All Questions

We are doing an assignment for our Advanced Econometrics course for which we are trying to illustrate Gordin's Central Limit Theorem by simulation. We used an AR(1) process to show that if the ...

I'm trying to find a policy for a simple game using R-learning algorithm. I have a field with values (agent can move in 4 directions) and the goal is to get from starting point to finish point with ...

I have a high-dimensional joint probability distribution. I know the value of $P(x_1, x_2, \ldots x_N)$ for 10,000 random values of $x_1, \ldots x_N$. I want to find the marginal probability of $x_1$...

I have a big dataset (More than 200 thousand lines and a thousand of trials) with four colunms with follow information: "Trials", a sequencial number); "Is.Check", a column with 1 for checks and 0 for ...

I hope this is not a programming question, the question pertains more to the program itself, and I see we have a tag for that. STATA checks for errors such as collinearity while running a simulation. ...

Let's say I have a data set that mixes categorical and continuous features and I would like to study the relative importance of each feature in the prediction of a certain class. For that I am using ...

I have model where my dependent variable is Total money spend and then I have independent variable Income and some other ...

I am really struggling with whether to include lagged dependent variables or not. I have read the logic (on this website) that a lagged dependent variable should include if its current value is ...

I'm trying to run a mixed model analysis with a negative binomial distribution. Here is the code and the result: ...

I have a data set of velocity measurements which I hypothesized as measuring a constant and did some basic chi-squared statistics and a Monte-Carlo simulation to find the mean and variance of this. I ...

Apologies, if the question is very broad, my knowledge of statistics is from social science background. Recently was provided data in form of ID 2014-01 .... 2014-12 , 2015-01...........2017-12 No. ...

I am using PROC GENMOD with time series data, I have tried to work with Negative Binomial, Poisson, GEE and Zero Inflated Poisson, but in each case when I score my validation dataset, I am getting ...

I have a OLS regression in the form: $$Y_t=\alpha +\beta X_{t-1}+\varepsilon_{t}$$ Can I average out the constant during the OLS estimation/derivation and report, $$y_t=\beta X_{t-1}+\varepsilon_{...

I have used ksvm to train a model, however I don't have a clue on how to the get the contributing features that were selected/used. The following code was used: <...

How are the ranges that make up False Positive/Negative chosen?

The bootstrap estimates bias by applying the "plug-in" principle to $$E(\hat{\theta}_n) - \theta$$ I got this knowledge from p.124 of Efron, Tibshirani, 1994. equation(10.1) $\text{bias}_F=E_F[s(\...

I'm new to bioinformatics, and I have a pretty basic question. Let's say I have a bunch of genes {Xi} and I want to know which one has the most significant on some measurable phenotypic trait Y. Now I ...

Can anyone explain this to me in simple english without too much complex algebra please? Hw and why etc. Thx

This may have been answered and I'm simply not using the correct search terms to find the answer/thread. If so i apologize, please point me in the right direction I have two data sets (3 ...

My sampling rate is 1/1000 for netflow data. May I know what is the suggested algorithm/codes to reconstruct this data? Thanks,

Recently I started reading more about NLP in order to learn more about the subject. The problem that I've encountered, now that I'm trying to make my own classification algorithm (the text sends a ...

i regressing a dependent variable (return on investment) on 3 environmental strategies. It was suggested to me to look for complementary and substitutive effects. A hypothesis looks like this: "...

Simonyan et al. 2014 approximate a neural network locally by a linear function and take the weights of this approximation as a measure for support of a specific class. Can someone explain to me why ...

I am conducting a retrospective cohort study in which I have 10,000 cases with exposure to X, and a very large control population (10,000,000+ subjects) without exposure. I am taking an individual ...

I would like to produce a 3-d plot based on density of 2-d data. This can be achieved for example in R using the kde2d function from the ...

I am receiving . I have the A parameter which takes values: and B parameter: the target real values are: Given that A and B parameters , take the most values in a specific range, can we say that ...

