A majorization-minimization sequential procedure builds provably convergent upper and lower bounds for moments of scalar and multi-dimensional unnormalized distributions, with an implementation via power diagrams.
Chevillard, The functions erf and erfc computed with arbitrary precision and explicit error630 bounds, Information and Computation 216 (2012) 72–95
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.ST 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A novel sequential method for building upper and lower bounds of moments of distributions
A majorization-minimization sequential procedure builds provably convergent upper and lower bounds for moments of scalar and multi-dimensional unnormalized distributions, with an implementation via power diagrams.