AMGMScrub wrote:I honestly don't know too much about statistics programs. There's a general forum http://forum.thegradcafe.com/forum/48-m ... tatistics/
which seems like more stats people go on.
I do think that your subject GRE score is a plus (including general gre). It's hard to comment on one's profile based on gpa since it's hard to gauge how rigorous/non-rigorous an institution is.
jli220 wrote:Does the Reds mean they have already rejected?
doryphorus wrote:Just curious - why are you interested in statistics?
For statistics you should apply to stanford/harvard. Your subject gre is pretty strong, with good research experience - I think you have a shot.
Mathwhiz25 wrote:Why would you ask someone the reason that they are interested in statistics? She's interested just how someone is interested in pure math or any other area. I am interested in statistics as well. Mathematical statistics is highly mathematical, unlike applied which mostly uses software.
Mathwhiz25 wrote:Why would you ask someone the reason that they are interested in statistics? She's interested just how someone is interested in pure math or any other area. I am interested in statistics as well. Mathematical statistics is highly mathematical, unlike applied which mostly uses software.
arima wrote:Mathwhiz25 wrote:Why would you ask someone the reason that they are interested in statistics? She's interested just how someone is interested in pure math or any other area. I am interested in statistics as well. Mathematical statistics is highly mathematical, unlike applied which mostly uses software.
I agree mathematical statistics can be highly mathematical but realize that even at top stats departments mathematical statistics is being deemphasized as a direction of research. You are finding that statistics departments are trending towards merging or as some predict being subsumed with computer science. Two of the most recent hires at Stanford's stats department had degrees in computer science not statistics. There was a recent announcement that MIT computer science folks developed an AI machine for big data analysis that eliminates the need for human intervention. Google the article by Matloff "Statistics: Losing Ground to CS, Losing Image Among Students." Mathematical statistics might be a dead end career.
arima wrote:Mathwhiz25 wrote:Why would you ask someone the reason that they are interested in statistics? She's interested just how someone is interested in pure math or any other area. I am interested in statistics as well. Mathematical statistics is highly mathematical, unlike applied which mostly uses software.
I agree mathematical statistics can be highly mathematical but realize that even at top stats departments mathematical statistics is being deemphasized as a direction of research. You are finding that statistics departments are trending towards merging or as some predict being subsumed with computer science. Two of the most recent hires at Stanford's stats department had degrees in computer science not statistics. There was a recent announcement that MIT computer science folks developed an AI machine for big data analysis that eliminates the need for human intervention. Google the article by Matloff "Statistics: Losing Ground to CS, Losing Image Among Students." Mathematical statistics might be a dead end career.
Enigmatic wrote:I think @arima is spot on with his/her assessment. I come from a electrical engineering background with interest in optimization, signal processing, statistics, ML etc. I was basically told by a number of people to choose {CS, applied math, operations research} over statistics given a choice. Though ML undeniable evolved out of statistics, I think the "flavor" of research is quite different between the two. I am not even remotely qualified to answer which flavor or approach is better, but I have found a number of people (including me) bad-mouthing statistics courses and books.
Though I don't believe in "following the herd", on this particular issue, the consensus appears to be that the herd is moving towards CS for a reason. From the point of view of a young student or researcher, CS courses are much better run, with better software support, lecture notes, and quality of *understandable* and *usable* content. Regardless of the major (what the diploma says), in order to do research in this area, you need to learn the math anyway. In that sense, though some ideas, topics, methods from statistics are becoming increasingly popular with a lot of people learning it; statistics as a *degree/major* is declining in popularity.
arima wrote:Mathwhiz25 wrote:Why would you ask someone the reason that they are interested in statistics? She's interested just how someone is interested in pure math or any other area. I am interested in statistics as well. Mathematical statistics is highly mathematical, unlike applied which mostly uses software.
I agree mathematical statistics can be highly mathematical but realize that even at top stats departments mathematical statistics is being deemphasized as a direction of research. You are finding that statistics departments are trending towards merging or as some predict being subsumed with computer science. Two of the most recent hires at Stanford's stats department had degrees in computer science not statistics. There was a recent announcement that MIT computer science folks developed an AI machine for big data analysis that eliminates the need for human intervention. Google the article by Matloff "Statistics: Losing Ground to CS, Losing Image Among Students." Mathematical statistics might be a dead end career.
MLHopeful wrote:arima wrote:Mathwhiz25 wrote:Why would you ask someone the reason that they are interested in statistics? She's interested just how someone is interested in pure math or any other area. I am interested in statistics as well. Mathematical statistics is highly mathematical, unlike applied which mostly uses software.
I agree mathematical statistics can be highly mathematical but realize that even at top stats departments mathematical statistics is being deemphasized as a direction of research. You are finding that statistics departments are trending towards merging or as some predict being subsumed with computer science. Two of the most recent hires at Stanford's stats department had degrees in computer science not statistics. There was a recent announcement that MIT computer science folks developed an AI machine for big data analysis that eliminates the need for human intervention. Google the article by Matloff "Statistics: Losing Ground to CS, Losing Image Among Students." Mathematical statistics might be a dead end career.
I don't generally involve myself in, or even read, forums, but there's a shocking amount of misinformation in this thread, so I thought I'd jump in briefly and dispel some things. For what it's worth, I'm a PhD student at a top stats department.
No, stats is not being subsumed by computer science, and people still do math. It's being at the intersection of mathematical ideas and the real world that makes our discipline so special. We certainly have our challenges, but they're brought on by the incredible opportunities available to us.
In no particular order:
- The academic career across most branches of statistics is quite great. Most students graduating from a top school can get a tenure-track position immediately (if they choose to turn down well-paying industry jobs), no post-doc needed. If everything goes right, you could be tenured before 35, at which point your classmates in math would be starting their second post-doc, hoping to one day get a tenure track position. I don't think that's a "dead end career".
- The two recent stanford stats hires with cs PhD's also had masters in statistics and studied under mike jordan, who's well-known in both the stats and cs worlds. One of his stats students was also recently hired into MIT CS.
- The thought of CS folks automating big data analysis to the point where it is no longer an exciting field is optimistic, to say the least. Suggesting it has already happened is clueless. One of the great things about being in statistics is that many (most) departments solicit students to analyze their data.
- I read Motloff's article, and frankly didn't see anything convincing in it.
- From 2011-2013, the stats major at Cal went from 88 to 330 people, and applications to PhD programs have gone up substantially (although I don't have number offhand), so I think it's misguided to say that "statistics as a *degree/major* is declining in popularity."
- The courses I've taken in my PhD have been amongst the best (of many) math/stat/cs courses I've taken. Blanket statements like "CS courses are much better run" aren't generally true, as any good statistician could tell you.
- applied statistics is certainly getting a lot of the data science attention, but with an increased number of problems brings a corresponding increase in hard theoretical problems to work on.
Enigmatic wrote:@MLHopeful and @arima : Here is an outsiders perspective on ML vs statistics.
...Either statistics need to embrace computation a lot more, or be prepared to play the theoretical second fiddle to ML.
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