Questions tagged [computing]

For on-topic questions involving statistical computing. Please include also some statistical methods tag.

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How to compute the weight matrix for WLS estimation of a multi-group ordinal CFA model

I am attempting to perform a two-group confirmatory factor analysis (CFA) of one continuous factor on six ordinal predictors in OpenMx (...
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28 views

Running SMOTE on very large class imbalanced datasets - batched or subsampled implementations

There is a theoretical and computational aspect to this question. I was trying to use SMOTE to reduce class imbalance in a rather large dataset--about 8 million rows. The data has a binary outcome ...
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1answer
42 views

Is it methodologically correct to, in some specific situations, merge related binary variables into one continuous?

I have 10 yes/no binary variables regarding different types of economic risks associated with running a startup. I have a database of around 100 different startup companies evaluated on each of those ...
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28 views

What role(s) does Statistical Computing / Computational Statistics play in Clinical Trials?

I am going to pursue a PhD in Statistics, and the two fields that I am really interested are Statistical Computing / Computational Statistics and Clinical Trials (mainly because I like doing ...
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177 views

In a neural network, how are weights adjusted between the third to last and second to last layer of neurons?

I haven't been able to find much information that explains back propagation in simple terms. I would like to know what is happening (what is the algorithm) to be able to code one in java. I know that ...
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218 views

Why is a fully marginalized likelihood so much more difficult to computer than a partially marginalized posterior?

I have a question in terms of Bayesian computation. Let's contrast parameter estimation and model selection. When performing a Bayesian hypothesis test, this involves computing fully marginalized ...
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23 views

Expected value of 3-repeated keys for a cuckoo hash table

I'm trying to solve a problem for my data structures class and am having problem computing the expectation for this scenario. I have wrote the question to be as independed from CS as possible I have ...
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21 views

Summarizing results obtained in different scenarios by different methods

I have generated different scenarios which depends on certain parameters $x_1, \dots, x_k$. I have evaluated each scenario with different methods. Summarizing, I have a value $S(m,x_1, \dots, x_k)$ ...
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290 views

Computing the expected value using the sample mean gives poor convergence?

This is for Project Euler problem #371: http://projecteuler.net/problem=371 My solution was to generate a huge random pool of numbers between 0 and 999 inclusive, repeatedly ask the question 'How ...
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12 views

video normalization using skvideo

I'm building a model that would take as input a video of 25 frames and would (ideally) output the next 25 frames. My question is when we use images we usually normalize by dividing the X by 255. ...
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119 views

Transfer learning when Dropout in source model

Anyone can you pls help me to understand that. If we have dropout layers in between the convolutional layers of source model. When we do transfer learning from source to target model, the convotional ...
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1answer
50 views

Computing new variable of nominal and scale z scores variables

I'm analyzing a set of data where participants' reaction time and number of errors made during the task were measured. As there were two trials (where same data was measured) I was thinking I could ...