0
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0answers
3 views

What is the difference between Harris Corner Detection and SUSAN Corner Detection? [on hold]

What is the difference between Harris Corner Detection and SUSAN Corner Detection
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0answers
3 views

Conditionally remove rows that match in column A, based on column B in R using data.table [migrated]

Trying to fix a de-duplication problem using data.table in R. Column A is a list of names, some of which appear multiple times. Column B is a list of dates. There are a bunch of other columns that I ...
0
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0answers
8 views

Is a normal process mean reverting

A normal process has a lot of outcomes around the mean and then fewer and fewer outcomes away from the mean. From this, can we conclude that a normal process reverts to the mean whenever it gets a ...
0
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0answers
4 views

EM convergence when using em.hmm from PLIS

I use em.hmm function from PLIS package. I tried it on dimensions in range from 2 to 6. In every case of provided data (z-values) EM algorithm does not converge for dimensions 2, 5, 6. So, I wonder ...
0
votes
1answer
8 views

difference between confidence interval and prediction interval in the context of regression analysis and predictive modeling

When building prediction models, I always see the following concept 1) Confidence interval for regression model 2) Prediction interval 3) Confidence interval for predicted value I can understand ...
2
votes
0answers
10 views

Post-hoc after GLM: What does it exactly say?

Background: I have been asked to model the change of weight of a few animals undergoing experimentation via a simple GLM (General Linear Model). The data looks something like this. Note that all data ...
1
vote
0answers
9 views

balls-and-urns in PyMC

In trying to wrap my head around Bayesian statistics and PyMC I've been trying to program up a balls-and-urns example. Sadly, I'm failing miserably. Assume that I'm drawing balls from an urn and know ...
0
votes
0answers
14 views

Need clarification on a passage. (Autism Prevalence)

Passage verbatim: According to a review by Silverman et al. (2010), the incidence of autistic disorder is 0.6–1.0 percent in the population. The disorder is four times more common in males ...
0
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0answers
5 views

find optimal parameters for SVM from tune() in R= [migrated]

I am optimizing the gamma and cost variable using the tune function ...
0
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0answers
6 views

Square root of number of counts, or standard deviation of the mean?

I'm doing an experiment in radioactivity, where I measure the number of counts in a given time interval. I repeat 3 times and take the mean number of counts. What is a better error value to use, ...
0
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0answers
7 views

Perhaps easy about SPSS Chi Square and Bonferroni

Oh hello. I just have entered here. Best place for my question. Sorry for that question in other site's part. :) So perhaps it's easy question, but I encounter this problem first time. I go ...
0
votes
1answer
4 views

GLM - X.intercept equal to NA [duplicate]

What does it mean X.Intercept equal to NA as a result of glm summary ? Thanks. Coefficients: (1 not defined because of singularities) ...
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0answers
8 views

Kernel matrix is a covariance function

How to prove that the kernel matrix is actually a covariance matrix?
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votes
0answers
21 views

Best linear unbiased estimator

I have a sample of N stocks. I have the following information: For each stock i, I have an estimate of variance (of returns) $\hat{\sigma}^2_{i}$. I also have a fitted variance, denoted by ...
0
votes
1answer
15 views

How to bootstrap panel data?

I'm fitting some machine learning algorithms (e.g. SVM) on my panel data. It's taking too long for my entire dataset, so I'm considering generating smaller samples from bootstrapping then fit the SVM ...
0
votes
0answers
5 views

assign asymmetric cost in SVM classification in R?

I know that we can set a symmetric cost in R for svm,how do we set an asymmetric cost? I want to do a grid optimization like the following: ...
0
votes
1answer
32 views

Quick Exploratory Analysis of Categorical Data

Does anyone know of a tool (preferably free) that does quick analysis of exploratory data mainly categorical with date. Using R and Python I can create time series and histograms, perform tests such ...
0
votes
0answers
7 views

In soft-margin SVM, is it guaranteed that some points will lie on the margin?

In soft-margin SVM, once we solve the dual-form optimization problem (using quadratic programming, which is guaranteed to converge on a global optimum because the problem is convex), we get a vector ...
0
votes
0answers
4 views

Question on Stationary & Cointegration Test (Augmented Dickey Fuller & Engle Granger test)

I'm performing the stationary and cointegration test on stock prices. What I'm confused is 1) the difference between ADF stationary test and ADF cointegration test. 2) Also, in ADF stationary test, ...
2
votes
1answer
48 views

“Dummy variable” versus “indicator variable” for nominal/categorical data

"Dummy variable" and "indicator variable" are labels frequently used terms to describe membership in a category with 0/1 coding; usually 0: Not a member of category, 1: Member of category. On ...
1
vote
2answers
19 views

Is there any other measure of the performance of a classifier than the area under the ROC curve?

I am trying to draw an ROC curve for a classifier and wondered to know if there is any other measure for the performance of the classifier than the AUC. And is there any free software that I can use ...
1
vote
0answers
9 views

DNA sequence classification

I have a database of 3190 instances of DNA consisting of 60 sequential DNA nucleotide positions classified according to 3 types: EI, IE, Other. I want to formulate a supervised classifier. At the ...
4
votes
0answers
16 views

What is the “pdm” stat in the “rms” R package?

