All Questions

I was watching a video on backprop from deeplearning.ai where one particular thing confused me a lot. In the backprop, as shown below, Why aren't we averaging <...

In the statistical inference for particle physics is the trial factor analogous to Bayes factor but for the frequentist analysis?

I am working on a project where I will be using Approximate Bayesian Computation (Likelihood-Free Inference) in order to improve an Elevator Group Control System, e.g. minimize the waiting time of the ...

What is the difference in terms of inference? Does Instantaneous captures the short term cause and effects?

Suppose I have a multivariate linear model: $y = Z\bar{\alpha} + x\beta + \epsilon$ Where $Z$ is a matrix of covariates and $\bar{\alpha}$ are their effects. I refer to them as covariates as I am ...

I know there might already be tons of questions around understanding the interpretation of p-Values, however I would ask the question in a very limited form and with the use of a specific example ...

I'm new to statistics so am trying to choose the best analysis to find if; There is a difference between canopy cover (0-100%) at different sites There is a relationship between canopy cover and ...

I have a 2 factors repeated measure ANOVA for measuring Response Time to stimuli in two different contexts with two different stimulus types. The context and is not supposed to have any main effect. ...

I am trying to do Bayesian analysis using pymc3 and bambi softwares. My data shape is 136x5 and top 5 rows are as follows: ...

I am running a Probit model in R and find trouble interpreting the Z Value of -9.974. Obviously, it is not the same as the Z-score. So how do I interpret it and is t the same as the t-statistic on my ...

I have a data with 4 groups and multiple variables with measured values. my groups are ES, EP, PP and PS. ES and EP are associated and PP and PS are too. So i would like to compare my groups in non ...

THE FRAMEWORK: Let $X_1$ be an observation from a normal random variable with mean zero and variance $\sigma^2$ and lets call the PDF $f(x)$. I want to minimize the Kullback Liebler Information ...

I'm not great at stats and hope for a bit of help.. I have two sets of peoples first and last names the first group has about 5000 unique first and last names and the second about 300. When I compare ...

I have 2 CDF's with equal number of points that I want to compare. These are from: Temperature of 1 month from 2012 Mean temperature across months What can I do to obtain this difference, this is ...

I am a second year MSc ACFN student at Addis Ababa University, Ethiopia. Now, I am conducting my research on the "effect of leverage on profitability and I use a panel data". When I was trying to ...

I am reading some introductory texts on neural networks. While I am able to understand that the error in the final layer of the neural network is but I am not able to understand how the errors in ...

I am trying to implement Double Q-Learning using neural networks from the Keras library. When I first tried Simple DQN, the graph of the reward was fluctuating a lot so, I implemented a Double DQN. ...

I have two columns "name" and "link" which indicates the name of the firm and the link to scrap from. How do I put back the name column so that each row of scrapped data will have a column with the ...

Suppose we generate a random variable X in the following way. First we flip a fair coin. If the coin is heads, take X to have a Unif(0,1) distribution. If the coin is tails, take X to have a Unif(3,4) ...

1 Why statistical significance is not a good tool in experimental studies with human subjects? Wittingstein -Complicated experimental design -Mother tongue (explanation of the experiment by the ...

i want to know why is important use CDF for this analysis of TMY (typical meteorological year) because i have the data of the month for compare with the long plaze mean, but for me dont make sense, ...

I know that Shannon entropy is defined as $-\sum_{i=1}^kp_i\log(p_i)$. For the uniform distribution, $p_i=\frac{1}{k}$, so this becomes $-\sum_{i=1}^k\frac{1}{k}\log\left(\frac{1}{k}\right)$. Further ...

I have a GLM with formula model_1 <- glm.nb(Number ~ WL, data = data_1, link = "identity") My sample size for this model is 30. The summary of the model is ...

Suppose I have a Dirichlet Process Mixture model defined as follows: $\alpha \sim G(a,b)\\ \pi|\alpha \sim \text{Dir}(\alpha)\\ z|\pi \sim \text{Cat}(\pi)\\ $ where $G$ is just a standard Gamma ...

