship between independent and dependent variables. It enables us to examine the overall shapes of densities…
(more)

Subjects/Keywords: Statistics; Density Estimation; Mixed-Effects Model

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APA (6^{th} Edition):

Chiu, C. (2015). Nonparametric Mixed-Effects Density Regression. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/74m251sw

Not specified: Masters Thesis or Doctoral Dissertation

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

Chiu, Chi-Yang. “Nonparametric Mixed-Effects Density Regression.” 2015. Thesis, University of California – eScholarship, University of California. Accessed October 28, 2020. http://www.escholarship.org/uc/item/74m251sw.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chiu, Chi-Yang. “Nonparametric Mixed-Effects Density Regression.” 2015. Web. 28 Oct 2020.

Vancouver:

Chiu C. Nonparametric Mixed-Effects Density Regression. [Internet] [Thesis]. University of California – eScholarship, University of California; 2015. [cited 2020 Oct 28]. Available from: http://www.escholarship.org/uc/item/74m251sw.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chiu C. Nonparametric Mixed-Effects Density Regression. [Thesis]. University of California – eScholarship, University of California; 2015. Available from: http://www.escholarship.org/uc/item/74m251sw

Not specified: Masters Thesis or Doctoral Dissertation

7. Macías Vera, Paula. Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk.

Degree: Máster europeo en Ingeniería de la Construcción, 2014, Universidad de Cantabria

URL: http://hdl.handle.net/10902/5335

► The kinematics of the flow of rock salt on a spreader disk is observed in full scale from movies recorded with a high speed camera…
(more)

Subjects/Keywords: Density estimation

…large variation. The
*density* of salt considered in this study is 2165 kg/m3 (Weast… …necessary are the area ܣπ and the empiric *density* ߩπ of
each sub-domain along the radial axis… …considered (Figure 20).
Area along
the blade
*Density*
distribution
Figure 20… …Identification of area and *density* sections
·
First step: frame selection
The spreader disk has been… …*density* of each sub-domain of the
sub-cluster in the specific frame
A coefficient of compaction…

Record Details Similar Records

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APA (6^{th} Edition):

Macías Vera, P. (2014). Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk. (Masters Thesis). Universidad de Cantabria. Retrieved from http://hdl.handle.net/10902/5335

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

Macías Vera, Paula. “Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk.” 2014. Masters Thesis, Universidad de Cantabria. Accessed October 28, 2020. http://hdl.handle.net/10902/5335.

MLA Handbook (7^{th} Edition):

Macías Vera, Paula. “Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk.” 2014. Web. 28 Oct 2020.

Vancouver:

Macías Vera P. Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk. [Internet] [Masters thesis]. Universidad de Cantabria; 2014. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10902/5335.

Council of Science Editors:

Macías Vera P. Mathematical modelling of the kinematics of a sub-cluster of salft particles in a spinning spreader disk. [Masters Thesis]. Universidad de Cantabria; 2014. Available from: http://hdl.handle.net/10902/5335

Rice University

8.
Taylor, Josh.
Learning from SOM Voronoi Tessellations: Applications to *Density* *Estimation* and Clustering.

Degree: PhD, Engineering, 2020, Rice University

URL: http://hdl.handle.net/1911/108374

► This work collectively demonstrates how a study of the geometry of the Voronoi tessellations induced by manifold learning via Self-Organizing Maps (SOMs) can inform the…
(more)

Subjects/Keywords: Self-Organizing Maps; Kernel Density Estimation; Clustering

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APA (6^{th} Edition):

Taylor, J. (2020). Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/108374

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

Taylor, Josh. “Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering.” 2020. Doctoral Dissertation, Rice University. Accessed October 28, 2020. http://hdl.handle.net/1911/108374.

MLA Handbook (7^{th} Edition):

Taylor, Josh. “Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering.” 2020. Web. 28 Oct 2020.

Vancouver:

Taylor J. Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering. [Internet] [Doctoral dissertation]. Rice University; 2020. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1911/108374.

