most citedBayesian Parameter Inference for Partially Observed Diffusions using Multilevel Stochastic Runge-Kutta Methods

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

stat.CO2023

Unbiased and Multilevel Methods for a Class of Diffusions Partially Observed via Marked Point Processes

Miguel Alvarez, Ajay Jasra, Hamza Ruzayqat

In this article we consider the filtering problem associated to partially observed diffusions, with observations following a marked point process. In the model, the data form a poi…

math.PR2023

On Time Uniform Wong-Zakai Approximation Theorems

Pierre Del Moral, Shulan Hu, Ajay Jasra +2

We consider the long time behavior of Wong-Zakai approximations of stochastic differential equations. These piecewise smooth diffusion approximations are of great importance in man…

stat.CO20231 cited

Bayesian Parameter Inference for Partially Observed Diffusions using Multilevel Stochastic Runge-Kutta Methods

Pierre Del Moral, Shulan Hu, Ajay Jasra +2

We consider the problem of Bayesian estimation of static parameters associated to a partially and discretely observed diffusion process. We assume that the exact transition dynamic…

stat.CO2023

Unbiased Parameter Estimation for Partially Observed Diffusions

Elsiddig Awadelkarim, Ajay Jasra, Hamza Ruzayqat

In this article we consider the estimation of static parameters for partially observed diffusion process with discrete-time observations over a fixed time interval. In particular,…

stat.CO2021

Unbiased Parameter Inference for a Class of Partially Observed Levy-Process Models

Hamza Ruzayqat, Ajay Jasra

We consider the problem of static Bayesian inference for partially observed Levy-process models. We develop a methodology which allows one to infer static parameters and some state…