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Now showing items 101-107 of 107
Asymptotically efficient estimators for geometric shape fitting and source localization
(University of Missouri--Columbia, 2013)
Solving the nonlinear estimation problem is known to be a challenging task because of the implicit relationship between the measurement data and the unknown parameters to be estimated. Iterative methods such as the ...
Decision theory and sampling algorithms for spatial and spatio-temporal point processes
(University of Missouri--Columbia, 2019)
In this work, we first present a flexible hierarchical Bayesian model and develop a comprehensive Bayesian decision theoretic framework for point process theory. Then, we provide a comparative study of the approximate ...
Reliability-based analysis of settlements of shallow foundations on cohesionless soils
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] Although settlements of foundations on cohesionless soils usually are small, it is important to be able to predict them because the primary issue in the design...
Predicting the structure and energetics of protein-ligand interaction
(University of Missouri--Columbia, 2019)
Molecular docking has been a crucial component and remains a highly active area in computer-aided drug design (CADD). In simple terms, molecular docking uses computer algorithms to identify the "best" match between two ...
Lines in the sand : navigating native advertising through magazine professionals' policies
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Informed by the persuasion knowledge model and advertising ethics theory, this research uses a representative case study to qualitatively analyze both (1) 176 native...