Council of Science Editors:

Taylor J. Learning from SOM Voronoi Tessellations: Applications to Density Estimation and Clustering. [Doctoral Dissertation]. Rice University; 2020. Available from: http://hdl.handle.net/1911/108374

9.
Uria, Benigno.
Connectionist multivariate *density*-*estimation* and its application to speech synthesis.

Degree: PhD, 2016, University of Edinburgh

URL: http://hdl.handle.net/1842/15868

► Autoregressive models factorize a multivariate joint probability distribution into a product of one-dimensional conditional distributions. The variables are assigned an ordering, and the conditional distribution…
(more)

Subjects/Keywords: 006.5; deep learning; density estimation; speech synthesis

Record Details Similar Records

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APA (6^{th} Edition):

Uria, B. (2016). Connectionist multivariate density-estimation and its application to speech synthesis. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/15868

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

Uria, Benigno. “Connectionist multivariate density-estimation and its application to speech synthesis.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed October 28, 2020. http://hdl.handle.net/1842/15868.

MLA Handbook (7^{th} Edition):

Uria, Benigno. “Connectionist multivariate density-estimation and its application to speech synthesis.” 2016. Web. 28 Oct 2020.

Vancouver:

Uria B. Connectionist multivariate density-estimation and its application to speech synthesis. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1842/15868.

Council of Science Editors:

Uria B. Connectionist multivariate density-estimation and its application to speech synthesis. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/15868

Texas A&M University

10. Wen, Kuangyu. Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance.

Degree: PhD, Agricultural Economics, 2015, Texas A&M University

URL: http://hdl.handle.net/1969.1/155094

► This dissertation includes three essays. The first essay concerns nonparametric kernel *density* *estimation* on the unit interval. The Kernel *Density* Estimator (KDE) suffers boundary biases…
(more)

Subjects/Keywords: Kernel density estimation; Bounded support; Copula density; Crop insurance; Spatial Smoothing

Record Details Similar Records

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APA (6^{th} Edition):

Wen, K. (2015). Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155094

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

Wen, Kuangyu. “Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance.” 2015. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/155094.

MLA Handbook (7^{th} Edition):

Wen, Kuangyu. “Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance.” 2015. Web. 28 Oct 2020.

Vancouver:

Wen K. Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/155094.

Council of Science Editors:

Wen K. Three Essays on Nonparametric Econometrics with Applications to Financial Economics and Insurance. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155094

11.
Shang, Zongyuan.
Nonparametric *Density* *Estimation* Methods with Application to the U.S. Crop Insurance Program.

Degree: PhD, Department of Food, Agricultural and Resource Economics, 2015, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8874

► Theoretically, the bias reduction and the variance reduction nonparametric *density* estimators could have but not yet been combined. Practically, accurate *estimation* of premiums is a…
(more)

Subjects/Keywords: nonparametric; insurance; premium; density estimation; crop insurance; yield distribution; yield density

Record Details Similar Records

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APA (6^{th} Edition):

Shang, Z. (2015). Nonparametric Density Estimation Methods with Application to the U.S. Crop Insurance Program. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8874

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

Shang, Zongyuan. “Nonparametric Density Estimation Methods with Application to the U.S. Crop Insurance Program.” 2015. Doctoral Dissertation, University of Guelph. Accessed October 28, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8874.

MLA Handbook (7^{th} Edition):

Shang, Zongyuan. “Nonparametric Density Estimation Methods with Application to the U.S. Crop Insurance Program.” 2015. Web. 28 Oct 2020.

Vancouver:

Shang Z. Nonparametric Density Estimation Methods with Application to the U.S. Crop Insurance Program. [Internet] [Doctoral dissertation]. University of Guelph; 2015. [cited 2020 Oct 28]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8874.

