49 citations · 99 across the 3 of their papers we have counts for
4 papers · 1 filter
Local time for run and tumble particle
Prashant Singh, Anupam Kundu
We investigate the local time statistics for a run and tumble particle in an one dimensional inhomogeneous medium. The inhomogeneity is introduced by considering the po…
Random acceleration process under stochastic resetting
Prashant Singh
We consider the motion of a randomly accelerated particle in one dimension under stochastic resetting mechanism. Denoting the position and velocity by and respectively, we…
Run-and-Tumble particle in inhomogeneous media in one dimension
Prashant Singh, Sanjib Sabhapandit, Anupam Kundu
We investigate the run and tumble particle (RTP), also known as persistent Brownian motion, in one dimension. A telegraphic noise drives the particle which changes between $…
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation
Mattias Åkesson, Prashant Singh, Fredrik Wrede +1
Approximate Bayesian Computation is widely used in systems biology for inferring parameters in stochastic gene regulatory network models. Its performance hinges critically on the a…