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Titlebook: Bayesian Statistics in Action; BAYSM 2016, Florence Raffaele Argiento,Ettore Lanzarone,Alessandra Matt Conference proceedings 2017 Springer

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發(fā)表于 2025-3-21 18:08:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Bayesian Statistics in Action
期刊簡稱BAYSM 2016, Florence
影響因子2023Raffaele Argiento,Ettore Lanzarone,Alessandra Matt
視頻videohttp://file.papertrans.cn/182/181884/181884.mp4
發(fā)行地址Offers contributions presented by young Bayesian statisticians.Presents a selection of innovative contributions.Faithful community following the conference editions.Includes supplementary material:
學(xué)科分類Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: Bayesian Statistics in Action; BAYSM 2016, Florence Raffaele Argiento,Ettore Lanzarone,Alessandra Matt Conference proceedings 2017 Springer
影響因子.This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and postdocs dealing with Bayesian statistics to connect with the Bayesian community at large, to exchange ideas, and to network with others working in the same field. The contributions develop and apply Bayesian methods in a variety of fields, ranging from the traditional (e.g., biostatistics and reliability) to the most innovative ones (e.g., big data and networks)..
Pindex Conference proceedings 2017
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發(fā)表于 2025-3-22 00:08:42 | 只看該作者
Raffaele Argiento,Ettore Lanzarone,Alessandra MattOffers contributions presented by young Bayesian statisticians.Presents a selection of innovative contributions.Faithful community following the conference editions.Includes supplementary material:
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Springer Proceedings in Mathematics & Statisticshttp://image.papertrans.cn/b/image/181884.jpg
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978-3-319-85312-3Springer International Publishing AG 2017
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Increasing IQ in the United States,d on new data in order to perform inferential process on-line. In such situations, the use of posterior distribution as the prior distribution in the new application of the Bayes’ theorem is sensible. However, the analytic form of the posterior distribution is not always available and we only have a
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Tareq Ahram,Redha Taiar,Arnaud Choplinlternative modelling approach allows financial observations to take integer values that are multiples of a fixed quantity, the ticksize - the monetary value associated with a single change during the price evolution. In the case of high-frequency data, the sample exhibits diverse trading operations
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Human Interaction and Emerging Technologieslowed for ethical reasons. Because the switching is a prognosis-related choice, identification and estimation of the effect of the actual receipt of the treatment becomes problematic. Existing methods in the literature try to reconstruct the ideal situation that would be observed if the switchers ha
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