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Statistical Laboratory, 1978
www.statslab.cam.ac.uk/files/Statistical%20Laboratory%20Photos/1970-1979/pic78.html21 Oct 2020: KA.Kuulasmaa J.L.Gilbert C.T.Sparrow A.S.H.Basinski R.A.Sutherland C.G.Small J.E.Forster. A.WoodR.E.Lee D.J.Steinitz A.C.Kowalski -
PLAQUETTES, SPHERES, AND ENTANGLEMENT GEOFFREY R. GRIMMETT AND…
www.statslab.cam.ac.uk/~grg/papers/USsphere11.pdf17 Aug 2010: Since K H+ {0},we have θHa θ. Ka and p. Ha p. ... Ka , and therefore pg p. Ha by Theorem 5. We pose two questions. -
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www.statslab.cam.ac.uk/~james/Markov/s11.pdf27 Aug 2002: 3 YYY4 ¿À( 331£3¡£3¥¤¡Àée£e@¢ÂY¿AºÛz1º@£I d«Ë & &(()pÀ( ðN¢.1ñ9º.É«KÅ@ÇseÀ Ù¢Âz¿wº.Â,»65À ÙÙIº.¢»é» Å3EÅZ ) }Çe«7Ë ªÕ ÅZË ÿ ªÑ ... 3 YY@KMLONSP Q 4 _ SR;T U £I¡s«Ë -
gc001085 1..24
www.statslab.cam.ac.uk/~rjs57/2005GC001085.pdf10 Nov 2012: Nonparametric regres-sion estimates were analyzed with a sliding windowlength of 1500 ka and a step size of 125 ka. ... Theshorter %NCW record was analyzed with a windowlength of 625 ka and a step size of 62.5 ka. -
Applied Probability Nathanaël Berestycki and Perla Sousi∗ March 6,…
www.statslab.cam.ac.uk/~ps422/notes-new.pdf17 Mar 2017: Let hA(x) = Px(TA < ) and kA(x) = Ex[TA]. Theorem 2.2. ... kA(x) = 0 x A. QkA(x) =y. qxykA(y) = 1 x / A. -
Markov Chains These notes contain material prepared by colleagues ...
www.statslab.cam.ac.uk/~rrw1/markov/M.pdf22 May 2013: Theorem 4.2. The vector of mean hitting times kA = (kAi : i I) is the minimalnon-negative solution to the system of linear equations. {. ... 4.1). Proof. First we show that kA satisfies (4.1). If X0 = i A, then HA = 0, so kAi = 0.If X0 6 A, then HA 1, so -
Math. Stat. Learn. 2 (2019), 165–216DOI 10.4171/MSL/14 Mathematical…
www.statslab.cam.ac.uk/~nickl/Site/__files/MSL.pdf24 Sep 2020: Math. Stat. Learn. 2 (2019), 165–216DOI 10.4171/MSL/14. Mathematical Statistics and Learning European Mathematical Society. On statistical Calderón problems. Kweku Abraham and Richard Nickl. Abstract. For D a bounded domain in Rd;d 2; with smooth -
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www.statslab.cam.ac.uk/~james/Markov/s110.pdf2 Oct 2001: O1[2' ),5' )6?'_$&1Ë.%4A+ ,5O'g?C56#P+?ì1'M?'. Ó F>Å+!"eê ¤ ê Ò Ka)6?@-2a¢ê £9¤ =Ãh)6,!" ,/ F F7?"56#N¢æ £ ... 1.'.)6,5'.)? 'e$;561['.0?-#!CBEÆ «! "= 1[0.@?' $:!-561(Ka/2?"S"a05+!"A+-)!"=61., @?'.$;!"5 13'!ì,5 1[A+ '.)6_%M)6?"$:5ì8;0?@ -
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www.statslab.cam.ac.uk/~rjs57/BeranComparison5.pdf24 Apr 2005: z D {. KÃ ÈÉ nÇLÌ Ç ÈL « /¡¢ N[@ D ND/@Dj£w DzH« z@ ¥ @zR@ | g. -
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www.statslab.cam.ac.uk/~rds37/papers/Shah%20Samworth%202013%20Variable%20selection%20with%20error%20control%20-%20another%20look%20at%20stability%20selection.pdf20 Dec 2012: 2012 Royal Statistical Society 1369–7412/13/75055. J. R. Statist. Soc. B (2013)75, Part 1, pp. 55–80. Variable selection with error control: another look atstability selection. Rajen D. Shah and Richard J. Samworth. University of Cambridge, UK.
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