Orthogonal polynomials in Stein's method

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Stein's method for comparison of univariate distributions (2014, background): “See also [88] as well as [2] and related references for an extensive study of Stein operators for the Pearson (or Ord) family of distributions.”
Distributional Transformations, Orthogonal Polynomials, and Stein Characterizations (2005, unknown): “ar X iv :m at h/ 05 10 24 0v 1 [ m at h. PR ] 1 2 O ct 2”
Stein’s density approach and information inequalities (2012, background): “Corollary 2.1 extends the density approach from [38] or [10] [11] to a much wider class of distributions; it also contains the Stein characterizations for the Pearson given in [33] and the more recent general characterizations studied in [14] [17].”
New rates for exponential approximation and the theorems of Rényi and Yaglom (2011, background): “ns in Ehm (1991), Pek¨oz (1996), Barbour, Chen, and Loh (1992a) and many other articles, results for continuous distributions besides the normal are far less developed. Diaconis and Zabell (1991) and Schoutens (2001) give theoretical material on general classes of probability distribution on the rea”
Stein’s method on Wiener chaos (2007, result): “To conclude, we apply once again the results contained in [46], to infer that the relations P(W ≤ −ν) = 0 and E[2(W + ν) f ′(W )− W f (W )] = 0 imply that, necessarily, W + ν Law = F∗(ν).”