Used to tag questions (often Community Wiki) where a collection of replies is requested, such as a list of references, of quotations, etc.

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0
votes
1answer
136 views

What are good econometrics handbooks?

There's a question for textbooks here, but I would like to ask similar question about handbooks: What econometrics handbooks would you recommend? Assumed audience is researchers and graduate-level ...
1
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0answers
69 views

Lesser known but powerful probabilistic inference algorithms

What are the lesser known but powerful probabilistic inference algorithms? Most references about probabilistic graphical models describe popular inference methods like Variable Elimination and ...
1
vote
0answers
117 views

How to manage correlation coefficients (Spearman, Kendall) with lists of different dimensions?

I have to compare two different lists of biomolecular annotations, and to find out their correlation degree. To do this, I have implemented a function computing the Spearman's rank correlation ...
23
votes
8answers
1k views

Are there any good popular science book about statistics or machine learning?

There a bunch of really good popular science books around, that deal with real science, as well as the history and reasons behind current theories, while remaining extremely enjoyable to read. For ...
2
votes
2answers
148 views

Books on non-parametric theory with correlated data

Short question: I am looking for books that deal with correlated data in a systematic and theoretical way. Long version: Right now I am developing approximation algorithms for time series data ...
27
votes
6answers
1k views

Pitfalls in time series analysis

I am just starting out self-learning in time series analysis. I've noticed that there are a number of potential pitfalls that aren't applicable to general statistics. So, building on What are common ...
3
votes
7answers
907 views

Introductory book for multivariate statistics

I am looking for an introductory book that helps me build some skills in working with multivariate distributions. For example I want to be able to work with multivariate normal easily, something ...
1
vote
2answers
174 views

Non-linear regression references [closed]

I'm looking for non-linear regression analysis references. I'll be grateful if somebody can give me some references.
2
votes
1answer
161 views

Resampling dataset size

I have learned that resampling e.g. bootstrapping could give us better results for some problems. If we have a huge data set (millions of values) does it make sense to do some kind of resampling or ...
20
votes
8answers
3k views

What is a good reference book for the matrix algebra linear algebra used a lot in applied statistics?

I have been working in R for a bit and have been faced with things like PCA, SVD, QR decompositions and many such linear algebra results (when inspecting estimating weighted regressions and such) so I ...
7
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4answers
1k views

Probability theory books for self-study

Are there any good books that explain important concepts of probability theory like probability distribution functions and cumulative distribution functions? Please avoid referring books like ...
7
votes
7answers
593 views

Book for getting a broad, conceptual overview of statistical methods

I am very interested about the potential of statistical analysis for simulation/forecasting/function estimation, etc. However, I don't know much about it and my mathematical knowledge is still quite ...
3
votes
4answers
2k views

Software for making semi variograms and analyses?

Our lab used to have a program called GS+ that let us make semi variograms on our data and analyse them. Unfortunately the licence has expired. Is there another piece of software that lets you do ...
44
votes
2answers
7k views

Data APIs/feeds available as packages in R

EDIT: The Web Technologies and Services CRAN task view contains a much more comprehensive list of data sources and APIs available in R. You can submit a pull request on github if you wish to add a ...
6
votes
2answers
426 views

What is a 'message passing method'?

I have a vague sense of what a message passing method is: an algorithm that builds an approximation to a distribution by iteratively building approximations of each of the factors of the distribution ...
40
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2answers
2k views

What are good references containing arguments against null hypothesis significance testing?

In the last few years I've read a number of papers arguing against the use of null hypothesis significance testing in science, but didn't think to keep a persistent list. A colleague recently asked me ...
7
votes
1answer
628 views

What are some good hard exemplary problem sets to work through to solidify my understanding of statistical concepts?

Over the years, I picked up many Statistics Concepts in by a variety of situations and means. I studied some Statistics maybe for a couple semesters almost 10 years back. But I also picked up concepts ...
14
votes
6answers
2k views

What are some interesting and well-written applied statistics papers?

What are some good papers describing applications of statistics that would be fun and informative to read? Just to be clear, I'm not really looking for papers describing new statistical methods (e.g., ...
2
votes
0answers
108 views

Which books would you recommend for mixed distributions (continuous and discrete)?

What is a good book that covers mixed distributions? Most statistics books either only briefly mention them or do not cover the topic at all. I'd like to have a comprehensive resource covering ...
8
votes
8answers
395 views

Graphics encyclopedia

I have to build a multi-user webapp which is about traffic measurements, prognoses etc. At this point I know that I'll use bar and pie charts. Unfortunately, those chart types aren't rich in ...
15
votes
5answers
1k views

Readable introduction to measure theory

I'm interested in learning more about nonparametric Bayesian (and related) techniques. My background is in computer science and though I have never taken a course on measure theory or probability ...
19
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9answers
7k views

Tiny (real) datasets for giving examples in class?

When teaching an introductory level class, the teachers I know tend to invent some numbers and a story in order to exemplify the method they are teaching. What I would prefer is to tell a real story ...
9
votes
14answers
8k views

Good econometrics textbooks?

Which good econometrics textbooks would you recommend? edit: There are quite a few books out there, with varying levels of mathematical sophistication. It would be good to get some idea of how ...
121
votes
42answers
10k views

What are common statistical sins?

I'm a grad student in psychology, and as I pursue more and more independent studies in statistics, I am increasingly amazed by the inadequacy of my formal training. Both personal and second hand ...
3
votes
2answers
338 views

Good fuzzy textbook

from what you have read or heard about, which is a good book on fuzzy logic/sets/systems? I'm interested in basic of fuzzy systems, fuzzification/defuzzification etc. Thanks, Lucian
73
votes
16answers
4k views

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 ...
3
votes
2answers
1k views

Hurst exponent calculation methodology

I am looking for the Hurst exponent calculation methodology. Please suggest online materials / methodology papers.
28
votes
8answers
4k views

Resources for learning Markov chain and hidden Markov models

I am looking for resources (tutorials, textbooks, webcast, etc) to learn about Markov Chain and HMMs. My background is as a biologist, and I'm currently involved in a bioinformatics-related project. ...
7
votes
6answers
398 views

Building a Statistics Library, with Knapsack Constraint

Suppose you had $200 US to build a (very) small library of statistics books. What would your choices be? You may assume free shipping from Amazon, and any freely available texts from the internet are ...
7
votes
1answer
418 views

Statistics based on fractal mathematics

I am looking for books / textbooks on statistics based on fractal mathematics. I know it is not a very well known area and it is rather difficult to find good literature. Any suggestions are welcome ...
53
votes
14answers
3k views

Complete substantive examples of reproducible research using R

The Question: Are there any good examples of reproducible research using R that are freely available online? Ideal Example: Specifically, ideal examples would provide: The raw data (and ideally ...
5
votes
11answers
958 views

Revolutions in statistics for the last 50 years? [closed]

Let's say chat is a better place for such discussions. --mbq What areas of statistics have been substantially revolutionised in the last 50 years? For example, about 40 years ago, Akaike with ...
64
votes
57answers
64k views

Statistics Jokes

Well we've got favourite statistics quotes. What about statistics jokes? So, what's your favourite statistics joke?
17
votes
11answers
2k views

References for Survival Analysis

I am looking for a good book/tutorial to learn the survival analysis. I am also interested in references on doing survival analysis in R
122
votes
135answers
34k views

Famous statistician quotes

What is your favorite statistician quote? This is community wiki, so please one quote per answer.
6
votes
7answers
794 views

Resources for learning Stata

I know of Cameron and Trivedi's Microeconometrics Using Stata. What are other good texts for learning Stata?