Theory of Probability and Its Applications
By Ronald H. Randles. 2005
79 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e341df3469bd55ff03f78af4303abc5528313ef3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Kanaka Rajan
- Haim Sompolinsky
- Joan Bruna
- L. F. Abbott
- Rafael Yuste
- Nicholas Carlini
- Yoshua Bengio
- Jason Aaron Edward Weston
In Statistics and Probability
Citations in the corpus
- Interactions between Intrinsic and Stimulus-Evoked Activity in Recurrent Neural Networks (2009, background): “A classic result of random matrix theory is that, for large N , the eigenvalues of an N×N asymmetric random matrix lie uniformly within a unit circle in the complex plane [10], if the elements are chosen from a distribution with zero mean and variance 1/N .”
- Scattering Representations for Recognition (2013, methodology): “In addition, [KR60] shows how to control the decay of the mixing coefficient α(τ).”
- Price Setting with Menu Cost for Multi-Product Firms (2012, unknown): “1 Introduction and Summary The “small” price changes observed in the micro data challenge a basic prediction of classic menu-cost models, such as e.g. Barro (1972), Dixit (1991), Golosov and Lucas (2007): when calibrated to yield infrequent price adjustment, as observed in the data, these models pre”