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The fact that EH(P^ n) H(P) follows from the concavity of the entropy (using Jensen’s inequality), upon noting that E(P^ n) = P 6 Size of typeclass This is mostly straightforward computations 7 Hypothesis testing Stein Lemma says we should use the decision region, B n = B n ( ) = fxn 1 2A n 2D(P 1kP 2) P n 1 (x 1) Pn. E x a m D e ta i l s Y o u ca n t a ke t h e C H F A e xa m f ro m a n y q u a l i f yi n g co mp u t e r, a n yw h e re t h e re i s i n t e rn e t , a l mo st a n y t i me N o n e e d t o g o t o a t e st ce n t e r (se e H a rd w a re C o mp a t i b i l i t y C h e ck b e l o w ). 5 e y h 5 ª % u Y é Y Í í !.

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The fact that EH(P^ n) H(P) follows from the concavity of the entropy (using Jensen’s inequality), upon noting that E(P^ n) = P 6 Size of typeclass This is mostly straightforward computations 7 Hypothesis testing Stein Lemma says we should use the decision region, B n = B n ( ) = fxn 1 2A n 2D(P 1kP 2) P n 1 (x 1) Pn. X ̂ 1810 N ォ 瑱 ݂̗ j X q H ŁA ō ̃\ t g X ɂ g p Ɍ n Rubbit Fur Felt v X ` Ő. H C G B P e _ d k Z g ^ t j F H R ?.

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Small words use in scrabble List of words, 2 to 5 letter word. E−λ = λ The easiest way to get the variance is to first calculate EX(X −1), because this will let us use the same sort of trick about factorials and the exponential. X y z a b c d e f g h i j k l m n o p q r s t u v w Y y z a b c d e f g h i j k from CS UCCN1213 at University of Tunku Abdul Rahman This preview shows page 9 15.

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