I am a faculty member in the Operations and Decision Sciences Area at IIM Ahmedabad. My research and teaching are aligned with the theory and applications of Data Science. I obtained my Bachelor of Statistics (Honours) and Master of Statistics degrees from the Indian Statistical Institute Kolkata, after which I worked in the industry for eight years. My industry experience has been in Re-insurance and Commercial Finance, leading various analytical initiatives for risk management, capital allocation and pricing. After my stint in the industry, I decided to switch to a career in academics. I obtained a doctoral degree from IIM Bangalore and subsequently joined IIM Ahmedabad as a faculty member.
My research interests include interdisciplinary problems that require novel statistical solutions, especially those that could benefit from the use of Bayesian statistical formulations to incorporate expert inputs beyond observed historical data. My current interests are in Bayesian Methods, Spatial Modeling, Change Point Detection, Circular Statistics, Quantile Regression and Model Misspecification. Although I am interested in the applications of Data Science to various domains, my current focus is on problems in Crime Management and problems in Insurance. Motivated by practical problems, I also explore relevant theoretical questions that guide the appropriate use of statistical methods in practice and have made some contributions to the area of Bayesian statistical inference with Misspecified models and Quantile Regression. At IIMA, I teach courses related to Data Science tailored to the MBA students, PhD students and for participants in some of the Executive Education Programmes.
Vice President-Portfolio Risk Modeling, GE Commercial Finance, CT, USA , 2005-2009
Sr. Risk Specialist, GE Insurance Solutions, KS, USA , 2003-2005
Business Analyst, GE Capital International Services, Bangalore, India, 2001-2003
Journals
Kanti Mardia and Karthik Sriram (2022), Families of discrete circular distributions with some novel applications, Sankhya A.
Karthik Sriram and Peng Shi (2020), Stochastic loss reserving: A new perspective from a Dirichlet model, Journal of Risk and Insurance. [Awarded the Casualty Actuarial Society Best Paper Award by the American Risk and Insurance Association]
Dhruv Gupta and Karthik Sriram (2018), Impact of security expenditures in military alliances on violence from non-state actors: evidence from India. World Development, Vol 107, pg 338-357.
Kanti V Mardia, Karthik Sriram and Charlotte Deane (2018), A statistical model for helices with applications, Biometrics, Vol 74, No 3, pg 845-854.
Karthik Sriram and R.V. Ramamoorthi (2017), Correction to :"posterior consistency of Bayesian quantile regression based on the misspecified asymmetric Laplace density", Bayesian Analysis, Vol 12, No 4, pg 1217-1219.
Karthik Sriram, Peng Shi, and Pulak Ghosh (2016) , A Bayesian quantile regression model for insurance company costs data, Journal of Royal Statistical Society-Series A, Vol 179, Issue 1, pg 177-202.
Karthik Sriram, R.V. Ramamoorthi, and Pulak Ghosh (2016), On Bayesian Quantile Regression Using a Pseudo-joint Asymmetric Laplace Likelihood. Sankhya A, Vol 78, issue 1, pg 87-104
Karthik Sriram (2015), A sandwich likelihood correction for Bayesian quantile regression based on the misspecified asymmetric Laplace density, Statistics and Probability Letters, Vol 107, pg 18-26.
R.V. Ramamoorthi, Karthik Sriram, and Ryan Martin (2015), On posterior concentration in misspecified models, Bayesian Analysis, Vol 10, No. 4, pg 759-789.
Karthik Sriram, R.V. Ramamoorthi, and Pulak Ghosh (2013), Posterior consistency of Bayesian quantile regression based on the misspecified asymmetric Laplace density, Bayesian Analysis, Vol 8, No. 2, pg 479-504.
Karthik Sriram and R.V. Ramamoorthi, On posterior concentration rates for Bayesian quantile regression based on the misspecified asymmetric Laplace likelihood
