TensorGrasp

One major research program in our lab aims to understand how the motor system makes use of task related and perceptual information when planning and executing movement. For example, a right handed “reach and grasp” action is executed more quickly … Read more

1,321 Words

Quantile models with random effects

More experimenting with the quantile regression model described here. Good regression models are multi-level, so I’ve been playing around at validating a quantile model with random effects.

The data

In the validation of the simple quantile regression model, we … Read more

691 Words

Linear models for quantiles

Most statistical models used in experimental psychology are designed to estimate the mean of a response variable given some set of predictors. This is all well and good when errors are largely symmetric and our predictors are expected to primarily … Read more

1,234 Words

Factorizing motion trajectories

It’s difficult to analyze trajectory data, since the “object” of analysis (the trajectory) can’t easily be summarized by a single value without throwing away large amounts of information, unless you already know what you’re looking for (e.g. if you’re looking … Read more

849 Words