"References" is our generic tag for questions seeking information about books, papers, presentations, videos of lectures, on-line tutorials, etc., regarding any subject matter that is on-topic for Cross Validated.

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2
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3answers
66 views

Beyond the basics: intermediate medical statistics textbooks suggestions

I am a soon-to-be physician. During my studies I have taken a class in biostatistics. I own Martin Bland's "An introduction to medical statistics", which was a required textbooks at the time, and ...
0
votes
0answers
13 views

Big Data Use Cases

I am going to study about big data use cases in the real world. I want the stuff to be preferable in book format(not article or blog posts or website articles) and high level, industry based and ...
6
votes
1answer
54 views

Good papers with reproducible analysis requiring only the basics

I'm looking for papers or other examples of research where the statistical analysis done would be within the grasp of someone who has done an introductory stats course. Ideally the datasets would also ...
0
votes
0answers
23 views

General theoretical properties of empirical Bayes estimates

I was wondering if someone could provide reference (if such exists) for the theoretical properties of empirical Bayes(EB) point estimates, in the sense of what can we say about their risk under ...
1
vote
1answer
22 views

References to papers/books that uses a kernel to smooth a discrete distribution

Since a kernel, such as Gaussian, is often used to smooth out the distribution of discrete points in 1D, 2D or 3D, I believe there must be some study materials or research work that have used this, ...
0
votes
2answers
175 views

Does feature standardization always make sense?

I wonder if feature scaling like this makes always sense for neural networks: Let $T$ be the training set and $x_i \in \mathbb{R}^n$ with $d_i \in T$ be the feature vector of $d_i$. Then add another ...
0
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0answers
9 views

Community detection in mobile social network

Can anyone guide me regarding any good survey papers and implementations of recently published papers on community detection in mobile social network. I am willing to implement any existing algorithm ...
3
votes
1answer
48 views

odds ratio: the purpose and interpretation

Could someone please explain the purpose of the odds ratio and how it could be interpreted (i.e., the origin of their usage is in primary interest for me)? Why don't people simply use the difference ...
1
vote
1answer
14 views

Reference requested for Moving Average model

I am not from econometrics background and hence not familiar with text books which may contain a large moving average and an auto regressive model. I have found AR model from Simon Haykin's Adaptive ...
1
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0answers
14 views

What is sparse regression model

I am learning the concepts of Sparse regression and facing initial hurdles in terminology. sparse regression model explains the definition of what is meant by sparse. When the number of samples $n$ ...
2
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0answers
14 views

Motivating likelihood ratio test vs Wald test for paper reviewer

I've got back reviews for a paper I've submitted, with the following problem. I have two logistic regression models, say y ~ A, and y ~ A + B, where B is a factor with several levels. I have ...
4
votes
5answers
226 views

Texts on Various Topics in Statistics (GLMs, MCMC, Decision Trees, etc.)

I am currently looking for texts (or preferably a specific text) which have a good balance between theory and application and are as comprehensive as possible and are at an introductory level, ...
3
votes
2answers
203 views

Comprehensive list of distributions?

Is there a comprehensive list of distributions, e.g. gamma, Poisson, Gaussian, and when you should use each somewhere? My internet searching has been fruitless.
3
votes
1answer
55 views

Reference for dimension reduction techniques

This is a follow-up question to Is PCA appropriate for comparing subsets of panel data?. It turns out that, yes, PCA is appropriate. But there are also many other ways to reduce n-dimensional data to ...
4
votes
1answer
33 views

Presenting results of a meta-analysis with multiple moderators?

I wish to present the results of my meta-analysis using the best practices possible. I do not find, however, examples in articles similar to what my output is. Here's a simplification of my model and ...
0
votes
1answer
24 views

non-EM algorithm approach to mixture model?