We have 3000 samples for two classes, roughly 2000:1000. Our plan is to train a classifier on the samples but first to set aside 30% randomly selected stratified samples as a "holdout data set" for a ...

I want to try to get the significance of my Nei Fst values through bootstrapping. I have a large data set of SNPs from RADseq data. They are in 4 populations: River, Lake, Outgroup1, Outgroup2. My ...

I always know that kernel size should be smaller than input size. I wonder what if the opposite. For example, if I have a 2d average pooling layer: Input size=4X4, Kernel size=6,Stride=1,Padding = ...

This is not a homework question. I discovered that I am not the only tenant in a highrise that is getting headaches from paint fumes. I talked to one couple in the elevator about the paint fumes. I ...

In Learning from Data course taught by Caltech Professor Yaser Abu-Mostafa the following notation is used to describe the in sample and out of sample errors. $E_{in}[h]=\dfrac{1}{N}\sum_{n=1}^Ne(h(...

I came across this statment "Even extreme multicollinearity (so long as it is not perfect) does not violate OLS assumptions. OLS estimates are still unbiased and BLUE (Best Linear Unbiased Estimators)"...

I'd like to better understand how to report the out-of-sample prediction performance using repeated k-folds cross-validation. I think I have a reasonably good understanding of the motivation for ...

I have been trying to implement the LSTM backward pass myself. However I am confused since different sources are using different formulation for this. For example in the Andrew Ng's Coursera course, ...

I am new to machine learning and lstm. I am referring this link LSTM for multistep forecasting for Encoder-Decoder LSTM Model With Multivariate Input section. Here ...

I have a landslide model and generated 1000 bootstrap samples of coefficients for 2 predictor variables (slope and log10_carea) using glm. I have created a ...

I need to do the research about the risk factors that contribute to heart failure. The data I have just the censored data with some risk factors of heart failure. And I need to use logistic regression ...

Suppose that you are not interested in which samples get which predicted class but only for the distribution of classes in a set of samples. For example you are comparing websites on the basis of "...

I am relatively new to statistical forecasting, I understand how to analyse the ACF plot to identify certain components such as seasonality, trend etc. However I am having trouble understanding the ...

I have data of blood sugar level and 8 predictor variables of 15000 subjects. Some of the predictor variables are categorical. I want to determine independent predictors of blood sugar levels. I can ...

I have panel data for 3 countries, ranging over 3 years. The dataset is called CarProduction ...

So I would like to analyze the value attitude differences between two generations (Young people's generation and their parents' generation). I understand that normally independent t test or Anova can ...

Assume I am measuring the glycemic index with a blood glucose meter and its results fall within a $20\%$ range of real lab results. Example if the real blood glucose (BC) is $100$, the meter can ...

The BERT Paper https://arxiv.org/pdf/1810.04805.pdf Section 4.2 covers the SQuAD training. So from my understanding, there are two extra parameters trained, they are two vectors with the same ...

I'm trying to fit a generalised mixed model for some embryo data and I am getting the error for singular fit. my model is ...

How to use convolutions of pictures instead of FC layers? How can i do this effectively and efficiently.

I have used MCMC to estimate the value of a parameter $\theta$ from some data. I have thousands of samples from the (marginal) posterior distribution. The distribution of $\theta$ is roughly Normally ...

A little background - I'm trying to use multivariate random forest modeling to understand the importance of environmental variables on microbial communities (illumina sequencing) along a latitudinal ...

In his SIFT paper, why did Lowe choose to use a Hough transform rather than RANSAC to recognize clusters of 3 consistent features? (Note that RANSAC is more efficient in comparison with Hough) Link ...

I'm doing an exercise from Microeconometrics Using Stata, by Cameron and Trivedi, Exercise 11 of Chapter 6 (page 204). "When an endogenous variable enters the regression nonlinearly, the obvious IV ...

I am running a regression model to predict dropout from an online program. People have to take 5 classes but some people dropped before taking the 5 courses. So I am using a dummy variables that is 1 ...

What would be an easy way to conceptually explain to someone what an ex-Gaussian analysis is? I could say that it is a convolution of a Gaussian and exponential distribution but I'm afraid that that ...