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Ratio estimator

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Ratio estimator

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Causal inference with recurrent and competing events

Unbiased likelihood-based estimation of Wright-Fisher diffusion processes

Peak Value-at-Risk Estimation for Stochastic Differential Equations using Occupation Measures

Nonparametric estimation for SDE with sparsely sampled paths: An FDA perspective

Stochastic distributed learning with gradient quantization and double-variance reduction

Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

Does jackknife scale really matter for accurate large-scale structure covariances?

No-Regret Learning from Partially Observed Data in Repeated Auctions

Adaptive isogeometric analysis on two-dimensional trimmed domains based on a hierarchical approach

Frequency domain theory for functional time series: Variance decomposition and an invariance principle