All Questions

This encyclopedia article says that transfer entropy is conditional mutual information. But the first measure makes no mention of a third variable being required unlike the second measure, and is the ...

I met this term in the paper "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition":"3.1.2 Multi-level Pooling Improves Accuracy In Table 2 (b) we show the ...

Mahalanobis distance provides a value that might be used for the detection of outliers. My question: how to calculate the direction of the outlier (as a vector)? A simple answer would be to use the ...

How would one interpret EM clustering results for nominal data? I am using Weka, if that makes difference. The internet is full of examples for continuous data, but not so much for categorical. I am ...

I want to conduct the Ljung-Box test on residuals of the ARIMA model with Box.test(e, type = "Ljung-Box", fitdf = degrees_of_freedom) where N = 3064, ...

The information theory equivalent of the correlation matrix is the mutual information matrix, which has individual entropies along its diagonal, and mutual information estimates in the off-diagonals. ...

I recently read a paper on the trimming of random effect structure by Bates, Kliegle, Vasishth and Baayen (2015). My understanding is that the Parsimonious Mixed Model they proposed mainly follows the ...

This is my data: ...

I've read that batch normalization eliminates the need for a bias vector in neural networks, since it introduces a shift parameter that functions similarly as a bias. As far as I'm aware though, a ...

I am working with a multivariate time series problem which I try to predict 1 hour in the future. I am planning to use moving average of the features as separate new features. But I do not know if ...

I am new to coding and statistics. I wanna do classification on a data set and i wanna know if Lasso and Logistic regression with L1 penalty are different?

Except for the summation, I'm having a hard time figuring out the meaning of these notations. As I assume this is generic and the context is not that necessary, I'm here asking for help. (also, is ...

I was searching for a while around the web and I couldn't find any solution that would give some ideas on how to solve my problem. I have a few hundreds of document with some permission forms filled ...

I'm trying to model some data using the following distribution: \begin{align} r &\sim \mathcal{N}(\mu, \sigma^2) \nonumber\\ \mu &= m_0 + m_1 d \nonumber\\ \sigma^2 &= s_0+s_1 d\nonumber\\ ...

I am trying to predict wins/losses of tennis matches by predicting win probabilities of each match, and currently thinking about which evaluation measures to use. Besides using overall evaluation ...

We are planning a study of the effectiveness of two therapies for treating depression. Group A will receive the current therapy and group B will receive a new and improved therapy. Participants are ...

I am doing several tests. Each test is made under different conditions and I want to know how the different conditions affect the results. The test samples are liquids. I am doing only one test under ...

I am trying to integrate the function $f = \int \sigma(\boldsymbol{x})_i \mathcal{N}(x_i | \mu_i, \sigma_i^2) d x_i$ where $\sigma(\boldsymbol{x})_i$ is the softmax function over variables $\...

In simple logistic regression, a common interpretation of the model coefficient Beta is that a 'one-unit increase in the independent variable is associated with an increase of the log-odds ratio of ...

Suppose two data arrays of length $n$ with variance $\sigma^2$ and mean $\mu$. Is the pooled variance $\sigma_P^2 = \frac{(n_1-1)\sigma_1^2 + (n_2-1)\sigma_2^2}{(n_1-1) + (n_2-1)}$ equal to the ...

An exponential family (under natural parameterization) is such that $p(X|\eta)=h(X)\exp\{\eta^TT(X)-A(\eta)\}$, where $X$ is the data, $\eta$ is the natural parameter, and $h,T,A$ are some functions (...

I'm working on a survival analysis and have narrowed down the cox-PH formula to be: either Surv(time, event) ~ A + B + C; or Surv(time, event) ~ A + B + C + D. The permutation importance (using ...

I have determined the volume of multiple objects via two different methods. I would like to express, per object, something like the percent error: $\delta = \frac{|V - V_{approx}|}{V} \cdot 100$ ...

I have 7 moderators while fitting the mixed effect model using the metafor package, my results show many interactions and I am a bit confused on how to present ...

