2 citations · 4 across the 6 of their papers we have counts for
6 papers
Self-Normalized Concentration Inequalities of Marginal Mean with Sample Variance Only
Zihao Yuan
(This is the third version of a working paper.) We develop a family of self-normalized concentration inequalities for marginal mean under martingale-difference structure and $ϕ/\ti…
Exponential Inequalities for Some Mixing Processes and Dynamic Systems
Zihao Yuan, Holger Dette
Many important dynamic systems, time series models or even algorithms exhibit non-strong mixing properties. In this paper, we introduce the general concept of $\mathcal{C}_{p,\math…
Bernstein-type Inequalities and Nonparametric Estimation under Near-Epoch Dependence
Zihao Yuan, Martin Spindler
The major contributions of this paper lie in two aspects. Firstly, we focus on deriving Bernstein-type inequalities for both geometric and algebraic irregularly-spaced NED random f…
An Note on Why Geographically Weighted Regression Overcomes Multidimensional-Kernel-Based Varying-Coefficient Model
Zihao Yuan
It is widely known that geographically weighted regression(GWR) is essentially same as varying-coefficient model. In the former research about varying-coefficient model, scholars t…
A Nonparametric Approach to Measure the Heterogeneous Spatial Association: Under Spatial Temporal Data
Zihao Yuan
Spatial association and heterogeneity are two critical areas in the research about spatial analysis, geography, statistics and so on. Though large amounts of outstanding methods ha…
Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks
Ji Li, Zihao Yuan, Zhe Li +5
Recently, Deep Convolutional Neural Networks (DCNNs) have made unprecedented progress, achieving the accuracy close to, or even better than human-level perception in various tasks.…