Could someone please explain what "$J$" consists of in this paper, equation 1.5. $$ J \sim N(\beta, \sigma^2 I/k) $$ What's $\beta$ here? What's $N$?
Also, why are they putting that much effort in deriving $k$ with complicated formulas instead of just saying "use CV to find the best $k$"?