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1.
The Performance of Random Prototypes in Hierarchical Models of Vision
by Stewart, Kendall Lee, M.S.  Portland State University. 2015: 79 pages; 1605894.
2.
Structured hierarchical models for neurons in the early visual system
by Vintch, Brett, Ph.D.  New York University. 2013: 145 pages; 3591363.
3.
A Bayesian Hierarchical Model for Multiple Comparisons in Mixed Models
by Li, Qie, Ph.D.  Bowling Green State University. 2012: 127 pages; 10631144.
4.
Estimability of Time-Varying Natural Mortality in Groundfishes: Covariates and Hierarchical Models
by Ganz, Philip D., M.S.  University of Alaska Fairbanks. 2017: 62 pages; 10603964.
5.
Contra-hierarchical aggression among female rhesus macaques (Macaca mulatta)
by Seil, Shannon K., M.S.  University of California, Davis. 2014: 52 pages; 1585123.
7.
A latent growth analysis of hierarchical complexity and perspectival skills in adulthood
by Fuhs, Clinton J., Ph.D.  Fielding Graduate University. 2016: 352 pages; 10000443.
8.
Hierarchical Bayes estimation and empirical best prediction of small-area proportions
by Liu, Benmei, Ph.D.  University of Maryland, College Park. 2009: 223 pages; 3359401.
9.
Hierarchical constraints and the choices judges make: Judicial decision -making at the U.S. Courts of Appeals
by Mak, Maxwell H. H., Ph.D.  State University of New York at Stony Brook. 2009: 287 pages; 3401717.
10.
Hierarchical Reconstruction Method for Solving Ill-posed Linear Inverse Problems
by Zhong, Ming, Ph.D.  University of Maryland, College Park. 2016: 122 pages; 10128674.
11.
12.
A Comparative Study of IRT Models for Rater Effects and Double Scoring
by Song, Yoon Ah, Ph.D.  The University of Iowa. 2019: 168 pages; 22617490.
13.
Application of systems factorial technology and hierarchical Bayesian modeling to chunking in Working Memory
by Thiele, Jonathan, Ph.D.  University of Missouri - Columbia. 2015: 126 pages; 10178999.
16.
Using Polytomous Item Response Theory Models to Validate Learning Progressions
by Chattergoon, Rajendra, Ph.D.  University of Colorado at Boulder. 2020: 189 pages; 28153006.
20.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
21.
Integrating Exponential Dispersion Models to Latent Structures
by Basbug, Mehmet Emin, Ph.D.  Princeton University. 2017: 125 pages; 10254057.
22.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
23.
Hierarchical scheduling and uniform access programming frameworks for heterogeneous CPU-GPU computing clusters
by Sajjapongse, Kittisak, Ph.D.  University of Missouri - Columbia. 2015: 178 pages; 10178997.
26.
Probabilistic models of phase variables for visual representation and neural dynamics
by Cadieu, Charles, Ph.D.  University of California, Berkeley. 2009: 120 pages; 3402686.
27.
A hierarchical typology of children in elementary school using teacher ratings of behavior
by Mindrila, Diana L., Ph.D.  University of South Carolina. 2012: 119 pages; 3509539.
29.
Evidence for hierarchical control of conserved, discrete motility types in crawling motility
by Dubin-Thaler, Benjamin J., Ph.D.  Columbia University. 2008: 153 pages; 3299356.
30.
Statistical modeling with counts of bats
by Ingersoll, Thomas Eugene, Ph.D.  University of California, Berkeley. 2010: 115 pages; 3448989.
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