Questions tagged [references]

Questions seeking external references (books, papers, etc.) about a particular subject. Always use a more specific tag in addition.

More guidelines about using this tag can be found in:

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What is your favorite "data analysis" cartoon?

Data analysis cartoons can be useful for many reasons: they help communicate; they show that quantitative people have a sense of humor too; they can instigate good teaching moments; and they can help us remember important principles and…
Shane
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Famous statistical quotations

What is your favorite statistical quote? This is community wiki, so please one quote per answer.
robin girard
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What is the best introductory Bayesian statistics textbook?

Which is the best introductory textbook for Bayesian statistics? One book per answer, please.
Shane
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187
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10 answers

Why the sudden fascination with tensors?

I've noticed lately that a lot of people are developing tensor equivalents of many methods (tensor factorization, tensor kernels, tensors for topic modeling, etc) I'm wondering, why is the world suddenly fascinated with tensors? Are there recent…
Y. S.
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Statistics Jokes

Well, we've got favourite statistics quotes. What about statistics jokes?
Thylacoleo
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166
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5 answers

How to intuitively explain what a kernel is?

Many machine learning classifiers (e.g. support vector machines) allow one to specify a kernel. What would be an intuitive way of explaining what a kernel is? One aspect I have been thinking of is the distinction between linear and non-linear…
hashkey
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131
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Books for self-studying time series analysis?

I started by Time Series Analysis by Hamilton, but I am lost hopelessly. This book is really too theoretical for me to learn by myself. Does anybody have a recommendation for a textbook on time series analysis that's suitable for self-study?
CuriousMind
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128
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28 answers

Free statistical textbooks

Are there any free statistical textbooks available?
csgillespie
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116
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5 answers

Comprehensive list of activation functions in neural networks with pros/cons

Are there any reference document(s) that give a comprehensive list of activation functions in neural networks along with their pros/cons (and ideally some pointers to publications where they were successful or not so successful)?
Franck Dernoncourt
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How to annoy a statistical referee?

I recently asked a question regarding general principles around reviewing statistics in papers. What I would now like to ask, is what particularly irritates you when reviewing a paper, i.e. what's the best way to really annoy a statistical…
csgillespie
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What book would you recommend for non-statistician scientists?

What book would you recommend for scientists who are not statisticians? Clear delivery is most appreciated. As well as the explanation of the appropriate techniques and methods for typical tasks: time series analysis, presentation and aggregation of…
SilentGhost
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What is the single most influential book every statistician should read?

If you could go back in time and tell yourself to read a specific book at the beginning of your career as a statistician, which book would it be?
Neil McGuigan
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Why is the L2 regularization equivalent to Gaussian prior?

I keep reading this and intuitively I can see this but how does one go from L2 regularization to saying that this is a Gaussian Prior analytically? Same goes for saying L1 is equivalent to a Laplacean prior. Any further references would be great.
Anonymous
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Mathematician wants the equivalent knowledge to a quality stats degree

I know people love to close duplicates so I am not asking for a reference to start learning statistics (as here). I have a doctorate in mathematics but never learned statistics. What is the shortest route to the equivalent knowledge to a top notch…
John Robertson
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Free resources for learning R

I'm interested in learning R on the cheap. What's the best free resource/book/tutorial for learning R?
Yahel
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