activity
20092026
most citedGPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm

112 citations · 227 across the 26 of their papers we have counts for

collaborators

28 papers

stat.ME2026

smartcor: Intelligent Correlation Method Selection for Mixed Variable Types

M Harshvardhan, Pritam Ranjan

Pearson correlation is the default measure of association in most statistical software, yet it is only appropriate for pairs of continuous variables with a linear relationship. Whe…

stat.ME2022★ 1 cited

Solving an Inverse Problem for Time Series Valued Computer Simulators via Multiple Contour Estimation

Pritam Ranjan, Joseph Resch, Abhyuday Mandal

Computer simulators are often used as a substitute of complex real-life phenomena which are either expensive or infeasible to experiment with. This paper focuses on how to efficien…

stat.AP2022★ 40 cited

Valuation of patents in emerging economies: a renewal model-based study of Indian patents

Mohd Shadab Danish, Pritam Ranjan, Ruchi Sharma

This study uses patent renewal information to estimate private value of patents by technology and ownership status. Patent value refers to the economic reward that the inventor ext…

econ.GN2022★ 3 cited

Assessing the Impact of Patent Attributes on the Value of Discrete and Complex Innovations

Mohd Shadab Danish, Pritam Ranjan, Ruchi Sharma

This study assesses the degree to which the social value of patents can be connected to the private value of patents across discrete and complex innovation. The underlying theory s…

stat.AP2022★ 9 cited

Determinants of Patent Survival in Emerging Economies: Evidence from Residential Patents in India

Mohd Shadab Danish, Pritam Ranjan, Ruchi Sharma

The purpose of this paper is to use patent level characteristics to estimate the survival of resident patents (filed at the Indian Patent Office (IPO) and assigned to firms in Indi…

stat.AP2020

The Evolution of Dynamic Gaussian Process Model with Applications to Malaria Vaccine Coverage Prediction

Pritam Ranjan, M. Harshvardhan

Gaussian process (GP) based statistical surrogates are popular, inexpensive substitutes for emulating the outputs of expensive computer models that simulate real-world phenomena or…