Tagged Questions

0
votes
1answer
50 views

Simulated single value based on multiple chains in RJAGS

I am using RJAGS to simulate the posterior distribution of event that a certain candidate will win the presidential election. I need to find the actual percentage that one of the candidates will have. ...
2
votes
1answer
87 views

Predict 2 responses from two co-variates

I'm not quite sure how I should fit a model that has two responses. The data consists of target (x,y) co-ordinates and actual (x,y) co-ordinates. I would like to fit a model to predict a new set of ...
0
votes
0answers
42 views

Stat tools and methodologies for principal-agent problem

What are the most useful, popular or important statistical tools and/or methodologies for empirical study of 'agent-principal problem'? A simple example will be very useful. References or book ...
2
votes
0answers
74 views

Faster alternative to multivariate LOESS?

I want to make predictions by creating a smooth response surface to 2 variables. I get good results using R's loess() function, but with 10 million observations, it is far too slow. Are there any ...
1
vote
2answers
107 views

I need a model that can predict based on multiple variables. How do I get started?

I have a problem where I have to predict a variable X that is dependent on several other variables a,b,c,d... I have the data containing the values of these variables a,b,c,d.. and also X up to a ...
3
votes
2answers
107 views

Prediction and explanation of user rating based on multiple criteria

I'm trying to figure out a way to both predict how a user would rate a certain document, as well as an explanation of why certain documents are rated a certain way. A user is represented by: ...
2
votes
2answers
125 views

Multi-factor model for a quantitative response variable

I am analyzing data in order to develop a model for power generation of a solar system based on three predictor variables. I have done t-tests showing significant improvement in the generation while ...
4
votes
4answers
374 views

Combining 2 sets of coefficients, weighting one of the sets

I have two sets of coefficients from similar data taken at different times. What I want to do is combine the two sets of coefficients giving greater weight to the more most recent set. The goal is ...
7
votes
2answers
199 views

General approaches to model car traffic in a parking garage

a friend of mine has asked me to help him with predictive modelling of car traffic in a medium sized parking garage. The garage has its busy and easy days, its peak hours, dead hours opening hours (it ...
18
votes
6answers
6k views

Is adjusting p-values in a multiple regression for multiple comparisons a good idea?

Lets assume you are a social science researcher/econometrician trying to find relevant predictors of demand for a service. You have 2 outcome/dependent variables describing the demand (using the ...