Dear Researchers,
Please, could you refer me to good references that discuss the challenges of statistical methods in Big data?
Thank you very much.
For overall description, you can start with:
https://arxiv.org/pdf/1509.02900.pdf
But if you are interested in possible pitfalls, I recommend this one:
https://dash.harvard.edu/bitstream/handle/1/12016836/the%20parable%20of%20google%20flu%20(wp-final).pdf?sequence=1
The article pointed out by Rafal Rzepka is an excellent one. From a completely different perspective, which indirectly concerns the statistical methods of Big Data, we have published in 2017 a critic to the big-data approach. The focus is on the structure of the connection network from the view of a sustainable management of global information. If we compare the data management in organism which certainly handles massive data (numerically larger than Internet data sets), our Internet data management is extremely centralised, at the same time than large data sets (related to relevant problems are completely dismissed. If a similar levelism were introduced in information management systems, the size of data sets and data flow would be reduced through the percolation of only meaningful information across organisational levels. Now we are working in its application to specific problems (in particular, territorial mobility data and marine resource management).
Conference Paper Is the Internet-of-Things a Burden or a Leverage for the Hum...
Chapter Cyber-Subsidiarity: Toward a Global Sustainable Information Society
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