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20212026
most citedQuasi-likelihood-based EM algorithm for regime-switching SDE

1 citations · 1 across the 8 of their papers we have counts for

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8 papers

math.ST2026

Nonparametric Inference for Semigroup Blocks of Switching Diffusions

Yuzhong Cheng

Regime-conditioned transition probabilities and moments are basic inputs for prediction and decision making in hybrid systems, but their short-time infinitesimal structure is not d…

math.ST2026

Ergodicity and High-Frequency Inference for Hybrid Switching Lévy-Driven Stochastic Differential Equations

Yuzhong Cheng

Hybrid switching Lévy-driven stochastic differential equations with pure-jump noise and state-dependent switching rates are studied under high-frequency observation. A three-stage…

math.ST2026

Debiased parametric inference for regime-switching jump diffusions with infinite variation jumps

Yuzhong Cheng

We study high-frequency inference for an ergodic regime-switching jump diffusion with locally stable infinite-variation jumps. The state and the finite-state regime are observed on…

stat.CO2024★ 1 cited

Quasi-likelihood-based EM algorithm for regime-switching SDE

Yuzhong Cheng, Hiroki Masuda

This paper considers estimating the parameters in a regime-switching stochastic differential equation(SDE) driven by Normal Inverse Gaussian(NIG) noise. The model under considerati…

math.ST2024

Statistical inference for ergodic diffusion with Markovian switching

Yuzhong Cheng, Hiroki Masuda

This study explores a Gaussian quasi-likelihood approach for estimating parameters of diffusion processes with Markovian regime switching. Assuming the ergodicity under high-freque…

cs.LG2024

Deep learning-based method for weather forecasting: A case study in Itoshima

Yuzhong Cheng, Linh Thi Hoai Nguyen, Akinori Ozaki +1

Accurate weather forecasting is of paramount importance for a wide range of practical applications, drawing substantial scientific and societal interest. However, the intricacies o…

stat.ML2024

Efficient CNN-LSTM based Parameter Estimation of Levy Driven Stochastic Differential Equations

Shuaiyu Li, Yang Ruan, Changzhou Long +1

This study addresses the challenges in parameter estimation of stochastic differential equations driven by non-Gaussian noises, which are critical in understanding dynamic phenomen…

math.ST2021

Estimation of ergodic square-root diffusion under high-frequency sampling

Yuzhong Cheng, Nicole Hufnagel, Hiroki Masuda

Gaussian quasi-likelihood estimation of the parameter in the square-root diffusion process is studied under high frequency sampling. Different from the previous study of Overbe…