32 citations · 69 across the 8 of their papers we have counts for
8 papers
Predictive Hotspot Mapping for Data-driven Crime Prediction
Karthik Sriram, Ankur Sinha, Suvashis Choudhary
Predictive hotspot mapping is an important problem in crime prediction and control. An accurate hotspot mapping helps in appropriately targeting the available resources to manage c…
Movement of insurgent gangs: A Bayesian kernel density model for incomplete temporal data
Karthik Sriram, Dhruv Gupta, Rajiv Parikh
We develop a Bayesian modeling framework to address a pressing real-life problem faced by the police in tackling insurgent gangs. Unlike criminals associated with common crimes suc…
Families of discrete circular distributions with some novel applications
Kanti V. Mardia, Karthik Sriram
Motivated by some cutting edge circular data such as from Smart Home technologies and roulette spins from online and casino, we construct some new rich classes of discrete distribu…
A new perspective from a Dirichlet model for forecasting outstanding liabilities of nonlife insurers
Karthik Sriram, Peng Shi
Forecasting the outstanding claim liabilities to set adequate reserves is critical for a nonlife insurer's solvency. Chain-Ladder and Bornhuetter-Ferguson are two prominent actuari…
On posterior concentration rates for Bayesian quantile regression based on the misspecified asymmetric Laplace likelihood
Karthik Sriram, R. V. Ramamoorthi
The asymmetric Laplace density (ALD) is used as a working likelihood for Bayesian quantile regression. Sriram et al.(2013) derived posterior consistency for Bayesian linear quantil…
A Sandwich Likelihood Correction for Bayesian Quantile Regression based on the Misspecified Asymmetric Laplace Density
Karthik Sriram
A sandwich likelihood correction is proposed to remedy an inferential limitation of the Bayesian quantile regression approach based on the misspecified asymmetric Laplace density,…