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Flexible and reliable profile estimation using exponential splines

Flexible and reliable non‐parametric distribution estimation is achieved by using exponential splines. In Bayesian function estimation the number of spline knots as well as the parameters for knot position, amplitude and stiffness are marginalized. The resulting marginal posterior probability distribution allows to estimate profiles, profile gradients and their uncertainties in a natural way.