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A class of logistic regression models for multivariate binary time series
Kung Yee Liang,
Scott L. Zeger
Bloomberg School of Public Health
Research output
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Contribution to journal
›
Article
›
peer-review
45
Scopus citations
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Dive into the research topics of 'A class of logistic regression models for multivariate binary time series'. Together they form a unique fingerprint.
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Mathematics
Logistic Regression Model
99%
Logistic Model
96%
Time series
74%
Binary
63%
Pseudo-likelihood
54%
Log-linear Models
51%
Maintenance
48%
Markov Model
45%
Health
43%
Marginal Distribution
43%
Conditional Distribution
42%
Logistics
42%
Random Vector
41%
Markov chain
34%
Equivalence
29%
Imply
26%
Formulation
26%
Series
25%
Class
24%
Family
19%
Business & Economics
Logistic Model
100%
Logistic Regression Model
96%
Markov Model
71%
Pseudo-likelihood
66%
Log-linear Models
60%
Conditional Distribution
50%
Markov Chain
45%
Equivalence
41%
Psychological
32%
Logistics
32%
Health
28%