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Georgios Petropoulos (Massachusetts Institute of Technology)
Toulouse, 2023
Zoe Purcell et Jean-François Bonnefon
vol. 34, n° 2, 2023, p. 100–101
Amelia Fletcher (University of East Anglia - Norwich and ESRC Center for Competition Policy;Centre on Regulation in Europe (CERRE))
Christine Thomas-Agnan et Lukas Dargel
vol. 184, n° 4, 2023, p. 143– 151
Jay Pil Choi (Michigan State University)
Tony Ke
Koen Jochmans
vol. 14, 2023, p. 417–433
We consider point estimation and inference based on modifications of the profile likelihood in models for dyadic interactions between n agents featuring agent-specific parameters. The maximum-likelihood estimator of such models has bias and standard deviation of order n-1 and so is asymptotically...
Christopher Rieser, Anne Ruiz-Gazen et Christine Thomas-Agnan
vol. 72, décembre 2023, p. 762–773
We consider models for network-indexed multivariate data, also known as graph signals, involving a dependence between variables as well as across graph nodes. The dependence across nodes is typically established through the entries of the Laplacian matrix by imposing a distribution that relates the...
Ozlem Bedre Defolie (European School of Management and Technology (ESMT);CEPR)
Jean-François Bonnefon
vol. 46, n° e297, 2023
Puritanism may evolve into a technological variant based on norms of delegation of actions and perceptions to Artificial Intelligence. Instead of training self-control, people may be expected to cede their agency to self-controlled machines. The cost-benefit balance of this machine puritanism may...