Tutorial book | Booksfrom 45 to 71
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from 45 to 71 Books
(9780131103627 / 978-0-1311-0362-7) - Country of publication: UNITED STATES - Dimensions: 180 x 236 x 16mm | 474g - Edition: 2nd Edition - Format: Paperback | 288 pages - Height: 232 mm - Spine width: 20 mm
(9780131103627 / 978-0-1311-0362-7) - Country of publication: UNITED STATES - Dimensions: 180 x 236 x 16mm | 474g - Edition: 2nd Edition - Format: Paperback | 288 pages - Height: 232 mm - Spine width: 20 mm
(9780131103627 / 978-0-1311-0362-7) - Country of publication: UNITED STATES - Dimensions: 180 x 236 x 16mm | 474g - Edition: 2nd Edition - Format: Paperback | 288 pages - Height: 232 mm - Spine width: 20 mm
(9780131103627 / 978-0-1311-0362-7) - Country of publication: UNITED STATES - Dimensions: 180 x 236 x 16mm | 474g - Edition: 2nd Edition - Format: Paperback | 288 pages - Height: 232 mm - Spine width: 20 mm
(9780124058880) - Dimensions: 191 x 235 x 43.18mm | 1,740g - Revised - Academic Press Inc - San Diego, United States - Elsevier Science Publishing Co Inc - Edition statement: 2nd edition - Format: 776 pages | Doing Bayesian
(9780124058880) - Dimensions: 191 x 235 x 43.18mm | 1,740g - Revised - Academic Press Inc - San Diego, United States - Elsevier Science Publishing Co Inc - Edition statement: 2nd edition - Format: 776 pages | Doing Bayesian
(9780124058880) - Dimensions: 191 x 235 x 43.18mm | 1,740g - Revised - Academic Press Inc - San Diego, United States - Elsevier Science Publishing Co Inc - Edition statement: 2nd edition - Format: 776 pages | Doing Bayesian
(9780124058880) - Dimensions: 191 x 235 x 43.18mm | 1,740g - Revised - Academic Press Inc - San Diego, United States - Elsevier Science Publishing Co Inc - Edition statement: 2nd edition - Format: 776 pages | Doing Bayesian
(9780124058880) - Dimensions: 191 x 235 x 43.18mm | 1,740g - Revised - Academic Press Inc - San Diego, United States - Elsevier Science Publishing Co Inc - Edition statement: 2nd edition - Format: 776 pages | Doing Bayesian
(9780124058880) - Dimensions: 191 x 235 x 43.18mm | 1,740g - Revised - Academic Press Inc - San Diego, United States - Elsevier Science Publishing Co Inc - Edition statement: 2nd edition - Format: 776 pages | Doing Bayesian
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
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