Moment inequalities provide a framework to extract reliable information from models where parameters cannot be precisely identified. Owing to either optimisation behaviour by individual agents or ...
Measurement error models address the deviation between observed and true values, thereby refining the reliability of statistical inference. These frameworks are ...
We provide novel, high-order accurate methods for non-parametric inference on quantile differences between two populations in both unconditional and conditional settings. These quantile differences ...
Eleanor has an undergraduate degree in zoology from the University of Reading and a master’s in wildlife documentary production from the University of Salford.View full profile Eleanor has an ...
We investigate the behavior of Fourier transforms for a wide class of nonstationary nonlinear processes. Asymptotic central and noncentral limit theorems are established for a class of nondegenerate ...
Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...
Scarlett Howard received funding from Australian Government Research Training Program (RTP) Scholarship, RMIT University, Fyssen Foundation, L’Oreal-UNESCO for Women in Science Young Talents French ...