I am new to the world of Regression in statistics and I have been doing a research in which I am building an ordinal logistic regression model (ORM). In order to fit my ORM model, I am using the 'orm' ...
1
vote
0answers
10 views

Neural Network Predicting Live Market Data (fun project for BTC prediction)

Made it just for fun - not for profit, wrote a neural network application that is predicting output from live data from exchange markets dealing with Bitcoin. Now just to clarify, i am not asking if ...
2
votes
1answer
21 views

Acceptable values for the intraclass correlation coefficient (empty model)

I'm using xtmixed in Stata to test a Hierarchical Linear Model. My problem is that variance at level 2 is about 4% of the total variance. So most of the variance is ...
2
votes
0answers
27 views

Probability of event happening after the last event

My question seems to be very trivial, but I'm still stuck with it. It's about probability calculations. Suppose you have a number of people that take a glass of water (event), time between 2 events is ...
0
votes
0answers
11 views

How to reconstruct the data? [duplicate]

I have compressed the data( seven sensors are measuring 125 days temperature) using Principal Component Analysis . Then How to reconstruct the data ? What formula should i use?
0
votes
0answers
7 views

Model Selection with Competing risks in Cox regression

When doing cox proportional hazards regression one often has competing risks. The typical approach for this is to fit separate cox proportional hazards models for each risk, censoring the competing ...
0
votes
1answer
9 views

Benjamini-Hochberg and GEO2R

I'm currently using GEO2R to analyze a microarray data set. There is an option to generate the 250 most statistically significant genes, which calculates an adjusted p-value using the ...
1
vote
0answers
10 views

Density of Argmax of a Gaussian Process

So I am trying to determine a density function for the argmax of a continuous Gaussian process. The only information I have available is one realization of the process and the process variance. The ...
1
vote
0answers
2 views

Negative Binomial Anscombe Residuals

I need a help :) I'm working on a Generalised Linear Regression model, using the 'so called' NB2 model, in other words I'm using the Negative Binomial regression for count data. I would like to graph ...
0
votes
1answer
29 views

R adds unexpected variable to interaction model

Not sure if this is more of a programming question (in which case please move to stack overflow) or a statistical model question (in which case, please read on!) I'm exploring a data set and doing ...
1
vote
1answer
14 views

How to predict the time series data

I have no background of advanced stats. I am an engineer and I have the following data. I am representing it as a decent graph for better understanding. I want to forecast the collision for the next ...
1
vote
0answers
18 views

Time Series Decomposition - autocorrelation of error term

I would like to do time series decomposition, but the error term has a serial autocorrelation at the end and I am freaking out because I have really no idea what to do with that. How I did it? I ...
0
votes
0answers
5 views

Simple Code for RNN prediction using theano

I would like to use theano to implement RNN network to predict outputs given inputs. for example. given training input x = [1,2,3,4,5] given training output y = (x-1).^2 + 0.5 for the testing ...
0
votes
0answers
4 views

Finding an area of low variance for (robust) linear regression

In order to determine a function for a Good-Turing approximation of the number $N_r$ of distinct words that occur $r$ times in a hypothetical language corpus, I'd like to run a (log-)linear regression ...
2
votes
1answer
25 views

What is a “log-F” distribution?

Recently I have encountered the Wiener-Granger causality test. The statistic which is used is the logarithm of the ratio of two residual variances. It is well known that the ratio of two such ...
0
votes
0answers
9 views

R: “weights” option will help calibrating class inequality?

I have a database with a binary response variable and 100 predictors (correlated and uncorrelated). I want to try the machine learning techniques in R I've been reading about in the last 3 weeks ...
0
votes
0answers
9 views

Comparing influence of single independent variable on two dependent variables (time series)

Scenario description: Temperature has been measured at $k+2$ different depths in a borehole. Measurements of the temperature were taken once each hour over a period of about 3 months. So observed data ...
0
votes
1answer
13 views

Marginalising over standard deviation of normal to get the posterior on mean

I am trying to understand the concepts of Bayesian data analysis by examples. I have managed to "do" something, and I would like some advise on where I have gone wrong. My data is that I have 50 ...
1
vote
1answer
27 views

Correlation under transformation

Suppose i have a random vector $X=(X_1,X_2,...,X_k)^T$ where each $X_i$ has cdf denoted by $F_i$ . The correlation matrix of this multivariate distribution is $R_k$. Define ...
0
votes
0answers
24 views

Expectation Maximisation Algorithm: Understand through numeric example

I am trying to learn machine learning concepts through online materials. I just studied tutorial on Expectation Maximisation algorithm. I thought one numerical example can make better understanding. ...
0
votes
0answers
13 views

Trend analysis on time intervales

I am trying to do trend analysis on tweets. I am still confused. The classical model is based on computing the frequency of items, to say that the item with big number of frequency is the trending ...
0
votes
0answers
21 views

poisson as an approximation to exponentially [on hold]

A motor vehicle arrive at a petrol pump having one petrol unit, in a poisson fashion and at an average rate of 10 units per hour. The service is distributed exponentially with a mean of 3 minutes. ...
2
votes
1answer
43 views
0
votes
0answers
10 views

Correlation or similarity between response surfaces

Given the dataset A and B both containing observations (x, y) whereas x can be a vector. What are some possibilities of measuring the similarity or correlation between A and B? We can assume that ...
0
votes
0answers
13 views

Deriving the maximum likelihood for a generative classification model for K classes

In Christopher Bishop's book "Pattern Recognition and Machine learning", there is the following question: Consider a generative classification model for $K$ classes defined by the prior class ...
1
vote
0answers
17 views

Visualize comparison of two variables with small deviation in Tableau

What is the best way to visualize following variables: distributed around some high value with small deviation? Problem details: All the deviation is concentrated at the top of the chart, which is ...
0
votes
2answers
31 views

Draw a histogram with normal distribution overlay

I was asked to draw a histogram with normal distribution overlay over our data and I'm quite a noob in statistics and require help in this. Our data is an array of floating point values, and the ...
0
votes
0answers
12 views

how to interpret likert scale for clinical research feld

I am doing my research on Bronchial Asthma in an hospital. And i am using questionnaires to know the quality of life of patients i.e.,Ashtma quality of life questuinnaire (AQLQ) with 7 point likert ...

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