Indian Institute of Management Ahmedabad (since Jan 2013)
Previous Work Experience: Risk Management, Capital Allocation, Pricing, Portfolio Analytics.
GE Commercial Finance, CT, USA (2005-2009)
GE Insurance Solutions, KS, USA (2003-2005)
GE Capital International Services, Bangalore, India (2001-2003)
1. Probability and Statistics
2. Statistical Methods for Data Analysis (Sampling and Multivariate Techniques)
3. Bayesian Methods for Data Analysis
4. R Work shop
5. Linear Algebra
Some Teaching Material
My research is motivated by interdisciplinary problems that require good statistical solutions, especially those that could benefit from Bayesian formulations. My interest is in the application of statistical methods and also relevant theoretical developments that guide their appropriate use. My current interests are in Bayesian methods, Quantile Regression and Model Misspecification with applications to problems in Insurance, Bio-informatics, and National Security.
List of Research Paper Publications
1. 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.
2. R.V. Ramamoorthi, Karthik Sriram, and Ryan Martin (2015), On posterior concentration in misspecified models, Bayesian Analysis, Vol 10, No. 4, pg 759-789.
3. 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.
4. 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.
5. 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.
6. 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.
7. Kanti V Mardia, Karthik Sriram and Charlotte Deane (2018), A statistical model for helices with applications, Biometrics, Vol 74, No 3, pg 845-854.
Also see Supplementary Material for the paper.
8. 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.
9. Karthik Sriram and Peng Shi (2020), Stochastic loss reserving: A new perspective from a Dirichlet model, Journal of Risk and Insurance. (Available Online)
Karthik Sriram and R.V. Ramamoorthi, On posterior concentration rates for Bayesian quantile regression based on the misspecified asymmetric Laplace likelihood. (Arxiv working paper)