Council of Science Editors:

Shang Z. Nonparametric Density Estimation Methods with Application to the U.S. Crop Insurance Program. [Doctoral Dissertation]. University of Guelph; 2015. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8874

North-West University

12. Liebenberg, Shawn Carl. Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg .

Degree: 2014, North-West University

URL: http://hdl.handle.net/10394/15363

► Scientists often encounter unobserved or missing measurements that are typically reported as less than a fixed detection limit. This especially occurs in the environmental sciences…
(more)

Subjects/Keywords: Multiple imputation; Detection limit; Maximum likelihood estimation; Kernel density estimation; Bootstrap

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APA (6^{th} Edition):

Liebenberg, S. C. (2014). Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/15363

Not specified: Masters Thesis or Doctoral Dissertation

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

Liebenberg, Shawn Carl. “Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg .” 2014. Thesis, North-West University. Accessed October 28, 2020. http://hdl.handle.net/10394/15363.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Liebenberg, Shawn Carl. “Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg .” 2014. Web. 28 Oct 2020.

Vancouver:

Liebenberg SC. Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg . [Internet] [Thesis]. North-West University; 2014. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10394/15363.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liebenberg SC. Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg . [Thesis]. North-West University; 2014. Available from: http://hdl.handle.net/10394/15363

Not specified: Masters Thesis or Doctoral Dissertation

Université de Sherbrooke

13. Yadegari, Iraj. Prédiction, inférence sélective et quelques problèmes connexes.

Degree: 2017, Université de Sherbrooke

URL: http://hdl.handle.net/11143/10167

► Abstract : We study the problem of point *estimation* and predictive *density* *estimation* of the mean of a selected population, obtaining novel developments which include…
(more)

Subjects/Keywords: Selective inference; Predictive density estimation; Estimation after selection

Record Details Similar Records

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APA (6^{th} Edition):

Yadegari, I. (2017). Prédiction, inférence sélective et quelques problèmes connexes. (Doctoral Dissertation). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/10167

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

Yadegari, Iraj. “Prédiction, inférence sélective et quelques problèmes connexes.” 2017. Doctoral Dissertation, Université de Sherbrooke. Accessed October 28, 2020. http://hdl.handle.net/11143/10167.

MLA Handbook (7^{th} Edition):

Yadegari, Iraj. “Prédiction, inférence sélective et quelques problèmes connexes.” 2017. Web. 28 Oct 2020.

Vancouver:

Yadegari I. Prédiction, inférence sélective et quelques problèmes connexes. [Internet] [Doctoral dissertation]. Université de Sherbrooke; 2017. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/11143/10167.

Council of Science Editors:

Yadegari I. Prédiction, inférence sélective et quelques problèmes connexes. [Doctoral Dissertation]. Université de Sherbrooke; 2017. Available from: http://hdl.handle.net/11143/10167

University of Illinois – Chicago

14.
Haji Alizad, Sina.
A Nonparametric Cumulative Distribution Function *Estimation* and Random Number Generator Circuit.

Degree: 2017, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/21929

► Statistical computing operations such as Bayesian inference, stochastic programming, image and signal processing and cryptography are based on estimating the *density* functions. The nonparametric *density*…
(more)

Subjects/Keywords: Low power computing; CDF Estimation; Nonparametric Density Functions; Statistical Computing; Kernel Density Estimation; Random Number Generator

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

APA (6^{th} Edition):

Haji Alizad, S. (2017). A Nonparametric Cumulative Distribution Function Estimation and Random Number Generator Circuit. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21929

Not specified: Masters Thesis or Doctoral Dissertation

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

Haji Alizad, Sina. “A Nonparametric Cumulative Distribution Function Estimation and Random Number Generator Circuit.” 2017. Thesis, University of Illinois – Chicago. Accessed October 28, 2020. http://hdl.handle.net/10027/21929.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Haji Alizad, Sina. “A Nonparametric Cumulative Distribution Function Estimation and Random Number Generator Circuit.” 2017. Web. 28 Oct 2020.

