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26 Jan 2015: Thus for large B we can expect to see thatFB(x) F(x). ... theoretical_quantiles <- qf((1:B) / (B 1), df1, df2). plot(theoretical_quantiles, f_stat). abline(0, 1, col = "red").

17 Sep 2015: gi > (Pg)i. jIpijgj > 0 i,(a). gi = 1 i B(b). ... c) gi > (P̃g)i i,. where. p̃ij =. {pij (i / B),δij (i B).

23 Sep 2015: One such approximation results from replacing ‖b‖0 with ‖b‖1 :=. pk=1 |bk|, so. ... Yet importantly, sparsity of the estimator is retained. This is essentially because theset {b : ‖b‖1 r} for r > 0 has corners; see Bühlmann and van de Geer

19 May 2015: Here is a sample answer:. 6. Theorem. If b is Lipschitz, i.e. ... Ẋ = b(X) σ(X)N. where N is some suitable noise process.

23 Jan 2015: b) Find the Fisher information I(θ) for a single observation, (X1, Y1). ... 23 5 15 NF B M 25-29. 24 6 6 NF B F 25-29.