activity
20182021
most citedUnified Discrete-Time Factor Stochastic Volatility and Continuous-Time Ito Models for Combining Inference Based on Low-Frequency and High-Frequency

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

stat.OT2021

Statistical Analysis of Quantum Annealing

Xinyu Song, Yazhen Wang, Shang Wu +1

Quantum computers use quantum resources to carry out computational tasks and may outperform classical computers in solving certain computational problems. Special-purpose quantum c…

stat.ME2020★ 3 cited

Unified Discrete-Time Factor Stochastic Volatility and Continuous-Time Ito Models for Combining Inference Based on Low-Frequency and High-Frequency

Donggyu Kim, Xinyu Song, Yazhen Wang

This paper introduces unified models for high-dimensional factor-based Ito process, which can accommodate both continuous-time Ito diffusion and discrete-time stochastic volatility…

stat.AP2019

Large Volatility Matrix Prediction with High-Frequency Data

Xinyu Song

We provide a novel method for large volatility matrix prediction with high-frequency data by applying eigen-decomposition to daily realized volatility matrix estimators and capturi…

stat.ME2019

Volatility Analysis with Realized GARCH-Ito Models

Xinyu Song, Donggyu Kim, Huiling Yuan +4

This paper introduces a unified approach for modeling high-frequency financial data that can accommodate both the continuous-time jump-diffusion and discrete-time realized GARCH mo…

q-bio.PE2018★ 1 cited

Thresholds and bistability in HIV infection models with oxidative stress

Shaoli Wang, Fei Xu, Xinyu Song

Oxidative stress, a reaction caused by the imbalance between the reactive oxygen species of human organism and its ability to detoxify reactive intermediates and to repair the resu…