By Rahul Ghosal and Sujit Ghosh

Bayesian statistical inference for Generalized Linear Models (GLMs) with parameters lying on a constrained space is of general interest (e.g., in monotonic or convex regression), but often constructing valid prior distributions supported on a subspace spanned by a set of linear inequality constraints can be challenging, especially when some of... Show more

August 24, 2021

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Bayesian Inference for Generalized Linear Model with Linear Inequality Constraints

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