Search
Search Funnelback University
41 -
50 of
78
search results for KaKaoTalk:po03 op |u:www.statslab.cam.ac.uk
where 0
match all words and 78
match some words.
Results that match 1 of 2 words
-
Recent Progress in Log-Concave Density Estimation
www.statslab.cam.ac.uk/~rjs57/STS666.pdf29 Nov 2018: We mention that in thecase d = 1, Doss and Wellner (2016b) proved thatd2H(f̂n, f0) = Op(n4/5) for each fixed f0 F1, andindeed showed that the same rate holds for ... Then. supx0I. f̂n(x0) f0(x0) = Op((. log n. n. )β/(2β1)). Here the log-concave MLE -
Stability of End-to-End Algorithms for Joint Routing andRate Control…
www.statslab.cam.ac.uk/~frank/PAPERS/kv.pdf8 Jun 2015: Theorem 1. If the vector x = (xr, r R) solves the op-timization problem. -
Lecture Notes on Statistical Modelling Qingyuan Zhao December 2, ...
www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/notes.pdf3 Jun 2024: Lecture Notes on Statistical Modelling. Qingyuan Zhao. December 2, 2021. Website for this course: http://www.statslab.cam.ac.uk/qz280/teaching/modelling-2021/. Copyright c2021 Dr Qingyuan Zhao (qyzhao@statslab.cam.ac.uk). This document should be -
J Theor Probab (2009) 22: 38–56DOI 10.1007/s10959-008-0177-3 On…
www.statslab.cam.ac.uk/~nickl/Site/__files/jotp09.pdf30 Apr 2009: n(pYn pY. ) (pZn pZ). p,λ= oP(1) (8). for p = (or p = 2). ... OP(n2t/(2t1). ) = oP(n1/2. ). since t > 1/2, and we have, for example, the following:. -
CHOICE OF NEIGHBOUR ORDER FOR NEAREST-NEIGHBOUR CLASSIFICATION RULE…
www.statslab.cam.ac.uk/~rjs57/HPSLV.pdf28 Aug 2007: From these. properties, (A.8) and (A.11) it can be proved that φ(Z(k)) 1 = qk Qk 1 =. Op(k/T). This property suggests, although of course does not ... enables us to convert the in-probability bound (qk Qk 1) PPois(z,Z(k)) = Op(k/T). -
��������� � �� ��������������������� �� �����!��"��$#%…
www.statslab.cam.ac.uk/~rjs57/Empirical.pdf24 Apr 2005: 9999 m "2@ op@ ) }. "¤£ ) "6@ ¢ "¤£ )) 9999 m£ 9999 == =. "¤£ ) } "¤£ ) "6@ ¢ "¤£ )) m£ 9999. ... ØcËÝ m "2@ op@ )@ ¢ " ¢ ) F }. ò " } ) l F. }ò # F 1 " ) ¢ l F } m. -
ON BAYESIAN INFERENCE FOR SOME STATISTICAL INVERSEPROBLEMS WITH…
www.statslab.cam.ac.uk/~nickl/Site/__files/bnews.pdf6 Nov 2017: Kekkonen, H., Lassas, M. and Samuli Siltanen.(2016). Posterior consistency and convergencerates for Bayesian inversion with hypoelliptic op-erators. -
Lecture Notes on Causal Inference(with corrections) Qingyuan Zhao May …
www.statslab.cam.ac.uk/~qz280/teaching/causal-2023/notes-2021.pdf3 Jun 2024: Lecture Notes on Causal Inference(with corrections). Qingyuan Zhao. May 30, 2022. Website for this course: http://www.statslab.cam.ac.uk/qz280/teaching/causal-2020/. Please contact me if you find any mistakes or have any comments. Copyright c2022 Dr -
rcm1-1.dvi
www.statslab.cam.ac.uk/~grg/books/rcm1-1.pdf23 Jul 2012: Geoffrey Grimmett. The Random-Cluster Model. With 37 Figures. Springer. cSpringer-Verlag 2006. Geoffrey GrimmettStatistical LaboratoryCentre for Mathematical SciencesUniversity of CambridgeWilberforce RoadCambridge CB3 0WBUnited Kingdom. Mathematics -
paper.dvi
www.statslab.cam.ac.uk/~frank/CP/cp.pdf26 Apr 2009: The Cliord Paterson Lecture Modelling communication networks. present and future. By F P Kelly. Statistical Laboratory University of Cambridge Mill Lane Cambridge CB SB UK. Modern communication networks are able to respond to randomly
Search history
Recently clicked results
Recently clicked results
Your click history is empty.
Recent searches
Recent searches
Your search history is empty.