# Questions tagged [hierarchical-bayesian]

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

448 questions
Filter by
Sorted by
Tagged with
13 views

### Bayesian hypothesis testing with multiple beta-binomials

I want to test questions relating to whether individual ants of a certain species have personal food preferences, using a Bayesian model built up of multiple beta-binomial distributions. My problems ...
66 views

### Excellent fit, zero convergence hierarchical dirichlet model in JAGS

I am fitting a hierarchical dirichlet model to some data in JAGS. My samples (referred to as cores in the code) are observations of the relative abundance of 3 ...
56 views

### using rstanarm for quantile regression

I understand that rstanarm can be used for GLMs, GAMs and hierarchical models. Does anyone know, if I can use it to estimate quantile regression models? If not, are there other Baysian R package, ...
157 views

48 views

### How to use Selective Bayesian Forest Classifier (SBFC) in R?

I came across with this r package 'sbfc'. It appears very interesting as they talk about Bayesian Forest and it competes with random forest performance. If someone can walk me through this package ...
48 views

169 views

### Multiple linear regression as a Hierarchical model in Bayesian framework, cant solve

In lecture notes on introductory graduate course on Bayesian statistics, there is a short discussion of how Multiple linear regression may be treated in the paradigm of "borrowing strength" aka "...
156 views

47 views

### Is it possible to find the distribution parameters of a normal hierarchical model given specific values for the hyperparameters?

I would like to find out if it is possible to calculate the distribution parameters, i.e., determine $\mu$, $\sigma$, for a random variable $y$, given that: \begin{align} y &\backsim Normal(\mu,...
465 views

### How would you explain Hierarchical Bayesian modeling?

To the widest audience ? The people I have to present some of my models are not statisticians and I don't have a simple way to put it or simple self-explanatory graphs.
35 views

### Hierarchical process of exponentials

I'd like to work with a what I believe is a called a "hierarchical process" -- given by the multiplication of a pair of exponential distributions such that the random variable from one process is the ...
210 views

### can you analytically solve this bayesian hierarchical model - bernoulli trials

Is it possible to analytically solve (i.e., use a conjugate prior) the hierarchical model shown in the image below to obtain the posterior distribution. The data are composed of bernouli trials ...
34 views

### Representing confidence ratings on choices as a variable or as part of the choice alternative in Mixed Logit Simulation

I am estimating a mixed logit model with hierarchical Bayes procedures to deal with my categorical data. I am wondering if I'm representing the data correctly. The data comes from experiments where ...
65 views

### Numerical sampling in hierarchical Bayesian models (HBM) [duplicate]

I am reading chapter 5 of $\textit{Bayesian Data Analysis}$ by Gelman $\textit{et al.}$. There it explains the few steps of data analysis for hierarchical models and if I quote from the book it will ...
721 views

### Regression estimate of a non-negative variable

I have to estimate linear weight $\beta$ for regression $Y \sim \mathbf{X}$, where $Y$ are non-negative samples. If I perform vanilla regression (lets assume ridge regression) it will find $\beta$ ...
399 views

### Non-converging coefficients in hierarchial Bayes analysis of discrete choice

I am trying to analyse repeated responses from a discrete choice experiment. The DCE had one continuous parameter and five 3-level categorical parameters. I started with a multinomial logit and the ...
66 views

### I have this 3 clustering algorithms and I want to figure out which algorithm has the best algorithm for clustering

I'm new with clustering. I have this 3 algorithms and I want to figure out which algorithm has the best algorithm for clustering. I posted an image below, to show my clusters. I am confused on how to ...
I am implementing a Hierarchical Bayesian Modeling in order to model the relation between the independent and dependent parameters $(x, y)$. I assume the relation is:  y_i = \alpha + \beta x_i + \...