Vancouver:

Haji Alizad S. A Nonparametric Cumulative Distribution Function Estimation and Random Number Generator Circuit. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10027/21929.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Haji Alizad S. A Nonparametric Cumulative Distribution Function Estimation and Random Number Generator Circuit. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21929

Not specified: Masters Thesis or Doctoral Dissertation

University of Melbourne

15. McLean, Christopher Charles. Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy.

Degree: 2019, University of Melbourne

URL: http://hdl.handle.net/11343/233608

► The phenomena of pulse pile-up presents a significant challenge to the upper limits of performance of X-ray and γ-ray spectroscopic systems. In spite of the…
(more)

Subjects/Keywords: pile-up; decompounding; spectroscopy; density deconvolution; X-ray; non-parametric density estimation

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APA (6^{th} Edition):

McLean, C. C. (2019). Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/233608

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

McLean, Christopher Charles. “Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy.” 2019. Doctoral Dissertation, University of Melbourne. Accessed October 28, 2020. http://hdl.handle.net/11343/233608.

MLA Handbook (7^{th} Edition):

McLean, Christopher Charles. “Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy.” 2019. Web. 28 Oct 2020.

Vancouver:

McLean CC. Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy. [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/11343/233608.

Council of Science Editors:

McLean CC. Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy. [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/233608

University of Alberta

16.
Liu, Yang.
Reliability *Estimation* Based on Condition Monitoring
Data.

Degree: MS, Department of Mechanical Engineering, 2016, University of Alberta

URL: https://era.library.ualberta.ca/files/c5712m675k

► Reliability *estimation* based on condition monitoring data contains two important parts: thresholding and probability *density* *estimation*. Thresholding is to determine a critical level of an…
(more)

Subjects/Keywords: Reliability estimation; Condition monitoring; One-class support vector machine; Kernel density estimation

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APA (6^{th} Edition):

Liu, Y. (2016). Reliability Estimation Based on Condition Monitoring Data. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/c5712m675k

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

Liu, Yang. “Reliability Estimation Based on Condition Monitoring Data.” 2016. Masters Thesis, University of Alberta. Accessed October 28, 2020. https://era.library.ualberta.ca/files/c5712m675k.

MLA Handbook (7^{th} Edition):

Liu, Yang. “Reliability Estimation Based on Condition Monitoring Data.” 2016. Web. 28 Oct 2020.

Vancouver:

Liu Y. Reliability Estimation Based on Condition Monitoring Data. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2020 Oct 28]. Available from: https://era.library.ualberta.ca/files/c5712m675k.

Council of Science Editors:

Liu Y. Reliability Estimation Based on Condition Monitoring Data. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/c5712m675k

17. Bailly, Raphael. Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players.

Degree: Docteur es, Informatique, 2011, Aix-Marseille 1

URL: http://www.theses.fr/2011AIX10125

►

Nous nous plaçons dans le cadre de l’inférence grammaticale probabiliste. Il s’agit, étant donnée une distribution p sur un ensemble de chaînes S∗ inconnue, d’inférer… (more)

Subjects/Keywords: Inférence grammaticale; Estimation de densité non-paramétrique; Grammatical inference; Non-parametric density estimation

Record Details Similar Records

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

APA (6^{th} Edition):

Bailly, R. (2011). Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players. (Doctoral Dissertation). Aix-Marseille 1. Retrieved from http://www.theses.fr/2011AIX10125

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

Bailly, Raphael. “Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players.” 2011. Doctoral Dissertation, Aix-Marseille 1. Accessed October 28, 2020. http://www.theses.fr/2011AIX10125.

MLA Handbook (7^{th} Edition):

Bailly, Raphael. “Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players.” 2011. Web. 28 Oct 2020.

Vancouver:

Bailly R. Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players. [Internet] [Doctoral dissertation]. Aix-Marseille 1; 2011. [cited 2020 Oct 28]. Available from: http://www.theses.fr/2011AIX10125.

