3 papers
math.ST2026
Consistent Bayesian causal discovery for structural equation models with equal error variances
Anamitra Chaudhuri, Yang Ni, Anirban Bhattacharya
We consider the problem of recovering the true causal structure among a set of variables, generated by a linear acyclic structural equation model (SEM) with the error terms being i…
math.OC2025
Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space
Jiyoung Park, Abhishek Roy, Jonathan W. Siegel +1
There is extensive literature on accelerating first-order optimization methods in a Euclidean setting. Under which conditions such acceleration is feasible in Riemannian optimizati…
math.ST2025
Conditionally specified graphical modeling of stationary multivariate time series
Anirban Bhattacharya, Jan Johannes, Suhasini Subba Rao
Graphical models are ubiquitous for summarizing conditional relations in multivariate data. In many applications involving multivariate time series, it is of interest to learn an i…