Are There Unsolved Problems in Statistics?

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The discussion highlights the perception that major problems in mathematics are more prominent than in statistics, questioning whether this is due to statistics being a newer field or its reliance on concrete data from experiments. It notes that while statistics has historical roots, such as contributions from Florence Nightingale, the field has evolved significantly, allowing for advanced research, including Ph.D. programs. Participants suggest that unsolved problems do exist in statistics, as evidenced by complexities in areas like the stock market. The conversation also touches on the idea that statistics can extend beyond data analysis, indicating a broader scope of inquiry. Overall, the field of statistics continues to present challenges worthy of exploration.
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it seems like all the major problems in math/stats are only in math. why is that? is it because stats is a relatively new field of study (got started ~50yrs ago i think by florence nightingale?), not counting gauss' central limit theorem? or is it because statisticians only work with data collected in experiments, making it extremely concrete/experimental compared with math (esp pure math)? (that might come across as more ignorant that i want it to :blushing: ) what's the equivalent of the riemann hypothesis in statistics, if there is one?
 
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Florence Nightingale died in the early 1900s, she was born in the early 1800s.

Apart from that I have little to offer in this.
 
Also, she had a pet owl.
 
You can get a Ph.D. in statistics, so there must be some research in the field

Here's a link to the University of Minnesota's Statistics Department. There are links to faculty research areas from here

http://www.stat.umn.edu/Research/Profile.html
 
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Why not do research on brownian motion?
 
Statistics does not necessarily always work with data. There are unsolved problems in statistics. If there weren't, the stock market would not exist, for example.
 

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