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math.ST2026
Weak Convergence Rates for Partial-Sum Processes of Nonlinear Stochastic Approximation
Xiang Li, Jiadong Liang, Zhihua Zhang
Stochastic approximation provides a general framework for online estimation and optimization. Statistical inference based on the resulting estimates requires understanding their fl…
math.ST2023★ 1 cited
Online Statistical Inference for Nonlinear Stochastic Approximation with Markovian Data
Xiang Li, Jiadong Liang, Zhihua Zhang
Many stochastic approximation (SA) algorithms evolve along a single trajectory, making uncertainty quantification challenging under nonlinear dynamics and Markov dependence. We dev…