All Questions

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5 views

Stationary processes that do not satisfy Gordin's central limit theorem

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 ...
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0answers
4 views

Convergence criterion for R-learning algorithm

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 ...
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0answers
4 views

Calculating marginal distribution from a randomly-spaced grid

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 $x_1$...
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0answers
3 views

How to extract specific intervals of the dataset?

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 ...
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0answers
10 views

Is STATA reliable?

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. ...
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0answers
5 views

Scale dummy variables in logistic regression

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 ...
0
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1answer
13 views

Linear regression - Can I log transform dependent variable and one of the independent ones and keep the rest not transformed?

I have model where my dependent variable is Total money spend and then I have independent variable Income and some other ...
0
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0answers
7 views

Lagged Dependent Variables (are they in or are they out) Vilasuso (2001, Jounral of Econometrics)

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 ...
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0answers
12 views

glmer in R, complex random effect

I'm trying to run a mixed model analysis with a negative binomial distribution. Here is the code and the result: ...
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0answers
12 views

Modeling a non-constant hypothesis [on hold]

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 ...
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0answers
9 views

Statistical technique for multipoint time series data

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. ...
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0answers
12 views

PROC GENMOD Negative Binomial doesn't predict zeros

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 ...
2
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0answers
20 views

Can I average out a constant (intercept) in OLS regression?

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_{...
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0answers
7 views

Retrieve the features used in SVM, (ksvm)

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: <...
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0answers
11 views

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

How are the ranges that make up False Positive/Negative chosen?
0
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1answer
20 views

arbitrariness in bootstrap bias estimation

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(\...
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0answers
4 views

A question about pca and gene function analysis

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 ...
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0answers
5 views

How do you estimate long-run coefficients from ARDL bounds test?

Can anyone explain this to me in simple english without too much complex algebra please? Hw and why etc. Thx
0
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0answers
6 views

Two data sets from test with a 95% confidence limit of reproduceability and standard deviation of each data set

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 ...
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0answers
6 views

What are the different algorithms/code to reconstruct a sampled network traffic data

My sampling rate is 1/1000 for netflow data. May I know what is the suggested algorithm/codes to reconstruct this data? Thanks,
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0answers
9 views

Huge difference in accuracy when using two datasets (instead of one) for text classification in Python [on hold]

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 ...
0
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0answers
10 views

complementary and substititive effects, what analysis to use?

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: "...
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0answers
12 views

Why use absolute value of the gradient for saliency maps?

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 ...
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0answers
7 views

Ratio of cases to controls in retrospective cohort study

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 ...
0
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0answers
15 views

Weighted kernel density

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 ...
0
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0answers
14 views

validate residuals plot [on hold]

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 ...
0
votes
0answers
12 views

How to tune an exponential smothing function pon implicit feedback collaborative filtering recommenders

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 ...
0
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0answers
9 views

cumulative effect of near significant differences?

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 ...
0
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0answers
9 views

Does the empirical transformation of the margins will give copula data

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 ...
0
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0answers
4 views

How to find the distribution in this page: phi_k?

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 ...
0
votes
1answer
18 views

Data level at which the Regression should be run

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 ...
1
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0answers
8 views

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

What is the difference between Generative Adversarial Networks (GAN) and Generative Antagonistic System (GAS) in the neural network?
1
vote
1answer
10 views

Does R's arima() fit / use multiplicative or additive seasonality?

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 ...
0
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0answers
10 views

Determine the effect of each variable and interaction in regression analysis

I am studying the effect of two variables x1 and x2 on response variable y. Interaction term ...
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0answers
6 views

R quantstrat backtest faq

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 ...
0
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0answers
26 views

What should be the Variance in X to get a statistically significant relationship with Y?

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 ...
-1
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0answers
20 views

What is the probability that in 2 of the next 4 years the rainfall will exceed 50 inches? [on hold]

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 ...
0
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0answers
9 views

jackknife estimator with central limit theorem

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}...
0
votes
1answer
16 views

how to calculate average tenure of a worker in any factory

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 ...
1
vote
0answers
8 views

How cost function for simple linear regression behaves under different settings with batch gradient descent?

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 ...
0
votes
0answers
14 views

Does this study provide sufficient evidence to conclude that females are more likely to fall below the respective third percentile of adult height?

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. ...
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0answers
15 views

Log-transformation of Compositional Data

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}...
1
vote
1answer
15 views

Do I need to adjust for confounding when the confounder is not causal?

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 $x_2$ ...
0
votes
0answers
4 views

GLMM with rare events causing issues with specificity?

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 ...
0
votes
2answers
32 views

How does this code find the CDF?

How does the below code give CDF? Can someone please explain what np.arange(len(sorted_data))/float(len(sorted_data)-1) does? ...
0
votes
0answers
18 views

Interpreting the coefficient of the interaction between 2 (binary) endogenous variables

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 ...
0
votes
1answer
12 views

What is radius_mean() in this histogram [on hold]

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 ...
0
votes
0answers
11 views

Interchange of differentiation and summation [migrated]

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!
0
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0answers
6 views

dataset for multi-document summarization [on hold]

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?
0
votes
0answers
11 views

What algorithm(s) should I use for a regression training and a classification prediction?

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 ...

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