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What is the complexity of locally linear regression on many grid points?

Say I have $n$ data points and I want to estimate $f(x)$ at $m$ locations, where both $n$ and $m$ are large. Are there any common algorithms for computing locally linear regression estimates at all ...
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Partitioning Spatial Dependence?

So, I have a group of nations that exhibit global spatial dependence. I want to partition the nations into groups so that, at an intuitive level at least, the "sum of the spatial dependence within ...
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275 views

Combining many small regressions to answer question “what was most related?”

I have an interesting data set for which I want to answer the question: Question How do I rank consumption of a key resource from my data set. I am not interested in predicting, rather measuring ...
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853 views

Two significant covariates in coxph analysis: exploring whether the two covariates interact significantly

I am using R 2.15.2 GUI1.53 64-bit on MacOSX 10.5.8 to perform these analyses. I am a molecular biologist by training, not a statistician, so all this analysis represents my own bootstrapped learning ...
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Detecting outstanding events [duplicate]

Possible Duplicate: Simple algorithm for online outlier detection of a generic time series Observing the time series data I noticed there are some outstanding peaks (the picture below). I ...