All Questions

0
votes
0answers
4 views

How to read a multinomial logistic regression output in R

I have already tried google and Youtube but I am still slightly confused on how to read the output. It's difficult to read the output because there are no stars and it's not in a simplified format ...
0
votes
0answers
2 views

Models for ranking possible classifications by confidence

What are good means of finding the various highest confidences or likelihoods for the hundred possible outcomes of a classification problem? Inputs belong to only one class, unlike document ranking, ...
0
votes
0answers
4 views

Is there a keyword recognition system without learning the Phoneme

As I understand in speech processing and machine learning area "keyword recognition" (also termed as keyword spotting) is a important part. In "keyword recognition" sytem it is desired to learn a ...
0
votes
0answers
3 views

Multiple Imputation with categorical variable for treatment: Do I have to impute stratified by treatment?

I want to impute data for a clinical trial with four treatments and analyze the data to determine if there is a treatment effect. Normally I would perform the imputation stratified by treatment so ...
0
votes
0answers
5 views

How to deal with training data after cross validation?

I have imbalanced data and used undersampling to construct several logistic regression models, using the way very similar to EasyEnsemble. The parameters, like regularization, number of models were ...
0
votes
0answers
6 views

Derviation of Lasso dural form problem

On page 13 of https://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-110.html, "For each i, consider each optimization problem" $ \max\limits_{z_i}u_i^Tz_i-m_i log\left(\sum_{j=1}^n \delta_{ij} ...
0
votes
0answers
10 views

Convert regression coefficient from fixed effects model to percentage increase

I'm running the following fixed-effect model in R: felm(DV ~ treatment*intervention | week + participant | 0 | participant_id) i.e., I'm controlling for the fixed ...
0
votes
0answers
4 views

How to calculate new ability estimate after answered question in 1PL MLE computer adaptive tesing model?

As you can probably tell from the question, I'm new to computer adaptive testing. I'm currently building a little computer adaptive test program using a 1P IRT curve. I've been reading a lot of ...
0
votes
0answers
6 views

homoscedasticity in multilinear regression

I tried to test the assumptions of multilinear regression. For the homoscedasticity, I found the following two graphs: the first graph is for all data and the second graph is for all data after ...
0
votes
0answers
4 views

Increasing image size in pytorch celebrity generating GAN?

complete newbie here, bear with me. I'm making my way through this tutorial: https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html Upon attempting to make a simple change to the image ...
0
votes
0answers
2 views

MLE with higher order markov chain model

I am trying to estimate my Markov chain model. I understand that in a standard model, a higher order will lead to overfitting and higher likelihood. Hence, one can use AIC/BIC to find the order of the ...
0
votes
0answers
6 views

Am I sampling precision or vairance with the Gamma distribution in a Gibbs Sampler?

I want to confirm my thinking on a quick question I have regarding the Normal-Gamma Gibbs sampler that we see so often, but I am unable to find a satisfactory answer. If we are interested in ...
0
votes
0answers
11 views

Conditional coverage probability

Suppose I'm interested in a population mean $\mu$ of some finite discrete variable $Y \sim P$ defined on $\mathbb{R}$. I have a $100(1-\alpha)\%$ confidence interval for the sample estimate $\hat{\mu}$...
1
vote
0answers
9 views

Variance of $\hat{\beta}$ in Ridge Regression

If you are using ridge regression, what happens to the variance of your parameter estimates relative to regular regression? My intuition is telling me that it would decrease because you are doing a ...
0
votes
0answers
8 views

How do I calculate the standard deviation of a mean value for a joint distribution? [on hold]

Say I have a function $f(\mathbf{x})$ where $\mathbf{x}$ is a vector of 0s and 1s. Each of these 0s or 1s, $x_i$, comes from a probability distribution $p(x_i | x_1, \dots, x_{i-1})$. When I sample ...
0
votes
0answers
8 views

On which subjects generate a quantile estimation?

I would like to analysis the association between continuous exposure and binary outcome in the case-control study design. Moreover, I want to categorize the continuous expousre as a quantile format. ...
1
vote
0answers
12 views

Should I use a linear mixed model or a generalized mixed model?

I have a test dataset with repeated measures, different individuals sampled at different time points, here measured in days. I want to know if I should use a GLMM or a LMM to see how well, if at all, ...
0
votes
2answers
24 views

Should I remove the intercept when regressing against one variable (country income)?

