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Semantic Scholar uses AI to extract papers important to this topic.

2017

2017

- Pierre Nyquist
- J. Applied Probability
- 2017

Importance sampling has become an important tool for the computation of extreme quantiles and tail-based risk measures. For… Expand

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2016

2016

- Daniel Lacker
- 2016

This work is devoted to a vast extension of Sanov's theorem, in Laplace principle form, based on alternatives to the classical… Expand

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2015

2015

In this paper, we consider the statistics of repeated measurements on the output of a quantum Markov chain. We establish a large… Expand

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2014

2014

- Janis Noetzel
- ArXiv
- 2014

We report a proof of the quantum Sanov theorem by the elementary application of basic facts about representations of the… Expand

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2013

Highly Cited

2009

Highly Cited

2009

- I. C. Paschalidis, Georgios Smaragdakis
- IEEE/ACM Transactions on Networking
- 2009

We introduce an Internet traffic anomaly detection mechanism based on large deviations results for empirical measures. Using past… Expand

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2009

2009

Multiplicity assignments for algebraic soft-decoding of Reed-Solomon codes using the method of types

- Hirakendu Das, Alexander Vardy
- IEEE International Symposium on Information…
- 2009

The probability of error in the Koetter-Vardy algebraic soft-decoding algorithm for Reed-Solomon codes is determined by the… Expand

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2003

2003

- R. Gupta, Alfred O. Hero
- IEEE Trans. Information Theory
- 2003

We investigate high-rate quantization for various detection and reconstruction loss criteria. A new distortion measure is… Expand

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2000

2000

- Anton Amann
- 2000

The physical concept of entropy as it is used in thermodynamics is related to the mathematical formulation of a Shannon entropy… Expand

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1987

1987

- James A. Bucklew
- IEEE Trans. Information Theory
- 1987

A proof of Shannon's source coding theorem is given using results from large deviation theory. In particular Sanov's theorem on… Expand

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