Overview
I am a lecturer in the statistics research group since Autumn 2024.
Previously, I was a postdoc at Auburn University (USA), under the guidance of Dr. Le Chen, from Fall 2022 to Summer 2024. Prior to that, from Fall 2020 to Summer 2022, I worked as a postdoc in the mathematical biology group led by Prof. Carsten Wiuf at the University of Copenhagen (Denmark), following the completion of my Ph.D. in 2020, which was jointly supervised by Prof. Yaozhong Hu and Prof. David Nualart at the University of Kansas (USA) in 2020.
My research interests include both theoretical and applied probability, specifically in the following areas
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Malliavin calculus
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Stochastic partial differential equations
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Stein's method
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Chemical reaction networks
Publication
2024
- Hu, Y., Wang, X., Xia, P. and Zheng, J. 2024. Moment asymptotics for super-Brownian motions. Bernoulli 30(4), pp. 3119-3136. (10.3150/23-BEJ1708)
- Hu, Y., Wang, X. and Xia, P. 2024. Moment asymptotics for super-Brownian motions. Bernoulli 30(4), pp. 3119 - 3136. (10.3150/23-BEJ1708)
- Chen, L., Kuzgun, S., Mueller, C. and Xia, P. 2024. On the radius of self-repellent fractional Brownian motion. Journal of Statistical Physics 191(2), article number: 19. (10.1007/s10955-023-03227-y)
- Chen, L., Kuzgun, S., Mueller, C. and Xia, P. 2024. On the radius of self-repellent fractional Brownian motion. Journal of Statistical Physics 191, article number: 19. (10.1007/s10955-023-03227-y)
2023
- Hu, Y., Kouritzin, M. A., Xia, P. and Zheng, J. 2023. On mean-field super-Brownian motions. The Annals of Applied Probability 33(5), pp. 3872-3915. (10.1214/22-AAP1909)
- Hoessly, L., Wiuf, C. and Xia, P. 2023. On the sum of chemical reactions. European Journal of Applied Mathematics 34(2), pp. 303-325. (10.1017/S0956792522000146)
2022
- Nualart, D., Xia, P. and Zheng, G. 2022. Quantitative central limit theorems for the parabolic Anderson model driven by colored noises. Electronic Journal of Probability 27, pp. 1-43. (10.1214/22-ejp847)
2020
- Ma, N., Nualart, D. and Xia, P. 2020. Intermittency for the parabolic Anderson model of Skorohod type driven by a rough noise. Electronic Communications in Probability 25, pp. 1-10., article number: 48. (10.1214/20-ecp327)
- Nualart, D. and Xia, P. 2020. On nonlinear rough paths. ALEA : Latin American Journal of Probability and Mathematical Statistics 17(1), pp. 545-587. (10.30757/alea.v17-22)
2019
- Hu, Y., Nualart, D. and Xia, P. 2019. Hölder continuity of the solutions to a class of SPDE’s arising from branching particle systems in a random environment. Electronic Journal of Probability 24, pp. 1-52., article number: 105. (10.1214/19-ejp357)
Articles
- Hu, Y., Wang, X., Xia, P. and Zheng, J. 2024. Moment asymptotics for super-Brownian motions. Bernoulli 30(4), pp. 3119-3136. (10.3150/23-BEJ1708)
- Hu, Y., Wang, X. and Xia, P. 2024. Moment asymptotics for super-Brownian motions. Bernoulli 30(4), pp. 3119 - 3136. (10.3150/23-BEJ1708)
- Chen, L., Kuzgun, S., Mueller, C. and Xia, P. 2024. On the radius of self-repellent fractional Brownian motion. Journal of Statistical Physics 191(2), article number: 19. (10.1007/s10955-023-03227-y)
- Chen, L., Kuzgun, S., Mueller, C. and Xia, P. 2024. On the radius of self-repellent fractional Brownian motion. Journal of Statistical Physics 191, article number: 19. (10.1007/s10955-023-03227-y)
- Hu, Y., Kouritzin, M. A., Xia, P. and Zheng, J. 2023. On mean-field super-Brownian motions. The Annals of Applied Probability 33(5), pp. 3872-3915. (10.1214/22-AAP1909)
- Hoessly, L., Wiuf, C. and Xia, P. 2023. On the sum of chemical reactions. European Journal of Applied Mathematics 34(2), pp. 303-325. (10.1017/S0956792522000146)
