0
votes
0answers
2 views

Statistical test for comparing two response options in the same survey item

Is there a way to determine whether the proportion of respondents that endorse one response option of a question is different than the proportion of respondents that endorse another response option of ...
0
votes
0answers
2 views

Adapting clustering to partial clutering

This is a question primarily about re-appropriating existing clustering methods to work when only a fraction of datapoints are likely to originate from a cluster (as opposed to a global background ...
1
vote
0answers
10 views

Practical exercise to solve SVM and logistic regression

I have a simple task regarding SVM and logistic regression, even though I know the theory behind SVM and logistic regression I still have a problem to solve them. Exercise. We want to learn a ...
0
votes
0answers
6 views

What are the differences between filters learned in autoencoder and convolutional neural network?

In CNN, we will learn filters to produce feature map in convolutional layer. In Autoencoder, each layer's single hidden unit can be considered as filter. What the difference between the filters ...
2
votes
1answer
49 views

Machine learning classifiers

I have been trying to find a good summary for the usage of popular classifiers, kind of like rules of thumb for when to use which classifier. For example, if there are lots of features, if there are ...
0
votes
0answers
10 views

How to perform a regression with orthogonal polynomials (such as laguerre) in R? [on hold]

Using R software, I'm trying to perform a polynomial regression on E(Y|X1, X2, X3). In fact, E(Y|X1, X2, X3)must ne equal to a linear combination of polynomial with orthogonal basis (such as Laguerre ...
0
votes
0answers
6 views

Sample size and power calculations for a randomized controlled trial

I need help with the power calculations to determine the sample size of a randomized clinical trial. This is a relatively simple trial with two arms: an intervention arm and a control arm. Patients in ...
0
votes
1answer
17 views

One-way repeated measures ANOVA vs. two-way ANOVA

In a balanced repeated measures one-way ANOVA, we compare the true averages of a response variable across time points. Are the results about the time effects equivalent to those from a classic two-way ...
2
votes
0answers
9 views

Within-group sum of squares of cluster

I have a multivariate dataset for which I have only a table including the cross-wise Euclidean distances between all points and a list giving the assignment of each point to one of several clusters. ...
1
vote
0answers
18 views

Self Study: ML Parameter Estimates — do I need numerical maximization?

I have a particular PDF with two parameters, specified as: $$\alpha \beta e^{-\beta x}(1 - e^{-\beta x})^{\alpha - 1}, \alpha > 0, \beta > 0, x_i > 0$$ Given a random iid sample $(x_1, ...
0
votes
0answers
4 views

Using Bxp function in R with varwidth [migrated]

I am quite new to R programming and have been given the task of representing some data in a boxplot. We were only provided the five figure summary of the data, i.e the lowest value, lower ...
0
votes
0answers
3 views

R HoltWinters - Odd dip in predictions

So, I have this time series that tracks the daily number of applications to a graduate program. Each application period is 64 days - so for each period, you start at zero and it goes up until the ...
0
votes
0answers
6 views

Will the classification accuracy vary if we first classify based on a single variable and then use the rest?

Let's suppose I am doing classification and that I have 99 features and another feature that says if the person is male or female. I have two options viz to build one classifier using all the ...
0
votes
0answers
20 views

Lattice/R: How to draw seperate legends for every plot? [on hold]

I am creating a plot of my data the following: library(lattice) levelplot(dist_0+dist_1+dist_2+dist_3~alpha*beta,data=r ) The resulting plot looks like: The ...
0
votes
0answers
3 views

Coda for visualizing Stan trajectories [migrated]

I'm using Stan (specifically, rstan) with a Bayesian univariate linear regression $y = \beta_0 + \beta_1 x + \varepsilon$. And I'm trying to use the Coda package to visualize the resulting ...
1
vote
0answers
16 views

Recommendation for linear regression with least squares book

I watched several videos on linear regression, mainly from Khan Academy. As I have no background in statistics, I thought this was a good way to get an idea of the topic. However I'm currently writing ...
0
votes
1answer
15 views

