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Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates
Ancillary variables de-noise linear model errors-in-variable profile least-square-based estimator rational expection model
2010/3/18
We study semiparametric varying-coefficient partially linear models
when some linear covariates are not observed, but ancillary variables
are available. Semiparametric profile least-square based est...
Statistical Inference of Functional Connectivity in Neuronal Networks using Frequent Episodes
event sequences spike trains multi-electrode array microcircuits temporal data mining frequentepisodes
2010/3/18
Identifying the spatio-temporal network structure of brain activity from multi-neuronal data streams is one of the biggest challenges in neuroscience. Repeating patterns of precisely timed activity ac...
Fast learning rates in statistical inference through aggregation
Fast learning rates statistical inference aggregation
2010/4/27
We develop minimax optimal risk bounds for the general learning
task consisting in predicting as well as the best function in a reference
set G up to the smallest possible additive term, called the ...