"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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0answers
21 views

Reference for the idea that a simpler model can be used when the range of data values is smaller

When we build a statistical-physical model, generally, a simpler model can be justified when the range of data-values is smaller. I can't be the first person to use this idea, but I also can't find ...
0
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1answer
30 views

Searching for Bayes' Theorem problem set? [on hold]

I'm searching for problem sets with answers to get the hang of applying Bayes' Theorem, both for discrete and continuous probability distributions.
1
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0answers
39 views

Supervised classification of a network

Here is the form of my data, basically it is a network, with each node has one target attribute, one feature value (a value correlated with the target attribute bale), and the edges between the nodes ...
0
votes
0answers
21 views

Statistical learning theory

I am looking for some good books for statistical learning theory. For an introduction I went through "An elementary introduction statistical learning theory Kulakrani" It was a good read with less ...
6
votes
2answers
70 views

Can the power of a test of an inconsistent estimator still go to 1 as N goes to infinity?

I'm reading a comment to a paper, and the author states that sometimes, even though the estimators (found by ML or maximum quasilikelihood) may not be consistent, the power of a likelihood ratio or ...
2
votes
3answers
79 views

Rigorous real analysis book for probability theory

I have a Masters in math and I am currently doing a Masters in statistics. I am disappointed at the level of rigor in the proofs (and often outright omission of the proofs just a statement saying "in ...
0
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0answers
8 views

Introducing binomial distribution as a sampling distribution over Bernoulli distribution

In many introductory applied statistics text books and curricula, study of basic probability distributions begin with binomial distribution. I think it would be pedagogically beneficial to introduce ...
4
votes
1answer
39 views

Is Hurlbert 1984 the best introductory overview to pseudoreplication?

I often find myself explaining (or wanting to explain but not wanting to be boorish) the basics of random sampling and the consequences of pseudoreplication, specifically the limitations and ...
1
vote
1answer
36 views

What criteria should be used in selecting a statistics book?

In his paper "Mindless statistics", G. Gigerenzer unfavourably cites several statistics books. One of the things prof. Gigerenzer mentions is the fact that the books do not mention various approaches ...
14
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4answers
306 views

Bias in jury selection?

A friend is representing a client on appeal, after a criminal trial in which it appears that jury selection was racially biased. The jury pool consisted of 30 people, in 4 racial groups. The ...
1
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0answers
7 views

$2^3$ Factorial Design conducted in a Latin Square Design

When does the situation occur to conduct a $2^3$ Factorial Design in a Latin Square Design? What would be the procedure of analyzing data of a $2^3$ Factorial Design conducted in a Latin Square ...
0
votes
1answer
38 views

Random and Fixed effect model

Would you explain a practical situation where random effect model is more appropriate than the fixed effect model?
2
votes
1answer
27 views

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 ...
3
votes
2answers
62 views

Book for introductory nonparametric econometrics/statistics

My work implies a lot of econometrics, and I had a good formation about it. Nevertheless, I am regularly faced with some semi or non parametric techniques (for instance I had to use quantile ...
1
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0answers
22 views

Distribution of correlation coefficients for uniform random variables

Let $n>1$, let $X$ be uniformly distributed on $[-\frac12,\frac12]$, and consider the sequence $X_1,\ldots,X_{n+1}$ of independent copies of $X$. R implements ...
2
votes
3answers
88 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
17 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
119 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
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0answers
33 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
24 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, ...
1
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3answers
59 views

Ratio of explanatory variables in multiple regression

I wonder if anyone has any links or advice on specifying a ratio of two explanatory variables in a linear regression? That is, specifying the two independent variables plus their ratio. We have data ...
0
votes
2answers
182 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
votes
0answers
11 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
2answers
74 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
15 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
15 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
votes
0answers
20 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
232 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
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2answers
204 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
62 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
39 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
28 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
40 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
81 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
40 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
142 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
56 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
43 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
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3answers
86 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: ...
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0answers
48 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: ...
3
votes
1answer
82 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
84 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
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2answers
183 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
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5answers
680 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
70 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
98 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
43 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
votes
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
194 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 ...