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61.
Statistical inference procedure for step-stress accelerated life testing models
by Lee, Jinsuk, Ph.D.  Arizona State University. 2008: 113 pages; 3338480.
62.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
63.
Randomization inference and principal stratification in HIV prevention studies
by Nolen, Tracy L., Dr.P.H.  The University of North Carolina at Chapel Hill. 2012: 111 pages; 3512798.
64.
Leveraging Haplotype-Based Inference to Describe Adaptation and Speciation
by Smith, Joel Haviland, Ph.D.  The University of Chicago. 2018: 168 pages; 10788183.
65.
Robust Inference and Group Sequential Methods in Discrete Hazard Models
by Nguyen, Vinh Quang, Ph.D.  University of California, Irvine. 2011: 204 pages; 3477976.
66.
Learning and inference algorithms for dynamical system models of dextrous motion
by Varadarajan, Balakrishnan, Ph.D.  The Johns Hopkins University. 2011: 169 pages; 3496153.
67.
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.
68.
Deep Learning for Attribute Inference, Parsing, and Recognition of Face
by Luo, Ping, Ph.D.  The Chinese University of Hong Kong (Hong Kong). 2014: 122 pages; 3691916.
70.
The Role of Scale in Ecological Inference: Implications for Interpreting Hominin Paleoecology
by Du, Andrew, Ph.D.  The George Washington University. 2017: 221 pages; 10252703.
72.
Practical Inference-Time Attacks against Machine-Learning Systems and a Defense against Them
by Sharif, Mahmood, Ph.D.  Carnegie Mellon University. 2019: 137 pages; 27662625.
74.
Optimal Subset Selection for Causal Inference Using Machine Learning and Particle Swarm Optimization
by Sharma, Dhruv, D.Engr.  The George Washington University. 2018: 132 pages; 10928545.
81.
The Argument from Beauty: An Inference to the Best Explanation for the Properties and Phenomenon of Beauty
by James, Rick Davy, Ph.D.  Southeastern Baptist Theological Seminary. 2018: 310 pages; 13419356.
82.
Unsupervised Learning under Uncertainty
by Mathieu, MichaĆ«l, Ph.D.  New York University. 2017: 159 pages; 10261120.
86.
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods
by Huang, Furong, Ph.D.  University of California, Irvine. 2016: 261 pages; 10125323.
87.
Bayesian Modeling for fMRI Brain Activation and Connectivity
by Yu, Zhe, Ph.D.  University of California, Irvine. 2015: 155 pages; 3717133.
61 - 90 of 8162 displayed.
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