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Titlebook: Bayesian Analysis in Statistics and Econometrics; Prem K. Goel,N. Sreenivas Iyengar Conference proceedings 1992 Springer-Verlag New York,

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发表于 2025-3-21 19:51:01 | 显示全部楼层 |阅读模式
期刊全称Bayesian Analysis in Statistics and Econometrics
影响因子2023Prem K. Goel,N. Sreenivas Iyengar
视频video
学科分类Lecture Notes in Statistics
图书封面Titlebook: Bayesian Analysis in Statistics and Econometrics;  Prem K. Goel,N. Sreenivas Iyengar Conference proceedings 1992 Springer-Verlag New York,
影响因子This volume is based on the invited and the contributed presentations given at the Indo-U.S. Workshop on Bayesian Analysis in Statistics and Econometrics (BASE), Dec. 19-23, 1988, held at the Hotel Taj Residency, Bangalore, India. The workshop was jointly sponsored by The Ohio State University, The Indian Statistical Institute, The Indian Econometrics So­ ciety, U.S. National Science Foundation and the NSF-NBER Seminar on Bayesian Inference in Econometrics. Profs. Morrie DeGroot, Prem Goel, and Arnold Zellner were the program organizers. Unfortunately, Morrie became seriously ill just before the workshop was to start and could not participate in the workshop. Almost a year later, Morrie passed away after fighting valiantly with the illness. Not to find Morrie among ourselves was a shock for most of us. He was a continuous source of inspiration and ideas. Even while Morrie was fighting for his life, we had a lot of discussions about the contents of this volume and the Bangalore Workshop. He even talked about organizing a Second Indo-U.S. workshop some time in the near future. We are dedicating this volume to the memory of Prof. Morris H. DeGroot. We have taken a conscious decision n
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LaPlace Approximation for Curved Surfacesnvenient, since Euclidean Laplace approximations apply. After a review of recent work by the authors that gives a Laplacean approximation for curved surfaces, a number of examples are considered in depth.
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Conclusion: The Heel and the Arrownvenient, since Euclidean Laplace approximations apply. After a review of recent work by the authors that gives a Laplacean approximation for curved surfaces, a number of examples are considered in depth.
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Ramanjit Singh,Trevor Wood-Harperbilities. Connections with the maximum likelihood approach permit the user to provide initial guesses at the cell probabilities either through various margins of the cell prior means or through the “effects” of a loglinear model. We apply our method to medical data concerning skin cancer.
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0930-0325 Econometrics (BASE), Dec. 19-23, 1988, held at the Hotel Taj Residency, Bangalore, India. The workshop was jointly sponsored by The Ohio State University, The Indian Statistical Institute, The Indian Econometrics So­ ciety, U.S. National Science Foundation and the NSF-NBER Seminar on Bayesian Infer
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Homogeneity of Subpopulations for Two-By-Two Contingency Tablesiced this phenomenon. We note three types of paradoxes. The definition of homogeneity proposed here is a sufficient condition to avoid Yule’s Reversal Paradox. We look at interpretations of this definition and some examples.
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https://doi.org/10.1007/978-3-642-12113-5t is argued that the usual sharp distinction between prediction and parametric inference is largely illusory. The finite version of de Finetti’s theorem is emphasized for the practice of statistics, with the infinite case used only to obtain approximations and insight.
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