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20072026
most citedApproximation of Stochastic Partial Differential Equations by a Kernel-based Collocation Method

59 citations · 199 across the 36 of their papers we have counts for

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6 papers · 1 filter

math.ST2020★ 3 cited

Parameter estimation for semilinear SPDEs from local measurements

Randolf Altmeyer, Igor Cialenco, Gregor Pasemann

This work contributes to the limited literature on estimating the diffusivity or drift coefficient of nonlinear SPDEs driven by additive noise. Assuming that the solution is measur…

math.ST2019

Statistical Analysis of Some Evolution Equations Driven by Space-only Noise

Igor Cialenco, Hyun-Jung Kim, Sergey V. Lototsky

We study the statistical properties of stochastic evolution equations driven by space-only noise, either additive or multiplicative. While forward problems, such as existence, uniq…

math.ST2018★ 1 cited

Bayesian Estimations for Diagonalizable Bilinear SPDEs

Ziteng Cheng, Igor Cialenco, Ruoting Gong

The main goal of this paper is to study the parameter estimation problem, using the Bayesian methodology, for the drift coefficient of some linear (parabolic) SPDEs driven by a mul…

math.ST2016★ 1 cited

Trajectory Fitting Estimators for SPDEs Driven by Additive Noise

Igor Cialenco, Ruoting Gong, Yicong Huang

In this paper we study the problem of estimating the drift/viscosity coefficient for a large class of linear, parabolic stochastic partial differential equations (SPDEs) driven by…

math.ST2016

Recursive Construction of Confidence Regions

Tomasz R. Bielecki, Tao Chen, Igor Cialenco

Assuming that one-step transition kernel of a discrete time, time-homogenous Markov chain model is parameterized by a parameter , we derive a recursive (in time…

math.ST2013★ 15 cited

Hypothesis testing for stochastic PDEs driven by additive noise

Igor Cialenco, Liaosha Xu

We study the simple hypothesis testing problem for the drift coefficient for stochastic fractional heat equation driven by additive noise. We introduce the notion of asymptotically…