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243528026
Bayesian Nonparametric Statistics: École d’Été de Probabilités de Saint-Flour LI - 2023: 2358 (Lecture Notes in Mathematics, 2358)
Item #:
243528026
KGS 7944
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This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics.
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What Stands Out
In-depth Coverage
This volume offers comprehensive insights into Bayesian nonparametric statistics, ideal for researchers seeking to deepen their understanding and application of advanced probabilistic methods in their studies.
Expert Contributions
Contributions from leading experts in the field enhance credibility and depth, providing readers with state-of-the-art techniques and theories directly applicable to current statistical challenges.
Educational Resource
Designed as an educational tool, it's perfect for graduate students and professionals aiming to bridge the gap between theory and practical implementation in Bayesian statistics, making complex topics accessible.
Product Details
| Publisher | Springer |
| Publication date | 19 Nov. 2024 |
| Edition | 2024th |
| Language | English |
| Print length | 228 pages |
| ISBN-10 | 3031740343 |
| ISBN-13 | 978-3031740343 |
| Item weight | 356 g |
| Dimensions | 15.49 x 1.32 x 23.5 cm |
Who Should Buy?
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Graduate Students
Ideal for graduate students specializing in statistics, particularly those interested in advanced Bayesian methods and nonparametric applications.
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Researchers
Beneficial for researchers focusing on statistical theory and Bayesian nonparametrics, providing insights into contemporary methods and findings.
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Statisticians
Useful for professional statisticians seeking to enhance their knowledge of Bayesian nonparametric techniques and current research trends.
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Beginners in Statistics
Not suitable for beginners, as it assumes prior knowledge of statistical concepts and Bayesian principles for effective understanding.
Product Description
Bayesian Nonparametric Statistics: École d’Été de Probabilités de Saint-Flour LI - 2023: 2358 (Lecture Notes in Mathematics, 2358)
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Higher Education Editorial Review
Bayesian Nonparametric Statistics: École D’Été De Probabilités De Saint-Flour LI - 2023: 2358 (Lecture Notes In Mathematics, 2358) is a comprehensive resource published by Springer, featuring 228 pages of insightful content. This 2024 edition, written in English, delves into advanced statistical methods, making it essential for researchers and practitioners. With its precise dimensions of 15.49 x 1.32 x 23.5 cm, it's a manageable size for both studying and referencing. The publication date is set for November 19, 2024, ensuring that it includes the latest in Bayesian nonparametric statistics, a growing area in statistical analysis.
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Pros
- In-depth exploration of Bayesian nonparametric methods
- Suitable for researchers in statistics
- Includes contemporary statistical advancements
- Manageable size for easy handling
- Detailed publication with 228 pages
Cons
- Publication date is in the future, limiting immediate access
Product Price History
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KGS 7944
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Features & Benefits
- Comprehensive introduction to Bayesian nonparametric statistics.
- Covers recent research topics including deep neural networks and high-dimensional models.
- Offers insights into Bernstein-von Mises theorems and variational Bayes approximations.
- Addresses applications in fields like astrophysics, genomics, and machine learning.
- Details frequentist analysis of posterior distributions and uncertainty quantification.
- Ideal for researchers and graduate students in statistics and probability.
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