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検索キーワード:(件名: #Bayesian Inference)
該当件数:38件
Shrinkage Estimation / by Dominique Fourdrinier, William E. Strawderman, Martin T. Wells
1st ed. 2018.. - (Cham : Springer International Publishing : Imprint: Springer , 2018). - (Springer Series in Statistics. ISSN:2197568X)
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Weak Convergence and Empirical Processes : With Applications to Statistics / by A. W. van der Vaart, Jon A. Wellner
2nd ed. 2023.. - (Cham : Springer International Publishing : Imprint: Springer , 2023). - (Springer Series in Statistics. ISSN:2197568X)
Bayesian Statistics, New Generations New Approaches : BAYSM 2022, Montréal, Canada, June 22–23 / edited by Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire
1st ed. 2023.. - (Cham : Springer International Publishing : Imprint: Springer , 2023). - (Springer Proceedings in Mathematics & Statistics. ISSN:21941017 ; 435)
Advanced Sampling Methods / by Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra
1st ed. 2021.. - (Singapore : Springer Nature Singapore : Imprint: Springer , 2021)
Non-Gaussian Autoregressive-Type Time Series / by N. Balakrishna
Bayesian Claims Reserving Methods in Non-life Insurance with Stan : An Introduction / by Guangyuan Gao
1st ed. 2018.. - (Singapore : Springer Nature Singapore : Imprint: Springer , 2018)
Mixed-Effects Models and Small Area Estimation / by Shonosuke Sugasawa, Tatsuya Kubokawa
1st ed. 2023.. - (Singapore : Springer Nature Singapore : Imprint: Springer , 2023). - (JSS Research Series in Statistics. ISSN:23640065)
Probabilistic Risk Analysis and Bayesian Decision Theory / by Marcel van Oijen, Mark Brewer
1st ed. 2022.. - (Cham : Springer International Publishing : Imprint: Springer , 2022). - (SpringerBriefs in Statistics. ISSN:21915458)
Bayesian Inference and Computation in Reliability and Survival Analysis / edited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai
1st ed. 2022.. - (Cham : Springer International Publishing : Imprint: Springer , 2022). - (Emerging Topics in Statistics and Biostatistics. ISSN:25247743)
Stein Estimation / by Yuzo Maruyama, Tatsuya Kubokawa, William E. Strawderman
The Significance Test Controversy Revisited : The Fiducial Bayesian Alternative / by Bruno Lecoutre, Jacques Poitevineau
2nd ed. 2022.. - (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer , 2022)
Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / edited by Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert
1st ed. 2020.. - (Cham : Springer International Publishing : Imprint: Springer , 2020). - (Lecture Notes in Mathematics. ISSN:16179692 ; 2259)
Modern Biostatistical Methods for Evidence-Based Global Health Research / edited by Ding-Geng (Din) Chen, Samuel O. M. Manda, Tobias F. Chirwa
Estimating Presence and Abundance of Closed Populations / by George A. F. Seber, Matthew R. Schofield
1st ed. 2023.. - (Cham : Springer International Publishing : Imprint: Springer , 2023). - (Statistics for Biology and Health. ISSN:21975671)
Modeling Survival Data Using Frailty Models : Second Edition / by David D. Hanagal
1st ed. 2019.. - (Singapore : Springer Nature Singapore : Imprint: Springer , 2019). - (Industrial and Applied Mathematics. ISSN:23646845)
Uncertainty in Engineering : Introduction to Methods and Applications / edited by Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock
Statistical Analysis of Empirical Data : Methods for Applied Sciences / by Scott Pardo
1st ed. 2020.. - (Cham : Springer International Publishing : Imprint: Springer , 2020)
Advances in Statistics - Theory and Applications : Honoring the Contributions of Barry C. Arnold in Statistical Science / edited by Indranil Ghosh, N. Balakrishnan, Hon Keung Tony Ng
1st ed. 2021.. - (Cham : Springer International Publishing : Imprint: Springer , 2021). - (Emerging Topics in Statistics and Biostatistics. ISSN:25247743)
Bayesian Optimization with Application to Computer Experiments / by Tony Pourmohamad, Herbert K. H. Lee
1st ed. 2021.. - (Cham : Springer International Publishing : Imprint: Springer , 2021). - (SpringerBriefs in Statistics. ISSN:21915458)
An Introduction to Bayesian Inference, Methods and Computation / by Nick Heard
1st ed. 2021.. - (Cham : Springer International Publishing : Imprint: Springer , 2021)