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20112022
most citedInfinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ML20221 cited

Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations

Arnab Ganguly, Riten Mitra, Jinpu Zhou

The paper has two major themes. The first part of the paper establishes certain general results for infinite-dimensional optimization problems on Hilbert spaces. These results cove…

math.PR2018

Inhomogeneous functionals and approximations of invariant distributions of ergodic diffusions: Error analysis through central limit theorem and moderate deviation asymptotics

Arnab Ganguly, P. Sundar

The paper considers an Euler discretization based numerical scheme for approximating functionals of invariant distribution of an ergodic diffusion. Convergence of the numerical sch…

cs.DS2016

Parameterized Pattern Matching -- Succinctly

Arnab Ganguly, Rahul Shah, Sharma V. Thankachan

We consider the problem, where a pattern matches some location in a text iff there is a one-to-one correspondence between the…

cs.DM2013

Markov chain aggregation and its applications to combinatorial reaction networks

Arnab Ganguly, Tatjana Petrov, Heinz Koeppl

We consider a continuous-time Markov chain (CTMC) whose state space is partitioned into aggregates, and each aggregate is assigned a probability measure. A sufficient condition for…

math.PR2011

Uniform moment bounds of multi-dimensional functions of discrete-time stochastic processes

Arnab Ganguly, Debasish Chatterjee, John Lygeros +1

We establish conditions for uniform -th moment bound of certain -valued functions of a discrete-time stochastic process taking values in a general metric space. The condit…