Titlebook: Bayesian Inference; Parameter Estimation Hanns L. Harney Textbook 20031st edition Springer-Verlag Berlin Heidelberg 2003 Bayes Theorem.Data

我就不公正

天氣

Textbook 20031st editiontes in the physical sciences. This text and reference generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This usually occurs in frontier science because the observed parameter is barely above the background or the histogram of multiparametr

必死

The Study of Adult Development,nvariant distribution to be the prior. In more technical language, we can say that if the group of transformations is the symmetry group of the model, the prior is required to be invariant under the group. Symmetries and, in particular, the symmetries of form-invariant models are discussed below.

macular-edema

Death, Bereavement, and Widowhood,13.2; the special case of two basis states is considered in Sect. 13.3. If the basis is orthogonal, every expansion coefficient can be inferred independently of the estimates of the other ones; see Sect. 13.4. The Fourier expansion provides an example of an orthogonal basis in Sect. 13.5.

網(wǎng)絡(luò)添麻煩

來就得意

debouch

Cognitive Development and Change, the minor measure of .. In that case .. can be inferred only together with .. An example is given in Sect. 15.3. If this happens, we speak of a “symbiosis” of parameters. Symbiotic parameters cannot all be obtained individually.

Control-Group

欄桿

Cognitive Development and Change,there is no transformation of . that can take account of an infinitesimal transformation of .. Hence the definition of form invariance given in Chap. 6 does not cover the case of discrete .. The linear representation (8.20) of form invariance found in Chap. 8 provides the starting point for the more general definition.

晚間

Gender, Race, and Social Status,that even the optimum parameter .., defined in Sect. 3.3, yields an inadequate fit. The optimum parameter suggests that one can represent the observed data by the function .. = .(.; ..).If .. is not adequate, no member of the family . reasonably fits ..