Universal algorithm for identification of fractional Brownian motion. A case of telomere subdiffusion

K Burnecki, E Kepten, J Janczura, I Bronshtein… - Biophysical journal, 2012 - cell.com
We present a systematic statistical analysis of the recently measured individual trajectories
of fluorescently labeled telomeres in the nucleus of living human cells. The experiments …

Algorithms for testing of fractional dynamics: a practical guide to ARFIMA modelling

K Burnecki, A Weron - Journal of Statistical Mechanics: Theory …, 2014 - iopscience.iop.org
In this survey paper we present a systematic methodology which demonstrates how to
identify the origins of fractional dynamics. We consider three mechanisms which lead to it …

Estimating the anomalous diffusion exponent for single particle tracking data with measurement errors-An alternative approach

K Burnecki, E Kepten, Y Garini, G Sikora, A Weron - Scientific reports, 2015 - nature.com
Accurately characterizing the anomalous diffusion of a tracer particle has become a central
issue in biophysics. However, measurement errors raise difficulty in the characterization of …

Chromosomal locus tracking with proper accounting of static and dynamic errors

MP Backlund, R Joyner, WE Moerner - Physical Review E, 2015 - APS
The mean-squared displacement (MSD) and velocity autocorrelation (VAC) of tracked single
particles or molecules are ubiquitous metrics for extracting parameters that describe the …

[HTML][HTML] Classification of random trajectories based on the fractional Lévy stable motion

J Janczura, K Burnecki, M Muszkieta… - Chaos, Solitons & …, 2022 - Elsevier
In this paper we propose a new approach for the analysis of experimental data based on the
fractional Lévy stable motion (FLSM) and apply it to the Golding–Cox mRNA dataset. The …

Generalized fractional diffusion equation with arbitrary time varying diffusivity

AM Tawfik, HM Abdelhamid - Applied Mathematics and Computation, 2021 - Elsevier
Anomalous diffusion processes in many complex systems are frequently described by the
diffusion equation with a time-dependent diffusion coefficient. This paper introduces an …

Identification and validation of stable ARFIMA processes with application to UMTS data

K Burnecki, G Sikora - Chaos, Solitons & Fractals, 2017 - Elsevier
In this paper we present an identification and validation scheme for stable autoregressive
fractionally integrated moving average (ARFIMA) time series. The identification part relies on …

Method to characterize collective impact of factors on indoor air

A Szczurek, M Maciejewska, M Teuerle… - Physica A: Statistical …, 2015 - Elsevier
One of the most important problems in studies of building environment is a description of
how it is influenced by various dynamically changing factors. In this paper we characterized …

FARIMA processes with application to biophysical data

K Burnecki - Journal of Statistical Mechanics: Theory and …, 2012 - iopscience.iop.org
In this paper we show fractional autoregressive integrated moving average (FARIMA) time
series with a negative memory parameter and stable non-Gaussian noise model movements …

Identifying diffusive motions in single-particle trajectories on the plasma membrane via fractional time-series models

K Burnecki, G Sikora, A Weron, MM Tamkun, D Krapf - Physical Review E, 2019 - APS
In this paper we show that an autoregressive fractionally integrated moving average time-
series model can identify two types of motion of membrane proteins on the surface of …