- Nualart, D., Xia, P. and Zheng, G. 2022. Quantitative central limit theorems for the parabolic Anderson model driven by colored noises. Electronic Journal of Probability 27, pp. 1-43. (10.1214/22-ejp847)
- Ma, N., Nualart, D. and Xia, P. 2020. Intermittency for the parabolic Anderson model of Skorohod type driven by a rough noise. Electronic Communications in Probability 25, pp. 1-10., article number: 48. (10.1214/20-ecp327)
- Nualart, D. and Xia, P. 2020. On nonlinear rough paths. ALEA : Latin American Journal of Probability and Mathematical Statistics 17(1), pp. 545-587. (10.30757/alea.v17-22)
- Hu, Y., Nualart, D. and Xia, P. 2019. Hölder continuity of the solutions to a class of SPDE’s arising from branching particle systems in a random environment. Electronic Journal of Probability 24, pp. 1-52., article number: 105. (10.1214/19-ejp357)
Research
My research interests include both theoretical and applied probability, with a specific focus on two compelling areas: stochastic partial differential equations (SPDEs), and the theory of chemical reaction networks (CRNs).
- The theory of SPDEs merges classical partial differential equations (PDEs) with random (stochastic) fluctuations. These equations play a pivotal role as stochastic models across diverse scientific domains, including neurophysiology, environmental science, chemical reaction-diffusion, infinite particle systems, and statistical mechanics.
Two equations I am focusing on include:
- The parabolic Anderson model (PAM), initially introduced by physicist Philip Anderson in 1960’s on the entrapment of electrons in crystals with impurities.
- The super Brownian motion (sBm, aka. Dawson-Watanabe superprocess), the hydrodynamic limit of a sequence of branching particle systems, involving a non-Lipschitz diffusion coefficient.
For these equations, I am interested in the properties of their solutions, such as existence and uniqueness, moment properties, long-term behaviour, spatial averaging, etc.
- The theory of CRNs serves as a powerful tool for modelling the complex dynamics of real-world (bio)chemical systems. Originating in the early 20th century, it initially engaged chemists and physicists studying simultaneous reactions within a closed system. Over the past half-century, this theory has evolved into a distinct mathematical field, borrowing tools from graph theory, dynamical systems, algebraic geometry, probability theory, and computer science. My research in this area focuses on the explicit formulation of the stationary distributions of stochastically modelled CRNs.
Please refer to my Google Scholar page for a complete list of my publications.
Teaching
Current Courses.
Past Courses.
Auburn University
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STAT 3010: Statistics for Engineers and Scientists (using R).
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MATH 1680: Calculus with business applications I.
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STAT 2510: Statistics for Biological and Health Sciences (using R).
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Project in Statistics.
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Stochastic Analysis.
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Graphical Models.
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MATH 125: Engineering Calculus I.
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MATH 115: Business Calculus I.
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MATH 110: Calculus I.
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MATH 207: Numerical analysis (using Matlab).
Biography
Previous positions
- 2022--2024 Postdoc - Auburn University, Auburn, USA.
- 2020--2022 Postdoc - University of Copenhagen, Copenhagen, Denmark.
Education
- 2020 PhD - University of Kansas, Lawrence, USA.
- 2014 MSc - University of Macau, Macau, China.
- 2011 BSc - Wuhan University, Wuhan, China.
Contact Details
Research themes
Specialisms
- Probability theory