Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimation
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Zhang Bin & Horvath Steve, 2005. "A General Framework for Weighted Gene Co-Expression Network Analysis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 4(1), pages 1-45, August.
- Alberto Roverato & Robert Castelo, 2006. "Structural learning of Gaussian graphical models from microarray data with p larger than n," Statistica, Department of Statistics, University of Bologna, vol. 66(4), pages 343-372.
- Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
- Efron, Bradley, 2004. "Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 96-104, January.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Carel F. W. Peeters & Mark A. Wiel & Wessel N. Wieringen, 2020. "The spectral condition number plot for regularization parameter evaluation," Computational Statistics, Springer, vol. 35(2), pages 629-646, June.
- Minseog Oh & Donggyu Kim, 2024. "Property of Inverse Covariance Matrix-based Financial Adjacency Matrix for Detecting Local Groups," Papers 2412.05664, arXiv.org.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Sahra Uygun & Cheng Peng & Melissa D Lehti-Shiu & Robert L Last & Shin-Han Shiu, 2016. "Utility and Limitations of Using Gene Expression Data to Identify Functional Associations," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-27, December.
- Jong Victor L. & Novianti Putri W. & Roes Kit C.B. & Eijkemans Marinus J.C., 2014. "Exploring homogeneity of correlation structures of gene expression datasets within and between etiological disease categories," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 13(6), pages 717-732, December.
- Sipan Aslan & Ceylan Yozgatligil & Cem Iyigun, 2018. "Temporal clustering of time series via threshold autoregressive models: application to commodity prices," Annals of Operations Research, Springer, vol. 260(1), pages 51-77, January.
- Thiemo Fetzer & Samuel Marden, 2017.
"Take What You Can: Property Rights, Contestability and Conflict,"
Economic Journal, Royal Economic Society, vol. 0(601), pages 757-783, May.
- Thiemo, Fetzer & Marden, Samuel, 2016. "Take what you can: property rights, contestability and conflict," CAGE Online Working Paper Series 285, Competitive Advantage in the Global Economy (CAGE).
- Thiemo Fetzer & Samuel Marden, 2016. "Take what you can: property rights, contestability and conflict," HiCN Working Papers 214, Households in Conflict Network.
- Thiemo Fetzer & Samuel Marden, 2016. "Take What You Can: Property Rights, Contestability and Conflict," SERC Discussion Papers 0194, Centre for Economic Performance, LSE.
- Thiemo Fetzer & Samuel Marden, 2016. "Take what you can: property rights, contestability and conflict," Working Paper Series 09216, Department of Economics, University of Sussex Business School.
- Fetzer, Thiemo & Marden, Samuel, 2016. "Take what you can: property rights, contestability andconflict," LSE Research Online Documents on Economics 66534, London School of Economics and Political Science, LSE Library.
- Francesco Trebbi & Eric Weese, 2019.
"Insurgency and Small Wars: Estimation of Unobserved Coalition Structures,"
Econometrica, Econometric Society, vol. 87(2), pages 463-496, March.
- Francesco Trebbi & Eric Weese, 2015. "Insurgency and Small Wars: Estimation of Unobserved Coalition Structures," NBER Working Papers 21202, National Bureau of Economic Research, Inc.
- Weese, Eric & Trebbi, Francesco, 2016. "Insurgency and small Wars: Estimation of Unobserved Coalition Structures," Center Discussion Papers 236712, Yale University, Economic Growth Center.
- Francesco Trebbi & Eric Weese, 2016. "Insurgency and Small Wars: Estimation of Unobserved Coalition Structures," Discussion Papers 1628, Graduate School of Economics, Kobe University.
- Francesco Trebbi & Eric Weese, 2016. "Insurgency and Small Wars: Estimation of Unobserved Coalition Structures," Working Papers 1053, Economic Growth Center, Yale University.
- Khanh Duong, 2024. "Is meritocracy just? New evidence from Boolean analysis and Machine learning," Journal of Computational Social Science, Springer, vol. 7(2), pages 1795-1821, October.
