arXiv
(509,308 recursos)
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62.
Forward stagewise regression and the monotone lasso - Hastie, Trevor; Taylor, Jonathan; Tibshirani, Robert; Walther, Guenther
In Efron, Hastie,
Johnstone & Tibshirani (2004) it is proved that the least angle regression
algorithm, with a small modification, solves the lasso regression problem.
63.
Needlet algorithms for estimation in inverse problems - Kerkyacharian, Gérard; Petrushev, Pencho; Picard, Dominique; Willer, Thomas
We provide a new algorithm for the treatment of inverse problems which
combines the traditional SVD inversion with an appropriate thresholding
technique in a well chosen new basis.
64.
The Dagum family of isotropic correlation functions - Berg, Christian; Mateu, Jorge; Porcu, Emilio
A function $\rho: [0, \infty) \to (0,1]$ is a completely monotonic function
if and only if $\rho(||\xx||^2)$ is positive definite on $\RR^d$ for all $d$,
and thus it represents the correlation function of a weakly stationary and
isotropic Gaussian random field.
66.
Inflated Beta Distributions - Ospina, Raydonal; Ferrari, Silvia L. P.
This paper considers the issue of modeling fractional data observed in the
interval [0,1), (0,1] or [0,1].
67.
Statistical minimax approach of the Hausdorff moment problem - Ngoc, Thanh Mai Pham
We prove an upper bound and a lower bound on the rate of
convergence of the mean squared error showing that the considered estimator
attains minimax rate over the corresponding smoothness classes.
69.
Causal inference in longitudinal studies with history-restricted
marginal structural models - Neugebauer, Romain; van der Laan, Mark J.; Joffe, Marshall M.; Tager, Ira B.
A new class of Marginal Structural Models (MSMs), History-Restricted MSMs
(HRMSMs), was recently introduced for longitudinal data for the purpose of
defining causal parameters which may often be better suited for public health
research or at least more practicable than MSMs \citejoffe,feldman.
72.
Recursive Parameter Estimation: Convergence - Sharia, Teo
We consider estimation procedures which are recursive in the sense that each
successive estimator is obtained from the previous one by a simple adjustment.
74.
Recursive Parameter Estimation: Asymptotic expansion - Sharia, Teo
We consider estimation procedures which are recursive in the sense that each
successive estimator is obtained from the previous one by a simple adjustment.
80.
Asymptotics for Duration-Driven Long Range Dependent Processes - Hsieh, Meng-Chen; Hurvich, Clifford M.; Soulier, Philippe
For these processes, we obtain the
limiting distribution of suitably standardized discrete Fourier transforms
(DFTs) and sample autocovariances.
61.
