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Binary data
Known as:
Binary variable
, Binary random variable
, Dichotomized response variable
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Binary data is data whose unit can take on only two possible states, traditionally termed 0 and +1 in accordance with the binary numeral system and…
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Related topics
Related topics
50 relations
32-bit
Base36
Base58
Base64
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research
P. Austin
Communications in statistics. Simulation and…
2009
Corpus ID: 38337743
Researchers are increasingly using the standardized difference to compare the distribution of baseline covariates between…
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Highly Cited
2007
Highly Cited
2007
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
Onureena Banerjee
,
L. Ghaoui
,
A. d’Aspremont
Journal of machine learning research
2007
Corpus ID: 311
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting…
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Highly Cited
2007
Highly Cited
2007
Embracing wireless interference: analog network coding
S. Katti
,
Shyamnath Gollakota
,
D. Katabi
Conference on Applications, Technologies…
2007
Corpus ID: 6068551
Traditionally, interference is considered harmful. Wireless networks strive to avoid scheduling multiple transmissions at the…
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Highly Cited
2007
Highly Cited
2007
Some unique properties of eigenvector centrality
P. Bonacich
Soc. Networks
2007
Corpus ID: 14660833
Review
2003
Review
2003
Intra-class Correlation in Random-effects Models for Binary Data
G. Rodŕıguez
,
I. Elo
2003
Corpus ID: 46255390
We review the concept of intra-class correlation in random-effects models for binary outcomes as estimated by Stata's xtprobit…
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Highly Cited
2002
Highly Cited
2002
An examination of indexes for determining the number of clusters in binary data sets
E. Dimitriadou
,
S. Dolnicar
,
A. Weingessel
Psychometrika
2002
Corpus ID: 123090535
The problem of choosing the correct number of clusters is as old as cluster analysis itself. A number of authors have suggested…
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Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
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Highly Cited
1993
Highly Cited
1993
Modelling multivariate binary data with alternating logistic regressions
V. Carey
,
S. Zeger
,
P. Diggle
1993
Corpus ID: 119751985
Marginal models for multivariate binary data permit separate modelling of the relationship of the response with explanatory…
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Highly Cited
1993
Highly Cited
1993
Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1
C. Berrou
,
A. Glavieux
,
P. Thitimajshima
IEEE International Conference on Communications
1993
Corpus ID: 17770377
A new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the…
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Highly Cited
1993
Highly Cited
1993
Synchronization of Lorenz-based chaotic circuits with applications to communications
K. Cuomo
,
A. Oppenheim
,
S. Strogatz
1993
Corpus ID: 35630226
A circuit implementation of the chaotic Lorenz system is described. The chaotic behavior of the circuit closely matches the…
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