I am developing a recommender based on implicit feedback. The feedback is mainly the time someone spends on a product in a day. Then I transform this feedback to a rating matrix in order to implement ...

My knowledge of statistics is pretty limited at this point, so you'll have to excuse my ignorance. We've performed prospective randomised study looking at the differences in detection rates of cancer ...

I am learning coupla. I read that we need to transform the margins to the uniform distribution in order to get the copula data. Is that correct? Also, I read that to obtain copula data, we can ...

I am trying to infer the characteristics from a sampled netflow data. And I am using MLE and expected maximisation algorithm according to this pdf However, Im stuck because I dont know how to get ...

So I am new to regression and I have a basic doubt: Let's say I have 100 unique products(product id) which have a lot of other features that contribute in calculating the product_price(dependent ...

What is the difference between Generative Adversarial Networks (GAN) and Generative Antagonistic System (GAS) in the neural network?

I have searched Cross Validated and read the documentation of the stats package in R, but I cannot figure out, whether the arima() implementation uses additive or ...

I am studying the effect of two variables x1 and x2 on response variable y. Interaction term ...

I am new to R and is exploring quantstrat for backtesting purposes. I have some fundamental question that I really hope someone can assist. From my understanding, quantstrat only evaluate the ...

My goal is to understand the effect of a promotion campaign on sales of a product. My hypothesis is that there isn't enough variation in my campaign variable to run regression. I've ~200 geographical ...

The annual rainfall (in inches) in a certain region is normally distributed with μ = 40, σ = 4. What is the probability that in 2 of the next 4 years the rainfall will exceed 50 inches? Assume that ...

Let $\hat{\theta}_n$ be an estimator of the parameter $\theta$ from the sample $\Omega_n$ of $n$ observations, satisfying that $\sqrt{n} (\hat{\theta}_n-\theta) \overset{d}{\longrightarrow} \mathcal{N}...

I have tenure data for workers who have left the factory and also who are still working in the factory. I need to calculate average time spent by worker in the factory?. what data should i consider ...

In the linear regression problem, using a simple linear model with 1 variable & with 2 model parameters, performing batch Gradient Descent(GD) & assuming I am using Mean Square error as my ...

Noonan syndrome is a genetic condition that can affect the heart, growth, blood clotting,and mental and physical development. Noonan et al. examined the stature of men and women with Noonan syndrome. ...

I am dealing with compositional data, in a high dimension. Each sample I have behaves like: $$ {S}^D=\left\{\mathbf{x}=[x_1,x_2,\dots,x_D]\in\mathbb{R}^D \,\left|\, x_i>0,i=1,2,\dots,D; \sum_{i=1}...

Suppose I have a model like $$y =\alpha + x_1\beta $$ and that there exists another variable, $x_2$, that is correlated with both $y$ and $x_1$. However, changing $x_1$ will cause changes in $x_2$ ...

I have run a generalized linear mixed model (link=logit) and my outcome of interest is present in about 8% of observations. The total sample is 1,717,323 and of these 131,389 observations are where ...

How does the below code give CDF? Can someone please explain what np.arange(len(sorted_data))/float(len(sorted_data)-1) does? ...

I have the following outcome (second-stage) equation: $$y = \beta_0 + \beta_1w + \beta_2x + \beta_3w x + \cdots$$ $y$, $w$ and $x$ are all binary. Both $w$ and $x$ are endogenous, but I have an ...

I was trying to plot a histogram for no of Malignant vs benign tumors. Here is the kaggle kernel I am practising from:https://www.kaggle.com/kanncaa1/basic-statistic-tutorial-for-beginners However, I ...

I came across an example about interchange of differentiation and summation. Can anyone show me how to prove the equation in the picture? Thank you!

I want to work on multi-document summarization task. DUC2007 is a multi-document summarization dataset. What other datasets are available in the context of multi-document summarization?

I am trying to work on a project on MALDI-TOF MS dataset. The dataset contains mass-spectrometry data of pure samples (1 bacterium species) and mixed samples (mixtures in known proportions of 2 ...