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Questions tagged [hierarchical-bayesian]

Hierarchical Bayesian models specify statistical priors on parameters and hyperpriors on the parameters of the prior distributions.

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For Prior definition in bayesian regression with R package MCMCglmm, how to convey different strength of believe via parameter nu?

I understand the strength of the Prior is set via parameter nu however, I can not find information what nu expresses in statistical terms, e.g. how strong would a prior that is similar to the number of variables x be in this example? #Inverse…
Tim M. Schendzielorz
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Calculating WAIC for models with multiple likelihood functions with pymc3

I try to predict the outcome of soccer games based on the number of goals scored and I use the following model: with pm.Model() as model: # global model parameters h = pm.Normal('h', mu = mu, tau = tau) sd_a = pm.Gamma('sd_a', .1, .1) …
milanDD
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Hierarchical model using JAGS for R shows wrong number of means

I have 2 columns of data, y and grp and I am trying to create a JAGS model which is shown above. grp is group and I have 5 groups. The following code is from here. I am using this code because the description there under the heading Model and Data…
Mohan Radhakrishnan
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Bayesian Hierarchical Clustering

Do you know if we can implement Bayesian Hierarchical clustering (python or R) on vectors with float values? I have searched through the web, and just found some random matrices with the values of 0,1,2. In the related paper nothing has mentioned. I…
Niloo
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Setting up a hierarchical model using R2jags

I'm working on a project for an introductory Bayesian analysis course and I'm also fairly new to using R regularly. We are supposed to build a hierarchical model using a data set we found or put together. I put a data set together to analyze the…
whgonzalez
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Hierachical Bayesian Linear Regression using PyMC3 is super slow

I am trying to write some code for implementing HBM in the case of logistic regression using the adults dataset from the UCI repository. I have already written the code, but sampling is super slow, on the order of 107s per sample, for even 64…
Cupitor
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Bayesian Logistic Regression Using Tensorflow Probability

I am having issues trying to run the Bayesian logistic regression example on tensorflow probability, as shown An introduction to probabilistic programming, now available in TensorFlow Probability. If I just run the code on the site I get the…
Abeer Ali
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Dirichlet parameters don't update in JAGS

I am trying to run a hierarchical Dirichlet model in JAGS but I have no update and must do something wrong. I try to approximate it with the gamma distribution: #Creating some…
user3192383
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Code for Basic Hierarchical Bayesian Analysis

I have this code written in winBUGS: n <- 100 x1 <- rbinom(n,1,.7) x2 <- rbinom(n,1,.5) sum(x1) sum(x2) model{ x1 ~ dbin(p1, n) x2 ~ dbin(p2, n) p1 ~ dbeta(a1, b1) p2 ~ dbeta(a2,b2) diff <- p1 - p2 p.value <- step(diff) } list(n = 100, x1 =…
Exisiting_Steak
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Hierarchical Linear Mixture Model

I have implemented a stan hierarchical model with level 1 within groups to be a linear model and level 2 within subjects Gaussian mixture model. It means the slope obtained from level 1 is used by level model GMM to cluster. When I run the model it…
ADITYA
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How to deal with panel data using the brms package in r

I have a panel data set (several observations of different individuals over time) for which I want to construct a simple bayesian multilevel model. Therefore, I want to use the brms package. Does anyone know how to deal with the panel data structure…
Activation
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Metropolis-specific TypeError: The broadcastable pattern of the input is incorrect for this op

I am trying to build a multilevel, multidimensional Bayesian model in PyMC3. For this question, I'll use a smaller toy model with the following graph structure: where G represents genes, K cell types, and C_k cells of cell type k. Overall the…
merv
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Bayesian Inference with PyMC3. Compilation error.

The following two codes do a simple bayesian inference in python using PyMC3. While the first code for exponential model compiles and run perfectly fine, the second one for a simple ode model, gives an error. I do not understand why one is working…
Arjun Devdas
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Comparing hierarchical bayes with OLS

I have made two models. A Hierarchical Bayes model and a Least squares/OLS model and I would like to compare the two. I know that for the OLS results I can simply print the summary: model = sm.OLS(d_df.ix[:, -1], d_df.ix[:, :-1]) result =…
Casper Ritmeester
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posterior prediction based on a grouping variable from `stan_glm()` in `rstanarm` package?

I was wondering how to obtain the posterior prediction based on a grouping variable from stan_glm() in rstanarm package? For example, if I have a binary (0, 1) coded grouping variable called "vs" in my data (base R data: mtcars), how can I obtain…
rnorouzian
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