"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.

learn more… | top users | synonyms (3)

0
votes
0answers
13 views

How do I choose the right classifier?

Broadly speaking, is there a good tutorial, possibly online, about which classifier is good for what, depending on number of samples and other statistical properties of the input data?
6
votes
1answer
82 views

Introductory texts on structural econometrics

In recent years the structural approach to econometrics compared to reduced form econometrics has become more popular. This involves tight combination of theoretical economic models and statistics in ...
0
votes
0answers
13 views

Regression using a priori knowledge

I am sorry if the title (and probably the question) is not very clear but I have a regression problem which might be a bit over my head if I want to do it well. I am only interested in getting some ...
0
votes
0answers
14 views

linear discriminant analysis, Bayes approach authors?

I know that in 1936 Fisher proposed the LDA that minimizes the variance within and maximizes between. My question is, the Bayes approach of LDA is attributed to a particular(s) author(s)? and what ...
3
votes
0answers
31 views

Where to start to learn about pricing models?

I have a situation at my work that I want to take as a chance to learn more about pricing and stats. In a nutshell, I work for a company that buys several products and then charges a margin (we have ...
3
votes
1answer
48 views

How do I cite a dataset in a paper?

I want to use the iris dataset provided by scikit-learn for a paper. But I don't know what the standard for referencing datasets is. What citation should I use for this dataset in my paper? Should I ...
1
vote
2answers
49 views

Ratio of CDFs $F(x)/x$ property

In my research project is useful to classify cumulative distributions functions of random variables with support in $[a,b]$ with $0\le a<b\le+\infty$ depending on whether the ratio, ...
0
votes
0answers
15 views

What books to read for Biostatistician position supporting product develpment for in -vitro diagnostics?

This is not a question concerning a specific statistical method, but I need an advice. I am interested in a position as a biostatistician to support product development for in-vitro diagnostics. I ...
1
vote
1answer
27 views

The sum of the kernel density values is not 1?

>> x = [randn(30,1); 5+randn(30,1)]; >> [f,xi] = ksdensity(x); >> sum(f) ans = 5.5376 I ran the ...
2
votes
1answer
34 views

Is there an article/book reviewing different methods for constructing posterior point/interval estimates?

Given a one-dimensional posterior distribution it is often the case that you want to calculate a point estimate and a credible interval for the corresponding parameter. There are, of course, many ways ...
6
votes
0answers
27 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
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
104 views

Example of an inconsistent Maximum likelihood estimator

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
102 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
votes
0answers
9 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
53 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
40 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
votes
4answers
345 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
vote
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
52 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
29 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
65 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
vote
0answers
28 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
94 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
18 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
120 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
38 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
25 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
vote
3answers
63 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
185 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
12 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
85 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
19 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
vote
0answers
18 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
26 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
236 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
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
68 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
46 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
31 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
41 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
136 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
41 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
147 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
votes
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
59 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
45 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
93 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
vote
0answers
60 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
96 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 ...