Publication
Innovation and Market Structure in Pharmaceuticals: An Econometric Analysis on Simulated Data
Related publications (41)
Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations
Christoph Koch, Peter Lindner, Zilu Tian, Val Tannen
We generalize the bulk-synchronous parallel (BSP) processing model to make it better support agent-based simulations. Such simulations frequently exhibit hierarchical structure in their communication patterns which can be exploited to improve performance. ...
2023Dataset for the article "Frequency regulation with storage: On losses and profits"
Daniel Kuhn, François Richard Vuille, Dirk Lauinger
This dataset complements the article "Frequency regulation with storage: On losses and profits" by Dirk Lauinger, François Vuille, and Daniel Kuhn, available at https://arxiv.org/abs/2306.02987. The dataset contains the following files: 1.
Zenodo2023AI-driven Prices for Externalities and Sustainability in Production Markets
Boi Faltings, Aris Filos Ratsikas, Panayiotis Danassis
Traditional competitive markets do not account for negative externalities; indirect costs that some participants impose on others, such as the cost of over-appropriating a common-pool resource (which diminishes future stock, and thus harvest, for everyone) ...
Cornell University2023Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations
Agent-based simulations have been widely applied in many disciplines, by scientists and engineers alike. Scientists use agent-based simulations to tackle global problems, including alleviating poverty, reducing violence, and predicting the impact of pandem ...
EPFL2023EAST discharge prediction without integrating simulation results (vol 62, 126060, 2022)
Alessandro Pau, Xiaojuan Liu, Chenguang Wan
In the published paper titled 'EAST discharge prediction without integrating simulation results' (2022 Nucl. Fusion 62 126060), figure 5 used the wrong plot, and is not matched with table 3. We used the plot discussed with referees, the case when we do not ...
Bristol2023Optimization and equilibrium problems with discrete choice models
Many transportation markets are characterized by oligopolistic competition. In these markets customers, suppliers and regulators make decisions that are influenced by the preferences and the decisions of all other agents. In particular, capturing and under ...
EPFL2022Essays on the Economics of Innovation: Incentives, Diffusion, and Disparity
As an important policy instrument for guiding innovation, the patent system involves a long-standing tension between creating economic rewards for the original innovators and stifling subsequent R&D activities. The availability of new data allows us to pr ...
EPFL2021Price-based regulation of oligopolistic markets under discrete choice models of demand
Michel Bierlaire, Virginie Janine Camille Lurkin, Stefano Bortolomiol
We propose a framework to find optimal price-based policies to regulate markets characterized by oligopolistic competition and in which consumers make a discrete choice among a finite set of alternatives. The framework accommodates general discrete choice ...
2021Price-based regulation of oligopolistic markets under discrete choice models of demand
Michel Bierlaire, Virginie Janine Camille Lurkin, Stefano Bortolomiol
We propose a framework to find optimal price-based policies to regulate markets characterized by oligopolistic competition and in which consumers make a discrete choice among a finite set of alternatives. With this framework, we can include general discret ...
EPFL2021Glutamine-to-glutamate ratio in the nucleus accumbens predicts effort-based motivated performance in humans
Rolf Gruetter, Maria del Carmen Sandi Perez, Lijing Xin, Gediminas Luksys, Alina Veronika Irene Strasser
Substantial evidence implicates the nucleus accumbens in motivated performance, but very little is known about the neurochemical underpinnings of individual differences in motivation. Here, we applied 1H magnetic resonance spectroscopy (1H-MRS) at ultra-hi ...
2020