Blog Archives

Useful for referring—2-25-2014

February 25, 2014
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Useful for referring—2-25-2014

Interview with Nick Chamandy, statistician at Google You and Your Research +  video Trustworthy Online Controlled Experiments: Five Puzzling Outcomes Explained A Survival Guide to Starting and Finishing a PhD Six Rules For Wearing Suits For Beginners Why I Created C++ More advice to scientists on blogging Software engineering practices for graduate students Statistics Matter […]

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JSM2013

July 31, 2013
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JSM2013

This post is for JSM2013. I will put useful links here and I will update this post during the meeting. Big Data Sessions at JSM Nate Silver addresses assembled statisticians at this year’s JSM Data scientist is just a sexed up word for statistician What I have learned from this meeting (Key words of this […]

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A common theme in mathematics

April 2, 2013
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A common theme in mathematics

This is from a post Connected objects and a reconstruction theorem: A common theme in mathematics is to replace the study of an object with the study of some category that can be built from that object. For example, we can replace the study of a group  with the study of its category of linear representations, […]

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Think about statistical inferences from the ground up again

March 3, 2013
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Think about statistical inferences from the ground up again

The evidence in large medical data sets is direct, but indirect as well – and there is just too much of the indirect evidence to ignore. If you want to prove that your drug of choice is good or bad your evidence is not just how it does, it is also how all the other drugs […]

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Useful for referring–1-20-2013

January 20, 2013
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Useful for referring–1-20-2013

Machine Learning, Big Data, Deep Learning, Data Mining, Statistics, Decision & Risk Analysis, Probability, Fuzzy Logic FAQ A Funny Thing Happened on the Way to Academia . . . Advice for students on the academic job market (2013 edition) Perspective: “Why C++ Is Not ‘Back’” Is Fourier analysis a special case of representation theory or […]

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Computation

December 20, 2012
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Computation

These days I have been working with computation and programming languages. I want to share something with you here. You cannot expect C++ to magically make your code faster. If speed is of concern, you need profiling to find the bottleneck instead of blind guessing.——Yan Zhou. Thus we have to learn to know how to profile […]

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NIPS2012 Post Collection

December 15, 2012
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NIPS2012 Post Collection

In my office I have two NIPS posters on the wall, 2011 and 2012. But I have not been there and I am not computer scientist neither. But anyway I like NIPS without reason. Now it’s time for me to organize posts from others: NIPS ruminations I NIPS II: Deep Learning and the evolution of […]

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Useful for referring–11-28-2012

November 29, 2012
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Useful for referring–11-28-2012

Grad Student’s Guide to Good Coffee+Grad Student’s Guide to Good Tea Favorite Apps for Work and Life estimating a constant (not really) Reinforcement Learning in R: An Introduction to Dynamic Programming The Future of Machine Learning (and the End of the World?) 10 Papers Every Programmer Should Read (At Least Twice) R in the Press On Chomsky and […]

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Sage And Python

November 5, 2012
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Sage And Python

Python is great and I think will be also great.  For pure mathematics, it has lots of symbol calculations, since pure mathematics is abstract and powerful, like differential geometry, commutative algebra, algebraic geometry, and so on. However, science is nothing but experiment and computation. We also need powerful computational software to help us to carry […]

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How Bayesian Challenge Frequentist

November 3, 2012
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How Bayesian Challenge Frequentist

Recently, I have heard a lot about the disadvantages of frequentist statistics, including the complain about p value, which is a hot topic due to the God particle. Professor Kruschke, J.K. gave a talk on Doing Bayesian Data Analysis @ Michigan State University on September. He mentioned a concept “Intention“, including intended hypothesis, intended experiments, […]

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