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  1. Rubin retired and went to china so Harvard has lost a lot of its causal inference focus
  2. I think Harvard is a much better biostats program than Berkeley biostats. I think Berkeley stats is a better program than Harvard stats. If you are dead set on biostats go to Harvard. However getting a degree in stats gives you more flexibility. Depending on what you want to do, going to Berkeley gives you more options for the future.
  3. Not that any of this matters now but when Friedmans paper was published he was at Berkeley where he got his Phd. I agree for theoretical statistics that Stanford is the best now. However when it comes to many other areas of statistics including applied statistics, causal inference etc I believe Berkeley is better. Berkeley is also much better when it comes to diversity. The world only needs so many theoretical statisticians I am a strong believer that the best place is where you feel the most comfortable no matter where that may be.
  4. Actually gradient boosting came from Berkeley from Leo Breiman if history is correct. Freidman also got his phd at Berkeley . Bartlett who is at Berkeley now developed functional gradient boosting which is a more general concept. It was developed at the same time Friedman published his papers. I dont really think you can say that one group revolutionized the field if you look at all the historical facts
  5. @statsGod I think if you want to learn theoretical statistics you are probably correct about Stanford. However a department is not totally defined by a few stars. There are other factors that go into an education . Michael Jordan is the leader in artificial intelligence and a few other areas. That is greatly valued by many people. Practical application of statistics and methodology is important to very many people. I am not sure there are many people at Stanford that do Causal Inference. Departments hire by what is their perceived needs and that can vary from year to year. Also the l
  6. Not so sure why people think stanford is better than berkeley. It is a smaller department than berkeley. It is mostly theoretical. Berkeley has much closer ties to EECS and does a lot more applied and methodological research Not getting into the politics of this however A lot of people have complained about the lack of diversity at stanford. I have heard many female applicants accepted at Stanford have rejected it because of its diversity reputation. I am not sure if they have ever had a black or Hispanic phd student at stanford.
  7. @bayessays I think a lot of people would disagree with you that Stanford is #1 by a mile. A lot of people for a variety of reasons think Berkeley is far superior. What do you base your opinion on? Also there are a number of differences between the schools in the top ten.
  8. Look at the new head of the cdc Rochelle Walensky and whom she works with. She has been pretty active
  9. Lower division means the course number is less than 100 at cal. 100 to 199 means upper division and 200 and above is graduate level. Berkeley wants to know what you actually learned. Telling them the text books and syllabus you went through is helpful. Beginning ODE and linear algebra are generally considered lower division classes
  10. MrKrabs what I would do is ask for the names of former CSU students who were in their PHd statistics programs. I would ask for UCI, UCLA, Davis and Berkeley. That is proof one way or the other. I have heard reasons why this happens but I would prefer not to say in an open forum. I dont think it is fair if my information is correct. The selection process will also change this fall if prop 16 passes in November. Best of luck to you.
  11. Unfortunately many of the UC stats programs don’t like to take CSU students. I think it is unfair for a variety of reasons. You should be aware of this bias so you can counter it Maybe some of the other posters have suggestions
  12. Insert_name I think your advice is really good but nothing is guaranteed for the top 5 programs. At that level I think alot is about fit and what they want their group of grad students to look like
  13. I agree with what Bayessays and Stat Asst Professor have to say. I spent 4 summers at FAANG and the experience was well received. It is always a plus to have good coding skills. Remember too that alot of the good people who get their phds go back into industry or some spend a bunch of time consulting with industry after their PHd. The industry money temps alot of people. It also helps being a domestic URM . At this point I dont think you need to spend more time working on your research portfolio. I think alot of schools will take you
  14. I am familiar with a couple of schools waiving the general GRE. You should check with the individual programs
  15. I agree it’s very uncommon to see published research in a top journal before you start your PhD. Also with multiple authors sometimes it’s difficult to tell what the student contributed to the paper.
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