Results 11 to 20 of about 26,173,429 (328)
Sorting through Search and Matching Models in Economics
Hector Chade, J. Eeckhout, Lones Smith
semanticscholar +3 more sources
The Econometrics of Matching Models
P. Chiappori, B. Salanié
semanticscholar +3 more sources
Posterior Probability Matching and Human Perceptual Decision Making. [PDF]
Probability matching is a classic theory of decision making that was first developed in models of cognition. Posterior probability matching, a variant in which observers match their response probabilities to the posterior probability of each response ...
Richard F Murray +2 more
doaj +1 more source
Calibration and validation of matching functions for ride-sourcing markets
Ride-sourcing services have become increasingly important in meeting people's mobility needs since their emergence. Compared to traditional street-hailing taxi services, ride-sourcing services significantly reduce the matching frictions in the markets by
Shuqing Wei +3 more
doaj +1 more source
The asymptotic efficiency of indirect estimation methods, such as the efficient method of moments and indirect inference, depends on the choice of the auxiliary model. Up to date, this choice is somehow ad hoc and based on an educated guess of the researcher.
Barigozzi, Matteo +2 more
openaire +3 more sources
New models for donor-recipient matching in lung transplantations.
ObjectiveOne of the main problems of lung transplantation is the shortage of organs as well as reduced survival rates. In the absence of an international standardized model for lung donor-recipient allocation, we set out to develop such a model based on ...
J M Dueñas-Jurado +7 more
doaj +1 more source
Modelling the Rayleigh match [PDF]
We use the photopigment template of Baylor et al. (1987) to define the set of Rayleigh matches that would be satisfied by a photopigment having a given wavelength of peak sensitivity (λmax) and a given optical density (OD). For an observer with two photopigments in the region of the Rayleigh primaries, the observer's unique match is defined by the ...
P B M, Thomas, J D, Mollon
openaire +2 more sources
Matching and running sensitivity in non-renormalizable inflationary models
Most of the inflationary models that are in agreement with the Planck data rely on the presence of non-renormalizable operators. If the connection to low energy particle physics is made, the renormalization group (RG) introduces a sensitivity to ...
Jacopo Fumagalli +2 more
doaj +1 more source
LightGlue: Local Feature Matching at Light Speed [PDF]
We introduce LightGlue, a deep neural network that learns to match local features across images. We revisit multiple design decisions of SuperGlue, the state of the art in sparse matching, and derive simple but effective improvements.
Philipp Lindenberger +2 more
semanticscholar +1 more source
Deep entity matching with pre-trained language models [PDF]
We present Ditto, a novel entity matching system based on pre-trained Transformer-based language models. We fine-tune and cast EM as a sequence-pair classification problem to leverage such models with a simple architecture.
Yuliang Li +4 more
semanticscholar +1 more source

