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3 views

Is transfer entropy the same as conditional mutual information?

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 ...
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0answers
3 views

what is standard 10-view predition?

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 ...
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4 views

direction Mahalanobis distance

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 ...
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0answers
3 views

Interpreting clustering results with Expectation-Maximisation algorithm for nominal data

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 ...
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0answers
5 views

What is the meaning of “lag” in Box.test (Ljung-Box test)

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, ...
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0answers
6 views

Correlation is to covariance, what mutual information is to --?

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. ...
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0answers
2 views

Parsimonious Mixed Models

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 ...
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0answers
9 views

How to normalize data in R

This is my data: ...
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0answers
4 views

Batch normalization and the need for bias in neural networks

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 ...
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0answers
4 views

Moving Average window

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 ...
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0answers
13 views

what is the difference between Lasso and Logistic regression with L1 penalty?

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?
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0answers
3 views

What's the meaning of these notations in the cost fuction?

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 ...
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4 views

Extracting information from form document through supervised learning

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 ...
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0answers
7 views

Does there exist an analytical solution to the log-likelihood minimisation for a Gaussian model with linear variance?

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\\ ...
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1answer
8 views

Which evaluation measures to use for match prediction?

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 ...
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0answers
3 views

What statistical test is appropriate for the following experimental design, apart from mixed two-way ANOVA?

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 ...
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0answers
8 views

How do you determine the time needed for a sample to get an approximate of the population mean

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 ...
1
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0answers
7 views

Convolution of Gaussian with Softmax

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 $\...
1
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1answer
15 views

interpretation of model coefficient in logistic regression

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 ...
2
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1answer
10 views

Is the pooled variance equal to the variance of the centered populations?

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 ...
1
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1answer
26 views

Is a maximum likelihood estimator in an exponential family always sufficient?

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 (...
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0answers
8 views

Permutation importance vs ANOVA Chi-sq (survival)

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 ...
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0answers
8 views

How to compare two estimates?

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

How do I interpret results of a mixed effect linear regression with 7 independent variables accounting for variability of one dependent variable?

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 ...
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0answers
13 views

Testing mean of two groups with their mean, lower CI (2.5%), and upper CI (97.5%)

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 ...
0
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1answer
21 views

Can I reduce fixed factors when there is convergence failure in glmer

In my glmer model, there are four variables treated as fixed effects: A (categorical, 2 levels), B (categorical, 3 level), ...
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0answers
11 views

Testing multiple hypotheses multiple times

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 ...
0
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0answers
4 views

LOOCV with robust linear discriminant analysis in R

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 ...
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0answers
14 views

Case fatality rate vs Infection fatality rate vs Deaths per 100,000 population vs Mortality rate

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 ...
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0answers
10 views

How do I adjust the corona virus situation for demand forecasting?

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? ...
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1answer
6 views

How do I interpret this hurdle model summary (pscl)?

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 ...
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0answers
4 views

Permutation sensitive Graph Neural Network

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 ...
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0answers
3 views

How do I account for extra information I have about the distribution of the response variable in a logistic regression analysis?

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-...
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0answers
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ProPublica's COMPAS Data | Feature Descriptions

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 ...
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1answer
23 views

Interview question: How to measure performance of linear regression?

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) ...
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0answers
8 views

a question about AlexNet

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 ...
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0answers
15 views

Obtaining Standard Error of an estimate knowing its likelihood function (in R)

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 ...
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1answer
12 views

Transforming dependent and independent variables with different techniques

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, ...
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0answers
15 views

These questions regarding probability distribution are confusing to solve. Need your help [closed]

Consider a race with 140 participants. How many possible outcomes are there for the top three positions of gold, silver, and bronze? (4 ...
1
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2answers
29 views

Is there a discrete distribution I can use for sampling in R?

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 ...
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0answers
8 views

How to predict a distribution from another distribution using neural network

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 ...
2
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1answer
31 views

Probability distribution of the product of two dependent random variables

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 = ...
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0answers
11 views

Are $\alpha, \beta$ of Beta distribution positive integer inn Thompson Sampling

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 ...
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0answers
11 views

Find the expected value of total revenue given a booking window and a set of possible bookings

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 ...
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0answers
1 view

Does feature selection with mutual information require scaling?

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 ...
0
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0answers
5 views

R-Squared for trends

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 ...
0
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0answers
5 views

How to estimate the point mass portion of the spike and slab priors?

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 ...
0
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0answers
8 views

What are acceptable limits for residual indices after regression?

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 ...
2
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0answers
7 views

Suggestion on statistical models that compare likeness

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 ...
1
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1answer
16 views

What do exponential of coefficients (like odds ratio in logistic regression) from linear regression indicate?

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 ...

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