Council of Science Editors:

Bailly R. Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels : Influence of age, maturity and body dimensions on selection of under-17 Algerian soccer players. [Doctoral Dissertation]. Aix-Marseille 1; 2011. Available from: http://www.theses.fr/2011AIX10125

University of Canterbury

18. Teng, Gloria Ai Hui. Statistical Regular Pavings and their Applications.

Degree: PhD, Statistics, 2013, University of Canterbury

URL: http://dx.doi.org/10.26021/2552

► We propose using statistical regular pavings (SRPs) as an efficient and adaptive statistical data structure for processing massive, multi-dimensional data. A regular paving (RP) is…
(more)

Subjects/Keywords: histogram estimation; nonparametric density estimation; Markov Chain Monte Carlo; spatio-temporal data; statistical regular pavings

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APA (6^{th} Edition):

Teng, G. A. H. (2013). Statistical Regular Pavings and their Applications. (Doctoral Dissertation). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/2552

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

Teng, Gloria Ai Hui. “Statistical Regular Pavings and their Applications.” 2013. Doctoral Dissertation, University of Canterbury. Accessed October 28, 2020. http://dx.doi.org/10.26021/2552.

MLA Handbook (7^{th} Edition):

Teng, Gloria Ai Hui. “Statistical Regular Pavings and their Applications.” 2013. Web. 28 Oct 2020.

Vancouver:

Teng GAH. Statistical Regular Pavings and their Applications. [Internet] [Doctoral dissertation]. University of Canterbury; 2013. [cited 2020 Oct 28]. Available from: http://dx.doi.org/10.26021/2552.

Council of Science Editors:

Teng GAH. Statistical Regular Pavings and their Applications. [Doctoral Dissertation]. University of Canterbury; 2013. Available from: http://dx.doi.org/10.26021/2552

University of Missouri – Columbia

19. Ma, Zhenhua. Asymptotically efficient estimators for geometric shape fitting and source localization.

Degree: 2013, University of Missouri – Columbia

URL: http://hdl.handle.net/10355/46134

► Solving the nonlinear *estimation* problem is known to be a challenging task because of the implicit relationship between the measurement data and the unknown parameters…
(more)

Subjects/Keywords: nonlinear estimation problem; sensor position; probability density function; Nonlinear theories; Estimation theory; Electrical engineering

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

APA (6^{th} Edition):

Ma, Z. (2013). Asymptotically efficient estimators for geometric shape fitting and source localization. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/46134

Not specified: Masters Thesis or Doctoral Dissertation

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

Ma, Zhenhua. “Asymptotically efficient estimators for geometric shape fitting and source localization.” 2013. Thesis, University of Missouri – Columbia. Accessed October 28, 2020. http://hdl.handle.net/10355/46134.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ma, Zhenhua. “Asymptotically efficient estimators for geometric shape fitting and source localization.” 2013. Web. 28 Oct 2020.

Vancouver:

Ma Z. Asymptotically efficient estimators for geometric shape fitting and source localization. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10355/46134.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ma Z. Asymptotically efficient estimators for geometric shape fitting and source localization. [Thesis]. University of Missouri – Columbia; 2013. Available from: http://hdl.handle.net/10355/46134

Not specified: Masters Thesis or Doctoral Dissertation

Universiteit Utrecht

20. Li, L. Leisure and Weather at Rotterdam.

Degree: 2014, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/301411

► This study was designed to discover people’s daily leisure behavior respond to different weather conditions, and also if the transportations and individual specific characteristics matters…
(more)

Subjects/Keywords: Leisure; Weather; Transportation; Kernel Density Estimation; Rotterdam; Empirical Study

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APA (6^{th} Edition):

Li, L. (2014). Leisure and Weather at Rotterdam. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/301411

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

Li, L. “Leisure and Weather at Rotterdam.” 2014. Masters Thesis, Universiteit Utrecht. Accessed October 28, 2020. http://dspace.library.uu.nl:8080/handle/1874/301411.

MLA Handbook (7^{th} Edition):

Li, L. “Leisure and Weather at Rotterdam.” 2014. Web. 28 Oct 2020.

Vancouver:

Li L. Leisure and Weather at Rotterdam. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2020 Oct 28]. Available from: http://dspace.library.uu.nl:8080/handle/1874/301411.