Interpreting ACF and PACF Plot

My raw data consists of a 60-day time series with a downward trend. The data is weekly so the frequency is set to 7. I calculated the difference of the data which looks like this When I run ACF ...
1
vote
0answers
6 views

data dependent quantiles

Could you please explain, what does mean "data dependent quantiles" as mentioned in the following paragraphe: Quantiles appear intuitively appealing to epidemiologists as they can be thought of ...
1
vote
0answers
5 views

Confidence interpretation from false negative rate

For my research I'm using a tool called seeSUMO, which predicts sumoylation sites in a protein based on sequence features. When it reports your results, it gives you a level of confidence for each ...
0
votes
0answers
17 views

Is the sum of all elements of the residual matrix equal zero under OLS?

I have the following OLS model $$ y_i= α+βx_i+ε_i , i = 1,...,N $$ I want to prove that $$ \sum_{k=1}^N\sum_{j=1}^N e_je_k =0$$ I did the following $$ \sum_{k=1}^N (e_1+e_2+e_3+...+e_n) e_k ...
0
votes
0answers
5 views

Clustering time series with missing values

Here's the thing. I have some time-series that I would like to cluster, but they can have missing values. One approach that may be ad hoc is to use an algorithm like K-medoids, and to use similarity ...
2
votes
0answers
12 views

Hand-picked items in the training set, good idea?

The training, validation and test sets for the classification problem I'm working on were randomly sampled from real data. Because of this, I am fairly confident that there are representative. I want ...
1
vote
2answers
11 views

Cohen's d in non-significant results

I did several independend t-tests. Some of them are significant, some of them are not. Next, I computed Cohens $d$ for effect size. For significant results, Cohens $d$ feels intuitively reasonable ...
0
votes
0answers
11 views

choosing between non-linear/logistic regression models

We are fitting regression models to dose-reponse data obtained from drug assays. Where a drug has an effect on cell viability, there is often a sigmoidal relationship between the proportion of viable ...
1
vote
0answers
10 views

Data splitting in regression [duplicate]

I'm seeking clarification on the meaning and correctness of the following passage I found in: Kutner, Neter, Nachtsheim, Li. Applied Linear Statistical Models (5th Edition - International Edition). ...
1
vote
1answer
30 views

Null Hypothesis with a Strict Inequality

On page 300 in Roussas' textbook "An Introduction to Probability and Statistical Inference" he states the null hypothesis for a test as $H_0: \theta>0.0625$ and the alternate hypothesis as $H_A: ...
2
votes
1answer
18 views

Simulated chi-square distribution doesn't match theoretical

Can someone explain why the distribution of Chi-square values I'm getting (using Pearson goodness-of-fit test) doesn't match the expected Chi-sqaure distribution? The test seems in this case to be ...
-1
votes
0answers
7 views

Implementation of Loopy Bayesian Networks in R or python? [on hold]

Is someone aware of some coded examples of Loopy Bayesian Networks (preferably in R, python or Matlab)?
0
votes
0answers
6 views

What makes a good test set in an unbalanced corpus?

So, I have a machine learning classification problem, where the classes are quite unbalanced in the initial annotated dataset. My idea is to use Bootstrap method to help the classifier get new ...
0
votes
0answers
4 views

What is an intuitive explanation of Echo State Networks?

A reference can be found here: http://www.scholarpedia.org/article/Echo_state_network I am new to Recurrent Neural Networks(RNN) and still learning the concepts. I understand at an abstract level ...
0
votes
0answers
6 views

Correlation between balance of binary division and modularity in a social network

I'm working with social network data where the full network can be divided up into a ~30 subgroups of nodes based on existing organizational divisions. I'm interested in how integrated each of these ...
0
votes
0answers
12 views

Fitting a model while adjusting for some variable

I plan to figure out the effect of variable X on variable Y. I have time series data for both X and Y and a simple regression model should do the job. Unfortunately the variable Y is also affected by ...
1
vote
0answers
13 views

Searching for signal in a somewhat noisy landscape

I'm trying to implement a system to identify regions of high signal content in the presence of a noisy landscape. By high signal content, I simply mean intensity values significantly above background ...
0
votes
0answers
9 views

Multicollinearity as interaction terms added: Separate or common analysis?

