activity
20172025
most citedModelling daily weight variation in honey bee hives

1 citations · 2 across the 6 of their papers we have counts for

collaborators

9 papers

stat.AP2025★ 1 cited

Assessing Honey Bee Colony Health Using Temperature Time Series

Karina Arias-Calluari, Theotime Colin, Tanya Latty +2

Honey bees face an increasing number of stressors that disrupt the natural behaviour of colonies and, in extreme cases, can lead to their collapse. Quantifying the status and resil…

q-fin.ST2024

Comparative analysis of stationarity for Bitcoin and the S&P500

Yaoyue Tang, Karina Arias-Calluari, Michael S. Harré

This paper compares and contrasts stationarity between the conventional stock market and cryptocurrency. The dataset used for the analysis is the intraday price indices of the S&P5…

q-fin.ST2024

Stylized Facts of High-Frequency Bitcoin Time Series

Yaoyue Tang, Karina Arias-Calluari, M. N. Najafi +2

This paper analyses the high-frequency intraday Bitcoin dataset from 2019 to 2022. During this time frame, the Bitcoin market index exhibited two distinct periods, 2019-20 and 2021…

cond-mat.stat-mech2023

Variable order porous media equations: Application on modeling the S&P500 and Bitcoin price return

Yaoyue Tang, Fatemeh Gharari, Karina Arias-Calluari +2

This article reveals a specific category of solutions for the Variable Order (VO) nonlinear fractional Fokker-Planck equations. These solutions are formulated using VO -Ga…

physics.bio-ph2022★ 1 cited

Modelling daily weight variation in honey bee hives

Karina Arias-Calluari, Theotime Colin, Tanya Latty +2

A quantitative understanding of the dynamics of bee colonies is important to support global efforts to improve bee health and enhance pollination services. Traditional approaches f…

cond-mat.stat-mech2020

Local and Non-local Fractional Porous Media Equations

Fatemeh Gharari, Karina Arias-Calluari, Fernando Alonso-Marroquin +1

Recently it was observed that the probability distribution of the price return in S\&P500 can be modeled by -Gaussian distributions, where various phases (weak, strong super dif…