Improving AI Accuracy
This is my digital kitchen sink. Basically a dump of cool things.
Simulation of Ellsberg’s Paradox
Attending My First Academic Conference
Would you change your original choice with new information?
Is there any evidence of tampering or manipulation in COVID-19 daily cases reported by countries? Using Benford analysis in R, I try to reach at some conclusion.
Summary of my research work on forecasting coverage for Malaria vaccines
Research Paper on Malaria Vaccine Coverage Prediction
Using rTweet package in R to analyse live tweets from Twitter
Guest Lecture for PhD Students at IIM Indore
Research paper on statistical modelling and analysis of computer-simulated datasets
Measuring efficiency of Indian higher education institutes using Data Envelopment Analysis
Over the last two decades, the science has come a long way from relying on only physical experiments and observations to experimentation using computer simulators. This chapter focuses on the modelling and analysis of data arising from computer simulators. It turns out that traditional statistical metamodels are often not very useful for analyzing such datasets. For deterministic computer simulators, the realizations of Gaussian Process (GP) models are commonly used for fitting a surrogate statistical metamodel of the simulator output. This peer-reviewed book chapter reviews GP models, their numerical stability due to near-singularity of spatial correlation structures. We also presented generalisations of GP model and reviewed algorithms for big data.
Summer intership on studying Gaussian process modelling
Summer internship on studying near-singularity in Gaussian correlation matrices