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Sampling strategies for conditional inference on multigraphs
Robert D. Eisinger,
Yuguo Chen
Statistics
Information Trust Institute
Coordinated Science Lab
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peer-review
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Keyphrases
Sampling Strategy
100%
Multigraph
100%
Conditional Inference
100%
Fixed Degree
33%
Excellent Performance
16%
Importance Sampling
16%
Test Statistic
16%
Markov Chain Monte Carlo Methods
16%
Sequential Importance Sampling
16%
Asymptotic Approximation
16%
Importance Weights
16%
Null Distribution
16%
Contingency Table
16%
Fixed Margin
16%
Mathematics
Multigraph
100%
Conditional Inference
100%
Total Number
33%
Approximates
16%
Test Statistic
16%
Markov Chain Monte Carlo Method
16%
Sequential Importance Sampling
16%
Null
16%
Contingency Table
16%
Asymptotic Approximation
16%