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You searched for +publisher:"Texas A&M University" +contributor:("Mallick, Bani"). Showing records 1 – 30 of 67 total matches.

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Texas A&M University

1. Prabhakar, Avinash. Uncertainty Propagation in Hypersonic Flight Dynamics and Comparison of Different Methods.

Degree: 2010, Texas A&M University

 In this work we present a novel computational framework for analyzing evolution of uncertainty in state trajectories of a hypersonic air vehicle due to uncertainty… (more)

Subjects/Keywords: Sample space sigma$-algebra Probability measure Non dimensional altitude Non dimensional velocity Flight path angle Lift over drag ratio Ballistic coefficient Gaussian Uniform

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APA (6th Edition):

Prabhakar, A. (2010). Uncertainty Propagation in Hypersonic Flight Dynamics and Comparison of Different Methods. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-194

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

Chicago Manual of Style (16th Edition):

Prabhakar, Avinash. “Uncertainty Propagation in Hypersonic Flight Dynamics and Comparison of Different Methods.” 2010. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-194.

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

MLA Handbook (7th Edition):

Prabhakar, Avinash. “Uncertainty Propagation in Hypersonic Flight Dynamics and Comparison of Different Methods.” 2010. Web. 16 Oct 2019.

Vancouver:

Prabhakar A. Uncertainty Propagation in Hypersonic Flight Dynamics and Comparison of Different Methods. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-194.

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

Council of Science Editors:

Prabhakar A. Uncertainty Propagation in Hypersonic Flight Dynamics and Comparison of Different Methods. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-194

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


Texas A&M University

2. Peterson, Jacob Ross. Exponentially-convergent Monte Carlo for the One-dimensional Transport Equation.

Degree: 2014, Texas A&M University

 An exponentially-convergent Monte Carlo (ECMC) method is analyzed using the one-group, one-dimension, slab-geometry transport equation. The method is based upon the use of a linear… (more)

Subjects/Keywords: Monte Carlo; Geometric Monte Carlo; Exponential Monte Carlo

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APA (6th Edition):

Peterson, J. R. (2014). Exponentially-convergent Monte Carlo for the One-dimensional Transport Equation. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152727

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

Chicago Manual of Style (16th Edition):

Peterson, Jacob Ross. “Exponentially-convergent Monte Carlo for the One-dimensional Transport Equation.” 2014. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/152727.

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

MLA Handbook (7th Edition):

Peterson, Jacob Ross. “Exponentially-convergent Monte Carlo for the One-dimensional Transport Equation.” 2014. Web. 16 Oct 2019.

Vancouver:

Peterson JR. Exponentially-convergent Monte Carlo for the One-dimensional Transport Equation. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/152727.

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

Council of Science Editors:

Peterson JR. Exponentially-convergent Monte Carlo for the One-dimensional Transport Equation. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152727

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


Texas A&M University

3. Aldossary, Mubarak Nasser. The Value of Assessing Uncertainty.

Degree: 2016, Texas A&M University

 Despite the perception of lucrative earnings in the oil industry, various authors have noted that industry performance is routinely below expectations. For example, the average… (more)

Subjects/Keywords: uncertainty; underestimating uncertainty; cognitive biases; overconfidence; optimism; pessimism; portfolios optimization; expected disappointment; optimizer's curse; expected decision error; directional bias

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APA (6th Edition):

Aldossary, M. N. (2016). The Value of Assessing Uncertainty. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156856

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

Chicago Manual of Style (16th Edition):

Aldossary, Mubarak Nasser. “The Value of Assessing Uncertainty.” 2016. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/156856.

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

MLA Handbook (7th Edition):

Aldossary, Mubarak Nasser. “The Value of Assessing Uncertainty.” 2016. Web. 16 Oct 2019.

Vancouver:

Aldossary MN. The Value of Assessing Uncertainty. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/156856.

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

Council of Science Editors:

Aldossary MN. The Value of Assessing Uncertainty. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156856

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


Texas A&M University

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

Degree: 2017, Texas A&M University

 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 (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Dorn, Mary Frances. “Semiparametric Classification under a Forest Density Assumption.” 2017. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/161361.

