"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.
3
votes
2answers
51 views
Does there exist a likelihood based experimental methodology book on undergraduate level for psychology / social science students?
I've been looking for an introductory book in statistics and experiment design for a methods course for psychology students. I think I've been looking through at least 30 books and all go through the ...
1
vote
1answer
71 views
Next steps after “Bayesian Reasoning and Machine Learning”
I'm currently going through "Bayesian Reasoning and Machine Learning" by David Barber and it is an extremely well written and engaging book for learning the fundamentals. So a question to someone who ...
4
votes
1answer
69 views
Literature on this kind of bias
Suppose I'm trying to investigate the lifespan distribution of light bulbs. The catch is that I can only observe each bulb at most $T$ time units. So if the bulb doesn't blow before $T$ I will not ...
2
votes
1answer
50 views
Book/chapter/article recommendation for beginners level confirmatory factor analysis?
I am looking for a text that will help me provide explanations suited to undergraduate level. I've found that Andy Field's "Discovering Statistics Using..." series allowed me to pitch things at the ...
1
vote
0answers
45 views
Kolmogorov's paper defining Bayesian sufficiency
I'm looking for a translation to either English, French or German of Kolmogorov's Russian paper
Kolmogorov, A. (1942). Sur l’estimation statistique des paramètres de la loi de Gauss. Bull. Acad. Sci. ...
0
votes
0answers
22 views
What are some references for works which used synthetic True Negatives for the purpose of training a classifier?
I am searching for previous research papers which used a synthetic True Negative set for training a classifier (preferably a Random Forests one). The synthetic true negative set could have been built ...
2
votes
0answers
26 views
Results on continuity corrections
For me, the first thing that comes to mind when I come across the term continuity correction is that when $X\sim\mathrm{Bin}(n,p)$, one approximates $\Pr(X\le x)=\Pr(X<x)$ by $\Pr(Y<x+1/2)$ ...
2
votes
0answers
21 views
Compendium or catalog of compound distributions?
Does anyone know of a good compendium or catalog of compound distributions, or finite mixture representations of those distributions?
I am trying to find out to what extent the common ...
4
votes
3answers
127 views
Is it valid to divide data by a constant to make the estimated beta larger / more interpretable?
In analyzing my data, I find a similar problem to the one described in interpreting-this-regression-coefficient. I'm using regression analysis to build a human energy expenditure estimation model ...
0
votes
2answers
74 views
Need a clear and simple auto-regressive model example
This may be hard to find, but I'd like to read a well-explained auto-regressive model example that:
uses minimal math
extends the discussion beyond building a model into using that model to forecast ...
2
votes
1answer
76 views
Introductory textbook into nonparametric Bayesian models?
I'd like to wrap my head around this topic but learning from white-papers and tutorials is hard because there are many gaps which are usually filled in textbooks.
If it is important I have ...
3
votes
0answers
37 views
Is there a better reference for r formulae than ?formula? [migrated]
There are many redundant, and sometimes conflicting, ways of specifying formulae in R. Is there a comprehensive yet concise reference for mapping a conceptual models to R syntax than ...
0
votes
0answers
34 views
Is a multivariate normal restricted to an affine set normal? [duplicate]
This seems like a basic question, but I've been confused about it anyway.
Let $X$ be a multivariate normal random variable in $\mathbb R^n$. Let $A$ be the affine set $\{x\in\mathbb R^n : ...
2
votes
2answers
64 views
Is it correct to say the “smooth curve fitted by LOESS”?
I use the package scatter.smooth in R, and I want to have a figure text describing the line in the scatterplot for my report.
Is is okay to say "the line is a ...
0
votes
0answers
43 views
How can I get this paper? [closed]
I am posting this here, because the paper is about a statistical topic. So if there is a better place to post, just tell me.
My question is: How can I get this paper?
Barndorff-Nielsen, O. and ...
0
votes
0answers
52 views
Will there be Volume 2 of Mathematical Statistics by Bickel and Doksum and Robust Asymptotic Statistics by Rieder?
