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Graphical models for categorical data / Alberto Roverato
Material type:
TextSeries: Cambridge elements: SemStatPublication details: New York Cambridge University Press 2017Description: 152 pISBN: - 9781108404969
- 519.538 ROV-A
| Item type | Current library | Collection | Shelving location | Call number | Status | Notes | Date due | Barcode | Item holds | |
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BITS Pilani Hyderabad | 510 | General Stack (For lending) | 519.538 ROV-A (Browse shelf(Opens below)) | Checked out | Project Book : Dr. Sayan Ghosh. | 17/10/2024 | 45937 | ||
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Books
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BITS Pilani Hyderabad | 510 | General Stack (For lending) | 519.538 ROV-A (Browse shelf(Opens below)) | Available | 35854 |
Total holds: 0
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| 519.536 QNY-L Design and analysis of experiments : classical and regression approaches with SAS / | 519.536 STR-W Generalized linear mixed models : modern concepts, methods and applications / | 519.536 WES-P Understanding regression analysis : a conditional distribution approach / | 519.538 ROV-A Graphical models for categorical data / | 519.538 ROV-A Graphical models for categorical data / | 519.538 TAB-B Experimental designs using ANOVA / | 519.54 ALM-A Theory of statistical inference / |
For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and recent results.
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