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

MLA Handbook (7th Edition):

Dorn, Mary Frances. “Semiparametric Classification under a Forest Density Assumption.” 2017. Web. 16 Oct 2019.

Vancouver:

Dorn MF. Semiparametric Classification under a Forest Density Assumption. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/161361.

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

Council of Science Editors:

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

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


Texas A&M University

5. Li, Bo. An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators.

Degree: 2009, Texas A&M University

 This dissertation includes two parts. Part 1 develops a geostatistical method to calibrate Texas NexRad rainfall estimates using rain gauge measurements. Part 2 explores the… (more)

Subjects/Keywords: NexRad data; threshold; linear regression; variogram estimation; asymptotic normality; covariance; increasing domain asymptotics; random field

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APA (6th Edition):

Li, B. (2009). An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1868

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

Chicago Manual of Style (16th Edition):

Li, Bo. “An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators.” 2009. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1868.

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

MLA Handbook (7th Edition):

Li, Bo. “An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators.” 2009. Web. 16 Oct 2019.

Vancouver:

Li B. An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1868.

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

Council of Science Editors:

Li B. An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1868

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


Texas A&M University

6. Tao, Qing. A Comparison of Waterflood Management Using Arrival Time Optimization and NPV Optimization.

Degree: 2011, Texas A&M University

 Waterflooding is currently the most commonly used method to improve oil recovery after primary depletion. The reservoir heterogeneity such as permeability distribution could negatively affect… (more)

Subjects/Keywords: waterflood management; arrival time optimization; NPV optimization; rate control; sweep efficiency

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APA (6th Edition):

Tao, Q. (2011). A Comparison of Waterflood Management Using Arrival Time Optimization and NPV Optimization. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7238

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

Chicago Manual of Style (16th Edition):

Tao, Qing. “A Comparison of Waterflood Management Using Arrival Time Optimization and NPV Optimization.” 2011. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7238.

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

MLA Handbook (7th Edition):

Tao, Qing. “A Comparison of Waterflood Management Using Arrival Time Optimization and NPV Optimization.” 2011. Web. 16 Oct 2019.

Vancouver:

Tao Q. A Comparison of Waterflood Management Using Arrival Time Optimization and NPV Optimization. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7238.

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

Council of Science Editors:

Tao Q. A Comparison of Waterflood Management Using Arrival Time Optimization and NPV Optimization. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7238

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


Texas A&M University

7. Konomi, Bledar. Bayesian Spatial Modeling of Complex and High Dimensional Data.

Degree: 2012, Texas A&M University

 The main objective of this dissertation is to apply Bayesian modeling to different complex and high-dimensional spatial data sets. I develop Bayesian hierarchical spatial models… (more)

Subjects/Keywords: Object classification; Image segmentation; Nanoparticles; Markov-chain Monte-carlo; Bayesian shape analysis; Predictive process; Full-scale approximation; Bayesian treed Gaussian process

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APA (6th Edition):

Konomi, B. (2012). Bayesian Spatial Modeling of Complex and High Dimensional Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267

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

Chicago Manual of Style (16th Edition):

Konomi, Bledar. “Bayesian Spatial Modeling of Complex and High Dimensional Data.” 2012. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267.

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

MLA Handbook (7th Edition):

Konomi, Bledar. “Bayesian Spatial Modeling of Complex and High Dimensional Data.” 2012. Web. 16 Oct 2019.

Vancouver:

Konomi B. Bayesian Spatial Modeling of Complex and High Dimensional Data. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267.

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

Council of Science Editors:

Konomi B. Bayesian Spatial Modeling of Complex and High Dimensional Data. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267

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


Texas A&M University

8. Xun, Xiaolei. Statistical Inference in Inverse Problems.

Degree: 2012, Texas A&M University

 Inverse problems have gained popularity in statistical research recently. This dissertation consists of two statistical inverse problems: a Bayesian approach to detection of small low… (more)

Subjects/Keywords: Inverse problems; Bayesian method; Source detection; Parameter estimation; Parameter cascading; Partial differential equations.

