Maximum likelihood thresholds via graph rigidity-Reference-Cited by-同舟云学术

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Maximum likelihood thresholds via graph rigidity

Published:2024-06-01 Issue:3 Volume:34 Page:
ISSN:1050-5164
Container-title:The Annals of Applied Probability
language:
Short-container-title:Ann. Appl. Probab.

Author:

Bernstein Daniel Irving¹,Dewar Sean²,Gortler Steven J.³,Nixon Anthony⁴,Sitharam Meera⁵,Theran Louis⁶

Affiliation:

1. Department of Mathematics, Tulane University

2. School of Mathematics, University of Bristol

3. School of Engineering and Applied Sciences, Harvard University

4. Department of Mathematics and Statistics, Lancaster University

5. Department of Computer Science, University of Florida

6. School of Mathematics and Statistics, University of St Andrews

Publisher

Institute of Mathematical Statistics

Reference64 articles.

1. Pittel, B., Spencer, J. and Wormald, N. (1996). Sudden emergence of a giant k-core in a random graph. J. Combin. Theory Ser. B 67 111–151.

2. UHLER, C. (2012). Geometry of maximum likelihood estimation in Gaussian graphical models. Ann. Statist. 40 238–261.

3. SCHÄFER, J. and STRIMMER, K. (2005). An empirical Bayes approach to inferring large-scale gene association networks. Bioinformatics 21 754–764.

4. Drton, M., Fox, C., Käufl, A. and Pouliot, G. (2019). The maximum likelihood threshold of a path diagram. Ann. Statist. 47 1536–1553.

5. Gross, E. and Sullivant, S. (2018). The maximum likelihood threshold of a graph. Bernoulli 24 386–407.

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