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1.
Performance analysis and inference of communication networks
by Ni, Jian, Ph.D.  Yale University. 2008: 178 pages; 3342752.
2.
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.
Secure Distributed Inference
by Chen, Yuan, Ph.D.  Carnegie Mellon University. 2019: 169 pages; 13883829.
4.
Unsupervised linguistic inference
by Lamar, Michael T., Ph.D.  Brown University. 2010: 165 pages; 3430192.
5.
Conditional modeling and conditional inference
by Chang, Lo-Bin, Ph.D.  Brown University. 2010: 199 pages; 3430173.
6.
Topics in model-based population inference
by Schutt, Rachel, Ph.D.  Columbia University. 2010: 158 pages; 3400625.
7.
Mechanical Inference in Dynamic Ecosystems
by Langendorf, R. E., Ph.D.  University of Colorado at Boulder. 2018: 138 pages; 10792156.
8.
Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
9.
Essays on Causal Inference in Randomized Experiments
by Lin, Winston, Ph.D.  University of California, Berkeley. 2013: 93 pages; 3593906.
10.
Landscape-based null models for archaeological inference
by Bocinsky, Ronald Kyle, Ph.D.  Washington State University. 2014: 216 pages; 3684754.
11.
Information theoretic approaches towards regulatory network inference
by Chaitankar, VIjender, Ph.D.  Virginia Commonwealth University. 2012: 125 pages; 3550865.
12.
The Method of Batch Inference for Multivariate Diffusions
by Lysy, Martin, Ph.D.  Harvard University. 2012: 120 pages; 3495622.
13.
Robust network inference with multivariate t-distributions
by Finegold, Michael A., Ph.D.  The University of Chicago. 2010: 94 pages; 3419771.
15.
Leveraging Haplotype-Based Inference to Describe Adaptation and Speciation
by Smith, Joel Haviland, Ph.D.  The University of Chicago. 2018: 168 pages; 10788183.
16.
Using and Manipulating Probabilistic Connectivity in Social Networks
by DuBois, Thomas, Ph.D.  University of Maryland, College Park. 2011: 194 pages; 3461511.
17.
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.
18.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
19.
Statistical inference procedure for step-stress accelerated life testing models
by Lee, Jinsuk, Ph.D.  Arizona State University. 2008: 113 pages; 3338480.
20.
Automated Inference of Shilling Behavior in Online Auction Systems
by Dong, Fei, Ph.D.  University of Illinois at Chicago. 2012: 92 pages; 3551864.
21.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
22.
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.
23.
Latent Variable Modeling and Causal Inference in Population-Structured Genetics
by Cabreros, Irineo C., Ph.D.  Princeton University. 2020: 219 pages; 27546470.
24.
Minimum Disparity Inference for Discrete Ranked Set Sampling Data
by Alexandridis, Roxana, Ph.D.  The Ohio State University. 2005: 137 pages; 10834940.
25.
Computational inference of genetic regulatory networks in human cancer cells
by Margolin, Adam Arne, Ph.D.  Columbia University. 2008: 282 pages; 3299359.
26.
Disease avoidance goals interfere with the spontaneous inference of traits
by McCarthy, Randy James, Ph.D.  Northern Illinois University. 2012: 199 pages; 3513143.
27.
Robust Inference and Group Sequential Methods in Discrete Hazard Models
by Nguyen, Vinh Quang, Ph.D.  University of California, Irvine. 2011: 204 pages; 3477976.
28.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
29.
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.
30.
Advances in Weak Identification and Robust Inference for Generically Identified Models
by Cox, Gregory Fletcher, Ph.D.  Yale University. 2017: 306 pages; 10633240.
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