# Questions tagged [references]

Questions seeking external references (books, papers, etc.) about a particular subject. Always use a more specific tag in addition.

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### What are the conditions of applicability of linear regression? [duplicate]

I am looking for a list of "Conditions of applicability of linear regression" to finish a work, but I cannot find any reference of this in any book. I founded something in several links, but in one ...
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### What to do with statistically insignificant dummy/categorical variables? [duplicate]

From the research I've done the common answer is that you can not remove insignificant dummy variables from a regression. I'm having a hard time finding academic papers or books that back up this ...
46 views

### recommendation for humor book on statistics [closed]

I am looking for a humor book on statistics. The intent is not to learn statistics. I am rather thinking about funny statistical facts, funny statistical quotes, etc. Any recommendation?
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### Reference request: statement about jointly Gaussian RV

I found a theorem online https://people.eecs.berkeley.edu/~ananth/223Spr07/jointlygaussian.pdf Is there a secondary reference for this theorem?
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### What are some books that explain the origins of or principles behind common statistical methods?

A friend of mine asked whether I knew of such a book that offers both intuitive and formal explanations of how a wide range of statistical methods were originally derived. She wasn't looking for a ...
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### Unequal variance in randomized experiments to compare treatment with control?

Consider a randomized experiment to compare (one or more) treatment(s) with a control. Since groups are defined by random assignment, we should expect equal variances for a null-experiment (that is, ...
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### Signal-to-noise-ratio, Fisher information and and “estimability”

Given a parametric statistical model, is it common to study the quantity $$Q_{\theta} = \theta^2 I_{\theta} \, ,$$ where $I_{\theta}$ is the Fisher information? (I focus on a single parameter for ...
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### Choosing among recent references on Machine Learning

For personal reasons, I need a recent reference book on ML which is not mainly focused on programming, such as for example https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/...
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### (Teaching) references for computational complexity

Background: I am going to teach computational complexity (time complexity) within an introductory course in machine learning. I would like to gently introduce the notion of computational complexity ...
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### Prerequisites for reinforcement learning for DTR

I want to learn how RL is used for Dynamic Treatment Regimes. What are some must-read articles or papers? Also, I am relatively new to RL and am currently reading Sutton's book on the topic. Lets ...
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### What is topological statistics?

I came across Carnegie Mellon's Topological Statistics website, and it greatly piqued my interest. What exactly is Topological Statistics? Is it a subfield of statistics? What background (stat, math, ...
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### What's a good textbook with lots of real life examples on GLM and statistical inference?

I am teaching myself statistical inference, and now I am learning about generalized linear models. I am looking for lots of serious examples to work on. I want to make sure that my understanding is ...
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### Book recommendation for analyzing and preparing data for machine learning

I have a school project in which I need to apply several supervised learning algorithms over a data set. Is there a good book that you recommend that focuses on data preparation, like: zero values, <...
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### Self-organising Neural Network - Looking for litterature

I am looking at developing an algorithm that would automatically grow the structure of a neural network by adding/deleting units within a layer, or adding layers as necessary. I researched the topic ...
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### Lecture notes on statistics and probability [closed]

Can you suggest some good introductive lecture notes, books and papers on statistics and probability? thank you, I appreciate it very much.
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### Can we test Variational Autoencoders with deterministic $z=0$?

Let's say we want to compare a vanilla Autoencoder to a Variational Autoencoder. The first one gives a deterministic output which basically represents the output with the highest likelihood. When we ...
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### References on frequentist hypothesis testing

I am looking for some references on frequentist hypothesis testing (e.g., t-test, chi-squared test, F-test, A/B testing etc). I have significant experience with probabilistic methods like Bayes rules, ...
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### Statistics book for Machine Learning [duplicate]

Hello I am a mathematician currently studying Data Science and I would like to ask for a book that can give me a variety of statistical tools for having more solid conclusions in my analysis of a ...
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### Simplifying XGBoost

I need to explain the concept behind XGBoost to a few people. Although I understand how it works, I'm looking for a good analogy using which I can easily describe XGBoost. Probably something which ...
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### Expected value for f(x) [closed]

I am reading an article and trying to extend their case to a multivariate case. I have the function $f_{i} (x)=\frac{1}{|Σ|}f_{0}((x-μ_{i})'Σ^{-1}(x-μ_{i}))$, where $f_{0}(.)$ is a base density ...
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### “Simple” boundary correction method in kernel density estimation

I'm new to kernel density estimation and have a rough idea on boundary bias. When correcting for boundaries, I tried to use boundary correction method as "simple" which is available in R. Once I ...
32 views

### Literature on Bayesian stuff with Normal Distribution? [closed]

I am writing something on Bayesian Analysis involving the normal distribution. I know that the conjugate prior is the so-called normalized Gamma inverse distribution, I know the update rule for the ...
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### Properties not yet proven for neural networks but proven for regression

This question is a bit vague: Are there any properties postulated for feed-forward neural networks which are not yet proven and have a known analogue in classical linear regression analysis?
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### Reference request: Table of probability mass function / probability generating function pairs?

I have a probability generating function $G(z) = \sum_{k=0}^\infty z^n p(n)$ for a discrete random variable which is somewhat complicated. I would like to "invert" it to obtain the pmf $p(n)$, which ...
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### Extension of Potts model with non-constant interactions?

Is there any work that extends (allows) Potts model to have non-constant interactions between the lattice points? Specifically, the interaction matrix is a symmetric matrix that can have both positive ...
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### Regression model with aggregated targets

Similar as in this self-answered question, I want to ask about possible approaches for modelling data with aggregated targets, i.e. things like $$\bar y_{j[i]} = \alpha + \beta x_i + \varepsilon_i$$...
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### Literature review on non-linear regression

Does anyone know of a good review article for the statistical literature on non-linear regression? I am primarily interested in consistency results and asymptotics. Of particular interest is the ...
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Which book or standard procedure to read first? My basic want is to start on Time-Series Analysis. I need to understand ARIMA from beginner level and be able to answer basic questions on it.
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### Who to attribute information gain to?

I am writing a paper where I examine information gain specifically with regards to feature selection and am wondering what the proper reference should be. I have looked all over and I can't find a ...
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### error in the book “A first course in Machine Learning”?

I am reading the book "A first course in Machine learning". At page 74 when talking about the maximum likelihood solution, considering the data matrix X 2x2, he ...
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### Batch Normalization or just z-normalization as a Nonlinearity

It is already common to do something "like"**(see asterisks below) z-standardization of the outputs of one neural network layer before passing it to the next. z-standardization would transform the ...