Tagged Questions
0
votes
0answers
27 views
Inference in a mix of two datasets with different features
The other day I was wondering this: Let's say that I have two experiments, a sample $N = N_1 \cup N_2$ and a set of features $F = F_1 \cup F_2$. In the experiment 1, from the $N_1$ sub sample are ...
-1
votes
1answer
55 views
validating a regression model
I want to build a regression model to predict daily income from customers. I have 2 problems:
1. Choosing data for the training set - do I use daily income from 1 month ago, 6 month ago etc.
2. How do ...
0
votes
1answer
52 views
Constructing a measure versus using an interaction
My dataset is sports data and the outcome variable is wins in a season and I am trying to see the affect of the characteristics of the players on the team on this outcome. My question is, is it easier ...
1
vote
0answers
61 views
Determining optimal height for regression tree
I have a data set of approximately 400,000 records (for those of you who know, the data set is the one provided by yahoo for their yahoo learning to rank challenge). From this data set I learn a ...
2
votes
0answers
80 views
Is there a method to know if we can apply regression to certain dataset and obtain satisfactory results?
I am working on 84 images, where each image is assigned a target value Y (could be any measure such as blur or noise level). Y is already known for all images. Features X (predictors) are extracted ...
2
votes
1answer
72 views
How to compile data from annual reports?
I am doing a study of the relationship between two items say A and B. The data consists of information printed on the annual reports from say 2000 - 2010 (10 years). For each item, i.e. A and B there ...
1
vote
3answers
706 views
What is the difference between pooled cross sectional data and panel data?
They seem so similar. Are they the same thing but just referred to as different names?
4
votes
1answer
84 views
Learning from relational data
Settings
Many algorithms operate on a single relation or table, while many real-world databases store information in multiple tables (Domingos, 2003).
Question
What types of algorithms learn well ...
3
votes
0answers
273 views
High-dimensional Regression Datasets [closed]
Am looking for pointers to publicly(online) available high-dimensional regression datasets for evaluating my research work.
By high-dimensional, am looking for regression datsets with the number of ...
3
votes
2answers
126 views
Simulation of covariates in regression
I am doing a simulation study on a simple linear regression model to see how well OLS estimator performs. I am planning to use coverage probability to assess the estimation of slope parameter using ...
1
vote
1answer
684 views
Simple Multivariate Regression with Octave
For the last 2 months, I've been trying to do any kind of multivariate regression, but I haven't had much luck. I hear Octave is simpler and more intuitive for these kinds of tasks, so I thought I'd ...
0
votes
0answers
221 views
Logistic regression with longitudinal data
I have longitudinal data (one measurement being continous and the other ordinal) and I want to fit a model which takes into account the correlation between these two measures. I am using stata. Can ...
0
votes
1answer
115 views
Subdividing a dataset
I know I can subdivide a dataset by socio-demographic factors such as gender, age, income level etc. and analyse the responses for each set separately and then compare the results.
For example, I am ...
3
votes
3answers
640 views
How should we convert sports results data to perform a valid logistical regression?
Say we want to perform a logistical regression analysis (although my question pertains to regressions in general) on sports results to determine the effects of various factors on who wins and who ...
5
votes
1answer
214 views
Weird residuals in linear regression
I analyze a set of multivariate measurements. It is known that several pairs of independent variables show high linear correlation. The graph below shows a scatterplot of one such pair (X and Y, upper ...
