Nonparametric estimation from correlated copies of a drifted process

Key Points

• Nonparametric estimation methods yield increased accuracy and reliability in analyzing drifted processes, which are subject to correlation.
• The analysis demonstrates that incorporating correlated copies into empirical distributions significantly enhances estimation precision.
• Observational analysis utilized stochastic processes to address correlation issues among random variables in drifted processes.
• This study highlights the potential for improved statistical modeling techniques in dynamic systems where drift is a concern.