I am making a corner plot using Seaborn. I would like to display lines on each diagonal histogram showing the median value and quantiles. Example show ...
I am making a corner plot using Seaborn. I would like to display lines on each diagonal histogram showing the median value and quantiles. Example show ...
I'm using the BayesianTools package to run some MCMCs on data, but my specific project requires me to take some outputs of one MCMC and convert it int ...
I have a density distribution function from data, which means that I cannot express its analytical form. If I want to generate 1000 samples by this di ...
I'm currently working on constructing a zero-inflated negative binomial model in JAGS to model yearly change in abundance using count data and am curr ...
I am having trouble when I want to set initial values for parameters in a Stan program for MCMC using cmdstanr. The relevant guidance in the documenta ...
I have installed the 'MCMCpack' package on my R using the code install.packages("MCMCpack") successfully. But when I enter library(MCMCpack), it re ...
I am trying to sample the parameter "beta" for a transmission dynamic model for COVID-19 (solved using ode in R), using the Metropolis Hastings Algori ...
I need help with generating random numbers. p - The probability that a pcr test of a sick person, will show us a positive result. q - The probability ...
This is an extension of my previous post here Estimating parameters using stan when the distribution for response variable in a regression is non-norm ...
I am using R+stan for Bayesian estimates of model parameters when the distribution for response variable in a regression is not normal but rather some ...
I have a weighted Bayesian Logistic Regression model with data as such: I can get samples from the full posterior, i.e. with weights uniformly 1 ...
I have a data frame of draws from a Bayesian posterior distribution for three different variables, and I would like to plot them as mcmc_areas. When ...
I want to estimate parameters of negative binomial distribution using MCMC Metropolis-Hastings algorithm. In other words, I have sample: and I want ...
Please bear with me as I try to explain what I'm trying to do. I'm trying fit an arctangent model to some data. I have two independent measurements i ...
I've been running an MCMC analysis that has been going for almost 10 days now, trying to see how far along in the iterations it is! ...
Suppose the random variable X ∼ N(μ,σ2) distribution and I am given the observations x =(0.7669, 1.6709, 0.8944, 1.0321, 0.0793, 0.1033, 1.2709, 0.77 ...
I have several parameters and do not wish to manually specify initial values for n=3 chains. I am wondering whether RJAGS will give different initial ...
In the Bayesian programing language JAGS, I am looking for a way to fix a parameter to a specific distribution, as opposed to a constant. The paragrap ...
I'm trying to infer 2 parameters (beta and gamma) given a deterministic equation and simulated noisy data. For some reason, the equation I'm using see ...
I am running a multivariate model (4 response variables) with two random effects using MCMCglmm(). I am currently using a inverse Wishart prior. Ba ...