Workshop on
time-series analysis of noisy data

Workshop on
time-series analysis of noisy data

Mountains in the Lake District
13-15 September 2023, Lancaster, UK

How to distinguish oscillations from noise?

Wednesday 13 September

Time

Speaker/event

09.00-10.00

Registration

10.00-11.00

Introduction, what do we mean by noise?
Aneta Stefanovska

11.00-11.30

Coffee

11.30-12.30

Auto-correlation, Fourier transform and wavelet transform

Philip Clemson

12.30-14.00

Lunch

14.00-15.00

Wavelet phase coherence and surrogates

Gemma Lancaster                                         

15.00-15:45

Entropy and information approach to studying interactions

Daniele Marinazzo

15:45-16.15

Coffee

16.15-17.00

Finite-time and non-autonomous dynamics 

Julian Newman

17.00-18.30

MODA practical session on phase coherence using surrogates

18.30-19.30

Reception (with snacks) and poster session

 
 Thursday 14th September

Time

Speaker

09.00-10.00

Time-series analysis of nonlinear data

Holger Kantz

10.00-10.45

Frequency-based approach to higher order interactions 

Daniele Marinazzo

10.45-11.15

Coffee

11.15-12.15

Complexity and entropy

Pedro Mediano

12.15-12.45

Apparent universality of 1/f spectra as an artefact of finite-size effects
Magdalena Korzeniowska

12.45-14.00

Lunch

14.00-15.00

Model-based approach to data analysis

Spase Petkoski

15.00-15.15

Example 1: The cardio-respiratory system at three ambient temperatures

Juliane Bjerkan

15.15-15.30

Example 2: Ion channels’ cooperativity – what can we read from time series analysis?

Paulina Trybek

15.30-16.00

Coffee

16.00-18.00

MODA practical session on bispectral analysis; the role of harmonics in couplings

19.00

Dinner Barker House Farm

 

 

Friday 15th September

Time

Speaker

09.30-10.30

Couplings and coupling functions 

Tomislav Stankovski

10.30-11.00

Coffee

11.00-11.45

Wavelet bispectrum
Julian Newman

11.45-12.00

Example 3: Wavelet determination of scaling exponents and intermittency as seen by Solar Orbiter

Alina Bendt

12.00-12.15

Example 4: Extracting information from time series data from rechargeable batteries

Marcus Wilson

12.15-13.30

Lunch

13.30-15.30

MODA practical session on couplings and coupling functions

15.30-16.00

Coffee

16.00-17.00

Discussion, closing remarks

  

Practical sessions               

Breaks / food                

Talks

Discussion