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APA (6th Edition):

Xun, X. (2012). Statistical Inference in Inverse Problems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874

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

Chicago Manual of Style (16th Edition):

Xun, Xiaolei. “Statistical Inference in Inverse Problems.” 2012. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874.

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

MLA Handbook (7th Edition):

Xun, Xiaolei. “Statistical Inference in Inverse Problems.” 2012. Web. 16 Oct 2019.

Vancouver:

Xun X. Statistical Inference in Inverse Problems. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874.

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

Council of Science Editors:

Xun X. Statistical Inference in Inverse Problems. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874

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


Texas A&M University

9. Zhang, Lin. Application of Bayesian Hierarchical Models in Genetic Data Analysis.

Degree: 2012, Texas A&M University

 Genetic data analysis has been capturing a lot of attentions for understanding the mechanism of the development and progressing of diseases like cancers, and is… (more)

Subjects/Keywords: covariance estimation; feature selection; graphical network modeling; genetic data analysis; Bayesian hierarchical model

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APA (6th Edition):

Zhang, L. (2012). Application of Bayesian Hierarchical Models in Genetic Data Analysis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148056

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

Chicago Manual of Style (16th Edition):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/148056.

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

MLA Handbook (7th Edition):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Web. 16 Oct 2019.

Vancouver:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/148056.

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

Council of Science Editors:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148056

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


Texas A&M University

10. Olalotiti-Lawal, Feyisayo. Application of Fast Marching Methods for Rapid Reservoir Forecast and Uncertainty Quantification.

Degree: 2013, Texas A&M University

 Rapid economic evaluations of investment alternatives in the oil and gas industry are typically contingent on fast and credible evaluations of reservoir models to make… (more)

Subjects/Keywords: Fast Marching Method; Geologic Model Ranking; Model Calibration; Two-Stage MCMC; Geometric Pressure Approximation

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APA (6th Edition):

Olalotiti-Lawal, F. (2013). Application of Fast Marching Methods for Rapid Reservoir Forecast and Uncertainty Quantification. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/150964

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

Chicago Manual of Style (16th Edition):

Olalotiti-Lawal, Feyisayo. “Application of Fast Marching Methods for Rapid Reservoir Forecast and Uncertainty Quantification.” 2013. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/150964.

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

MLA Handbook (7th Edition):

Olalotiti-Lawal, Feyisayo. “Application of Fast Marching Methods for Rapid Reservoir Forecast and Uncertainty Quantification.” 2013. Web. 16 Oct 2019.

Vancouver:

Olalotiti-Lawal F. Application of Fast Marching Methods for Rapid Reservoir Forecast and Uncertainty Quantification. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/150964.

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

Council of Science Editors:

Olalotiti-Lawal F. Application of Fast Marching Methods for Rapid Reservoir Forecast and Uncertainty Quantification. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/150964

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


Texas A&M University

11. De, Debkumar. Essays on Bayesian Time Series and Variable Selection.

Degree: 2014, Texas A&M University

 Estimating model parameters in dynamic model continues to be challenge. In my dissertation, we have introduced a Stochastic Approximation based parameter estimation approach under Ensemble… (more)

Subjects/Keywords: Ensemble Kalman Filter; Stochastic Approximation; Non-parametric Regression; Matrix variate regression; Variable selection

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APA (6th Edition):

De, D. (2014). Essays on Bayesian Time Series and Variable Selection. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152793

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

Chicago Manual of Style (16th Edition):

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/152793.

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

MLA Handbook (7th Edition):

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Web. 16 Oct 2019.

Vancouver:

De D. Essays on Bayesian Time Series and Variable Selection. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/152793.