I have a mixture model and the components are further parameterized by ~200 variables. Originally I use EM-algorithm to get a MLE estimation of the parameters. The algorithm works quite well and ...
2
votes
0answers
35 views

How to deal with floor effect

I am in the process of validating a five-items scale for measuring dependence on substance 'X'. I have collected data from 98 people who used the substance under consideration at least once weekly for ...
2
votes
1answer
66 views

Most efficient way to check answers to exercises when learning from a statistics textbook?

There's a community wiki at: Free statistical textbooks that has a nice list of freely available textbooks on statistics. Many of the textbooks that people suggest have exercises at the end of each ...
1
vote
1answer
37 views

Comparing two variance matrices

I am looking for bibliographical reference for comparing two variance matrices with he following criterion: $\text{Var}[X] \geq \text{Var}[Y] \quad \text{if} \quad \text{Var}[X]-\text{Var}[Y] \succeq ...
4
votes
2answers
134 views

Unwritten laws and dirty tricks to influence the outcome of a regression analysis

Background: Some years ago, I was working for a professor specialized in macroeconometrics. As a student research assistant, it was my task to replicate other papers and "play around" with the data. I ...
0
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0answers
15 views

General reference to Rényi entropy

Is there a book or a review article serving as a good general reference to Rényi entropy, its applications and related concepts?
2
votes
2answers
54 views

How to analyze multiple variable time series - suggest references

I have multiple environmental time series variables (for example: temperature, dissolved oxygen, conductivity, depth) measured every few minutes for several months. The variables are measured at ...
5
votes
1answer
42 views

Reference request: local limit theorem for log-concave densities

The following is easy to prove and can't possibly be new. But I can't find it printed anywhere despite some effort. Can anyone tell me where it is published? Let $X_1,X_2,\ldots$ be a sequence of ...
0
votes
3answers
82 views

Large sample size for t-test

I am working on a physics experiment, and I ran 500 runs to calculate a parameter. I want to use the t-test to see if my mean from 500 runs matches the actual value. u0: mean is actual value u1: ...
1
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0answers
38 views

Understanding repeated covariance types in SPSS?

I am working in SPSS on a repeated measures linear mixed model and I am having a really hard time wrapping my head around how to select a "repeated covariance type". The options are: ...
2
votes
1answer
74 views

Estimating adjusted risk ratios in binary data using Poisson regression

I am interested in estimating an adjusted risk ratio, analogous to how one estimates an adjusted odds ratio using logistic regression. Some literature (e.g., this) indicates that using Poisson ...
2
votes
2answers
76 views

Matrix Factorization algorithms for Recommender Systems

I need to learn about Matrix Factorization for recommender systems, so I downloaded this paper https://datajobs.com/data-science-repo/Recommender-Systems-[Netflix].pdf but I found it too shallow. It ...
6
votes
2answers
170 views

Books for learning non parametric Bayesian model

Having studied parametric Bayesian statistics during the two last years, I plan to begin to self-study non parametric Bayesian model during this summer and look for recommendations. I would like the ...
10
votes
5answers
645 views

Do you have recommendations for books to self-teach Applied Statistics at the graduate level?

I just got my Bachelors Degree in mathematics and I've begun working with a company that is requiring some extensive data analysis and statistical inquiry. I took several statistics courses in ...
3
votes
0answers
66 views

Regression analysis when the covariables is a sample from a population of potential variables

This question comes from trying to analyze my recent exam (exam I have given and corrected) statistically. I have a list of questions (20 in total) and each question is given a score from 0 to five, ...
3
votes
2answers
81 views

Feature / attribute selection for k-means or other clustering

It seems to me that in literature it is assumed that one knows which features / attributes to choose to characterize an item in clustering. If I have a database with items which have many attributes, ...
4
votes
1answer
41 views

Expectation of conditional normal distribution

I have two jointly normally distributed variables $s_1$ and $s_2$. I am now searching for the conditional expectation $$ E(s_1|s_1>r_1,\ s_2>r_2) $$ where $r_1$ and $r_2$ are constants. An idea ...
0
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0answers
22 views

Reference Request: Regularization

Lately, a wealth of regularizers have come into being. The area of model selection has generated a great amount of interest. Many times, we would like to control the complexity of the model, but do so ...
3
votes
1answer
175 views

How big is “sufficient” sample size?

