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Questions tagged [monte-carlo]

1 vote
0 answers
47 views

I was given a project where only using Net Media Value and possibily audience considered , I have to try to estimate sales and unit return of media investment. I was asked to try to apply a Monte ...
Ana Branco's user avatar
0 votes
0 answers
86 views

I am looking for a programming language to accelerate performance of my Markov Chain Monte Carlo code. The code is written in Python and does not use any special MCMC libraries (like PyMC or Stan) - ...
Roger V.'s user avatar
  • 117
2 votes
0 answers
66 views

I have a simple transformer model (decoder only) which is trained on some dataset containing sentences to do next-word prediction. The model captures a probability distribution $P_{\theta}(\mathbf{a})$...
JazzJammer's user avatar
0 votes
0 answers
51 views

I am in situation where i need to estimate the attenuation of an EM wave . we consider EM wave as collection of photons. These photons when strike with some dust particles they scatter in different ...
user7341333's user avatar
0 votes
1 answer
132 views

I once saw the Hamiltonian Monte Carlo method for use in machine learning. But It seems to me that it is not actually a random sampling; It follows the dynamical equation of motion. Is it generally a ...
K.R.Park's user avatar
  • 103
1 vote
1 answer
170 views

I’m a developer reading the book Bayesian statistics the fun way In chapter 15 they use hypothesis testing using Monte Carlo simulation to pick random values from two intercepting beta distributions I ...
SamTheGoodOne's user avatar
1 vote
0 answers
38 views

Suppose I have a function $f\colon [0,1] \to \mathbb{R}$ which is maybe continuous (it's at least in $L^1$). I have a sample of $N$ points $\{x_i\}$ taken from the domain $[0,1]$ randomly from some ...
math_guy's user avatar
  • 111
1 vote
1 answer
166 views

I am doing Approximate Bayesian Computation with Sequential Monte Carlo with PyMC in a way that is similar to what is described in this example of the ...
lm1909's user avatar
  • 11
0 votes
1 answer
93 views

The source data files and scripts referenced here and from whom lines of code are included here can be found in my GitHub Repository for this collaborative research project exploring the properties of ...
Marlen's user avatar
  • 167
0 votes
1 answer
40 views

I am currently doing research with a coauthor and collaborator comparing a new optimal model selection procedure he has proposed via Monte Carlo Simulation of the new procedure vs 2 benchmarks, LASSO &...
Marlen's user avatar
  • 167
2 votes
2 answers
548 views

Im studying M.Sc Data Science and in the module "Decision Support Systems" me and my group have to make a presentation. Our Proposal is the following: Background With generally high demand ...
wayne's user avatar
  • 21
1 vote
0 answers
18 views

Considering Bayesian posterior inference, which distribution does Monte Carlo sampling take samples from: posterior or prior? Posterior is intractable because the denominator (evidence) is an ...
Curious's user avatar
  • 161
1 vote
0 answers
52 views

I was trying to figure out what is a Monte Carlo Markov Chain. From what I understand it is a way of computing an approximation of a probability distribution, which cannot compute exactly. So we ...
Turned Capacitor's user avatar
1 vote
0 answers
70 views

Below code runs without any problem, however when I run the same code using Monte Carlo Analysis for 1000 runs, it gives IndexError. Can someone explain why this happens. Thanks ...
Mathew's user avatar
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1 vote
0 answers
26 views

I am trying to understand an MCMC program. I manage to run it, but I am trying to understand the meaning of the some parameters in the analysis. The code is something like this ...
camarman's user avatar
  • 123

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