Blog Archives

p-value vs Bayes

September 30, 2014
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p-value vs Bayes

p-value and Bayes are the two hottest words in Statistics. Actually I still can not get why the debate between frequentist  statistics and Bayesian statistics can last so long. What is the essence arguments behind it? (Any one can help me with this?) In my point of view, they are just two ways for solving […]

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It’s time for job application now!

September 29, 2014
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It’s time for job application now!

I collected the following series on applying for faculty positions in 2011, when I was in my second year PhD. Now it’s my turn to apply for jobs. I will share the following useful materials with all you who want to apply for jobs this year. Applying for Jobs: Application Materials Applying for Jobs : […]

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Useful for referring—9-11-2014

September 12, 2014
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Useful for referring—9-11-2014

Some R Resources for GLMs 失联搜救中的统计数据分析 The gap between data mining and predictive models Data Mining, machine learning and statistics. useR! 2014 is underway with 16 tutorials What is Scalable Machine Learning? rlist:基于list在R中处理非关系型数据 The perfect candidate The Leek group guide to giving talks 38 Seminal Articles Every Data Scientist Should Read Deep Learning – important […]

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Welcome to my Homepage

July 10, 2014
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Welcome to my Homepage

My academic homepage just has been launched. Welcome to visit: Honglang Wang’s Homepage.    

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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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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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JSM2013

July 31, 2013
By
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 […]

Read more »

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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A common theme in mathematics

April 2, 2013
By
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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