I ran two MCMC simulations and want to compare whether the resulted mean of the two posterior groups are different or not. If I only have their mean, lower, and upper credible intervals, is there a ...

In my glmer model, there are four variables treated as fixed effects: A (categorical, 2 levels), B (categorical, 3 level), ...

I estimate a linear model consisting of one dependent and four independent variables. I want to test wether each of the independent variables has a significant impact on the dependent variable, i.e. I ...

The MASS:lda() R function for linear discriminant analysis implements both classical and robust versions of LDA. But I noticed that the argument for leave-one-out ...

Could someone clarify these four terms that I keep hearing about, case fatality rate(CFR) deaths per 100,000 population infection fatality rate mortality rate As far as I know case fatality ratio ...

A lot of business have been hit by the current pandemic. If I want to do a demand forecast for say next 3 months, how do I adjust the corona virus situation in my model?. Which method should I use? ...

A little bit about my data: I have four treatment groups: control, early, late, both. For each group, I counted nymphs and eggs on leaves on five different dates. The design is randomized complete ...

For my research, I'm representing first order logic statements as Directed Acyclic Graphs (DAGs). Each node in such a DAG has a symbol associated with it (which is modelled as a one-hot node feature ...

I've fitted a logistic regression, response is gender of teachers in a school leadership role (female=1), and the predictor is 'type' of school. School type is categorical with three values: co-...

ProPublica kindly provided the COMPAS Recidivism data in the github: https://github.com/propublica/compas-analysis/blob/master/compas-scores-two-years-violent.csv Most of the features are clear from ...

I saw this question posted on glassdoor for a data scientist position, and it got my thinking. When people use the word performance, do they typically refer to (1) performance on the training data (2) ...

In the paper "ImageNet Classification with Deep Convolutional Neural Networks",the 6th section " Results",said "Averaging the predictions of five similar CNNs gives an error ...

Suppose I know that the likelihood function for an estimate of effect size (called dppc) measuring the change in a control group from pre-test to post-test in ...

I am learning how to transform and standardize data for building more precise models. I did not find any information if it is legit to transform independent variables with one technique (for instance, ...

Consider a race with 140 participants. How many possible outcomes are there for the top three positions of gold, silver, and bronze? (4 ...

Firstly, I don't have a stats background, so please accept my apologies for any errors or misunderstandings in the question below. I'm trying to use R to draw values from a discrete probability ...

I collected test scores of math and physics of my students every year over the last 20 years. Math score distribution looks different from physics distribution; neither follows any particular ...

It is well known that being $X$ and $Y$ two independent random variables with distributions $f_X(x)$ and $f_Y(y)$, respectively, then the probability distribution of the multiplicative function $z = ...

In wikipedia on beta distribution, they say that domain of hyperparameter $\alpha, \beta$ are positive real numbers. However, according to my reasons, the domain of $\alpha, \beta$ should be limited ...

I am trying to determine the expected value of a set of bookings at a vector of given prices and a vector of given probabilities, one price and probability for each booking. The twist is that I need ...

I’m building a machine learning model that has continuous, discrete and one-hot encoded features. I would like to use mutual_info_classif for feature selection (through SelectKBest). Do I need to use ...

I am currently working on a problem of time series forecasting where I want to evaluate a model's predictions based on how accurately it captures the trend with respect to the absolute values as ...

I am new to Bayesian variable selection. In Bayesian one of the popular method of doing variable selection is using spike and slab priors. The spike and slab priors have this spike component and slab ...

I have performed linear regression using commonly used iris dataset. Following is the output: I believe the bottom indices (marked by purple box) are of residuals. How do we interpret these and what ...

I have a large dataset with thousands of entries. there are two columns the first being a type value (A,B,C,D,E,F) and the second column is a raw data value. I'd like to run statistical analysis on ...

The long title says it all. For example, I have performed linear regression (OLS) with commonly used iris dataset using following formula: PL ~ SW + Species ...