18 citations · 18 across the 4 of their papers we have counts for
11 papers
Robust K-means Clustering using the Density Power Divergence Measure
Anirban Mondal, Paromita Banerjee, Abhijit Mandal
We introduce a robust clustering method, MK-means DPD, that estimates cluster centers and covariance matrices using density power divergence (DPD) measures combined with Mahalanobi…
Locally stationary Argo ocean heat content estimates: Modeling, validation and uncertainty quantification
Thea Sukianto, Mikael Kuusela, Donata Giglio +3
Argo profiling floats measure seawater temperature and salinity in the upper 2000 meters of the ocean. These floats are uniquely capable of measuring the global Ocean Heat Content…
Spline-Based Bayesian Emulators for Large Scale Spatial Inverse Problems
Anirban Mondal, Bani Mallick
A Bayesian approach to nonlinear inverse problems is considered where the unknown quantity (input) is a random spatial field. The forward model is complex and non-linear, therefore…
Combinatorial Large-area MoS2/Anatase-TiO2 interface: A Pathway to Emergent Optical and Opto-electronic Functionalities
Tuhin Kumar Maji, J R Aswin, Subhrajit Mukherjee +15
Interface of transition metal dichalcogenide (TMDC) and high-k dielectric transition metal oxides (TMO) had triggerred umpteen discourses due to the indubitable impact of TMO in re…
A Two Stage Adaptive Metropolis Algorithm
Anirban Mondal, Kai Yin, Abhijit Mandal
We propose a new sampling algorithm combining two quite powerful ideas in the Markov chain Monte Carlo literature -- adaptive Metropolis sampler and two-stage Metropolis-Hastings s…
Preconditioning Markov Chain Monte Carlo Method for Geomechanical Subsidence using multiscale method and machine learning technique
Maria Vasilyeva, Aleksei Tyrylgin, Donald L. Brown +1
In this paper, we consider the numerical solution of the poroelasticity problem with stochastic properties. We present a Two-stage Markov Chain Monte Carlo method for geomechanical…