4 citations · 8 across the 3 of their papers we have counts for
3 papers
stat.ME2018★ 3 cited
Tree-based Particle Smoothing Algorithms in a Hidden Markov Model
Dong Ding, Axel Gandy
We provide a new strategy built on the divide-and-conquer approach by Lindsten et al. (2017) to investigate the smoothing problem in a hidden Markov model. We employ this approach…
stat.ME2017★ 1 cited
Implementing Monte Carlo Tests with P-value Buckets
Axel Gandy, Georg Hahn, Dong Ding
Software packages usually report the results of statistical tests using p-values. Users often interpret these by comparing them to standard thresholds, e.g. 0.1%, 1% and 5%, which…
stat.ME2016★ 4 cited
A simple method for implementing Monte Carlo tests
Dong Ding, Axel Gandy, Georg Hahn
We consider a statistical test whose p-value can only be approximated using Monte Carlo simulations. We are interested in deciding whether the p-value for an observed data set lies…