Council of Science Editors:

Li L. Leisure and Weather at Rotterdam. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/301411

University of California – Berkeley

21. Long, James Patrick. Prediction Methods for Astronomical Data Observed with Measurement Error.

Degree: Statistics, 2013, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/0s79z3hk

► We study prediction when features are observed with measurement error. The research is motivated by classification challenges in astronomy.In Chapter 1 we introduce the periodic…
(more)

Subjects/Keywords: Statistics; Astronomy; astrostatistics; classification; density estimation; measurement error; variable stars

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

APA (6^{th} Edition):

Long, J. P. (2013). Prediction Methods for Astronomical Data Observed with Measurement Error. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/0s79z3hk

Not specified: Masters Thesis or Doctoral Dissertation

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

Long, James Patrick. “Prediction Methods for Astronomical Data Observed with Measurement Error.” 2013. Thesis, University of California – Berkeley. Accessed October 28, 2020. http://www.escholarship.org/uc/item/0s79z3hk.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Long, James Patrick. “Prediction Methods for Astronomical Data Observed with Measurement Error.” 2013. Web. 28 Oct 2020.

Vancouver:

Long JP. Prediction Methods for Astronomical Data Observed with Measurement Error. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2020 Oct 28]. Available from: http://www.escholarship.org/uc/item/0s79z3hk.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Long JP. Prediction Methods for Astronomical Data Observed with Measurement Error. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/0s79z3hk

Not specified: Masters Thesis or Doctoral Dissertation

Mississippi State University

22.
Xu, Yang.
On non-parametric confidence intervals for *density* and hazard rate functions & trends in daily snow depths in the United States and Canada.

Degree: PhD, Mathematics and Statistics, 2016, Mississippi State University

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222016-230408/ ;

► The nonparametric confidence interval for an unknown function is quite a useful tool in statistical inferential procedures; and thus, there exists a wide body…
(more)

Subjects/Keywords: kernel density; climate change; nonparametric estimation; storage model

Record Details Similar Records

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APA (6^{th} Edition):

Xu, Y. (2016). On non-parametric confidence intervals for density and hazard rate functions & trends in daily snow depths in the United States and Canada. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222016-230408/ ;

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

Xu, Yang. “On non-parametric confidence intervals for density and hazard rate functions & trends in daily snow depths in the United States and Canada.” 2016. Doctoral Dissertation, Mississippi State University. Accessed October 28, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222016-230408/ ;.

MLA Handbook (7^{th} Edition):

Xu, Yang. “On non-parametric confidence intervals for density and hazard rate functions & trends in daily snow depths in the United States and Canada.” 2016. Web. 28 Oct 2020.

Vancouver:

Xu Y. On non-parametric confidence intervals for density and hazard rate functions & trends in daily snow depths in the United States and Canada. [Internet] [Doctoral dissertation]. Mississippi State University; 2016. [cited 2020 Oct 28]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222016-230408/ ;.

Council of Science Editors:

Xu Y. On non-parametric confidence intervals for density and hazard rate functions & trends in daily snow depths in the United States and Canada. [Doctoral Dissertation]. Mississippi State University; 2016. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222016-230408/ ;

23.
Hamsa, K K.
Some contributions to renewal *density*
*estimation*; -.

Degree: Statistics, 2014, University of Calicut

URL: http://shodhganga.inflibnet.ac.in/handle/10603/21714

Subjects/Keywords: Renewal density estimation; Statistics

Record Details Similar Records

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APA (6^{th} Edition):

Hamsa, K. K. (2014). Some contributions to renewal density estimation; -. (Thesis). University of Calicut. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/21714

Not specified: Masters Thesis or Doctoral Dissertation

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

Hamsa, K K. “Some contributions to renewal density estimation; -.” 2014. Thesis, University of Calicut. Accessed October 28, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/21714.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hamsa, K K. “Some contributions to renewal density estimation; -.” 2014. Web. 28 Oct 2020.

