Bootstrap is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains CSS- and (optionally) JavaScript-based design templates for typography, forms, buttons, navigation, and other interface components.
As of April 2021, Bootstrap is the tenth most starred project on GitHub, with more than 150,000 stars, behind freeCodeCamp (almost 312,000 stars), Vue.js framework, React library, TensorFlow and others.
I'm struggling with frontend. Although my basics of html,css are clear, I'm having trouble in building websites and I'm just putting baby steps towards it(made my first simple html css site today). Thus a guidance from a mentor would be really helpful to me in learning. If I don't find any...
Physicist Geoffrey Chew proposed the concept of bootstrap (related to S-matrix theory) where he denied that fundamental laws of nature existed at all, as it is indicated in a writing in his memory written by one of his collaborators ([https://www.fritjofcapra.net/in-memoriam-geoffrey-chew/])...
I am analyzing a lot of data from Montecarlo simulations and trying to use bootstrap to estimate the standard deviation. what I'm finding however is very, very little variation with each iteration of bootstrap, and I don't know why.
Two reasons come to mind. Given the complexity of the analysis...
I read about bootstrap percolation and I would like to find links and similarities between bootstrap percolation and percolation (the initial model).
I wonder if there is any result in percolation that is still valid in the bootstrap model.
I am trying to make a bootstrap navigation bar but I'm having issues with understanding which class to apply to a specific element?
Can anyone show me some coding?
The night is dark and full of SPOILERS......
Okay, so in the last Game of Thrones episode, a massive twist involving what appears to me to be a bootstrap paradox occurred. I was wondering what anyone who saw thought about it and for those who did or didn't whether or not it makes sense. The only...
I've been figuring out the use of the nonparametric bootstrap and if I understand correctly, this is the procedure:
1. Take an original sample, a vector x = (x1, ..., xn)
2. Generate k vectors, each called a 'bootstrap sample', of the same length as x by random sampling (with replacement)...
Hello, I am trying to predict the residual standard error using bootstrap since they error terms are not independent. So far, I have found a linear model:
m1<-lm(y~x+I(x^2))
but I'm not sure how to use the boot strap to find the residuals.
I am having trouble finding any information online...
Hello guys,
I'm trying to understand the proof of convergence for online bagging/bootstrap, in the Oza's paper an expression says:
θ ~ \sum^{N}_{t=0}P(Poisson(N)=t)Multinomial(t,1/N)
θ may represents a vector with each element being a real value;
Poisson() is the Poisson distribution...
http://img138.imageshack.us/img138/6060/98259799.jpg
I have done part one and found that the bias is \frac{\theta}{n}
then i don't know how to proceed.
in my notes, have the following result,
http://img189.imageshack.us/img189/9699/resultc.jpg
i am thinking, this time i have to...
Hi all,
Got a question regarding the usefulness of the bootstrap in generating scenarios. Say we have a random walk with drift process:
x = 0.005 + 0.01dZ
where dZ is a N(0,1) process. Now, assume we generate 1000 observations from this process, but by slim chance, the data sample...