Fiducial Matching for the Approximate Posterior: F-ABC

07/12/2020
by   Yannis G. Yatracos, et al.
0

F-ABC is introduced, using universal sufficient statistics, unlike previous ABC papers, e.g. Bernton et al. (2019), and avoiding in the approximate posterior artifacts due to a Kernel. The nature of matching tolerance is examined and indications for determining its values are presented. F-ABC does not face concerns associated with ABC. Asymptotics and simulation results are also presented.

READ FULL TEXT

page 34

page 35

research
03/08/2023

Achievable Rates and Low-Complexity Encoding of Posterior Matching for the BSC

Horstein, Burnashev, Shayevitz and Feder, Naghshvar et al. and others ha...
research
04/09/2023

Combinatorial Statistics on Pattern-avoiding Permutations

The study of Mahonian statistics dated back to 1915 when MacMahon showed...
research
02/14/2022

From p-Values to Posterior Probabilities of Hypothesis

Minimum Bayes factors are commonly used to transform two-sided p-values ...
research
01/13/2023

Computing matching statistics on Wheeler DFAs

Matching statistics were introduced to solve the approximate string matc...
research
11/11/2020

PHONI: Streamed Matching Statistics with Multi-Genome References

Computing the matching statistics of patterns with respect to a text is ...
research
05/15/2023

Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES Estimator

We propose an easily computed estimator of marginal likelihoods from pos...
research
01/15/2023

A Simple Proof of Posterior Robustness

Conditions for Bayesian posterior robustness have been examined in recen...

Please sign up or login with your details

Forgot password? Click here to reset