Bayesian inference 共有 107 項, 本頁顯示 1-30 項 |
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Applied Bayesian Modelling with Jags (Hardcover)
David Lucy, CRC Press, 出版日期: 2025/08/31
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The Statistical Analysis of Small Data Sets (Paperback)
Markus Neuhauser, Graeme D. Ruxton, Oxford University Press, 出版日期: 2024/08/30
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The Statistical Analysis of Small Data Sets (Hardcover)
Markus Neuhauser, Graeme D. Ruxton, Oxford University Press, 出版日期: 2024/08/30
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Bayesian Precision Medicine (Hardcover)
Peter F. Thall, CRC Press, 出版日期: 2024/05/07
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Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability, Volume III: Probability Theory (Hardcover)
Lucien M. Le Cam, Univ Of California Pr, 出版日期: 2024/05/03
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Estimating Presence and Abundance of Closed Populations (2023) (Hardcover)
George A. F. Seber, Springer Nature, 出版日期: 2023/12/02
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New Frontiers in Bayesian Statistics: Baysm 2021, Online, September 1-3 (2022) (Paperback)
Raffaele Argiento, Springer Nature, 出版日期: 2023/11/27
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Statistical Modeling Using Bayesian Latent Gaussian Models: With Applications in Geophysics and Environmental Sciences (2023) (Hardcover)
Birgir Hrafnkelsson, Springer Nature, 出版日期: 2023/11/09
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Bayesian Inference and Computation in Reliability and Survival Analysis (2022) (Paperback)
Yuhlong Lio, Springer Nature, 出版日期: 2023/08/02
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Data Assimilation Fundamentals: A Unified Formulation of the State and Parameter Estimation Problem (2022) (Paperback)
Geir Evensen, Springer Nature, 出版日期: 2023/04/23
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Bayesian Adaptive Design for Immunotherapy and Targeted Therapy (2023) (Hardcover)
Haitao Pan, Springer Nature, 出版日期: 2023/04/20
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Multi-Level Bayesian Models for Environment Perception (2022) (Paperback)
Csaba Benedek, Springer Nature, 出版日期: 2023/04/20
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Advances in Reliability, Failure and Risk Analysis (2023) (Hardcover)
Harish Garg, Springer Nature, 出版日期: 2023/04/09
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Essential Statistics for Data Science: A Concise Crash Course: A Concise Crash Course (Paperback)
Mu Zhu, Oxford University Press, 出版日期: 2023/04/04
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Essential Statistics for Data Science: A Concise Crash Course (Hardcover)
Mu Zhu, Oxford University Press, 出版日期: 2023/04/04
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Bayesian Real-Time System Identification: From Centralized to Distributed Approach (2023) (Hardcover)
Ke Huang, Springer Nature, 出版日期: 2023/03/21
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Bayesian Tensor Decomposition for Signal Processing and Machine Learning: Modeling, Tuning-Free Algorithms and Applications (2023) (Hardcover)
Lei Cheng, Springer Nature, 出版日期: 2023/02/17
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Mixed-Effects Models and Small Area Estimation (2023) (Paperback)
Shonosuke Sugasawa, Springer Nature, 出版日期: 2023/02/04
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Non-Gaussian Autoregressive-Type Time Series (2021) (Paperback)
N. Balakrishna, Springer Nature, 出版日期: 2023/01/29
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Bayesian Artificial Intelligence (0002) (Paperback)
Kevin B. Korb, CRC Press, 出版日期: 2023/01/21
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Graph Searching Games and Probabilistic Methods (Paperback)
Anthony Bonato, CRC Press, 出版日期: 2023/01/21
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Genomics Data Analysis: False Discovery Rates and Empirical Bayes Methods (Paperback)
David R. Bickel, CRC Press, 出版日期: 2023/01/21
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New Frontiers in Bayesian Statistics: Baysm 2021, Online, September 1-3 (2022) (Hardcover)
Raffaele Argiento, Springer Nature, 出版日期: 2022/11/27
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Modern Biostatistical Methods for Evidence-Based Global Health Research (2022) (Hardcover)
Chen, Springer Nature, 出版日期: 2022/11/26
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Probabilistic Risk Analysis and Bayesian Decision Theory (2022) (Paperback)
Marcel Van Oijen, Springer Nature, 出版日期: 2022/11/24
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Applied Bayesian Statistics (Paperback)
Scott M. Lynch, Sage Pubn, 出版日期: 2022/11/21
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Bayes Factors for Forensic Decision Analyses with R (1st ed. 2022) (Hardcover)
Silvia Bozza, Franco Taroni, Alex Biedermann, Springer International Publishing AG, 出版日期: 2022/11/01, 系列: Springer Texts in Statistics
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An Introduction to Bayesian Inference, Methods and Computation (2021) (Paperback)
Nick Heard, Springer Nature, 出版日期: 2022/10/19
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The Significance Test Controversy Revisited: The Fiducial Bayesian Alternative (2nd ed. 2022) (Paperback)
Bruno Lecoutre, Jacques Poitevineau, Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 出版日期: 2022/10/14
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A Toolbox for Digital Twins: From Model-Based to Data-Driven (Paperback)
Mark Asch, Society for Industrial & Applied Mathematics,U.S., 出版日期: 2022/09/30, 系列: Math in Industry
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