Derives heuristic coverage bounds for MLFriends nested sampling under a Binomial point process model, claiming the bias is negligible compared to statistical variance.
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stat.CO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Nested sampling mode collapse probability is quantified with a symmetric random walk model on live point occupancy, yielding a rule for minimum live points to avoid mode die-out.
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First analytical coverage bounds of a fully specified nested sampling algorithm
Derives heuristic coverage bounds for MLFriends nested sampling under a Binomial point process model, claiming the bias is negligible compared to statistical variance.
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Mode Collapse in Nested Sampling
Nested sampling mode collapse probability is quantified with a symmetric random walk model on live point occupancy, yielding a rule for minimum live points to avoid mode die-out.