# Questions tagged [parameter-estimation]

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### Mapping 4 Dimensional array to predicted output text

Iv been studying machine learning but im struggling with some concepts and cant seem to find particular answers to the question of how theoretical data is mapped into non classification categories. ...
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### Paramaeter estimation in noisy conditions with Machine Learning, possible?

Let's take two constants, $\alpha$ and $\beta$, both are given by two functions $f_1(\vec{\theta})$ and $f_2(\vec\theta$) (the model). These functions are known: we have an analytical closed ...
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### Gibbs sampling in R

I have the following model: $y_{it}=\alpha + x'_{it}\beta_{i} + \epsilon_{it}, \text{ } i=1,2,...,N, \text{ } t=1,2,...,T$ (1) $\beta_{i}= z'_{i}\gamma+\eta_{i}$ (2) with \$\epsilon_{it} \sim N(0,\...
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### Artificial Neural Networks and Efficient Parameter Optimization

I have a bunch of test measurements data and a semi-empirical model that has 18 parameters which I have to find so that the model fits my data well. So far I've managed to find and optimise the ...
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### How to Ascertain Sine Wave and Harmonics

I have some data that I've noticed conforms to a sine wave. Details of the data is unknown. My task is to approximate it as closely as possible. From some experimentation in Excel, I noticed the data ...
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### Which one first: algorithm benchmarking, feature selection, parameter tuning?

When trying to do e.g. a classification, my approach currently is to try out various algorithm first and benchmark them perform feature selection on the best algorithm from 1 above tune the ...