Some examples and use cases from the internet:

Some examples and use cases from the internet:

• efficient and conditionally valid only under the Gaussian assumptions. 2. Bayesian ridge regression. Much of the notation introduced in this section will be used ...
• As a consequence of the results derived so far, under the Gaussian assumptions, the following properties hold. 1) With Gaussian assumption on messages from ...
• The asymptotic distribution—under the Gaussian assumptions just described—of the maxi
• Under the Gaussian assumptions, the density (5.17) turns out to be Gaussian, and hence uniquely characterized by its mean and covariance matrix. The condi
• mum likelihood estimates (the solutions ˆ? and ˆ?1,...,ˆ?k of (2.1)) ...
• .

• max optimal in the sense of ...
• Nov 21, 2012 ... Therefore, any optimization based on the CRLB under the Gaussian assumption can be considered to be min
• Apr 21, 2011 ... Consequently, the Gaussian CRB (i.e., the CRB that holds under the Gaussian assumption) is the worst
• case one (over the distribution class), ...
• volume that contains a given probability mass under the Gaussian assumption. When in (4.2) rather than having an inequality there is an equality, (4.2), i.e.,.
• Parameter estimation point of viewv. Preliminary definitions and notations. Estimation under the Gaussian assumption. Estimation under the linearity assumption ...