On my way to @sfe2_2024 in Lyon for the week. Looking forward to meet up with colleagues and friends.
I will chair the #TheoreticalEcology and #Modelling session on Tuesday morning (Auditorium) and will talk on Wednesday morning in the same session, about parameter #Identifiability in #IntegratedPopulationModels.
Also don't miss out the Symposium Advances in Statistical Ecology on Wednesday!
Send me a message if we don't cross paths and would like to chat.
'Linear Regression With Unmatched Data: A Deconvolution Perspective', by Mona Azadkia, Fadoua Balabdaoui.
http://jmlr.org/papers/v25/22-0930.html
#deconvolution #identifiability #estimator
Our understanding of past evolutionary change is often based on reconstructions based on incomplete data, raising fundamental questions about the degree to which we can make reliable inferences about past evolutionary processes. This was demonstrated by Louca and Pennell (2020), who showed that each pure-birth process can be generated by an infinite number of birth-death processes. Here, I explore what it means to reconstruct past evolutionary change with three approaches from measure theory, group theory, and homotopy theory to better understand structural constraint and origins of (non)identifiability. As an example, the developed framework is applied to the case of birth-death processes.
Some Remarks on Identifiability of Independent Component Analysis in Restricted Function Classes
Simon Buchholz
Action editor: Pierre Alquier.
Some Remarks on Identifiability of Independent Component Analysis in Restricted Function Classes
Jeremy Beaulieu and I are giving a phyloseminar this coming Tuesday at noon US Eastern: http://phyloseminar.org/
Diversification analyses: what can we do, and what should we do?
#phylogenetics #diversification #identifiability #statistics
Multivariable Causal Discovery for General Nonlinear Functions