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Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist
Daniel J. Eck,
Charles J. Geyer
Statistics (Twin Cities)
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Article
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peer-review
1
Scopus citations
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Dive into the research topics of 'Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist'. Together they form a unique fingerprint.
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Mathematics
Likelihood Inference
79%
Exponential Family
68%
Maximum Likelihood Estimator
56%
Completion
43%
Methodology
23%
Likelihood
20%
Statistic
14%
Fisher Information Matrix
9%
Convergence Criteria
9%
Fisher Information
9%
Cumulants
9%
Degeneracy
8%
Linear Program
8%
Likelihood Function
8%
Mean Value
7%
Statistical Inference
7%
Text
7%
Eigenvector
7%
Null
7%
Maximum Likelihood
7%
Nonexistence
6%
Generating Function
6%
Confidence interval
6%
Context
4%
Demonstrate
4%
Business & Economics
Exponential Family
100%
Maximum Likelihood Estimator
76%
Inference
53%
Fisher Information
24%
Methodology
16%
Cumulants
12%
Statistics
11%
Confidence Interval
11%
Convergence Criteria
11%
Statistical Inference
11%
Generating Function
10%
Linear Program
9%
Maximum Likelihood
8%
Matrix
7%