2 papers
stat.ME2026
Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis
Marion Kerioui, Daniel Temko, Shahin Tavakoli +1
High-dimensional biomarkers such as gene expression levels are now routinely measured over time, allowing biological processes to be studied dynamically rather than through cross-s…
stat.AP2019
Galton-Watson process and bayesian inference: A turnkey method for the viability study of small populations
B Cloez, T Daufresne, M Kerioui +1
1 Sharp prediction of extinction times is needed in biodiversity monitoring and conservation management. 2 The Galton-Watson process is a classical stochastic model for describing…