Andrew Carter

Andrew V. Carter is an Associate Professor and Graduate Vice Chair in the Department of Statistics and Applied Probability at the University of California, Santa Barbara. His research focuses on asymptotic statistical inference, nonparametric regression, and equivalence theory for statistical experiments.

• Email: carter@pstat.ucsb.edu
• Office: South Hall 5507

Research Interests include nonparametric function estimation, wavelet algorithms, regime-switching models, cluster-robust variance estimation, and Gaussian process approximations. He has worked on extending asymptotic equivalence theory to handle unknown variances, correlated noise, and multidimensional regression problems.

Publications analyze topics such as regime-switching detection in econometric models, deficiency distances between experiments, and applications of wavelet decompositions. His work bridges theoretical statistics with practical challenges in financial, biological, and survey data analysis.