3 papers
stat.ME2026
Nonparametric Bayesian Calibration of Computer Models
Haiyi Shi, Lei Yang, Jiarui Chi +4
Combining field data and computer models is a crucial step for making inferences, predictions, and decisions for complex science and engineering systems. We formulate and analyze a…
q-bio.NC2025
ReBaCCA-ss: Relevance-Balanced Continuum Correlation Analysis with Smoothing and Surrogating for Quantifying Similarity Between Population Spiking Activities
Xiang Zhang, Chenlin Xu, Zhouxiao Lu +2
Quantifying similarity between population spike patterns is essential for understanding how neural dynamics encode information. Traditional approaches, which combine kernel smoothi…
math.ST2024
With random regressors, least squares inference is robust to correlated errors with unknown correlation structure
Zifeng Zhang, Peng Ding, Wen Zhou +1
Linear regression is arguably the most widely used statistical method. With fixed regressors and correlated errors, the conventional wisdom is to modify the variance-covariance est…