| Issue Date | Title | Author(s) |
| 2016 | A Bayesian quantile regression model for insurance company costs data | Sriram, Karthik; Shi, P.; Ghosh, P. |
| 2015 | A Bayesian quantile regression model for insurance company costs data | Sriram, Karthik; Shi, Peng; Ghosh, Pulak |
| 2014 | ET Top List: Are Women Getting an Equal Shot? | Sriram, Karthik |
| 2020 | IBNR loss forecasting for Indian insurance companies - analysis of IBNR loss forecasting for Indian insurance companies and related regulatory reporting | Yayavaram, Anish Pratik |
| 5-Apr-2018 | Impact of security expenditures in military alliances on violence from non-state actors: evidence from India | Gupta, Dhruv; Sriram, Karthik |
| 2020 | Multitype branching process: extensions, inferences and applications | Yadav, Sumit Kumar |
| 2023 | Non-euclidean analytics: inference, learning and applications | Majumdar, Sourav |
| 2016 | On Bayesian quantile regression using a pseudo-joint asymmetric laplace likelihood | Sriram, Karthik; Ramamoorthi, R. V.; Ghosh, P. |
| 2015 | On posterior concentration in misspecified models | R. V, Ramamoorthi; Sriram, Karthik; Ryan, Martin |
| 2015 | On posterior concentration in misspecified models | Sriram, Karthik; Ramamoorthi, R. V.; Martin, R. |
| 2013 | Posterior consistency of Bayesian quantile regression based on the misspecified asymmetric laplace density | Sriram, Karthik; Ramamoorthi, R. V.; Ghosh, Pulak |
| 2019 | Regulatory reforms and state supervised corporate bankruptcy reorganization | Abidi, Qambar |
| 2015 | A sandwich likelihood correction for Bayesian quantile regression based on the misspecified asymmetric laplace density | Sriram, Karthik |
| Feb-2015 | A sandwich likelihood for Bayesian quantile regression | Sriram, Karthik |
| Sep-2018 | A Statistical model for helices with applications | Mardia, Kanti V.; Sriram, Karthik; Deane, Charlotte M. |
| 14-May-2020 | Stochastic loss reserving: a new perspective from a Dirichlet model | Sriram, Karthik; Shi, Peng |
| 2016 | Up and down analysis of sensex using bayesian network | Teja, Banothu Nayan; Agrawal, Chanchal |