I am currently doing some tests with some specific parameter settings to characterize a process. I roughly remember that a widely used rule of thumb for lab tests and whatnot is a sample size of 5 or ...
1
vote
0answers
28 views

Model averaging effect sizes of Gamma family GLMs

I'm trying to get some model averaged effect sizes from a set of candidate models, all of them assuming a Gamma error distribution, according to the theory given by the book from Burnham and Anderson ...
1
vote
1answer
72 views

Original source for the “play tennis” dataset

A famous toy example in machine learning, especially with learning decision trees, is the well known "play tennis" dataset. Is there an official source for the dataset which could be quoted in ...
2
votes
2answers
108 views

Logistic regression and ordinal independent variables

I have found this post: Yes. The coefficient reflects the change in log odds for each increment of change in the ordinal predictor. This (very common) model specification assumes the the predictor ...
1
vote
1answer
47 views

households survey data - determine 'valid' product categories

I'm working with household survey data where households report their expenditure for various products. The goal is to look into income elasticities for various products thus in essence I'm interested ...
1
vote
1answer
52 views

Best introduction to longitudinal data analysis

I have an undergraduate in statistics and I like some mathematical explanation and exposition. I would like to learn the basics of longitudinal analysis for my leisure and edification. What, if any, ...
4
votes
2answers
84 views

Metropolis Hastings algorithm

I need to study Markov Chain Monte Carlo methods, to be more specific i need to study Metropolis Hastings algorithm and all about it like convergence criteria. Who can prescribe me a book, or a ...
3
votes
0answers
29 views

Convergence time of a Markov chain

We know that a regular Markov chains converges to a unique matrix. The convergence time maybe finite or infinite. My interest is in the case where the convergence time is finite. How can we accurately ...
4
votes
6answers
231 views

Textbooks pertaining to creating models?

I'm not sure if a question like this has been asked yet on this website. I recently graduated as an undergraduate statistics major with a bit of a dense math background (I know some probability ...
0
votes
0answers
7 views

Probabilities data column from Mixture.Example dataset from Elements of Statistical Learning

Basically, I am playing around the mixture.example dataset from ESL. And the pdf below (page 7) gave the code to reproduce Figure 2.5 in ESL . ...
4
votes
3answers
90 views

Nonlinear Statistics?

I have been studying Statistics recently, using a few introductory texts. My issue is these texts only seem to provide analysis methods that are suitable to linear relationships: Pearson r ...
0
votes
0answers
39 views

Lack of fit and Pure error

I don't understand the concepts of lack of fit error and pure error. What I know is: $\bullet$ Lack of fit error: Error that occurs when the analysis omits one or more important terms or factors ...
0
votes
0answers
15 views

Resources for machine learning applied to fault detection

I am looking for a book or for a collection of examples where machine learning is used for fault detection. Any suggestions?
1
vote
2answers
184 views

Machine Learning and R textbook reference

I am asking for a book reference to further my studies in machine learning with the R programming language. Feel free to reference multiple books that are just machine learning or just R programming. ...
0
votes
0answers
18 views

Prior over transition matrices of markov chain

I want to be able to marginalize over the transition matrix of a markov model. The goal is to get the marginal likelihood on the number of states necessary to explain the data. Something that would ...
0
votes
2answers
84 views

Reference required for a Moving Average Model [closed]

I am looking for reference for a high order MA model. Shall be extremely grateful for a reference.
15
votes
1answer
449 views

Statistics is a machine … quote

I will need to present a project to non-statisticians in an upcoming conference and I would like to include a quote that I have read at one point that makes the comparison between statistics and a ...