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

Council of Science Editors:

De D. Essays on Bayesian Time Series and Variable Selection. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152793

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


Texas A&M University

12. Roh, Soojin. Robust Ensemble Kalman Filters and Localization for Multiple State Variables.

Degree: 2014, Texas A&M University

 Ensemble Kalman filters (EnKF) is a statistical technique used to estimate the state of a nonlinear spatio-temporal dynamical system. This dissertation consists of three parts.… (more)

Subjects/Keywords: Ensemble Kalman filter; Robust; Multivariate Localization

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APA (6th Edition):

Roh, S. (2014). Robust Ensemble Kalman Filters and Localization for Multiple State Variables. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153268

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

Chicago Manual of Style (16th Edition):

Roh, Soojin. “Robust Ensemble Kalman Filters and Localization for Multiple State Variables.” 2014. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/153268.

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

MLA Handbook (7th Edition):

Roh, Soojin. “Robust Ensemble Kalman Filters and Localization for Multiple State Variables.” 2014. Web. 16 Oct 2019.

Vancouver:

Roh S. Robust Ensemble Kalman Filters and Localization for Multiple State Variables. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/153268.

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

Council of Science Editors:

Roh S. Robust Ensemble Kalman Filters and Localization for Multiple State Variables. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153268

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


Texas A&M University

13. Wang, Yanqing. Relative Risks Analysis in Nutritional Epidemiology.

Degree: 2014, Texas A&M University

 Motivated by a logistic regression problem involving diet and cancer, we reconsider the problem of forming a confidence interval for the ratio of two location… (more)

Subjects/Keywords: Adaptive Lasso; DIMER; Direct Integral Method for Ratios; HEI-2005; I-spline; Relative Risk; Variable Selection.

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APA (6th Edition):

Wang, Y. (2014). Relative Risks Analysis in Nutritional Epidemiology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153663

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

Chicago Manual of Style (16th Edition):

Wang, Yanqing. “Relative Risks Analysis in Nutritional Epidemiology.” 2014. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/153663.

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

MLA Handbook (7th Edition):

Wang, Yanqing. “Relative Risks Analysis in Nutritional Epidemiology.” 2014. Web. 16 Oct 2019.

Vancouver:

Wang Y. Relative Risks Analysis in Nutritional Epidemiology. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/153663.

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

Council of Science Editors:

Wang Y. Relative Risks Analysis in Nutritional Epidemiology. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153663

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


Texas A&M University

14. Xia, Xiaoyang. History-Matching Production Data Using Ensemble Smoother with Multiple Data Assimilation: A Comparative Study.

Degree: 2014, Texas A&M University

 Reservoir simulation models are generated by petroleum engineers to optimize field operation and production, thus maximizing oil recovery. History matching methods are extensively used for… (more)

Subjects/Keywords: Ensemble Smoother with Multiple Data Assimilation; History Matching

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APA (6th Edition):

Xia, X. (2014). History-Matching Production Data Using Ensemble Smoother with Multiple Data Assimilation: A Comparative Study. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154226

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

Chicago Manual of Style (16th Edition):

Xia, Xiaoyang. “History-Matching Production Data Using Ensemble Smoother with Multiple Data Assimilation: A Comparative Study.” 2014. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/154226.

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

MLA Handbook (7th Edition):

Xia, Xiaoyang. “History-Matching Production Data Using Ensemble Smoother with Multiple Data Assimilation: A Comparative Study.” 2014. Web. 16 Oct 2019.

Vancouver:

Xia X. History-Matching Production Data Using Ensemble Smoother with Multiple Data Assimilation: A Comparative Study. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/154226.

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

Council of Science Editors:

Xia X. History-Matching Production Data Using Ensemble Smoother with Multiple Data Assimilation: A Comparative Study. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154226

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


Texas A&M University

15. Rahman, Shahina. Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies.

Degree: 2015, Texas A&M University

 Regression Analysis is one of the most important tools of statistics which is widely used in other scientific fields for projection and modeling of association… (more)

Subjects/Keywords: Bayesian Methods; Case-control; Dirichlet Process of Mixture Model; Efficiency; Heteroscedasticity; Kernel estimation; Nonparametric; P-splines; Robust; Secondary Analysis; Semiparametric; Single-Index Model

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APA (6th Edition):

Rahman, S. (2015). Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155719

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

Chicago Manual of Style (16th Edition):

Rahman, Shahina. “Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies.” 2015. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/155719.

