Exact(4)
(2) Posterior odds of k th hypothesis on q th stage are (19) O (h k (q ) ∣ x (or ) e ) = [ ∏ i = 1 N L i ] O (h k (q ) ). x : evidence is certain; e : evidence is uncertain; L i : LS i {likelihood of sufficiency} L i : LN i {likelihood of necessity} L i : 1 {evidence is unknown}.
Posterior odds of kth hypothesis on qth stage are (19) O (h k (q ) ∣ x (or ) e ) = [ ∏ i = 1 N L i ] O (h k (q ) ). x: evidence is certain; e: evidence is uncertain; L i : LS i {likelihood of sufficiency} L i : LN i {likelihood of necessity} L i : 1 {evidence is unknown}.
Least squares based channel estimate is given by H ^ p i LS ( k ) = H p i ( k ) + W p i ( k ) X p i ( k ), (3).
Next, consider all possible R u, R v and all possible treatment locations (m and n), in the case of one tie X 1, (7) reduces to, (8) ∑ l = 1 k n l ∏ t = 1 k n t n t - 1 I t ≠ l N 2 k - 1 ∑ R u = m k - i + m ∑ R v = n k - i + n [ C t 1 + t 2 + t 3 I SS R u, R v + I LS R u, R v + I LL R u, R v 1 × k - 2 ! k - 2 !
Similar(56)
w i L i, E i ?
E i L i, Ag e i ?
w i L i Age,, E f ?
For simple loss function: Π i l = 1, i ≠ l, 0, i = l,.
w i L i Age,, E i L i Ag e i ?
If F i > F i (L bpi).
L VT i * = arg max L VT i, k P i L VT i, k. (9).
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