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| author | Stratis Ioannidis <stratis@stratis-Latitude-E6320.(none)> | 2013-07-06 13:51:35 -0700 |
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| committer | Stratis Ioannidis <stratis@stratis-Latitude-E6320.(none)> | 2013-07-06 13:51:35 -0700 |
| commit | 17ab40af5d34a43ef07a9d310af07d29cce5853a (patch) | |
| tree | cffdf7280b13f600ed18ca2bd1208abb53eed6cc | |
| parent | 7d9a2b056ba57985d21d50b61c6c3ebfd7f3ed95 (diff) | |
| download | recommendation-17ab40af5d34a43ef07a9d310af07d29cce5853a.tar.gz | |
abstract
| -rw-r--r-- | abstract.tex | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/abstract.tex b/abstract.tex index 390a261..d62c1d5 100644 --- a/abstract.tex +++ b/abstract.tex @@ -7,7 +7,7 @@ has access to a population of $n$ potential experiment subjects $i\in \{1,\ldots %as well as a cost $c_i>0$. Conducting an experiment with subject $i$ reveals an unknown value $y_i\in \reals$ to \E. \E\ typically assumes some hypothetical relationship between $x_i$'s and $y_i$'s, \emph{e.g.}, $y_i \approx \T{\beta} x_i$, and estimates -$\beta$ from experiments through linear regression. +$\beta$ from experiments, \emph{e.g.}, through linear regression. %conducting the experiments and obtaining the measurements $y_i$ allows %\E\ can estimate $\beta$. As a proxy for various practical constraints, \E{} may select only a subset of subjects on which to conduct the experiment. |