QLS Seminar - Wednesday, 22 October at 11h00 "Controlling collective phases via Subsystem Resetting in many-body interacting systems" by Anish Acharya, TIFR Mumbai

[Quantitative Life Sciences]

Dear All,

On Tuesday, 21 October at 14:00 CET,  Javier Aguilar Sánchez (LIPh. 
Dept. of Physics and Astronomy "Galileo Galilei", U. of Padua) will give 
a seminar titled:

*"Limits of Inference in Stochastic Models for Complex Systems **"

Simple stochastic models are widely used to describe complex phenomena, 
as they provide an interpretable connection between minimal microscopic 
descriptions and macroscopic statistical patterns. A central challenge 
in this approach is selecting the appropriate model—and its 
parameters—to accurately capture specific datasets. In this talk, I 
present a framework based on change-of-measure theory and bridge 
processes to perform parametric inference and assess model 
distinguishability using path statistics. With this tool, we identify 
optimal sampling protocols that minimize errors in parameter estimation, 
while also revealing fundamental limits of inference: the ability to 
discriminate between competing models is intrinsically constrained by 
data quality (e.g., sampling frequency and dataset size). We illustrate 
the framework with applications to diverse datasets (particle trapped 
with optical tweezers, human microbiome, topic mentions in social media, 
and forest population dynamics) showing how inference limits manifest in 
practice and inform ongoing modeling debates. The talk aims to give an 
overview of the state of the art in model inference, highlighting both 
current methodologies and their inherent limitations.


The seminar will take place in the Common area, Old SISSA building, 
second floor - Via Beirut, 2

Indico: https://indico.ictp.it/event/11204/

You are all most welcome to attend!

Best regards,

Erica


Erica Sarnataro
Group Secretary
Quantitative Life Sciences
The Abdus Salam International Centre for Theoretical Physics (ICTP)
Trieste, Italy
Tel. +39-040-22404623 (NEW PHONE NUMBER)
www.ictp.it/research/qls.aspx
e-mail: qls at ictp.it