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Selective Review of Penalized Learning Methods for Event Processes
Stacking Weights and Model Space Selection in Frequentist Model Averaging for Benchmark Dose Estimation
Forecasting, Interventions and Selection: The Benefits of a Causal Mortality Model
Why stochastic gradient descent works
Local Independence Testing for Point Processes
Identifiability in Continuous Lyapunov Models
Nonparametric Conditional Local Independence Testing
Graphical modeling of stochastic processes driven by correlated noise
Explainable AI
Soft Maximin Estimation for Heterogeneous Data
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