182 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of MelbourneAU58 papers
- Queensland University of TechnologyAU33 papers
- Monash UniversityAU18 papers
- University of Science and Technology of ChinaCN16 papers
- The University of AdelaideAU10 papers
- Australian Research CouncilAU7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Minjiang UniversityCN6 papers
- University of OxfordGB6 papers
- University of Technology SydneyAU6 papers
- UNSW SydneyAU6 papers
- The University of SydneyAU5 papers
130 papers
Random walk models in the life sciences: including births, deaths and local interactions
Michael J. Plank, Matthew J. Simpson, Ruth E. Baker
Random walks and related spatial stochastic models have been used in a range of application areas including animal and plant ecology, infectious disease epidemiology, developmental…
Geometric properties of the complete-graph Ising model in the loop representation
Zhiyi Li, ZongZheng Zhou, Sheng Fang +1
The exact solution of the Ising model on the complete graph (CG) provides an important, though mean-field, insight for the theory of continuous phase transitions. Besides the origi…
Geometric scaling behaviors of the Fortuin-Kasteleyn Ising model in high dimensions
Sheng Fang, Zongzheng Zhou, Youjin Deng
Recently, we argued [Chin. Phys. Lett. , 080502 (2022)] that the Ising model simultaneously exhibits two upper critical dimensions in the Fortuin-Kasteleyn (FK…
Information flow estimation: a study of news on Twitter
Tobin South, Bridget Smart, Matthew Roughan +1
News media has long been an ecosystem of creation, reproduction, and critique, where news outlets report on current events and add commentary to ongoing stories. Understanding the…
Strategic model reduction by analysing model sloppiness: a case study in coral calcification
Sarah A. Vollert, Christopher Drovandi, Gloria M. Monsalve-Bravo +1
It can be difficult to identify ways to reduce the complexity of large models whilst maintaining predictive power, particularly where there are hidden parameter interdependencies.…
Stateful to Stateless: Modelling Stateless Ethereum
Sandra Johnson, David Hyland-Wood, Anders L Madsen +1
The concept of 'Stateless Ethereum' was conceived with the primary aim of mitigating Ethereum's unbounded state growth. The key facilitator of Stateless Ethereum is through the int…
Unwrapped two-point functions on high-dimensional tori
Youjin Deng, Timothy M. Garoni, Jens Grimm +1
We study unwrapped two-point functions for the Ising model, the self-avoiding walk and a random-length loop-erased random walk on high-dimensional lattices with periodic boundary c…
Analysis of sloppiness in model simulations: unveiling parameter uncertainty when mathematical models are fitted to data
Gloria M. Monsalve-Bravo, Brodie A. J. Lawson, Christopher Drovandi +7
This work introduces a comprehensive approach to assess the sensitivity of model outputs to changes in parameter values, constrained by the combination of prior beliefs and data. T…
Promoting and countering misinformation during Australia's 2019-2020 bushfires: A case study of polarisation
Derek Weber, Lucia Falzon, Lewis Mitchell +1
During Australia's unprecedented bushfires in 2019-2020, misinformation blaming arson resurfaced on Twitter using #ArsonEmergency. The extent to which bots were responsible for dis…
Geometric Upper Critical Dimensions of the Ising Model
Sheng Fang, Zongzheng Zhou, Youjin Deng
The upper critical dimension of the Ising model is known to be , above which critical behavior is regarded as trivial. We hereby argue from extensive simulations that, in th…
Circulant -ensembles in the thermodynamic limit
Peter J. Forrester
-ensembles are a class of determinantal point processes which can be viewed as a statistical mechanical systems in the grand canonical ensemble. Circulant -ensembles are the…
Engineering 3D theories using the quantum affine algebra
Jean-Emile Bourgine
The algebraic engineering technique is applied to a class of 3D gauge theories on the omega-deformed background . The vortex partition fun…
Understanding links between water-quality variables and nitrate concentration in freshwater streams using high-frequency sensor data
Claire Kermorvant, Benoit Liquet, Guy Litt +5
Real time monitoring using in situ sensors is becoming a common approach for measuring water quality within watersheds. High frequency measurements produce big data sets that prese…
Innovative Approaches in Soil Carbon Sequestration Modelling for Better Prediction with Limited Data
Mohammad Javad Davoudabadi, Daniel Pagendam, Christopher Drovandi +2
Soil carbon accounting and prediction play a key role in building decision support systems for land managers selling carbon credits, in the spirit of the Paris and Kyoto protocol a…
Limiting current distribution for a two species asymmetric exclusion process
Zeying Chen, Jan de Gier, Iori Hiki +2
We study current fluctuations of a two-species asymmetric exclusion process, known as the Arndt-Heinzel-Rittenberg model. For a step-Bernoulli initial condition with finite number…
Exploring the effect of streamed social media data variations on social network analysis
Derek Weber, Mehwish Nasim, Lewis Mitchell +1
To study the effects of Online Social Network (OSN) activity on real-world offline events, researchers need access to OSN data, the reliability of which has particular implications…
Branching out into Structural Identifiability Analysis with Maple: Interactive Exploration of Uncontrolled Linear Time-Invariant Structures
Jason M. Whyte
Suppose we wish to predict the behaviour of a physical system. We may choose to represent the system by model structure (a set of related mathematical models defined by paramet…
Logarithmic finite-size scaling of the self-avoiding walk at four dimensions
Sheng Fang, Youjin Deng, Zongzheng Zhou
The -vector spin model, which includes the self-avoiding walk (SAW) as a special case for the limit, has an upper critical dimensionality at four spatial dime…
Bayesian spatio-temporal models for stream networks
Edgar Santos-Fernandez, Jay M. Ver Hoef, Erin E. Peterson +3
Spatio-temporal models are widely used in many research areas including ecology. The recent proliferation of the use of in-situ sensors in streams and rivers supports space-time wa…
The classical -ensembles with proportional to : from loop equations to Dyson's disordered chain
Peter J. Forrester, Guido Mazzuca
In the classical -ensembles of random matrix theory, setting and taking the limit gives a statistical state depending on . Using the loop equations…
Dyson's disordered linear chain from a random matrix theory viewpoint
Peter J. Forrester
The first work of Dyson relating to random matrix theory, "The dynamics of a disordered linear chain", is reviewed. Contained in this work is an exact solution of a so-called Type…
Model structures and structural identifiability: What? Why? How?
Jason M. Whyte
We may attempt to encapsulate what we know about a physical system by a model structure, . This collection of related models is defined by parametric relationships between syste…
Phase transitions for products of characteristic polynomials under Dyson Brownian motion
Peter J. Forrester, Dang-Zheng Liu
We study the averaged products of characteristic polynomials for the Gaussian and Laguerre -ensembles with external source, and prove Pearcey-type phase transitions for particul…
Joint moments of a characteristic polynomial and its derivative for the circular -ensemble
Peter J. Forrester
The problem of calculating the scaled limit of the joint moments of the characteristic polynomial, and the derivative of the characteristic polynomial, for matrices from the unitar…