I understand that one should not remove the intercept, unless there is a very special circumstance. (see: When is it ok to remove the intercept in a linear regression model?) However, if I am running ...
0
votes
1answer
6 views

What does this output from SelectKBest mean?

I am using selectKBest from ScikitLearn. I am getting this kind of output with mutual_info_regression. Y Column: someYColumn, Predictors: ['predi.1', 'predj', 'predk', 'predk.1', 'predk.2'] ...
1
vote
0answers
12 views

Difference between characteristic function and F-transform

I'm struggling to understand the difference between this two functions. I have this condition: $P_j:=\mathbb{Q}(S_T>K):=\frac{1}{2}+\frac{1}{\pi}\int_{0}^{+\infty}Re[\frac{e^{iuK}f_j(u,x,v)}{iu}]\...
0
votes
0answers
19 views

About estimators and Bernoulli distribution

I have this homework question which I'm not understanding. It goes as follows: Let $X_1,\dots, X_n$ be a random sample with Bernoulli distribution of parameter $p$ and let $T_n = \sum_{i=1}^n X_i$. ...
1
vote
0answers
11 views

Marginalizing statistical test results in a two-factor grid

Consider the following toy problem. Suppose that we have several food groups: meat, vegetables, fruit, etc. For any given pair of food types A and B, we ask whether people that eat both A AND B have a ...
0
votes
0answers
9 views

Variance of a Double Series [on hold]

Why does \begin{align} var\bigg(\frac{1}{br}\sum_j^b\sum_k^r{\beta_j}\bigg) &\neq \frac{1}{b^2r^2}\sum_j^b\sum_k^r{var(\beta_j)}\\ \frac{1}{b}\sigma^2_\beta &\neq \frac{1}{br}\sigma^2_\beta \...
0
votes
2answers
22 views

How to form groups before randomizing the treatment assignment?

Consider the following example. You want to assess the effect of a new class program on educational outcomes relative to the old program. You have recruited $N$ subjects for a randomized control trial ...
0
votes
1answer
12 views

Meaning of Graph from tensorBoard

Can someone please help me to interpret the graph from tensorBoard. I have attached the screenshot herewith.
0
votes
0answers
7 views

Reporting difference in distributions for text

I am working on a problem that can be translated to determining which of two corpora generated a given sample text. I have a hypothesis for before some processing and other for after processing, and ...
0
votes
0answers
16 views

Residual Analysis

I have just reproduced an example regarding a regression model for fibre strength data. The data consisted of tensile strengths of silicon carbide fibre at four different lengths. From the data, a ...
0
votes
0answers
12 views

Is chi squared test of independence correct with control group?

I'm analyzing some data from an experiment in which passage of time between conflicting tasks is my independent variable and one of my dependent variables is a dichotomous one ("A","B"). I also have a ...
0
votes
0answers
9 views

Correction for multiple testing of permutation p-values

I simultaneously performed multiple statistical tests on my samples under investigation. For each test i obtained p-value that i had to correct for ...
0
votes
0answers
14 views

“Online learning” for multinomial likelihood

I have a multinomial likelihood of the form: $$P(\underline n|\underline x) = N!\prod_{i=1}^M \frac{f_i(\underline x)^{n_i}}{n_i!}$$ where $\underline x$ is a vector of parameters, $f_i(\underline x)...
0
votes
0answers
10 views

Data distributions extrapolation

Is there a way to extrapolate (according to variance or other statistics) distributions from data? In other words, I have a gene expression matrix in which rows are genes while columns are samples (i....
0
votes
0answers
6 views

Action of Fisher information in “Latent Variable Model Selection…”

I'm having trouble understanding the role of the Fisher information matrix in the assumptions of Chandrasekaran et al. 2012. In the paper, the authors define the Fisher information matrix (i.e., ...
0
votes
0answers
11 views

Normalization of product of circular densities

I am working with $N$ r.v.'s distributed according to the Projected Normal distribution: $p_X(x \vert \theta, \xi) = \frac{1}{2\pi}{\rm e}^{-\frac{\xi^2}{2}}\left\{1+\sqrt{\frac{\pi}{2}}\xi\cos(x-\...
0
votes
1answer
21 views

Why does first differencing correct autocorrelation?

