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We study mergers between firms operating in data-connected markets: the data generated as a byproduct of the activity in market A can be used by firms operating in market B. The effects of such a merger depend on whether data trade among independent firms is possible and whether data use benefits consumers or leads to more surplus extraction.
Alexandre de Cornière, Greg Taylor
openaire +2 more sources
Sensitivity analysis using data-driven parametric macromodels [PDF]
An accurate parametric macromodeling method which builds the parameterized frequency behavior of systems from frequency data samples is presented.
Chemmangat Manakkal Cheriya, Krishnan +3 more
core +2 more sources
Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis +9 more
wiley +1 more source
Data-driven gamification design [PDF]
Gamification has been attracted much interest, not only in the HCI community, in the last few years. However, there is still a lack of insights and theory on the relationships between game design elements, motivation, domain context and user behavior. In this workshop we want to discover the potentials of data-driven gamification design optimization, e.
Meder, Michael +3 more
openaire +2 more sources
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale +6 more
wiley +1 more source
The penalty in data driven Neyman's tests [PDF]
Data driven Neyman's tests are based on two elements: Neyman's smooth tests in finite dimensional submodels and a selection rule to choose the "right'' submodel. As selection rule usually (a modification of) Schwarz's rule is applied.
Kallenberg, W.C.M.
core +6 more sources
Data-driven structured realization [PDF]
We present a framework for constructing structured realizations of linear dynamical systems having transfer functions of the form $\widetilde{C}(\sum_{k=1}^K h_k(s)\widetilde{A}_k)^{-1}\widetilde{B}$ where $h_1, h_2, \ldots, h_K$ are prescribed functions that specify the surmised structure of the model. Our construction is data-driven in the sense that
Schulze, Philipp +3 more
openaire +5 more sources
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
Data-driven detection of multi-messenger transients
The primary challenge in the study of explosive astrophysical transients is their detection and characterisation using multiple messengers. For this purpose, we have developed a new data-driven discovery framework, based on deep learning.
Sadeh, Iftach
core +1 more source
Data-Driven Algorithm Design [PDF]
Chapter 29 of the book Beyond the Worst-Case Analysis of Algorithms, edited by Tim Roughgarden and published by Cambridge University Press (2020)
openaire +2 more sources

