Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests

Faming Liang and Bochao Jia, New York: Chapman and Hall/CRC, 2023, 150 pp., $120.00, ISBN 9780429061189

Vira Anandaa Statistics Research Group, Master Program in Mathematics, Institut Teknologi Bandung, Indonesia; Correspondence[email protected]

https://orcid.org/0009-0009-5160-5564 View further author information

Visi Komala Sarib Master Program in Physics Teaching, Institut Teknologi Bandung, Indonesia

https://orcid.org/0009-0004-5005-4055 View further author information

Anisahb Master Program in Physics Teaching, Institut Teknologi Bandung, Indonesia

https://orcid.org/0009-0000-2715-6935 View further author information

Utriweni Mukhaiyara Statistics Research Group, Master Program in Mathematics, Institut Teknologi Bandung, Indonesia;

https://orcid.org/0000-0003-2353-7110 View further author information

"Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests." Technometrics, 66(2), pp. 308–309

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The authors would like to express their sincere gratitude and appreciation to Lembaga Pengelola Dana Pendidikan - LPDP (Indonesia Endowment Fund for Education) under the auspices of the Ministry of Finance of the Republic of Indonesia for providing financial support to the authors. The valuable support and assistance greatly facilitated this publication.

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Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests

Faming Liang and Bochao Jia, New York: Chapman and Hall/CRC, 2023, 150 pp., $120.00, ISBN 9780429061189

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Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests

Faming Liang and Bochao Jia, New York: Chapman and Hall/CRC, 2023, 150 pp., $120.00, ISBN 9780429061189

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