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1.
Robust network inference with multivariate t-distributions
by Finegold, Michael A., Ph.D.  The University of Chicago. 2010: 94 pages; 3419771.
2.
Advances in Weak Identification and Robust Inference for Generically Identified Models
by Cox, Gregory Fletcher, Ph.D.  Yale University. 2017: 306 pages; 10633240.
3.
Robust Inference and Group Sequential Methods in Discrete Hazard Models
by Nguyen, Vinh Quang, Ph.D.  University of California, Irvine. 2011: 204 pages; 3477976.
4.
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.
5.
Robust and efficient inference of scene and object motion in multi-camera systems
by Sankaranarayanan, Aswin C., Ph.D.  University of Maryland, College Park. 2009: 181 pages; 3391385.
7.
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.
8.
Minimum Disparity Inference for Discrete Ranked Set Sampling Data
by Alexandridis, Roxana, Ph.D.  The Ohio State University. 2005: 137 pages; 10834940.
9.
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.
13.
Robust Estimation of Parametric Models for Insurance Loss Data
by Poudyal, Chudamani, Ph.D.  The University of Wisconsin - Milwaukee. 2018: 127 pages; 10829498.
14.
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.
15.
Essays on Causal Inference in Randomized Experiments
by Lin, Winston, Ph.D.  University of California, Berkeley. 2013: 93 pages; 3593906.
16.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
17.
Landscape-based null models for archaeological inference
by Bocinsky, Ronald Kyle, Ph.D.  Washington State University. 2014: 216 pages; 3684754.
18.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
19.
Unsupervised linguistic inference
by Lamar, Michael T., Ph.D.  Brown University. 2010: 165 pages; 3430192.
21.
Performance analysis and inference of communication networks
by Ni, Jian, Ph.D.  Yale University. 2008: 178 pages; 3342752.
23.
Mechanical Inference in Dynamic Ecosystems
by Langendorf, R. E., Ph.D.  University of Colorado at Boulder. 2018: 138 pages; 10792156.
25.
Information theoretic approaches towards regulatory network inference
by Chaitankar, VIjender, Ph.D.  Virginia Commonwealth University. 2012: 125 pages; 3550865.
26.
Disease avoidance goals interfere with the spontaneous inference of traits
by McCarthy, Randy James, Ph.D.  Northern Illinois University. 2012: 199 pages; 3513143.
28.
Using and Manipulating Probabilistic Connectivity in Social Networks
by DuBois, Thomas, Ph.D.  University of Maryland, College Park. 2011: 194 pages; 3461511.
29.
The Method of Batch Inference for Multivariate Diffusions
by Lysy, Martin, Ph.D.  Harvard University. 2012: 120 pages; 3495622.
30.
Conditional modeling and conditional inference
by Chang, Lo-Bin, Ph.D.  Brown University. 2010: 199 pages; 3430173.
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