Vancouver:

Hamsa KK. Some contributions to renewal density estimation; -. [Internet] [Thesis]. University of Calicut; 2014. [cited 2020 Oct 28]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/21714.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hamsa KK. Some contributions to renewal density estimation; -. [Thesis]. University of Calicut; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/21714

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

24. Katiyar, Ashish. Determination of Cancer Tissue Heterogeneity.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/161403

► Understanding the heterogeneous nature of cancer tissue is a very important problem in cancer research. It can give insights into the cause of disease, its…
(more)

Subjects/Keywords: Heterogeneity; Bayesian methods; Metropolis Hastings; Kernel Density Estimation

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APA (6^{th} Edition):

Katiyar, A. (2017). Determination of Cancer Tissue Heterogeneity. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161403

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

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Masters Thesis, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/161403.

MLA Handbook (7^{th} Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Web. 28 Oct 2020.

Vancouver:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/161403.

Council of Science Editors:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161403

Penn State University

25. Park, Sae Na. Classification of Transients by Distance Measures.

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/26313

► Due to a rapidly increasing size of data in astronomical surveys, statistical methods which can automatically classify newly detected celestial objects in an accurate and…
(more)

Subjects/Keywords: Classification; Kullback-Leibler divergence; Kernel density estimation; Transients; Variable stars

Record Details Similar Records

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

APA (6^{th} Edition):

Park, S. N. (2015). Classification of Transients by Distance Measures. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26313

Not specified: Masters Thesis or Doctoral Dissertation

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

Park, Sae Na. “Classification of Transients by Distance Measures.” 2015. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/26313.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Park, Sae Na. “Classification of Transients by Distance Measures.” 2015. Web. 28 Oct 2020.

Vancouver:

Park SN. Classification of Transients by Distance Measures. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/26313.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Park SN. Classification of Transients by Distance Measures. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26313

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

26.
Rao, Aniruddha Rajendra.
COMPARISON OF DIFFERENT *DENSITY* ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16246arr30

► In this thesis, we consider the problem of estimating an unknown *density*, p_o belonging to an infinite dimensional exponential family P parametrized by functions in…
(more)

Subjects/Keywords: Kernel Methods; Density Estimation; Exponential Family; Computation; Infinite Dimension

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APA (6^{th} Edition):

Rao, A. R. (2019). COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16246arr30

Not specified: Masters Thesis or Doctoral Dissertation

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

Rao, Aniruddha Rajendra. “COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES.” 2019. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/16246arr30.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Rao, Aniruddha Rajendra. “COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES.” 2019. Web. 28 Oct 2020.

Vancouver:

Rao AR. COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/16246arr30.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rao AR. COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16246arr30

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

27.
Liu, Rui.
Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves *Estimation* and Diagnostics.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16734rxl356

► A signiﬁcant percentage of hydrocarbon reservoirs around the world is fractured[1]. Moreover, the major part of gas reservoirs are also fractured type, so production data…
(more)

Subjects/Keywords: production data analysis; rate transient analysis; reserve estimation; density-based approach

Record Details Similar Records

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APA (6^{th} Edition):

Liu, R. (2019). Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves Estimation and Diagnostics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16734rxl356

Not specified: Masters Thesis or Doctoral Dissertation

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

Liu, Rui. “Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves Estimation and Diagnostics.” 2019. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/16734rxl356.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Liu, Rui. “Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves Estimation and Diagnostics.” 2019. Web. 28 Oct 2020.

