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Questions tagged [model-checking]

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3 votes
1 answer
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Does the example given correspond to a prior predictive check?

Could someone explain to me precisely what is meant by prior predictive check, in Bayesian inference? In some documents, one uses observed data (“in which we ...
Andrew's user avatar
  • 189
0 votes
0 answers
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Check_model performance package interpretation plots

I am fairly new to R and statistics and I am building GLMs for frogs occupancy and abundance using a dataset with 57 observations and 13 independent variables. As some variables are correlated the ...
Marco Lassandro's user avatar
6 votes
2 answers
201 views

How to compare fitted survival model with covariates vs. Kaplan-Meier?

How would one ideally compare fitted survival models with covariates vs. a Kaplan-Meier with a goal of getting an idea of whether the survival model describes the data well. E.g. in an example like ...
Björn's user avatar
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building a good (mixed) linear model for agri-ecology data [duplicate]

I encountered an problem. I cannot build a good mixed linear model. For example, ...
PeterPanPan's user avatar
0 votes
0 answers
108 views

Can I say that my model is acceptable?

I am performing a multiple regression with GAM.I found the significant predictors using the stepAIC function and now I am performing a model checking with mod.check(). This is what a get: ...
Franc's user avatar
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3 votes
1 answer
5k views

Test to prove Poker deals are not random

Note: I am fully aware about confirmation bias. People suspected "rigged" dealing in any game that has random elements. I played on a mobile app of Texas holdem poker called pokerrrr 2. I ...
Cohensius's user avatar
  • 469
2 votes
1 answer
956 views

How do I interpret the angles of two concentration ellipses?

Consider a map with two concentration ellipses like this below. The Vomit_y group is (almost?) perfectly vertical, while the Vomit_n group seems to be oriented at about 45 degrees. I understand that ...
Brett Reynolds's user avatar
0 votes
1 answer
215 views

How to check if a Machine Learning model is applicable for newly input data?

Suppose we have a good Machine Learning model, with good cross-validation and test score. How can we estimate whether a newly input data instance belongs to the domain of data where model predictions ...
amos696's user avatar
1 vote
1 answer
125 views

Bayesian test quantities

I have a Bayesian model and was looking to do some model checking via Posterior Predictive p-values. From Bayesian Data Analysis (Gelman et al) it is stated that we adopt a test quantity $T(y,\theta)$...
statsplease's user avatar
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4 votes
0 answers
415 views

Negative binomial GLM: model checking in R

I'm using a negative binomial GLM in R, but I could not solve the following issues (using McCullagh and Nelder (1989), textbooks and Google): Residual plots. McCullagh and Nelder (1989, p.398) ...
Gerit Wagner's user avatar