Robust Learning of Consumer Preferences
This paper studies a class of ranking and selection problems faced by a company that wants to identify the most preferred product out of a finite set of alternatives when consumer preferences are a…
Dynamic Learning and Market Making in Spread Betting Markets with Informed Be…
We study the profit-maximization problem of a market maker in a spread betting market. In this market, the market maker quotes cutoff lines for the outcome of a certain future event as “prices,�…
High Sensitivity Distributed Static Strain Sensing Based on Differential Rela…
We present a novel distributed high sensitivity static strain sensing method based on differential relative phase in optical frequency domain reflectometry (OFDR). By performing two separate tests …
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