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1.
Generalized fiducial inference for mixed linear models
by Cisewski, Jessica, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 151 pages; 3512608.
3.
Inferences on Gamma Distributions: Uncensored and Censored Cases
by Wang, Xiao, Ph.D.  University of Louisiana at Lafayette. 2017: 82 pages; 10270446.
4.
Statistical inference procedure for step-stress accelerated life testing models
by Lee, Jinsuk, Ph.D.  Arizona State University. 2008: 113 pages; 3338480.
5.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
6.
Measurement of mu neutrino disappearance in the K2K experiment with an expanded fiducial volume at Super-Kamiokande
by Terri, Ryan Vincent, Ph.D.  State University of New York at Stony Brook. 2007: 203 pages; 3337618.
7.
The Method of Batch Inference for Multivariate Diffusions
by Lysy, Martin, Ph.D.  Harvard University. 2012: 120 pages; 3495622.
9.
Unsupervised linguistic inference
by Lamar, Michael T., Ph.D.  Brown University. 2010: 165 pages; 3430192.
10.
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.
11.
Secure Distributed Inference
by Chen, Yuan, Ph.D.  Carnegie Mellon University. 2019: 169 pages; 13883829.
12.
Advances in Weak Identification and Robust Inference for Generically Identified Models
by Cox, Gregory Fletcher, Ph.D.  Yale University. 2017: 306 pages; 10633240.
13.
Information theoretic approaches towards regulatory network inference
by Chaitankar, VIjender, Ph.D.  Virginia Commonwealth University. 2012: 125 pages; 3550865.
14.
Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
16.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
18.
Latent Variable Modeling and Causal Inference in Population-Structured Genetics
by Cabreros, Irineo C., Ph.D.  Princeton University. 2020: 219 pages; 27546470.
19.
Mechanical Inference in Dynamic Ecosystems
by Langendorf, R. E., Ph.D.  University of Colorado at Boulder. 2018: 138 pages; 10792156.
20.
Robust Inference and Group Sequential Methods in Discrete Hazard Models
by Nguyen, Vinh Quang, Ph.D.  University of California, Irvine. 2011: 204 pages; 3477976.
21.
Topics in model-based population inference
by Schutt, Rachel, Ph.D.  Columbia University. 2010: 158 pages; 3400625.
22.
Generalized multiple indicators, multiple causes measurement error models
by Tekwe, Carmen D., Ph.D.  State University of New York at Buffalo. 2011: 291 pages; 3440352.
23.
Selected Topics on Statistical Methods for Three and Multiple Class Diagnostic Studies
by Dong, Tuochuan, Ph.D.  State University of New York at Buffalo. 2014: 149 pages; 3629710.
24.
Robot Self-Modeling
by Hart, Justin Wildrick, Ph.D.  Yale University. 2014: 216 pages; 3582284.
25.
Conditional modeling and conditional inference
by Chang, Lo-Bin, Ph.D.  Brown University. 2010: 199 pages; 3430173.
26.
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.
29.
Performance analysis and inference of communication networks
by Ni, Jian, Ph.D.  Yale University. 2008: 178 pages; 3342752.
30.
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.
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