Functional Data Analysis defines a framework where the fundamental units of analysis are functions.

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Alternatives to absolute error?

Let me explain my scenario in which I need to calculate absolute error. Lets say the X is the actual value. And X' is the value of X with some error 'e'. So X' = X + e'. Lets say i = 1 to 10000. I ...
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Predicting curve registration parameters in functional data analysis with noisy data

I have some data I'm studying where functional data analysis seems like a promising approach. But having never tackled FDA before, I'm having trouble wrapping my head around it. For background, I ...
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What statistics to use when the data are polynomial functions (aka change over time)?

EDIT: OK, having spent the last couple of hours checking out some pubs on functional data analysis, I am actually starting to feel a little silly having asked the question in the first place! It's ...
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How to show whether a hypothesis is true or not

I have the following hypothesis: "The higher the number of translation-stable words between a pair of countries, the higher the correlation between the happiness scores of their words". note: ...
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Find out whether the answer to a question depends on a group

I've distributed a questionnaire to four different groups of people. An example of a question in the questionnaire is: Do you want to be informed about financial topics through social media? Yes/no. ...
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Longitudinal data using functional principal components mixed effect models

I have collected speech perception performance in children during one-year followed-up (four time points). A battery of speech perception measures (i.e., five measures) were used at each test ...
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Question about plot coefficient for B-spline method

This is a practice question from chapter 4 of "Functional Data Analysis with R and MATLAB". There are some preliminary steps to achieve it. Basically, the problem assigns me to generate a random ...
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Problems about B-spline estimation method

When I took non-parametric regression course, I was required to fit the regression of log-pollen over the course of study (day) with the kernel density estimation method. Since my instructor also ...
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Beta linear model

I wanted to learn more about the Beta linear model for data analysis. I was wondering if there were any good books out there to help code this model in R and to learn more about the Beta linear model. ...
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Study brain functional connectivity after ICA

I am new to neuralimaging, one thing that confuses me is the justification of computing correlation of those independent component network (ICN) from ICA. All papers I have read treat each independent ...
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Most efficient vector construction for Dynamic Time Warping

I'm in the process of folding FastDTW into my SVM and the question now is how to best format my data (irrespective of normalization). Here's an example of what I'm attempting to do - given two 3d ...
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Rubric for good data analysis

As statistics education moves online, educators are facing new problems related to the administration of their courses. Jeff Leek and Roger Peng, for example, taught approximately 100,000 students ...