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

MLA Handbook (7th Edition):

Rahman, Shahina. “Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies.” 2015. Web. 16 Oct 2019.

Vancouver:

Rahman S. Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/155719.

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

Council of Science Editors:

Rahman S. Efficient Nonparametric and Semiparametric Regression Methods with application in Case-Control Studies. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155719

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


Texas A&M University

16. Wei, Rubin. Highly Nonlinear Measurement Error Models in Nutritional Epidemiology.

Degree: 2014, Texas A&M University

 This dissertation consists of two main projects in the area of measurement error models with application in nutritional epidemiology. The first project studies the application… (more)

Subjects/Keywords: Measurement error; Berkson-type error; Latent variable models; Moment reconstruction; Bayesian methods; Hard zeroes; Zero-inflation; Mixed models; Nutritional epidemiology; Usual intake; Never-consumers

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APA (6th Edition):

Wei, R. (2014). Highly Nonlinear Measurement Error Models in Nutritional Epidemiology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161236

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

Chicago Manual of Style (16th Edition):

Wei, Rubin. “Highly Nonlinear Measurement Error Models in Nutritional Epidemiology.” 2014. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/161236.

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

MLA Handbook (7th Edition):

Wei, Rubin. “Highly Nonlinear Measurement Error Models in Nutritional Epidemiology.” 2014. Web. 16 Oct 2019.

Vancouver:

Wei R. Highly Nonlinear Measurement Error Models in Nutritional Epidemiology. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/161236.

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

Council of Science Editors:

Wei R. Highly Nonlinear Measurement Error Models in Nutritional Epidemiology. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/161236

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


Texas A&M University

17. Cho, Jung Jin. On the robustness of clustered sensor networks.

Degree: 2009, Texas A&M University

 Smart devices with multiple on-board sensors, networked through wired or wireless links, are distributed in physical systems and environments. Broad applications of such sensor networks… (more)

Subjects/Keywords: Robustness; Sensor Network; Matroid; Cogirth; Breakdown Point; Robust Estimation

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APA (6th Edition):

Cho, J. J. (2009). On the robustness of clustered sensor networks. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2527

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

Chicago Manual of Style (16th Edition):

Cho, Jung Jin. “On the robustness of clustered sensor networks.” 2009. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2527.

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

MLA Handbook (7th Edition):

Cho, Jung Jin. “On the robustness of clustered sensor networks.” 2009. Web. 16 Oct 2019.

Vancouver:

Cho JJ. On the robustness of clustered sensor networks. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2527.

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

Council of Science Editors:

Cho JJ. On the robustness of clustered sensor networks. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2527

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


Texas A&M University

18. Dostert, Paul Francis. Uncertainty quantification using multiscale methods for porous media flows.

Degree: 2009, Texas A&M University

 In this dissertation we discuss numerical methods used for uncertainty quantifi- cation applications to flow in porous media. We consider stochastic flow equations that contain… (more)

Subjects/Keywords: Upscaling; MCMC

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APA (6th Edition):

Dostert, P. F. (2009). Uncertainty quantification using multiscale methods for porous media flows. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2532

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

Chicago Manual of Style (16th Edition):

Dostert, Paul Francis. “Uncertainty quantification using multiscale methods for porous media flows.” 2009. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2532.

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

MLA Handbook (7th Edition):

Dostert, Paul Francis. “Uncertainty quantification using multiscale methods for porous media flows.” 2009. Web. 16 Oct 2019.

Vancouver:

Dostert PF. Uncertainty quantification using multiscale methods for porous media flows. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2532.

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

Council of Science Editors:

Dostert PF. Uncertainty quantification using multiscale methods for porous media flows. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2532

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


Texas A&M University

19. Lobach, Iryna. Case-control studies of genetic and environmental factors with error in measurement of environmental factors.

