The TSD equation also features a scaling parameter " s " which controls the degree to which the temporal difference scales to spatial units.
32.
Here, ? is a location parameter and " b " > 0, which is sometimes referred to as the diversity, is a scale parameter.
33.
Augustin-Louis Cauchy exploited such a density function in 1827 with an infinitesimal scale parameter, defining what would now be called a Dirac delta function.
34.
In this context the scaling parameter is denoted by & sigma; 0 2 rather than by & tau; 2, and has a different interpretation.
35.
Where \ alpha is the shape parameter, or index of stability, \ mu is the location parameter, and " c " is the scale parameter.
36.
Thus the MH algorithm requires reasonable tuning of the scale parameter ( \ sigma ^ 2 \, or \ mathbf { \ Sigma } ).
37.
Where ? > 0 is mean, standard deviation, and scale parameter of the distribution, the reciprocal of the " rate parameter ", ?, defined above.
38.
Then " s " is called a "'scale parameter "', since its value determines the " scale " or statistical dispersion of the probability distribution.
39.
Similarly, an arbitrary scale parameter " s " is equivalent to setting the scale parameter to 1 and then dividing all regression coefficients by " s ".
40.
Similarly, an arbitrary scale parameter " s " is equivalent to setting the scale parameter to 1 and then dividing all regression coefficients by " s ".
