bambi (BAyesian Model Building Interface) is a Python package that provides a simple, high-level interface for fitting Generalized Linear Mixed Models (GLMMs) in a fully Bayesian setting using either Stan or PyMC3 backends.
Questions tagged [bambi]
7 questions
3
votes
1 answer
Interpretation of variables in multi-level regression with random effects
I have a dataset that looks like the one below (first 5 rows shown). CPA is an observed result from an experiment (treatment) on different advertising flights. Flights are hierarchically grouped in campaigns.
campaign_uid flight_uid treatment …
Amelio Vazquez-Reina
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2
votes
1 answer
Incorrect results with Poisson regression using bambi?
I am giving bambi (version 0.1.0) a try for a simple Poisson regression model. However the results differ when compared to straight pymc3 or statsmodels implementations, and I cannot seem to figure out how to interpret the coefficients that bambi…
user3083667
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1
vote
0 answers
How to pass a coordinate to inference data
I've been skimming through Arviz documentation and came across 8 school inference data.
import arviz as az
idata = az.load_arviz_data("centered_eight")
Inference data object also includes school coordinate. How can I do that with my bambi models? I…
mihagazvoda
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1
vote
1 answer
How to analzye this output of Bayesian analysis
I am trying to do Bayesian analysis using pymc3 and bambi softwares.
My data shape is 136x5 and top 5 rows are as follows:
AGE GENDER AVAR BVAR OUTVAR
0 60 F 0.9 0 8260.0
1 56 F 5.4 1 15888.0
2 55 F 1.2 …
rnso
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Fit a (frequentist) maximum likelihood model in Bambi
Let's say I have a simple binomial regression model:
import pandas as pd
import bambi as bmb
df = pd.DataFrame(data={'group': ['A', 'B'], 'y': [3, 4], 'n': 10})
model = bmb.Model("p(y, n) ~ group", df, family="binomial")
idata = model.fit()
Is…
mihagazvoda
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0
votes
1 answer
In Arviz while ploting the plot_trace or plot_posterior getting the type error
While running the code az.plot_trace(result_final);
facing the below error
TypeError: expected dtype object, got 'numpy.dtype[float64]'
The above exception was the direct cause of the following exception:
SystemError: CPUDispatcher(
0
votes
2 answers
Specify log-normal family in BAMBI model
I'm trying to fit a simple Bayesian regression model to some right-skewed data. Thought I'd try setting family to a log-normal distribution. I'm using pymc3 wrapper BAMBI. Is there a way to build a custom family with a log-normal distribution?
user3768727
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