Statistical Inference for Partially Observed Stochastic Epidemics

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Statistical Inference for Partially Observed Stochastic Epidemics

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Robust discrete choice models with t-distributed kernel errors

Functional data analysis with rough sample paths?

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

A Shape Derivative Approach to Domain Simplification

Towards a multiscale point cloud structural similarity metric

Distributional Regression and Autoregression via Optimal Transport

Regularization for distributionally robust state estimation and prediction

Causal inference with recurrent and competing events

We Need Subject Matter Expertise to Choose and Identify Causal Estimands: Comment on "Estimands for Recurrent Event Endpoints in the Presence of a Terminal Event"

An Unbiased Method of Measuring the Ratio of Two Data Sets

ReLU Neural Network Galerkin BEM