Bayesian Survival Analysis Using Bernstein Polynomials

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Shape restricted regression with random Bernstein polynomials (2007, background): “[7] and is by no means complete; similar statements can be made for a monotone and convex or a monotone and sigmoidal function, for example.”
Multivariate nonparametric estimation of the Pickands dependence function using Bernstein polynomials (2014, background): “In virtue of their optimal shape restriction properties (Carnicer and Peña, 1993), Bernstein polynomials are suitable for nonparametric curve estimation (e.g. Petrone 1999; Chang et al. 2005) and shape-preserving regression (Wang and Ghosh 2012).”
Most Likely Transformations (2015, methodology): “odel, e.g. Joly et al. (1998);Cai and Betensky (2003);Sabanes Bove and Held(2013) orMa et al. (2014). Less frequently, the transformation function h Y was modelled directly.Mallick and Walker(2003);Chang et al. (2005) Hothorn, Most, and B uhlmann 3 andMcLain and Ghosh(2013) used Bernstein polynomial”