CBMS-NSF REGIONAL CONFERENCE SERIES IN APPLIED MATHEMATICS

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Fastfood: Approximate Kernel Expansions in Loglinear Time (2014, background): “(RKHS) (Aronszajn, 1944; Wahba, 1990; Micchelli, 1986) and one may show that estimators using norms in feature space as penalty are equivalent to estimators using smoothness in an RKHS (Girosi, 1998; Smola et al.”
Optimal Rates for the Regularized Least-Squares Algorithm (2007, methodology): “Let us now introduce the regularized least-squares algorithm [33], [22], [6], [37].”
Partially Linear Models (2000, methodology): “Engle, Granger, Rice and Weiss (1986), Heckman (1986), Rice (1986), Whaba (1990), Green and Silverman (1994) and Eubank, Kambour, Kim, Klipple, Reese and Schimek (1998) used the spline smoothing technique and defined the penalized estimators of β and g as the solution of argminβ,g 1 n n∑ i=1 {Yi…”
Monte Carlo and Quasi-Monte Carlo Sampling (2009, methodology): “To keep things simple, here we define a special case of the general definition of these sequences found in [313] and [398].”
Convex Functions: Constructions, Characterizations and Counterexamples (2010, background): “2.4.20 (Pshenichnii–Rockafellar conditions [357]).”
The continuous wavelet transform : a primer (2011, unknown): “The generalized Morse wavelets (GMWs) are a two-parameter family of wavelets, dened, in the frequency domain, by ; (!) = K ; H(!)! e ! (22)”