Category: Decision Sciences
Derivative-free Bayesian design method for sequential settings
What the study found The study introduces a gradient-free framework for sequential Bayesian optimal experimental design, a way of choosing experiments using probability and uncertainty, for complex systems where gradient information is unavailable. The framework combines Ensemble Kalman Inversion and the Affine-Invariant Langevin Dynamics sampler, and uses variational Gaussian and parametrized Laplace approximations to make…
Digital technology availability supports higher carbon emission efficiency
Differential game model examining how industrial internet platforms enhance carbon emission efficiency through digital technology integration, government subsidies, and multi-stakeholder.
Spreadsheets can support classroom psychometric analysis
Methodological demonstration of CTT and IRT operationalization in spreadsheet software for classroom assessment analysis and item bank construction using simulated datasets.
Mandatory emissions disclosure is feasible for AI research venues
Feasibility analysis of mandatory emissions disclosure for AI research using tiered policies and Monte-Carlo simulation, demonstrating high coverage with minimal operational burden on research venues.
Willingness to wait varies with endogenous cortisol changes
Within-subject study (N=34) shows endogenous cortisol fluctuations predict intertemporal patience on the scale of seconds but not days, implicating acute stress in choice variability.
