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Item Details
| Title:
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SPARSE GRAPHICAL MODELING FOR HIGH DIMENSIONAL DATA
A PARADIGM OF CONDITIONAL INDEPENDENCE TESTS |
| By: |
Faming Liang |
| Format: |
Hardback |
| List price:
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£91.99 |
| Our price: |
£82.79 |
| Discount: |
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| You save:
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£9.20 |
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| ISBN 10: |
0367183730 |
| ISBN 13: |
9780367183738 |
| Availability: |
Usually dispatched within 3-5 days.
 Delivery
rates
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| Stock: |
Currently 2 available |
| Publisher: |
TAYLOR & FRANCIS LTD |
| Pub. date: |
2 August, 2023 |
| Series: |
Chapman & Hall/CRC Monographs on Statistics and Applied Probability |
| Pages: |
149 |
| Description: |
This book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; unified treatments for covariate adjustments, data integration, and network comparison. |
| Illustrations: |
12 Tables, black and white; 8 Line drawings, color; 7 Line drawings, black and white; 8 Illustrations, color; 7 Illustrations, black and white |
| Returns: |
Returnable |
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