- Daniel Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2022.
"Valuing the Time of the Self-Employed,"
Working Papers
2022-2, Princeton University. Economics Department..
- Daniel Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2023. "Valuing the Time of the Self-Employed," Working Papers 310, Princeton University, Department of Economics, Center for Economic Policy Studies..
- Agness, Daniel & Baseler, Travis & Chassang, Sylvain & Dupas, Pascaline & Snowberg, Erik, 2022. "Valuing the Time of the Self-Employed," CEPR Discussion Papers 17017, C.E.P.R. Discussion Papers.
- Daniel Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2022. "Valuing the Time of the Self-Employed," CESifo Working Paper Series 9567, CESifo.
- Daniel J. Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2022. "Valuing the Time of the Self-Employed," NBER Working Papers 29752, National Bureau of Economic Research, Inc.
- Batool, Fatima & Hennig, Christian, 2021. "Clustering with the Average Silhouette Width," Computational Statistics & Data Analysis, Elsevier, vol. 158(C).
- Pounds Stanley B. & Gao Cuilan L. & Zhang Hui, 2012. "Empirical Bayesian Selection of Hypothesis Testing Procedures for Analysis of Sequence Count Expression Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(5), pages 1-32, October.
- Alexandra-Nicoleta Ciucu-Durnoi & Camelia Delcea, 2024. "Ecosystem Degradation in Romania: Exploring the Core Drivers," Stats, MDPI, vol. 7(1), pages 1-16, January.
- Yixuan Qiu & Jing Lei & Kathryn Roeder, 2023. "Gradient-based sparse principal component analysis with extensions to online learning," Biometrika, Biometrika Trust, vol. 110(2), pages 339-360.
- Nicoleta Serban & Huijing Jiang, 2012. "Multilevel Functional Clustering Analysis," Biometrics, The International Biometric Society, vol. 68(3), pages 805-814, September.
- Audrey Mauguen & Emily C. Zabor & Nancy E. Thomas & Marianne Berwick & Venkatraman E. Seshan & Colin B. Begg, 2017. "Defining Cancer Subtypes With Distinctive Etiologic Profiles: An Application to the Epidemiology of Melanoma," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(517), pages 54-63, January.
- Ruiz Vargas, E. & Mitchell, D.G.V. & Greening, S.G. & Wahl, L.M., 2014. "Topology of whole-brain functional MRI networks: Improving the truncated scale-free model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 151-158.
- Hai Shu & Bin Nan & Robert Koeppe, 2015. "Multiple testing for neuroimaging via hidden Markov random field," Biometrics, The International Biometric Society, vol. 71(3), pages 741-750, September.
- Yong Wang, 2009. "The constrained Fisher scoring method for maximum likelihood computation of a nonparametric mixing distribution," Computational Statistics, Springer, vol. 24(1), pages 67-81, February.
- Anis Hoayek & Didier Rullière, 2024. "Assessing clustering methods using Shannon's entropy," Post-Print hal-03812055, HAL.
- Ahrum Son & Hyunsoo Kim & Jolene K. Diedrich & Casimir Bamberger & Daniel B. McClatchy & Stuart A. Lipton & John R. Yates, 2024. "Using in vivo intact structure for system-wide quantitative analysis of changes in proteins," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
- Bilgrau, Anders Ellern & Eriksen, Poul Svante & Rasmussen, Jakob Gulddahl & Johnsen, Hans Erik & Dybkaer, Karen & Boegsted, Martin, 2016. "GMCM: Unsupervised Clustering and Meta-Analysis Using Gaussian Mixture Copula Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i02).
- Orietta Nicolis & Jean Paul Maidana & Fabian Contreras & Danilo Leal, 2024. "Analyzing the Impact of COVID-19 on Economic Sustainability: A Clustering Approach," Sustainability, MDPI, vol. 16(4), pages 1-30, February.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:70:y:2014:i:3:p:762-770. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.