Degree: 2009, Texas A&M University

 It is widely believed that risks of many complex diseases are determined by genetic susceptibilities, including environmental exposures, and their interaction. Chatterjee and Carroll (2005)… (more)

Subjects/Keywords: Case-control studies; gene-environment interactions

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APA (6th Edition):

Lobach, I. (2009). Case-control studies of genetic and environmental factors with error in measurement of environmental factors. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1026

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

Chicago Manual of Style (16th Edition):

Lobach, Iryna. “Case-control studies of genetic and environmental factors with error in measurement of environmental factors.” 2009. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1026.

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

MLA Handbook (7th Edition):

Lobach, Iryna. “Case-control studies of genetic and environmental factors with error in measurement of environmental factors.” 2009. Web. 16 Oct 2019.

Vancouver:

Lobach I. Case-control studies of genetic and environmental factors with error in measurement of environmental factors. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1026.

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

Council of Science Editors:

Lobach I. Case-control studies of genetic and environmental factors with error in measurement of environmental factors. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1026

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


Texas A&M University

20. Gold, David L. Bayesian learning in bioinformatics.

Degree: 2009, Texas A&M University

 Life sciences research is advancing in breadth and scope, affecting many areas of life including medical care and government policy. The field of Bioinformatics, in… (more)

Subjects/Keywords: Bayesian; Bioinformatics

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APA (6th Edition):

Gold, D. L. (2009). Bayesian learning in bioinformatics. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1624

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

Chicago Manual of Style (16th Edition):

Gold, David L. “Bayesian learning in bioinformatics.” 2009. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1624.

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

MLA Handbook (7th Edition):

Gold, David L. “Bayesian learning in bioinformatics.” 2009. Web. 16 Oct 2019.

Vancouver:

Gold DL. Bayesian learning in bioinformatics. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1624.

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

Council of Science Editors:

Gold DL. Bayesian learning in bioinformatics. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1624

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


Texas A&M University

21. Devegowda, Deepak. Streamline Assisted Ensemble Kalman Filter - Formulation and Field Application.

Degree: 2010, Texas A&M University

 The goal of any data assimilation or history matching algorithm is to enable better reservoir management decisions through the construction of reliable reservoir performance models… (more)

Subjects/Keywords: EnKF; Data Assimilation; Covariance Localization; Reservoir Characterization; Streamlines

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APA (6th Edition):

Devegowda, D. (2010). Streamline Assisted Ensemble Kalman Filter - Formulation and Field Application. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-2916

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

Chicago Manual of Style (16th Edition):

Devegowda, Deepak. “Streamline Assisted Ensemble Kalman Filter - Formulation and Field Application.” 2010. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-2916.

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

MLA Handbook (7th Edition):

Devegowda, Deepak. “Streamline Assisted Ensemble Kalman Filter - Formulation and Field Application.” 2010. Web. 16 Oct 2019.

Vancouver:

Devegowda D. Streamline Assisted Ensemble Kalman Filter - Formulation and Field Application. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-2916.

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

Council of Science Editors:

Devegowda D. Streamline Assisted Ensemble Kalman Filter - Formulation and Field Application. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-2916

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


Texas A&M University

22. Ghosh, Souparno. Copula Based Hierarchical Bayesian Models.

Degree: 2010, Texas A&M University

 The main objective of our study is to employ copula methodology to develop Bayesian hierarchical models to study the dependencies exhibited by temporal, spatial and… (more)

Subjects/Keywords: Hierarchical model; Copula; Geostatistics; Extreme value processes

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APA (6th Edition):

Ghosh, S. (2010). Copula Based Hierarchical Bayesian Models. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7160

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

Chicago Manual of Style (16th Edition):

Ghosh, Souparno. “Copula Based Hierarchical Bayesian Models.” 2010. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7160.

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

MLA Handbook (7th Edition):

Ghosh, Souparno. “Copula Based Hierarchical Bayesian Models.” 2010. Web. 16 Oct 2019.

Vancouver:

Ghosh S. Copula Based Hierarchical Bayesian Models. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7160.

