18 citations · 47 across the 11 of their papers we have counts for
12 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…
Bayesian Uncertainty Quantification of Local Volatility Model
Kai Yin, Anirban Mondal
Local volatility is an important quantity in option pricing, portfolio hedging, and risk management. It is not directly observable from the market; hence calibrations of local vola…
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…
Analyzing Stochastic Computer Models: A Review with Opportunities
Evan Baker, Pierre Barbillon, Arindam Fadikar +10
In modern science, computer models are often used to understand complex phenomena, and a thriving statistical community has grown around analyzing them. This review aims to bring a…
Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments
Pulong Ma, Anirban Mondal, Bledar Konomi +3
Observing system uncertainty experiments (OSUEs) have been recently proposed as a cost-effective way to perform probabilistic assessment of retrievals for NASA's Orbiting Carbon Ob…
The influence of impurities on the charge carrier mobility of small molecule organic semiconductors
Pascal Friederich, Artem Fediai, Jing Li +10
Amorphous organic semiconductors based on small molecules and polymers are used in many applications, most prominently organic light emitting diodes (OLEDs) and organic solar cells…
Stratified Random Sampling for Dependent Inputs
Anirban Mondal, Abhijit Mandal
A new approach of obtaining stratified random samples from statistically dependent random variables is described. The proposed method can be used to obtain samples from the input s…
Computer model calibration based on image warping metrics: an application for sea ice deformation
Yawen Guan, Christian Sampson, J. Derek Tucker +4
Arctic sea ice plays an important role in the global climate. Sea ice models governed by physical equations have been used to simulate the state of the ice including characteristic…