5 papers
Empirical Likelihood with Generative AI
Jiguang Li, Sid Kankanala, Veronika Rockova
Moment conditions are widely used to identify parameters in models where the full likelihood is either unknown or intentionally left unspecified. Empirical likelihood methods addre…
Dynamic Treatment on Networks
Bengusu Nar, Jiguang Li, Veronika Ročková +1
In networks, effective dynamic treatment allocation requires deciding both whom to treat and also when, so as to amplify policy impact through spillovers. An early intervention at…
Robust Bayesian Optimization via Tempered Posteriors
Jiguang Li, Hengrui Luo
Bayesian optimization (BO) iteratively fits a Gaussian process (GP) surrogate to accumulated evaluations and selects new queries via an acquisition function. Under local misspecifi…
Deep Computerized Adaptive Testing
Jiguang Li, Robert Gibbons, Veronika Rockova
Computerized adaptive tests (CATs) play a crucial role in educational assessment and diagnostic screening in behavioral health. Unlike traditional linear tests that administer a fi…
Sparse Bayesian Multidimensional Item Response Theory
Jiguang Li, Robert Gibbons, Veronika Rockova
Multivariate Item Response Theory (MIRT) is sought-after widely by applied researchers looking for interpretable (sparse) explanations underlying response patterns in questionnaire…