Recent Publications

Private minimum Hellinger distance estimation via Hellinger distance differential privacy

Ancestral inference and learning for BPRE

Grouping predictors via network-wide metrics

Functional limit laws for the intensity measure of point   processes and applications

Sharp tail probability estimates for portfolio credit risk

Branching processes in random environments with thresholds

Rare event analysis of minimum Hellinger distance estimates via large deviation theory

Analytical and statistical properties of depth functions motivated by clustering applications

Robust estimation in controlled branching processes: Bayesian estimators via disparities

Robust big data analytics via divergences

Hypothesis testing in finite mixture of regressions: sparsity and model selection uncertainty.

Comparison of egg counting methods in four life stock species.

Research Projects in Progress

• Hellinger distance differential privacy

• Ancestral Inference and learning for branching processes in random environments

• Joint analysis of privacy and security metrics

• Sharp post-model selection inference

• Asymptotic framework for re-identification risk in healthcare databases

• Evolutionary structure of controlled branching processes

• Gibbs conditioning principle and related sharp large deviations for random Lipschitz maps