Using OLS, the starting aim of my analysis is to study how different types of credit card contracts affect the dependent variable (y: use of credit cards). I have generated three dummies (v1, v2, v3) ...
0
votes
0answers
6 views

What is the sampling distribution of alpha parameter of Lomax distribution?

I have found MLE estimate for . Now I need to find sampling distribution of , does anybody know?
0
votes
0answers
4 views

Output's probabilities of ANFIS in MATLAB

Is anyway to have output probabilities of binary classification using MATLAB ANFIS toolbox (or other related toolboxes)? Outputs are 1 and 0. So if we have 0.7 for ...
0
votes
0answers
5 views

Is dunn.test a suitable alternative to kruskalmc in pgirmess package?

I'm trying to run the krushkalmc method after running kruskal.test as part of my analysis with the Kruskal-Wallis rank sum test. I have data with a small sample size that also does not have a normal ...
-1
votes
0answers
17 views

Is the model consider as panel data equation [on hold]

i have 4 model as below and dependent variable i use t for model 1,3,4: Model 1- CR t = PROFITit + ASSET it + GDP t Model 2- PROFIT it = CR t +ASSET it + GDP t Model 3- CR t = PROFITit + ASSET it + ...
0
votes
0answers
23 views

Distribution of estimator

Some help would be appreciated on this one. There is something I can't get around my head. Let's suppose we havfe $ln x$ that is following a Normal distribution of parameter $lnx\rightarrow ...
0
votes
0answers
8 views

analysis after Gregory-Hansen cointegration test

I have two time series which fail E-G cointegration test over the whole sample, but G-H cointegration test indicates the presence of cointegration when regime shift is allowed. Can I set up a dummy ...
0
votes
0answers
8 views

Estimate total number of errors from a sample of independent error probabilities

I have a dataset in which I have linked clients by their name and date of birth. I want to estimate the number of errors this will create, i.e. the number of times I will incorrectly assign as 1 ...
0
votes
0answers
15 views

clustering discrete data - how to get “autocorrelative distance” matrix?

I'm trying to cluster discrete (histogram) data with unequal bins. I came across the post: Clustering distributions and calculated the cumulative sums of each data set and interpolated between ...
0
votes
1answer
16 views

How to draw a representative sample from a biased portion of a sampling frame?

I have a question concerning sampling. We are planning a study in which we aim to draw conclusions about the relationship between different sources of research funding and academic impact (measured ...
0
votes
0answers
3 views

contrasts between two grouped levels and the other six levels in a mixed 3x3 ANOVA in SPSS

I have a mixed ANOVA with 3 between subjects groups (control, m, s) , and 3 within subjects factors of stimulus type (3 levels), orientation (4), eccentricity (8 levels). i would like to investigate ...
0
votes
0answers
4 views

Contribution of a sample to cross validation error

I was wondering how to asses which sample in the data, during K fold cross-validation drives the bias that may be observed in the results. My training data consists of 40 samples. And I try to ...
0
votes
0answers
14 views

map pca eigenvalues to original matrix' columns

I am unsure if this questions is valid mathematically speaking, but I am wondering if it is possible to map the eigenvalues that prcomp returns with the original columns... meaning... if my matrix if ...
0
votes
0answers
9 views

How to compensate for a small dataset in analysing social media performance?

I work on an online news site, and we're doing some analysis on our articles' potential for success on social media. We hope to get a better idea which of our articles will go viral. As well as data ...
1
vote
0answers
15 views

How do you assess data validity when sample size varies over time

Imagine that you have a customer feedback system where after a process people can press one of 4 buttons: (very happy, happy, sad, very sad) and an aggregation system reports how many people per hour ...
0
votes
0answers
14 views

Vector Autoregression

I have a general question on VAR-methodology. In the case of asymmetric modelling I employ FGLS to exploit off diagonal covariance between residuals due to non-unique regressors between equations. Ok, ...
2
votes
1answer
20 views

R: how to do statistical inference on multiple dependent and independent variables?

In the past I've run separate multiple regression models for many correlated independent variables and one dependent variable. For this I've been using the R package multtest ...

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