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The emerging sharing economy is fueled by products that some consumers buy new. This paper introduces an overlapping-generations model to analyze consumers' consumption choices and the equilibrium in the sharing market. We derive a retailer's optimal prici ...
Marco Bakker and Alexandre Blanc established their architectural firm, BABL Bakker & Blanc architectes associés, in Switzerland in 1992. At their offices in Lausanne and Zurich, they develop designs that are modest yet reflect the high demands of the built ...
Innovation in the public sector is the only possible response to fine-tune welfare services to new and changing demands and overcome policy impasses (Halmos et al., 2019; Misuraca & Colombo, 2016; Misuraca & Viscusi, 2015). According to a growing evidence, ...
Demand information is an input for a great deal of operations research models. Assumed as given in many problem instances addressed in the literature, demand data are difficult to generate. In this tutorial, we provide an introduction to disaggregate deman ...
Performance and reliability are important yet conflicting properties of systems software. Software today often crashes, has security vulnerabilities and data loss, while many techniques that could address such issues remain unused due to performance concer ...
EPFL2017
In the face of demand uncertainty, a monopolist can observe sales as a controlled reaction to its price and advertising so as to improve the choice of this marketing mix in the future. Furthermore, to upgrade its knowledge about demand the firm has the opt ...
2019
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This paper is a discussion of a recent publication by Sekkal and coworkers, which investigated the elasticity, cohesion, and stability of the C-S-H (001) surface as a function of porosity using molecular dynamics simulations. In our discussion, we highligh ...
Location-aware data collection technologies provide new insights about location choices. Only a few dynamic models of location choice exist in scientific literature. To our knowledge, none of them correct for serial correlation. In this paper, we model cho ...
We study an optimization program over nonnegative Borel measures that encourages sparsity in its solution. Efficient solvers for this program are in increasing demand, as it arises when learning from data generated by a "continuum-of-subspaces" model, a re ...
We integrate a probabilistic demand model in the train timetabling problem. We use a logit model that we calibrate to reflect the known demand elasticities. We further include a competing operator as an opt-out option for the passengers. Subsequently, we i ...