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

Council of Science Editors:

Ghosh S. Copula Based Hierarchical Bayesian Models. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7160

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


Texas A&M University

23. Talluri, Rajesh. Bayesian Gaussian Graphical models using sparse selection priors and their mixtures.

Degree: 2012, Texas A&M University

 We propose Bayesian methods for estimating the precision matrix in Gaussian graphical models. The methods lead to sparse and adaptively shrunk estimators of the precision… (more)

Subjects/Keywords: Bayesian; Gaussian Graphical Models; Covariance Selection; Mixture Models

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APA (6th Edition):

Talluri, R. (2012). Bayesian Gaussian Graphical models using sparse selection priors and their mixtures. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828

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

Chicago Manual of Style (16th Edition):

Talluri, Rajesh. “Bayesian Gaussian Graphical models using sparse selection priors and their mixtures.” 2012. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828.

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

MLA Handbook (7th Edition):

Talluri, Rajesh. “Bayesian Gaussian Graphical models using sparse selection priors and their mixtures.” 2012. Web. 16 Oct 2019.

Vancouver:

Talluri R. Bayesian Gaussian Graphical models using sparse selection priors and their mixtures. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828.

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

Council of Science Editors:

Talluri R. Bayesian Gaussian Graphical models using sparse selection priors and their mixtures. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9828

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


Texas A&M University

24. Xia, Haifeng. Bayesian Hierarchical Model for Combining Two-resolution Metrology Data.

Degree: 2010, Texas A&M University

 This dissertation presents a Bayesian hierarchical model to combine two-resolution metrology data for inspecting the geometric quality of manufactured parts. The high- resolution data points… (more)

Subjects/Keywords: Bayesian hierarchical model; Bayesian model averaging; Data combining; Gaussian process; Misalignment; Two-resolution data

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APA (6th Edition):

Xia, H. (2010). Bayesian Hierarchical Model for Combining Two-resolution Metrology Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-164

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

Chicago Manual of Style (16th Edition):

Xia, Haifeng. “Bayesian Hierarchical Model for Combining Two-resolution Metrology Data.” 2010. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-164.

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

MLA Handbook (7th Edition):

Xia, Haifeng. “Bayesian Hierarchical Model for Combining Two-resolution Metrology Data.” 2010. Web. 16 Oct 2019.

Vancouver:

Xia H. Bayesian Hierarchical Model for Combining Two-resolution Metrology Data. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-164.

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

Council of Science Editors:

Xia H. Bayesian Hierarchical Model for Combining Two-resolution Metrology Data. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-164

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


Texas A&M University

25. Hetzler, Adam C. Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.

Degree: 2013, Texas A&M University

 This research presents new physics-based methods to estimate predictive uncertainty stemming from uncertainty in the material opacities in radiative transfer computations of key quantities of… (more)

Subjects/Keywords: Uncertainty Quantification; Sensitivity Analysis

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APA (6th Edition):

Hetzler, A. C. (2013). Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149343

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

Chicago Manual of Style (16th Edition):

Hetzler, Adam C. “Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.” 2013. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/149343.

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

MLA Handbook (7th Edition):

Hetzler, Adam C. “Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem.” 2013. Web. 16 Oct 2019.

Vancouver:

Hetzler AC. Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/149343.

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

Council of Science Editors:

Hetzler AC. Quantification of Uncertainties Due to Opacities in a Laser-Driven Radiative-Shock Problem. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149343

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


Texas A&M University

26. Stripling, Hayes Franklin. Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.

Degree: 2013, Texas A&M University

 Depletion calculations for nuclear reactors model the dynamic coupling between the material composition and neutron flux and help predict reactor performance and safety characteristics. In… (more)

Subjects/Keywords: Adjoint; Sensitivity Analysis; Uncertainty Quantification; Depletion Calculations

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APA (6th Edition):

Stripling, H. F. (2013). Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151312

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

Chicago Manual of Style (16th Edition):

Stripling, Hayes Franklin. “Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.” 2013. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/151312.

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

MLA Handbook (7th Edition):

Stripling, Hayes Franklin. “Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations.” 2013. Web. 16 Oct 2019.

