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1. • CommentRowNumber1.
   • CommentAuthorUrs
   • CommentTimeJan 24th 2013
   • PermaLink
   Author: Urs
   Format: MarkdownItexcreated _[[Gaussian probability distribution]]_, just for completeness

   created Gaussian probability distribution, just for completeness

2. • CommentRowNumber2.
   • CommentAuthorTobyBartels
   • CommentTimeJan 25th 2013
   • PermaLink
   Author: TobyBartels
   Format: MarkdownItexFixed a mistake (upside-down fraction), generalised to arbitrary mean, and noted how the standard deviation appears in the $1$-dimensional case.

   Fixed a mistake (upside-down fraction), generalised to arbitrary mean, and noted how the standard deviation appears in the $1$-dimensional case.

3. • CommentRowNumber3.
   • CommentAuthorUrs
   • CommentTimeJan 25th 2013
   • PermaLink
   Author: Urs
   Format: MarkdownItexThanks!

   Thanks!

4. • CommentRowNumber4.
   • CommentAuthorTobyBartels
   • CommentTimeJan 28th 2013
   • PermaLink
   Author: TobyBartels
   Format: MarkdownItexWhy ‘$\mu_S$’? Is it maybe supposed to be ‘$\mu_A$’?

   Why ‘$\mu_S$’? Is it maybe supposed to be ‘$\mu_A$’?

5. • CommentRowNumber5.
   • CommentAuthorUrs
   • CommentTimeFeb 2nd 2013
   • (edited Feb 2nd 2013)
   • PermaLink
   Author: Urs
   Format: MarkdownItexRight, thanks. I have changed it to $\mu_A$ now. (The "$\mu_S$" is a remnant of the origin of the construction of the entry in the discussion of BV-quantization of free fields, where the Gaussian factor is the exponentiation of the action functional "$S$".)

   Right, thanks. I have changed it to $\mu_A$ now.

   (The “$\mu_S$” is a remnant of the origin of the construction of the entry in the discussion of BV-quantization of free fields, where the Gaussian factor is the exponentiation of the action functional “$S$”.)