Lets look at the California dataset of average emergency visits. Can we throw a GMRF+SVR regression model at it and impute missing values?

If so, how good are the results?

If so, how good are the results?

Ising models
(10)
GMRF
(8)
Probability of error
(5)
Error exponent
(4)
Geo
(4)
Hypothesis testing
(3)
Urban data
(3)
p-value
(3)
Ising models.
(2)
MAP detector
(2)
MSE
(2)
Partial partition functions
(2)
Star network
(2)
CAR
(1)
Chain graph
(1)
Complete graph
(1)
Curie temp
(1)
ERGM
(1)
Imputation
(1)
Intro
(1)
KDD
(1)
KDD Cup 2012
(1)
Large deviation analysis
(1)
MRF
(1)
Majority vote detection
(1)
R
(1)
SAR
(1)
SVR
(1)
Spectral radius
(1)
Stability analysis
(1)
Stat physics
(1)
Sufficient Stats
(1)
magnetization
(1)