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 ,. . ...
A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...
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This one change made my Home Assistant automations far more accurate
The beauty of Bayesian sensors is that they can make your Home Assistant automations much more accurate. If your cat does sometimes set off your motion sensor, for example, you can't rely on the ...
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