It was mentioned that Volume 2 of Mathematical Statistics by Bickel
and Doksum was scheduled to be published in 2003. I was wondering
if I miss something, but why it is not yet available? Is there ...
1
vote
0answers
41 views
Deriving eq. 3.56 in Jayne's Probability Theory using expectations
Assuming $R_{\text{later}}=R_{k+1}+R_{k+2}+\ldots+R_n$ and that B (background information), in summary is: There are $N$ balls in an urn, $M$ of them being red and we draw $n$. Jaynes derives the ...
1
vote
0answers
47 views
Solutions to E. T. Jaynes Probability Theory for self study?
I am doing a self study of E.T.Jayne's Probability Theory, the logic of science. I wanted to see that does any one know of a web page providing solutions to the exercises? I have no teacher or anyone ...
2
votes
2answers
47 views
Examples of “Textbook” Retrospective Studies
First of all, please forgive me for asking such a basic question. After several hours of googling, I still can't find an answer to this question.
The reason I ask is that I am a physician and have ...
1
vote
1answer
35 views
Software for working with exponential random graphs
I am looking for software packages for working with exponential random graph models (fitting/generating them and sampling from the graph distributions).
I have only found two packages so far, both ...
1
vote
1answer
73 views
Book Recommendation for Mathematical Statistics [duplicate]
Hi I am first year undergrad with math background, next year I will be starting a course in introductory mathematical statistics at the University of Toronto,
and the textbook the university uses, ...
8
votes
4answers
308 views
Good resources (online or book) on the mathematical foundations of statistics
Before I ask my question, let me give you a bit of background about what I know about statistics so that you have a better sense of the types of resources that I'm looking for.
I'm a graduate student ...
0
votes
0answers
36 views
How many attributes to select for classification
I am aware that this question is vague, but after reading multiple standard books of the community, I am still wondering about the following applied problem.
Lets say I have a dichotomy problem and ...
7
votes
2answers
100 views
What are some good resources for the history of time series analysis?
I have checked out the answer to this question on stats.stackexchange: What are good resources providing a history of statistics? Indeed, the Stigler book "Statistics on the Table" looks excellent ...
0
votes
0answers
38 views
Formulas for fitting the parameters of a linear dynamical system
Using the expectation-maximization algorithm one can fit all the parameters of a linear dynamical system. I know the theory behind it, and I know how to derive the updated parameters from the Kalman ...
5
votes
3answers
118 views
Theoretical objections to hypothesis testing [duplicate]
We've all seen how $p$-values can be misinterpreted to draw false inferences. However, I'm interested in learning more about theoretical/mathematical/philosophical objections to the ...
1
vote
0answers
11 views
Models for learning acquistion process
Imagine such a memory test for a mice. The mice performs an experiment $E$ with two possible issues $0$ (failure) and $1$ (success). If the mice gets $1$ it is "rewarded", if it gets $0$ it is ...
1
vote
3answers
95 views
Book recommendation for regression techniques
I'm taking my first course that contains regression techniques, analysis of variances and time series. What would you recommend if I would like to lean the mathematical theory behind those methods? ...
13
votes
1answer
466 views
What statistical methods are archaic and should be omitted from textbooks? [closed]
In answering a question about a confidence interval for a binomial proportion I pointed out the fact that the normal approximation is an unreliable method that is archaic. It should not be taught as a ...
3
votes
2answers
130 views
Moments of the Kolmogorov distribution
Up to what order do the moments of the Kolmogorov distribution exist? References would be appreciated.
0
votes
0answers
43 views
Do kernel SVMs have more support vectors than linear ones?
I was reading an article where it mentioned that kernel SVMs have lot more support vectors than linear ones. Can you give me some good references to know about this?
3
votes
2answers
136 views
Book for non parametric statistics
What would be a good book for non-parametric statistics. Not just the introduction but advanced level. Also I am looking at something I can use for learn and not for reference.
In particular I am ...
1
vote
1answer
88 views
How to factor analyze two binary variables only
Normally when I do factor analysis, I have a whole bunch of variables that need to be reduced. But here I only have two binary variables (yes/no) that I need to reduce into one interval factor. Is ...
