Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers - Leonard, Hsu - 1999 () Citation Context ...lysis are potentially overcome by using what is known as the Laplacian approximation to the marginal probability (see, for example, Carlin & Louis, 2000, pp.122–129; ...
Texts in Statistical Science(共72册),这套丛书还有 《Fundamentals of Mathematical Statistics》《Epidemiology》《Understanding Advanced Statistical Methods》《Introduction to General and Generalized Linear Models》《Statistical Machine Learning: A Unified Framework》等。 我来说两句 短评 ··· ( 全部2 条...
Because Bayesian statistical methods can be applied to any data, regardless of the type of cognitive model (Bayesian or otherwise) that motivated the data collection, Bayesian methods for data analysis will continue to be appropriate even if Bayesian models of mind lose their appeal. 展开▼ 机...
Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers. Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers - Leonard, Hsu - 1999 () Citation Context ...lysis are potentially overcome... Lang,B Joseph - 《Journal of the American Statistical ...
progressive experiments. Because Bayesian statistical methods can be applied to any data, regardless of the type of cognitive model (Bayesian or otherwise) that motivated the data collection, Bayesian methods for data analysis will continue to be appropriate even if Bayesian models of mind lose their...
Bayesian Methods for Statistical Analysis Machining process modeling & simulation as well as in-process monitoring and control have been identified as key technological factors to power efficient m... B Puza 被引量: 0发表: 2017年 A Review of A First Course in Bayesian Statistical Methods P>This...
p pBackground/p pWith the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis of microarrays include either combining gene expression measures across studies or combining summaries such as p-values...
Memory usage in OpenBUGS for the linear regression model. Solid: as a function of the number of species with 100 trees, dashed: as a function of the number of trees with 50 species. Full size image Discussion We have shown that Bayesian methods for phylogenetic comparative analysis are easy...
It briefly discusses suitable distributions and inferential methods overcoming the emerging computational issues. 展开 关键词: Statistical Analysis Bayesian Analysis Truncated Distributions Beta Distribution 会议名称: International Conference on Informatics in Control, Automation and Robotics ...
Kernel methods for deep learning. In Advances in Neural Information Processing Systems (eds Bengio, Y. et al.) Vol. 22 (Curran Associates, 2009). Poole, B., Lahiri, S., Raghu, M., Sohl-Dickstein, J. & Ganguli, S. Exponential expressivity in deep neural networks through transient chaos...