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

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6 papers · 1 filter

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…

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…

stat.AP2017★ 6 cited

A History Matching Approach for Calibrating Hydrological Models

Natalia V. Bhattacharjee, Pritam Ranjan, Abhyuday Mandal +1

Calibration of hydrological time-series models is a challenging task since these models give a wide spectrum of output series and calibration procedures require significant amount…

stat.AP2017

A New Class of Discrete-time Stochastic Volatility Model with Correlated Errors

Sujay Mukhoti, Pritam Ranjan

In an efficient stock market, the returns and their time-dependent volatility are often jointly modeled by stochastic volatility models (SVMs). Over the last few decades several SV…

stat.AP2009★ 6 cited

-SELC: Optimization by sequential elimination of level combinations using genetic algorithms and Gaussian processes

Abhyuday Mandal, Pritam Ranjan, C. F. Jeff Wu

Identifying promising compounds from a vast collection of feasible compounds is an important and yet challenging problem in the pharmaceutical industry. An efficient solution to th…