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Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
General purpose optimization routines such as nlminb, optim (R) or nlmixed (SAS) are frequently used to estimate model parameters in nonstandard distributions.
A continuous Structural Intervention Distance to compare Causal Graphs
Understanding and adequately assessing the difference between a true and a learnt causal graphs is crucial for causal inference under interventions.
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
We propose to analyse the conditional distributional treatment effect (CoDiTE), which, in contrast to the more common conditional average treatment effect (CATE), is designed to encode a treatment's distributional aspects beyond the mean.
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