If we have an autocorrelated variable in the multiple regression model, why does taking first difference help?
0
votes
0answers
8 views

Sample size prediction in multivariate A-B testing

I need to run an A-B testing with one control group (40%) and 3 variants (20%) each. Base line = 0.65 Target lift = 0.25 Power =0.8 Confidence = 95% I found following R code to find minimum ...
0
votes
0answers
5 views

Gil-Pelaez condition

I'm struggling to understand some passages of proof of Gil-Pelaez condition here described (pag. 1,2), i.e. ** $P_j=\mathbb{Q}(S_T>K)=\frac{1}{2}+\frac{1}{\pi}\int_{0}^{+\infty}Re[\frac{e^{-iuK}...
0
votes
1answer
13 views

dmultinom discrepancy [on hold]

I am trying to write a simple Maximum Likelihood Estimator based on the following pmf for the multinomial distribution. $$f(x_{1},\ldots ,x_{k};n,p_{1},\ldots ,p_{k})=\frac{n!}{x_1!\cdots x_k!} p_1^{...
1
vote
0answers
10 views

Is it a problem if cluster sizes vary wildly in a cluster-randomized experiment?

Consider a cluster-randomized experiment. There are 4,000 clusters and 2,000,000 observations. The dependent variable y is dichotomous, $Y \in \{0, 1\}$, and ...
0
votes
2answers
16 views

Reporting the mean±StD from different-sized samples in the same barplot

I am analyzing a temperature image using a land cover map with the overall goal to prepare a barplot where I report the mean ± StDev temperature for each land cover class. To do so I assigned each ...
0
votes
0answers
6 views

How to use SPSS to run 4 rows by 3 columns of data for Chi-squared [on hold]

How can I input and run 4 rows by 3 columns of independent data for Chi-squared using SPSS with the following example
0
votes
1answer
14 views

Cross Validation Score difference between test/train individual r-square

I am new to Machine Learning, as part of my learning, I created a Linear Regression Model using two attributes for Boston Housing Price dataset. I am having doubts calculating : MSE and R-Square. So, ...
1
vote
0answers
24 views

Calculating standard errors of non-OLS regressions in python and scipy

Scipy provides the ability to get a number of metrics from the output of an OLS regression model, a few examples of which are the following: ...
0
votes
1answer
22 views

What is the relationship between: the first raw moment, location, expected value, mean in general, arithmetic mean for any sensible distribution?

I am a bit confused by the several sources telling that: the first raw moment is by definition the arithmetic mean expected value of any random variable is exactly the arithmetic mean The expected ...
0
votes
0answers
6 views

Interpreting Durbin–Wu–Hausman test with large sample size

I'm trying to determine whether to use random-effects or fixed-effects. The Durbin–Wu–Hausman is significant which suggests that fixed-effects are more appropriate. However, looking at the details, ...
0
votes
0answers
6 views

Can I use Free Energy as reconstruction error when I use RBM to anomaly detection?

Can I use Free Energy as reconstruction error when I use RBM to anomaly detection? If Free Energy of a sample more a threshold, can I regard it an outlier? How to explain Free Energy of RBM?
2
votes
1answer
58 views

Identifying a distribution

I am trying to understand what sort of distribution is produced by the following code. Using the following Matlab code we can generate a distribution (normalized such that the sum of the set is equal ...
2
votes
2answers
80 views

When to remove insignificant variables?

I'm working on logistic regression model. I checked the summary of the model which is built on 5 independent variables out which one is not significant with a P-value of 0.74.I wish to know that do we ...
-2
votes
0answers
17 views

Convert R's rgamma random sampling to Python scipy's gamma.rvs

Is there a way to translate from R's rgamma(MSamples, shape = kA, scale = thetaA) gamma random distribution, to Python scipy's ...
-1
votes
2answers
45 views

ML method to determine growth of accounts in a bank

Assume a bank has today N checking accounts, and also has 10 years history of the account balances. The history also includes related features such as "Allow overdraft" (Yes/No) and "Opening branch" (...
0
votes
0answers
8 views

Granger Causality: Sum of errors vs. determinant

I have been measuring Granger Causality between pairs of vectors processes (i.e. 2 vectors consisting of multiple time-series variables). Most of the equations I find in references utilize a ...

15 30 50 per page