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stat.ME2025
DUST: A Duality-Based Pruning Method For Exact Multiple Change-Point Detection
Vincent Runge, Charles Truong, Simon Querné
We tackle the challenge of detecting multiple change points in large time series by optimising a penalised likelihood derived from exponential family models. Dynamic programming al…
stat.ME2020
Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions
Flavien Quijoux, Charles Truong, Aliénor Vienne-Jumeau +6
Meta-analysis is a data aggregation method that establishes an overall and objective level of evidence based on the results of several studies. It is necessary to maintain a high l…