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Learning Theory
Learning Theory Pulse
Five questions across 8 topics. No timer.
1 / 5
Learning Theory
Question 1 of 5
foundation (2/10)
state theorem
For an estimator
T
n
of a parameter
θ
, what is the BIAS of
T
n
?
Hide and think first
A.
bias
θ
(
T
n
)
=
Var
θ
(
T
n
)
. The estimator's spread around its own mean.
B.
bias
θ
(
T
n
)
=
T
n
−
θ
. The per-dataset gap between the estimate and the true parameter.
C.
bias
θ
(
T
n
)
=
E
θ
[
T
n
]
−
θ
. A deterministic offset between expected value and truth.
D.
bias
θ
(
T
n
)
=
P
θ
(
∣
T
n
−
θ
∣
>
ε
)
. The tail probability of being far from
θ
.
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