# Tagged Questions

2answers
106 views

### How to specify/restrict the sign of coefficients in a GLM or similar model in R

The situation: I'm struggling with a predictive analysis of food sales prices using a generalized linear model. My dataset contains different kinds of food (cheeses, vegetables, meats, spices etc.) ...
1answer
97 views

### Which distributions are parameterization invariant when based on the Jeffreys prior?

I understand that the Jeffreys prior provides a method for constructing a prior distribution over parameters for a given model (likelihood function) such that the prior distribution is "invariant ...
0answers
30 views

### Modeling strategy to produce predicted probabilities for different aggregations

I have a large amount of data (millions of observations) and am trying to produce a predicted probability of a discrete action based on a number of covariates. So far, this is a classic classification ...
0answers
68 views

### How does predictive model for the Eurovision Song Contest work?

I've encountered interesting prediction of Eurovision Song Contest http://mewo2.com/nerdery/2013/05/12/eurovision-2013-first-predictions/ it based on some kind of Bayesian model I assume but I don't ...
1answer
169 views

### Conjugate prior for a binomial-like distribution

Every week, my $m-1$ friends and I enter a pub quiz which has $n$ points available. In any given week only some of us are there. Record the presence/absence of member $i$ in week $t$ in the matrix ...
0answers
49 views

### Analysing choices pattern

we have a process in which, at each step, a set of elements are presented to user, the user choses one, his choice is recorded and next round starts with a new set of elements. For example: 1. ...
2answers
305 views

### How to perform cross validation of a model predicting categorical variable in SAS?

I have a prediction outcome that is dichotomous while all other predictor variables are binary and categorical. How can I perform cross validation in SAS and see the ROC curve? I need to create ...
2answers
400 views

### Bayesian approach to modelling the prediction interval from a parametric model

I think I have already answered my question, but am not completely sure and would like some input. Please feel free to correct my terminology or misconceptions, I learned stats by osmosis rather than ...
1answer
113 views

### Predicting a semi-deterministic process

Say I have a process that gives me 3 outputs: $O^1$, $O^2$ and $O^3$. The outputs are generated from a semi-deterministic process, i.e. there is a deterministic component in the outputs, along with a ...
1answer
1k views

### Generative vs discriminant models

What are the differences between generative and discriminant models (in the context of Bayesian learning and inference)? and what it is concerned with prediction, decision theory or unsupervised ...