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    Article

    Statistical analysis of discretely sampled semilinear SPDEs: a power variation approach

    Motivated by problems from statistical analysis for discretely sampled SPDEs, first we derive central limit theorems for higher order finite differences applied to stochastic processes with arbitrary finitely ...

    Igor Cialenco, Hyun-Jung Kim in Stochastics and Partial Differential Equat… (2024)

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    Article

    Risk filtering and risk-averse control of Markovian systems subject to model uncertainty

    We consider a Markov decision process subject to model uncertainty in a Bayesian framework, where we assume that the state process is observed but its law is unknown to the observer. In addition, while the sta...

    Tomasz R. Bielecki, Igor Cialenco in Mathematical Methods of Operations Research (2023)

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    Chapter

    Risk-Sensitive Markov Decision Problems under Model Uncertainty: Finite Time Horizon Case

    In this paper we study a class of risk-sensitive Markovian control problems in discrete time subject to model uncertainty. We consider a risk-sensitive discounted cost criterion with finite time horizon. The u...

    Tomasz R. Bielecki, Tao Chen, Igor Cialenco in Stochastic Analysis, Filtering, and Stocha… (2022)

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    Article

    Drift estimation for discretely sampled SPDEs

    The aim of this paper is to study the asymptotic properties of the maximum likelihood estimator (MLE) of the drift coefficient for fractional stochastic heat equation driven by an additive space-time noise. We...

    Igor Cialenco, Francisco Delgado-Vences in Stochastics and Partial Differential Equat… (2020)

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    Article

    Statistical analysis of some evolution equations driven by space-only noise

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

    Igor Cialenco, Hyun-Jung Kim in Statistical Inference for Stochastic Proce… (2020)

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    Article

    Statistical inference for SPDEs: an overview

    The aim of this work is to give an overview of the recent developments in the area of statistical inference for parabolic stochastic partial differential equations. Significant part of the paper is devoted to ...

    Igor Cialenco in Statistical Inference for Stochastic Processes (2018)

  7. Article

    Open Access

    Arbitrage-free pricing of derivatives in nonlinear market models

    The objective of this paper is to provide a comprehensive study of the no-arbitrage pricing of financial derivatives in the presence of funding costs, the counterparty credit risk and market frictions affectin...

    Tomasz R. Bielecki, Igor Cialenco in Probability, Uncertainty and Quantitative … (2018)

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    Article

    Trajectory fitting estimators for SPDEs driven by additive noise

    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 an additive space-time noise....

    Igor Cialenco, Ruoting Gong, Yicong Huang in Statistical Inference for Stochastic Processes (2018)

  9. Article

    Open Access

    A survey of time consistency of dynamic risk measures and dynamic performance measures in discrete time: LM-measure perspective

    In this work we give a comprehensive overview of the time consistency property of dynamic risk and performance measures, focusing on a the discrete time setup. The two key operational concepts used throughout ...

    Tomasz R. Bielecki, Igor Cialenco in Probability, Uncertainty and Quantitative … (2017)

  10. Article

    A note on error estimation for hypothesis testing problems for some linear SPDEs

    The aim of the present paper is to estimate and control the Type I and Type II errors of a simple hypothesis testing problem of the drift/viscosity coefficient for stochastic fractional heat equation driven by...

    Igor Cialenco, Liaosha Xu in Stochastic Partial Differential Equations:… (2014)

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    Article

    Parameter estimation in diagonalizable bilinear stochastic parabolic equations

    A parameter estimation problem is considered for a stochastic parabolic equation with multiplicative noise under the assumption that the equation can be reduced to an infinite system of uncoupled diffusion pro...

    Igor Cialenco, Sergey V. Lototsky in Statistical Inference for Stochastic Processes (2009)