Inference by Conversion

Inference for eigenvalues and eigenvectors of Gaussian symmetric matrices

Inference for mixtures of symmetric distributions

Inference for Multivariate Normal Mixtures

Inference in HIV dynamics models via hierarchical likelihood

Inference in nonparametric current status models with covariates

Inference in Perturbation Models, Finite Mixtures and Scan Statistics: The Volume-of-Tube Formula

Inference on Eigenvalues of Wishart Distribution Using Asymptotics with respect to the Dispersion of Population Eigenvalues

Inference Under Convex Cone Alternatives for Correlated Data

Inferences from prior-based loss functions

Inferring an optimal Fisher measure

Inferring dynamic genetic networks with low order independencies

Inferring Markov Chains: Bayesian Estimation, Model Comparison, Entropy Rate, and Out-of-class Modeling

Inferring Rankings Using Constrained Sensing

Infinite Viterbi alignments in the two state hidden Markov models

Infinitely exchangeable random graphs generated from a Poisson point process on monotone sets and applications to cluster analysis for networks

Influence tests I: ideal composite hypothesis tests, and causal semimeasures

Information bounds and efficient estimation in a class of censored transformation models

Information bounds for Cox regression models with missing data

Information bounds for Gaussian copulas