Invariant Bayesian estimation on manifolds

Inverse moments of univariate discrete distributions via the Poisson expansion

Inverse Sampling for Nonasymptotic Sequential Estimation of Bounded Variable Means

Inverse semigroup spectral analysis for partially ranked data

Inversion of noisy Radon transform by SVD based needlet

Is Bootstrap Really Helpful in Point Process Statistics?

Is Brownian motion necessary to model high-frequency data?

Is the p-value a good measure of evidence? An asymptotic consistency criterion

Isaac Newton as a Probabilist

Isotonic L_2-projection test for local monotonicity of a hazard

Iterated Filtering

Iterated smoothed bootstrap confidence intervals for population quantiles

Iterative estimating equations: Linear convergence and asymptotic properties

Iterative Feature Selection In Least Square Regression Estimation

Iterative Maximum Likelihood on Networks

Iterative proportional scaling via decomposable submodels for contingency tables