69  sources

69.1 books

from Data to Viz

Fundamentals of Data Visualization, by Claus O. Wilke

PyNotes in Agriscience

Forecasting: Principles and Practice (3rd ed), by Rob J Hyndman and George Athanasopoulos

Python for Finance Cookbook 2nd Edition - Code Repository

Practical time series analysis,: prediction with statistics and machine learning, by Aileen Nielsen
The online edition of this book is available for Hebrew University staff and students.

Time series analysis with Python cookbook : practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation, by Tarek A. Atwan
The online edition of this book is available for Hebrew University staff and students.

Hands-on Time Series Analysis with Python: From Basics to Bleeding Edge Techniques, by B V Vishwas, Ashish Patel
The online edition of this book is available for Hebrew University staff and students.

69.2 videos

Times Series Analysis for Everyone, by Bruno Goncalves
This series is available for Hebrew University staff and students.

Time Series Analysis with Pandas, by Joshua Malina This video is available for Hebrew University staff and students.

69.3 references

Brockwell, Peter J., and Richard A. Davis. 2016. Introduction to Time Series and Forecasting. 3rd ed. Springer.
Chatfield, C. 2016. The Analysis of Time Series: An Introduction, Sixth Edition. Chapman & Hall/CRC Texts in Statistical Science. CRC Press.
Cleveland, Robert B, William S Cleveland, Jean E McRae, and Irma Terpenning. 1990. “STL: A Seasonal-Trend Decomposition.” J. Off. Stat 6 (1): 3–73.
McDonald, Andy. 2022. “Creating Boxplots with the Seaborn Python Library.” Medium. Towards Data Science. https://towardsdatascience.com/creating-boxplots-with-the-seaborn-python-library-f0c20f09bd57.
Pelliccia, Daniel. 2019. “Fourier Spectral Smoothing Method.” 2019. https://nirpyresearch.com/fourier-spectral-smoothing-method/.
Shumway, Robert H., and David S. Stoffer. 2017. Time Series Analysis and Its Applications With R Examples. 4th ed. Springer. http://www.stat.ucla.edu/~frederic/415/S23/tsa4.pdf.
Tsay, R. S. 2010. Analysis of Financial Time Series. Wiley.
Westen, René M. van, Michael Kliphuis, and Henk A. Dijkstra. 2024. “Physics-Based Early Warning Signal Shows That AMOC Is on Tipping Course.” Science Advances 10 (6): eadk1189. https://doi.org/10.1126/sciadv.adk1189.
Zhang, Ou. 2020. “Outliers-Part 3:outliers in Regression.” ouzhang.me. https://ouzhang.me/blog/outlier-series/outliers-part3/.