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SUMMARY:Some ideas in nonparametric estimation - Piotr Fryzlewicz\, London
  School of Economics
DTSTART:20150213T160000Z
DTEND:20150213T170000Z
UID:TALK56942@talks.cam.ac.uk
CONTACT:20082
DESCRIPTION:The talk will be in two parts. In part 1\, I will discuss an e
 xtension of "Wild Binary Segmentation" for the detection of general featur
 es in data and the estimation of curves. In this approach\, simple feature
 s are fitted over a large collection of subsets of the data\, and the resu
 lts aggregated in a fast hierarchical fashion.\n\nIn part 2\, I will outli
 ne the construction of a class of algorithms for fast bottom-up processing
  of data living on graphs (which includes curves and images)\, and describ
 e how the structure of the algorithm enforces desirable theoretical behavi
 our.\n\nBoth parts concern work in progress\, but the nearest related refe
 rences are\n\nWild Binary Segmentation for multiple change-point detection
 . P. Fryzlewicz (2014). Annals of Statistics\, 42\, 2243-2281.\n\nSHAH: SH
 ape-Adaptive Haar wavelets for image denoising and classification. P. Fryz
 lewicz and C. Timmermans (2014). Under revision.
LOCATION:MR12\,  Centre for Mathematical Sciences\, Wilberforce Road\, Cam
 bridge
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