Vancouver:

Liu R. Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves Estimation and Diagnostics. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/16734rxl356.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu R. Production Data Analysis in Complex Fractured Gas Reservoirs: Reserves Estimation and Diagnostics. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16734rxl356

Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

28. Dockhorn, Tim. Generative Modeling with Neural Ordinary Differential Equations.

Degree: 2019, University of Waterloo

URL: http://hdl.handle.net/10012/15354

► Neural ordinary differential equations (NODEs) (Chen et al., 2018) are ordinary differential equations (ODEs) with their dynamics modeled by neural networks. Continuous normalizing flows (CNFs)…
(more)

Subjects/Keywords: generative modeling; neural ordinary differential equations; density estimation; deep learning

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APA (6^{th} Edition):

Dockhorn, T. (2019). Generative Modeling with Neural Ordinary Differential Equations. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15354

Not specified: Masters Thesis or Doctoral Dissertation

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

Dockhorn, Tim. “Generative Modeling with Neural Ordinary Differential Equations.” 2019. Thesis, University of Waterloo. Accessed October 28, 2020. http://hdl.handle.net/10012/15354.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dockhorn, Tim. “Generative Modeling with Neural Ordinary Differential Equations.” 2019. Web. 28 Oct 2020.

Vancouver:

Dockhorn T. Generative Modeling with Neural Ordinary Differential Equations. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10012/15354.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dockhorn T. Generative Modeling with Neural Ordinary Differential Equations. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/15354

Not specified: Masters Thesis or Doctoral Dissertation

North Carolina State University

29.
McIntyre, Julie P.
* Density* Deconvolution with Replicate Measurements and Auxiliary Data.

Degree: PhD, Statistics, 2003, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/3460

► We present two deconvolution estimators for the *density* function of a random variable X that is measured with error. The first estimates the *density* of…
(more)

Subjects/Keywords: deconvolution; measurement error; density estimation

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

APA (6^{th} Edition):

McIntyre, J. P. (2003). Density Deconvolution with Replicate Measurements and Auxiliary Data. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3460

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

McIntyre, Julie P. “Density Deconvolution with Replicate Measurements and Auxiliary Data.” 2003. Doctoral Dissertation, North Carolina State University. Accessed October 28, 2020. http://www.lib.ncsu.edu/resolver/1840.16/3460.

MLA Handbook (7^{th} Edition):

McIntyre, Julie P. “Density Deconvolution with Replicate Measurements and Auxiliary Data.” 2003. Web. 28 Oct 2020.

Vancouver:

McIntyre JP. Density Deconvolution with Replicate Measurements and Auxiliary Data. [Internet] [Doctoral dissertation]. North Carolina State University; 2003. [cited 2020 Oct 28]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3460.

Council of Science Editors:

McIntyre JP. Density Deconvolution with Replicate Measurements and Auxiliary Data. [Doctoral Dissertation]. North Carolina State University; 2003. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3460

University of Guelph

30.
Ramadan, Anas.
EMPIRICAL BAYES NONPARAMETRIC *DENSITY* *ESTIMATION* OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS.

Degree: MS, Department of Food, Agricultural and Resource Economics, 2011, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3020

► This thesis examines a newly proposed *density* estimator in order to evaluate its usefulness for government crop insurance programs confronted by the problem of adverse…
(more)

Subjects/Keywords: Empirical Bayes Nonparametric Kernel Density Estimation; crop yield; insurance

Record Details Similar Records

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

APA (6^{th} Edition):

Ramadan, A. (2011). EMPIRICAL BAYES NONPARAMETRIC DENSITY ESTIMATION OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3020

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

Ramadan, Anas. “EMPIRICAL BAYES NONPARAMETRIC DENSITY ESTIMATION OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS.” 2011. Masters Thesis, University of Guelph. Accessed October 28, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3020.

MLA Handbook (7^{th} Edition):

Ramadan, Anas. “EMPIRICAL BAYES NONPARAMETRIC DENSITY ESTIMATION OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS.” 2011. Web. 28 Oct 2020.

Vancouver:

Ramadan A. EMPIRICAL BAYES NONPARAMETRIC DENSITY ESTIMATION OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS. [Internet] [Masters thesis]. University of Guelph; 2011. [cited 2020 Oct 28]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3020.

Council of Science Editors:

Ramadan A. EMPIRICAL BAYES NONPARAMETRIC DENSITY ESTIMATION OF CROP YIELD DENSITIES: RATING CROP INSURANCE CONTRACTS. [Masters Thesis]. University of Guelph; 2011. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3020