0
votes
0answers
16 views
Phase space discretization and symbolization
Application of Symbolic Dynamics1,
Symbolic Dynamics&ECG papers explain how to generate a symbolic representation of a nonlinear chaotic system. Symbolic dynamics is a tool to explain the ...
5
votes
3answers
227 views
Reference for $\text{Var}(X)\le (b-a)^2/4$
I am not a statistician, but am working a proof for the upper bound of an expression which contains the variance of a variable which obtains its values from a closed interval, [0,1].
I have seen in ...
1
vote
1answer
164 views
Introductory statistics and econometrics in R
I don't know whether this post deserves to be here or in Stack Overflow. I am looking for the good book [one that is usually recommended as the text book] for teaching the introductory statistics and ...
0
votes
0answers
71 views
References for stability of Factor Analysis extraction methods
Does anyone have any good references comparing suitability / stability of different extraction methods for exploratory factor analysis on binomial variables?
I have had a search on-site and ...
6
votes
1answer
131 views
Suggested books on spatial statistics
What are some of the best books for studying
i) variability of univariate and multivariate variables (real, count data) across a spatial domain.
ii) sampling a univariate or multivariate variable ...
0
votes
1answer
80 views
Interpretation of result in reference group
If I am looking at sports data of a whole league over a year:
...
1
vote
0answers
61 views
Choosing which variable to sample to get a better model
Apologies if this question is long-winded and vague, but I'm really not familiar with the field and I'm having a hard time finding references.
We have a random variable $X$ which we assume is ...
1
vote
1answer
54 views
Any suggestion for a good introductory to optimization for parameter estimation?
I was reading about parameter estimation techniques such as Maximum Likelihood Estimation(MLE) and Expectation Maximization(EM). I tried to derive the Maximum Likelihood Estimation formula for Markov ...
7
votes
5answers
387 views
Smoothing 2D data
The data consist of optical spectra (light intensity against frequency) recorded at varying times. The points were acquired on a regular grid in x (time) , y (frequency). In order to analyse the time ...
3
votes
0answers
123 views
Recommend a graduate-level regression textbook?
Some friends and I (statistics grad students) would like to work through a good regression book. We're looking for
single and multiple linear regression
logistic regression
model selection
...
2
votes
4answers
329 views
Any suggestions for a good undergraduate introductory textbook to statistics?
I am hoping you can give me some suggestions. I am teaching in a very diverse (made of minority groups) college and the students are mostly Psychology majors. Most students are fresh from high school ...
2
votes
1answer
69 views
Reference needed - Who first introduced linear models, fixed and random effects models?
I am writing an essay which briefly discusses linear models as well as models with fixed and random effects. I am googling since ages to find a reference which says who first introduced linear models ...
2
votes
1answer
448 views
Good Tutorial for Restricted Boltzmann Machine (RBM)
I’m studying the Restricted Boltzmann Machine (RBM) and having some issues understanding log likelihood calculations w.r.t. parameters of the RBM.
Even though a lot of research papers on RBM have ...
0
votes
1answer
101 views
Sum of Squares reference resources
I am trying to really understand Sum of Squares, but what I read is either the summation formula for each one or answers like this.
Could some one point me towards a good reference that gives a bit ...
5
votes
4answers
308 views
Is the logit function always the best for regression modeling of binary data?
I've been thinking about this problem. The usual logistic function for modeling binary data is:
$$
\log\left(\frac{p}{1-p}\right)=\beta_0+\beta_1X_1+\beta_2X_2+....
$$
However is the logit function, ...
0
votes
0answers
73 views
How to present the Bayesian approach
I am writing a dissertation in which I use maximum likelihood estimation and an alternative Bayesian approach. I have written up the maximum likelihood estimation approach. However, I need some advice ...
-1
votes
2answers
206 views
Best book to learn probability - poisson, binomial, regression, etc
What is the Best book to learn probability - poisson, binomial, regression, etc.
I am working as an odds adjuster at a bookmaker and need to advance my skills to an odds compiler level.
