Sankhyā: The Indian Journal of Statistics, Series A (2008-), Vol. 76, No. 1 (February 2014), pp. 25-47 (23 pages) We consider the problem of estimating the sum of squared means when the data (x₁ ,. . ...
Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...
Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 33, No. 3/4 (Dec., 1971), pp. 217-224 (8 pages) Suppose that ${\rm L}(\psi,\theta)=(\psi ...
After taking it on the chin for previously reporting Bayesian estimates, actual 2-year data from the EVOLUT Low Risk trial confirm that transcatheter aortic valve replacement (TAVR) is noninferior to ...
Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...
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