56 citations · 228 across the 31 of their papers we have counts for
6 papers · 1 filter
On a Variational Approximation based Empirical Likelihood ABC Method
Sanjay Chaudhuri, Subhroshekhar Ghosh, David J. Nott +1
Many scientifically well-motivated statistical models in natural, engineering, and environmental sciences are specified through a generative process. However, in some cases, it may…
Disordered complex networks: energy optimal lattices and persistent homology
Subhro Ghosh, Naoto Miyoshi, Tomoyuki Shirai
Disordered complex networks are of fundamental interest as stochastic models for information transmission over wireless networks. Well-known networks based on the Poisson point pro…
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang
We propose a novel stochastic network model, called Fractal Gaussian Network (FGN), that embodies well-defined and analytically tractable fractal structures. Such fractal structure…
Learning from DPPs via Sampling: Beyond HKPV and symmetry
Rémi Bardenet, Subhroshekhar Ghosh
Determinantal point processes (DPPs) have become a significant tool for recommendation systems, feature selection, or summary extraction, harnessing the intrinsic ability of these…
Fluctuation and Entropy in Spectrally Constrained random fields
Kartick Adhikari, Subhroshekhar Ghosh, Joel L. Lebowitz
We investigate the statistical properties of translation invariant random fields (including point processes) on Euclidean spaces (or lattices) under constraints on their spectrum o…
Transmission and navigation on disordered lattice networks, directed spanning forests and Brownian web
Subhroshekhar Ghosh, Kumarjit Saha
Stochastic networks based on random point sets as nodes have attracted considerable interest in many applications, particularly in communication networks, including wireless sensor…