Annales de l'Institut Henri Poincaré
By H. P.. 1931
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Citations in the corpus
- Generative and Latent Mean Map Kernels (2010, methodology): “Although the concept dates back quite a bit [6, 7, 24], the phrase mean map was coined by Smola et al. [20] as a Hilbert space embedding of empirical distributions.”
- On the conditions used to prove oracle results for the Lasso (2009, neutral): “We know that for k = 1, . . . , K, |βj| ≤ ‖βNk−1‖1/s, j ∈ Nk, and hence, ‖βNk‖rr ≤ s−(r−1)‖βNk−1‖r1.”
- Analysis of Multi-stage Convex Relaxation for Sparse Regularization (2010, methodology): “The prediction performance of this method has been considered in Koltchinskii (2008), Zhang (2009a), Bickel et al. (2009) and Bunea et al. (2007).”
- Hitting, Occupation, and Inverse Local Times of One-Dimensional Diffusions: Martingale and Excursion (2003, unknown): “…with ª :¼ ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 2ºþ 2 p , is e c cosh(ªc)þ ((ª2 þ 2)=2 ª)sinh(ªc) ¼ 4ª (ªþ )2e(ª )c (ª )2e (ªþ )c (57) which agrees with a formula of Evans (1994) for ¼ c ¼ 1, and with the formula of Yor (1995, p. 47) after correction of a typographical error whereby (Æ…”
- ON THE OPTIMAL DIVIDEND PROBLEM FOR A SPECTRALLY POSITIVE LÉVY PROCESS (2013, background): “…Lévy process X, note that −X is a spectrally negative Lévy process, the existence of unique strong solution to above equation follows directly from Kyprianou and Loeffen (2010), in which the so-called refracted Lévy processes were established for spectrally negative Lévy processes.”
- Essentials of the self-organizing map (2013, methodology): “The convergence of the original SOM algorithm to the globally orderedstatehasbeenprovenmathematicallyinsomesimplelow-dimensional cases: see Cottrell and Fort (1987).”
- Large deviation properties of weakly interacting processes via weak convergence methods (2010, unknown): “The Annals of Probability 2012, Vol. 40, No. 1, 74–102 DOI: 10.1214/10-AOP616 © Institute of Mathematical Statistics, 2012”
- Dynamic asset pricing theory with uncertain time-horizon. (2005, unknown): “That assumption is known as the K-assumption in probability theory (see for example Mazziotto and Szpirglas (1979)).”