Method Of Types

Method of Types is a theoretical framework in information theory that classifies sequences according to their empirical distributions to analyze the probabilities of large deviations in stochastic processes.

Publications

554

Citations

Authors

Institutions

Publications per year

2017–2026

Parents

Typical Sequences

Publications

The method of types [information theory]

Imre Csiszár · IEEE Transactions on Information Theory · 1998 · 435 citations

Engineering, Electrical Engineering, Mathematics +17

Information and Knowledge: A Constructive Type-Theoretical Approach

History and Philosophy of Logic · 2009 · 65 citations

Computing, Information Systems, Information Design +11

On universal types

G. Seroussi · IEEE Transactions on Information Theory · 2005 · 30 citations

Computing, Computer Science, Mathematics +8

Concentration inequalities for the empirical distribution of discrete distributions: beyond the method of types

Jay Mardia, Jiantao Jiao, Ervin Tánczos et al. · Information and Inference A Journal of the IMA · 2019 · 24 citations

Natural Sciences, Mathematics, Probability Theory +13

1–4 of 4

Authors

TW
Tsachy Weissman
Stanford University, United States
1 publications · 24 citations
1
h-index
JJ
Jiantao Jiao
Stanford University, United States
1 publications · 24 citations
1
h-index
JM
Jay Mardia
Stanford University, United States
1 publications · 24 citations
1
h-index
GS
G. Seroussi
Hewlett-Packard (United States), United States
1 publications · 30 citations
1
h-index
IC
Imre Csiszár
Hungarian Academy of Sciences, Hungary
1 publications · 435 citations
1
h-index

1–5 of 7

Institutions

1–7 of 7

Venues

IEEE Transactions on Information Theory
2 publications · 465 citations
2
h-index
History and Philosophy of Logic
1 publications · 65 citations
1
h-index
Information and Inference A Journal of the IMA
1 publications · 24 citations
1
h-index

1–3