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  2. Deviance information criterion - Wikipedia

    en.wikipedia.org/wiki/Deviance_information_criterion

    Models are penalized both by the value of ¯, which favors a good fit, but also (similar to AIC) by the effective number of parameters . Since D ¯ {\displaystyle {\bar {D}}} will decrease as the number of parameters in a model increases, the p D {\displaystyle p_{D}} term compensates for this effect by favoring models with a smaller number of ...

  3. List of model checking tools - Wikipedia

    en.wikipedia.org/wiki/List_of_model_checking_tools

    In 1999, Judi Romijn compared two model checkers (CADP and SPIN) on the HAVi interoperability audio-video protocol for consumer electronics. [3] In 2003, Yifei Dong, Xiaoqun Du, Gerard J. Holzmann, and Scott A. Smolka published a comparison of four model checkers (namely: Cospan, Murphi, SPIN, and XMC) on a communication protocol, the GNU i ...

  4. Akaike information criterion - Wikipedia

    en.wikipedia.org/wiki/Akaike_information_criterion

    For this model, there are three parameters: c, φ, and the variance of the ε i. More generally, a pth-order autoregressive model has p + 2 parameters. (If, however, c is not estimated from the data, but instead given in advance, then there are only p + 1 parameters.)

  5. Neural scaling law - Wikipedia

    en.wikipedia.org/wiki/Neural_scaling_law

    is the number of parameters in the model. D {\displaystyle D} is the number of tokens in the training set. L {\displaystyle L} is the average negative log-likelihood loss per token ( nats /token), achieved by the trained LLM on the test dataset.

  6. Module:Check for unknown parameters/testcases - Wikipedia

    en.wikipedia.org/wiki/Module:Check_for_unknown...

    Download as PDF; Printable version; In other projects Appearance. move to sidebar hide This is the test cases page for ... Check for unknown parameters]].

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  8. Identifiability - Wikipedia

    en.wikipedia.org/wiki/Identifiability

    Identifiability of the model in the sense of invertibility of the map is equivalent to being able to learn the model's true parameter if the model can be observed indefinitely long. Indeed, if {X t} ⊆ S is the sequence of observations from the model, then by the strong law of large numbers,

  9. Template:Val - Wikipedia

    en.wikipedia.org/wiki/Template:Val

    This template is used to easily present values in scientific notation, including uncertainty and/or units, as prescribed by Wikipedia's Manual of Style. Template parameters [Edit template data] This template prefers inline formatting of parameters. Parameter Description Type Status Number 1 A number in decimal point notation or in e notation. The main basis of the Val expression. Example -12 ...