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Article
Guest Editorial: Special Issue in Memory of Mila Nikolova
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Article
Open AccessThe Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis
Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analys...
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Chapter and Conference Paper
Dynamic Directed Influence Networks: A Study of Campaigns on Twitter
Studying the flow of influence in social media can allow insight into the nature of the agents involved and the corresponding actions that they take. In this paper, we study the influence of content among soci...
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Chapter and Conference Paper
Socio-Spatial Pareto Frontiers of Twitter Networks
Social media provides a rich source of networked data. This data is represented by a set of nodes and a set of relations (edges). It is often possible to obtain or infer multiple types of relations from the sa...
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Chapter and Conference Paper
Multi-objective Optimization for Multi-level Networks
Social network analysis is a rich field with many practical applications like community formation and hub detection. Traditionally, we assume that edges in the network have homogeneous semantics, for instance,...
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Article
Space alternating penalized Kullback proximal point algorithms for maximizing likelihood with nondifferentiable penalty
The EM algorithm is a widely used methodology for penalized likelihood estimation. Provable monotonicity and convergence are the hallmarks of the EM algorithm and these properties are well established for smoo...
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Chapter and Conference Paper
On Solutions to Multivariate Maximum α-Entropy Problems
Entropy has been widely employed as an optimization function for problems in computer vision and pattern recognition. To gain insight into such methods it is important to characterize the behavior of the maxim...
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Chapter and Conference Paper
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that are based on a two-stage app...
