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1.
Dynamic Gaussian Process Models for Model Predictive Control of Vehicle Roll
by Broderick, David J., Ph.D.  Auburn University. 2012: 121 pages; 3520452.
2.
Three Applications of Gaussian Process Modeling in Evaluation of Longevity Risk Management
by Risk, James Kenneth, Ph.D.  University of California, Santa Barbara. 2017: 245 pages; 10620897.
3.
Automating the process of antibiotic susceptibility testing
by Naik, Meghana, M.S.  California State University, Long Beach. 2017: 49 pages; 10253001.
4.
Total variation of Gaussian processes and local times of associated Lévy processes
by Lovell, Jonathan R., Ph.D.  City University of New York. 2009: 71 pages; 3354729.
7.
Single-Molecule Studies of Rad4-Rad23 Reveal a Dynamic DNA Damage Recognition Process
by Kong, Muwen, Ph.D.  University of Pittsburgh. 2017: 205 pages; 10692541.
8.
Transfer Learning for Characterization of Small Unmanned Aircraft Communication
by Wagle, Neeti, Ph.D.  University of Colorado at Boulder. 2015: 145 pages; 3704832.
9.
A Probabilistic Biomarker for Alzheimer's Disease
by Ayhan, Murat Seckin, Ph.D.  University of Louisiana at Lafayette. 2015: 103 pages; 10002384.
10.
Three Econometric Essays on Continuous Time Models
by Wang, Xiaohu, Ph.D.  Singapore Management University (Singapore). 2012: 139 pages; 3539463.
11.
Design and Detection Process in Chipless RFID Systems Based on a Space-Time-Frequency Technique
by Rezaiesarlak, Reza, Ph.D.  Virginia Polytechnic Institute and State University. 2015: 205 pages; 10647626.
12.
15.
Synthetic collateral debt obligation pricing
by Zhanyong, Liu, M.Sc.  Singapore Management University (Singapore). 2007: 74 pages; 1483222.
16.
Photodynamics of a Fluorescent Tetrazolium Salt and Shaping of Femtosecond Laguerre-Gaussian Laser Modes in Time and Space
by Bolze, Tom, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2018: 121 pages; 10948508.
17.
Geometric representations and deep Gaussian conditional random field networks for computer vision
by Vemulapalli, Raviteja, Ph.D.  University of Maryland, College Park. 2016: 185 pages; 10192530.
18.
Etchless Core-Definition Process for the Realization of Low Loss Glass Waveguides
by John, Demis D., Ph.D.  University of California, Santa Barbara. 2012: 318 pages; 3540189.
19.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
21.
Robust Inference and Network Analysis for Non-Gaussian Gene-Expression Data
by Specht, Alicia T., Ph.D.  University of Notre Dame. 2017: 126 pages; 13836379.
24.
Optimization of Metrological Characterization of Machining Distortions
by Garcia, Destiny R., Ph.D.  University of California, Davis. 2020: 204 pages; 27667737.
25.
Semiparametric Bayesian modeling of density dependence
by Sugeno, Masatoshi, Ph.D.  State University of New York at Stony Brook. 2012: 110 pages; 3517599.
26.
Novel Thawed Gaussian Methods for Solving Time-Dependent Schrödinger Equation
by Kong, Xiangmeng, Ph.D.  Yale University. 2017: 74 pages; 10633253.
27.
Prediction of Air Pollutant from Poultry Houses by a Modified Gaussian Plume Model
by Yang, Zijiang, M.S.  University of Maryland, College Park. 2017: 197 pages; 10600945.
28.
Prediction for the Change of the Concentration of Radioactive Gas Using Particle Filtering Method
by Jiang, Yichen, M.S.  State University of New York at Binghamton. 2017: 88 pages; 10620833.
29.
Uncertainty Aggregation in System Performance Assessment
by Nannapanemi, Saideep, Ph.D.  Vanderbilt University. 2017: 188 pages; 13835161.
30.
Gestión emprendedora de líderes educativos en educación superior, e influencia de su trasfondo en la gestión
by Hernández-Belaval, Alex, Ed.D.  University of Puerto Rico, Rio Piedras (Puerto Rico). 2020: 263 pages; 28000418.
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