1,764 questions
1
vote
1
answer
33
views
Bayesian ordinal logistic model using rstan
Is my syntax below for an ordinal logistic model correct? I get an error message which I don't understand.I got the code from a published paper illustrating a graded response model (ordinal logistic, ...
- 247
2
votes
0
answers
100
views
Using qKnowledgeGradient with SaasFullyBayesianSingleTaskGP gives shape mismatch error
I’m trying to use qKnowledgeGradient with a fully Bayesian SAAS (Sparse Axis Aligned Subspace) GP (Gaussian Process) (using SaasFullyBayesianSingleTaskGP) in BoTorch. I'm doing so by writing a new ...
- 21
0
votes
0
answers
41
views
Can't install PyCuba
I am unable to use PyCuba, a Python interface for the multidimensional-integration library Cuba, on macOS 15.5. PyMultiNest, which requires PyCuba, is common for Bayesian analysis in the scientific ...
- 21
0
votes
0
answers
42
views
Marketing Mix MCMC Model has zero acceptance probability
I am trying to build a Marketing Mix Model using the MCMC implementation from Jax and Black Jax. However when running the model, the sample acceptance probability stays zero, and so there are no ...
1
vote
0
answers
68
views
How can I fix model parametrization for truncated normal distribution in pymc?
I am trying to setup a Bayesian metanalysis of report rates of events. My target estimate is the probability that participants will report X in each study. Every participant provides ~20-40 response, ...
- 11
0
votes
1
answer
102
views
Generating the global bayesian fit and local fit for a BLI experiment
I am trying to get the global bayesian fit and local fit for the raw data curve of a Bio-Layer Interferometry (BLI) experiment.
In a BLI experiment, you are first coating the tip of a sensor with ...
- 37
1
vote
0
answers
37
views
JAGS model insensitive to data
I am new to JAGS and working on an assignment for a class. I have been trying to get my model to work for the past few hours and something just isn't clicking, and I hope someone here may be able to ...
- 11
6
votes
1
answer
284
views
Attaching labels estimating proportion of posterior density within an interval in the ggdist package
I am trying to create a graph plotting distributions of estimated difference between several groups using the ggdist() package in R. The help has been useful but it does not cover anywhere near the ...
- 3,414
2
votes
1
answer
118
views
Integrating a density to find the upper limit to give a certain probability
I have a posterior density function and I am trying to integrate its posterior cumulative distribution function (CDF) such that I want to find the upper bound of integration so that the probability is ...
- 345
0
votes
1
answer
55
views
Transition from frequentist logistic regression to Bayesian logistic regression
I have been trying to solve this issue with my code for a few weeks now. Ultimately, I need the ParameterEstimates and OddsRatios tables as output.
When I try to run a frequentist logistic regression ...
- 1
0
votes
0
answers
19
views
Scaling Data and Prior in Bayesian while using ADVI
Assume I have data X with normal likelihood and Prior Mean C as Laplace prior as inputs to the model.
For easier convergence, I multiply each observation of Data by C and then use Prior Mean 1. And I ...
- 1
0
votes
0
answers
135
views
RuntimeError: 'tuple' object has no attribute 'rank'—custom DenseVariational prior/posterior functions are returning a tuple instead of a tensor
I'm encountering a runtime error when building my Bayesian neural network using tfp.layers.DenseVariational layers on QuantConnect. The error occurs during model construction and states:
pgsql
Copy
...
1
vote
0
answers
101
views
How to estimate a reliable average using bootstrapping with weighted data and measurement uncertainties?
I have a small dataset where each data point (y_i) comes with its own measurement uncertainty (e_i). I want to estimate a reliable average value for (y) while properly considering the uncertainties (...
- 233
0
votes
0
answers
52
views
Posterior Predictive Check for Dirichlet-Multinomial Model
Hi Bayesian modellers,
I have this model written in JAGS and I would like to conduct a Posterior Predictive Check.
model{
#loop observations
for (i in 1:numObs){
choice[i]~dcat(theta[catid[i],...
- 415
0
votes
1
answer
135
views
Prior distribution for zero-inflated Poisson MCMCglmm?
I'm quite new to Bayesian statistics and not sure how to determine the dimensions of my priors. I am using code from Ben Bolker to run quite a big MCMCglmm with 52 response variables, 7 fixed effects, ...
