All Questions

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, ...

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?

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 ...

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 ...

Is there a way to translate from R's rgamma(MSamples, shape = kA, scale = thetaA) gamma random distribution, to Python scipy's ...

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" (...

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 ...

I find myself buried deep into a generalised linear mixed effect model, slightly out of my depth, and need help interpreting what its saying and diagnosing the model assumptions. The model: ...

I have a very imbalanced dataset with the ratio of the positive samples to the negative samples being 1:496. The scoring metric is the f1 score,and my desired model is LightGBM. I am using the sklearn ...

I'm writing my thesis on people's attitude. The problem is, I have way more female (75%) than male (25%). I wanted to run an analysis on the different attitude between men and women, but I'm not sure ...

The output of coxph has coefficients vector as follows: ...

I am trying to detect whether there is a significant change in plankton size over time. As I understand, this is referred to as stationarity testing in time series analysis. Unfortunately, my time ...

I'm trying to prove to myself that a single state/single measurement kalman update can be derived using bayes theorem (as proof of concept for a more complicated task) only using the PDF. I am able ...

I have run a generalized linear mixed effects model with the glmmTMB package to determine if there is an interaction between two categorical predictors, treatment and location, in predicting the ...

I'm using stats.beta.ppf(prob,alpha,beta) in Python with very high probability values, for example prob=0.999999805056895. This appears to be producing incorrect results, returning a value of 1 (it ...

I have a practical visual problem. I would like to mirror the results of the PCA. In other words, everything that is on the left should go to the right and vice-versa. For instance, now the higher ...

Consider a random sample from exponential distribution with mean $\frac{1}{\theta}$. I have to prove that $nX_{(1)}$ is not consistent for $\frac{1}{\theta}$ . A sufficient condition for consistency ...

Let's say I have a set of observations $Y=\{Y_1,\ldots,Y_N\}$ where each observation is created as the sum of two random variables, i.e. $Y_i=X_{1,i}+X_{2,i}$. Also, I know that $X_1 \sim Dist_1(\...

I am running an SVM on a very small dataset of 56 items, 20 features and 4 classes. I want to know which features are the most important for classification, and how they interact (no future real ...

I am running research in which I try to analyze the effect that it has the duration of a study abroad program (such as Erasmus+) on different employment outcomes. Given that participation in a study ...

Can I use the Cramer-Rao Lower Bound to show that the variance of the least square estimate of the vector of parameters $\beta$ is the same as the the CRLB lower bound, i.e. the first diagonal element ...

I've been using ARIMA modelling to predict the number of orders a business receives. I have data for 3 years, and the time series shows a strong (uneven) upward trend, with increasing variance over ...

I'm optimizing prediction model for time series data trends. Each trend may have seasonality effect or may not. I want to classify each trend into one of the following groups: "seasonality" or "no ...

Suppose that I have a simulation data (1000 repeated). Assume further that I have simulated the data from copula models. Then, I would like to test my algorithm (to estimate the copula parameters). ...

I have a dataset in which each sample has only two features. I designed my own gradient descent algorithm, and applied it to my dataset. However, I could not obtain a result. Then, I printed the ...

I am trying to understand logistic regression, but most sources I have found tend to leave the actual computational step as sort of a "black box", like using r glm(y~x,...) which obscures the ...

I have now been studying mixed models for about a month, I am still a pure beginner. I have zero inflated semi continuous dependent variable (yield of trees between two periods). Exploring ...

I am new in GAMM and I am analyzing a data to find the effect of year, tree species and their interaction on richness of insects on the trees. I expect that year will have an overall nonlinear effect. ...

I am interested in modelling physical/dynamic systems with deep learning, and I think that recurrent neural networks should be a good way to model systems that can be normally represented by state-...

I am totally new to the concept, but I would like to apply a MTE estimation within the following simultaneous equation model (if it is even possible) : \begin{cases} Y_i = \alpha_0 + \alpha_1. A_i + ...

I extract feature with a conv net at last fully connected layer got around 85% performances on training set and 80% on test set. I use feature from CNN TEST set and I train multiple classifier (svc, ...

I ran a PLS-DA model with 10-fold cross-validation to classify data in 2 groups (using the Caret package in R). The predicted probabilities are close to 0.5 (the highest propbability is just 0.7). The ...

So, I estimated some spatial models using the spatialreg r package: A SLX, a SAR and a SEM model. Now I want to get coefficients and standard errors out; in the past I usually used either the ...

I am confused by the paper of Kan et al. (2013 - "Pricing Model Performance and the Two-Pass Cross-Sectional Regression Methodology") which proposes the execution of hypothesis tests on R² of ...

What mediation analysis should I use if I have two proposed mediators for my intervention, and want to account for the time factor?

I have run a simple binomial regression using the rethinking package in R, but I just want to double check that my interpretation is correct. Here is my model: ...

I have a large dataset with some related variables. I want to group these variables and create some indexs which can be like a sumary of my data. For example I could have 10 variables related to CPU ...

I want to calculate the confidence interval using varmod.earth function as shown in the example of R packages. I run the code and it is showing that: !is.null(leverages) is not TRUE. I could not ...

I am aiming to build a NN that would be optimally combining classification and regression. I have reformulated the task such that it would be less abstract and would like to know if the proposed ...

I am not sure if I understood Dikran Marsupial in this thread correctly: Dikran Marsupial comment on Jan 22 2019 at 11:38: Dikran suggests that nested CV is only used for performance estimates of ...

I have used qqggplot from the gpubr package in R, and I would like to modify it so that the reference line is red, not black... Does someone know how to do that? I am not too familiar with the ggplot2 ...

I have run a linear mixed effects model with individual as a random effect. I have three separate measurements of each individual. The random effect is significant, ...

I have a set of problem instances of some type, and a set of algorithms which all solve that type of problem. The problems come in m different sizes and for each size I have the same number of ...

I have weather data for the 40 previous years and for each year I have information about the hurricane season (intensity, number of active days, casualties,...). My ultimate goal would be to forecast ...

I was just looking at this tool by Professor Hossein Arsham to check for the presence of seasonality in the data using seasonal indices. https://home.ubalt.edu/ntsbarsh/Business-stat/otherapplets/...

I need to do simulation using R to find the ARL( EWMA control chart )for the skewed data(i use gamma distribution for this purpose. Below are my simulation for the gamma distribution of shape 0.7 ...

I used the following code to calculate the perplexity of a corpus but it is giving me extremely low answer for bigram analyses. For Brown Corpus I am getting a result of 4.6. ...

I am trying to estimate panel data gravity model in R and I need to implement time-varying country fixed effects. How can I do it?

I am trying to built a data model with Knime, where I use functions in python for data wrangling and the metanodes (java/R) in Knime for forecasting. Untill now I discovered that I do not have ...

I have a question in measure theory: given two measures $\nu$ and $\mu$, we say that $\nu$ is absolutely continuous of $\mu$ if for Borel set $A$ such that $\mu(A)=0$, we have $\nu(A)=0$. I want to ...