In genetic analysis, there are often competing explanations for the same data. Sophisticated mathematical models have been developed that can encapsulate these problems in terms of parameters that ...
A study is made of the simple empirical Bayes estimators proposed by Robbins (1956). These estimators are compared with `best' conventional estimators in terms of ...
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 ,. . ...
That’s because a new framework is improving the probabilistic reasoning of LLMS like ChatGPT and Gemini. School of ...
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