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Maximum likelihood estimation of a multidimensional log-concaveā¦
www.statslab.cam.ac.uk/~rjs57/CSSFinalLV.pdf24 Mar 2010: 100 200 500 1000 2000. 0.00. 10. 002. 0.00. 5. n. ... 03. 2e. 03. n. estim. ated. MIS. E. (a). 100 200 500 1000 2000. -
ODE approximations to some Markov chain models Perla Sousi ...
www.statslab.cam.ac.uk/~ps422/smithknight1.pdf10 Nov 2010: ODE approximations to some Markov chain. models. Perla Sousi. January 13, 2009. Contents. 1 Fluid limits and homogenization 2. 1.1 General theory. 2. 1.2 Homogenization. 4. 2 Approximation to the viral model 6. 2.1 Introduction. 6. 2.2 Finding the -
exsheet.dvi
www.statslab.cam.ac.uk/~rrw1/oc/exsheet2010.pdf16 Oct 2010: For example, if (n1, n2, n3, n4) = (1, 10, 1, 10), the calculation (M1M2)M3requires 20 scalar multiplications, but the calculation M1(M2M3) requires 200 scalarmultiplications. -
arX iv:0 907. 1459 v1 [ mat h-ph ] ...
www.statslab.cam.ac.uk/~yms/BCSS2.pdf16 Aug 2010: 200. 9. Anderson localization in a two-particle. continuous model with an alloy-type external.
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