Tianyang Wang

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This paper presents a general framework based on copulas for modeling dependent multivariate uncertainties through the use of a decision tree. The proposed dependent decision tree model allows multiple dependent uncertainties with arbitrary marginal distributions to be represented in a decision tree with a sequence of conditional probability distributions.(More)
Intracellular pH plays an important role in the response to cancer invasion. We have designed and synthesized a series of new fluorescent probes (Superior LysoProbes) with the capacity to label acidic organelles and monitor lysosomal pH. Unlike commercially available fluorescent dyes, Superior LysoProbes are lysosome-specific and are highly stable. The use(More)
The studies of behavioral finance show that the cognitive bias plays an important role in investors' decision-making process. In this paper, we propose a new robust multi-period model for portfolio optimization that considers in-vestors' behavioral factors by introducing dynamically updated loss aversion parameters as well as a dynamic value function based(More)