Vancouver:

Stripling HF. Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/151312.

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

Council of Science Editors:

Stripling HF. Adjoint-Based Uncertainty Quantification and Sensitivity Analysis for Reactor Depletion Calculations. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151312

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


Texas A&M University

27. Sarkar, Abhra. Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors.

Degree: 2014, Texas A&M University

 Although the literature on measurement error problems is quite extensive, solutions to even the most fundamental measurement error problems like density deconvolution and regression with… (more)

Subjects/Keywords: B-splines; Conditional heteroscedasticity; Density deconvolution; Dirichlet process; Latent factor analyzers; Measurement errors; Mixture models; Nutritional epidemiology; Regression with errors in covariates; Sparsity inducing priors

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APA (6th Edition):

Sarkar, A. (2014). Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153327

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

Chicago Manual of Style (16th Edition):

Sarkar, Abhra. “Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors.” 2014. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/153327.

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

MLA Handbook (7th Edition):

Sarkar, Abhra. “Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors.” 2014. Web. 16 Oct 2019.

Vancouver:

Sarkar A. Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/153327.

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

Council of Science Editors:

Sarkar A. Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153327

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


Texas A&M University

28. Goddard, Scott D. Restricted Most Powerful Bayesian Tests.

Degree: 2015, Texas A&M University

 Uniformly most powerful Bayesian tests (UMPBTs) are defined to be Bayesian tests that maximize the probability that the Bayes factor against a fixed null hypothesis… (more)

Subjects/Keywords: Hypothesis tests; g prior; UMPBT; Bayesian variable selection

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

APA (6th Edition):

Goddard, S. D. (2015). Restricted Most Powerful Bayesian Tests. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155108

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

Chicago Manual of Style (16th Edition):

Goddard, Scott D. “Restricted Most Powerful Bayesian Tests.” 2015. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/155108.

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

MLA Handbook (7th Edition):

Goddard, Scott D. “Restricted Most Powerful Bayesian Tests.” 2015. Web. 16 Oct 2019.

Vancouver:

Goddard SD. Restricted Most Powerful Bayesian Tests. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/155108.

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

Council of Science Editors:

Goddard SD. Restricted Most Powerful Bayesian Tests. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155108

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


Texas A&M University

29. Alahmadi, Hasan Ali H. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.

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

 An energy producer must determine optimal energy investment strategies in order to maximize the value of its energy portfolio. Determining optimal investment strategies is challenging.… (more)

Subjects/Keywords: Energy Optimization; Uncertainty Quantification; Probabilistic Energy Modeling; Energy Economics

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

APA (6th Edition):

Alahmadi, H. A. H. (2016). A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157993

Chicago Manual of Style (16th Edition):

Alahmadi, Hasan Ali H. “A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.” 2016. Doctoral Dissertation, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/157993.

MLA Handbook (7th Edition):

Alahmadi, Hasan Ali H. “A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.” 2016. Web. 16 Oct 2019.

Vancouver:

Alahmadi HAH. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/157993.

Council of Science Editors:

Alahmadi HAH. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157993


Texas A&M University

30. Maity, Arnab. Efficient inference in general semiparametric regression models.

Degree: 2009, Texas A&M University

 Semiparametric regression has become very popular in the field of Statistics over the years. While on one hand more and more sophisticated models are being… (more)

Subjects/Keywords: Nonparametric/Semiparametric Regression; Kernel Method; Measurement Error; Semiparametric Efficiency; Repeated Measures

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

APA (6th Edition):

Maity, A. (2009). Efficient inference in general semiparametric regression models. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-3075

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

Chicago Manual of Style (16th Edition):

Maity, Arnab. “Efficient inference in general semiparametric regression models.” 2009. Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-3075.

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

MLA Handbook (7th Edition):

Maity, Arnab. “Efficient inference in general semiparametric regression models.” 2009. Web. 16 Oct 2019.

Vancouver:

Maity A. Efficient inference in general semiparametric regression models. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3075.

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

Council of Science Editors:

Maity A. Efficient inference in general semiparametric regression models. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3075

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

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