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"Sumset inequalities for differential entropy"
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/ac4.pdf5 Jun 2020: This establishes (25) and hence (24). We now deduce the result from (24). ... And by the chain rule, the second term in the left-hand side of (24) is,. -
1 Let f : R>0 → C be a ...
https://www.dpmms.cam.ac.uk/~ajs1005/modular/pf-sample-qns.pdf7 May 2020: c) Let = qn1(1 qn)24 =. n1 τ(n)q. n be the normalised cusp form of weight 12.Use the fact that there is no nonzero cusp form of weight -
Diffeomorphisms of discs
https://www.dpmms.cam.ac.uk/~or257/slides/Copenhagen2020.pdf8 Sep 2020: 54. 56. 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 ... 44. 46. 48. 50. 52. 54. 56. 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 -
IA Groups - Example Sheet 3 Michaelmas 2020 ak467@cam.ac.uk ...
https://www.dpmms.cam.ac.uk/study/IA/Groups/2020-2021/Groups_Sheet3.pdf11 Nov 2020: b) Show that N = {e, (12)(34), (13)(24), (14)(23)} is a normal subgroup of S4. -
thesis.dvi
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/ac.pdf5 Jun 2020: nements 19. 2.1 Known Results. 19. 2.2 Allowing Distortion. 24. 2.3 Large Deviations. -
Lent Term 2020 T.A. Fisher Groups Rings and Modules: ...
https://www.dpmms.cam.ac.uk/study/IB/GroupsRings%2BModules/2019-2020/grm-20-3.pdf24 Feb 2020: X4 2X 2, X4 18X2 24, X3 9, X3 X2 X 1, X4 1, X4 4. ... T.A.Fisher@dpmms.cam.ac.uk - 1 - 24 February 2020. 11. Let Fq be a finite field with q elements. -
Multiresolution lossless/lossy compression and storage of data for…
https://www.dpmms.cam.ac.uk/~ik355/patent.html5 Jun 2020: 24. The system of claim 23, wherein said means for lossily encoding comprises a quantizer adapted to quantize said data according to at least one specified criterion. ... 25. The system of claim 24, wherein said quantizer provides a plurality of subbands -
Estimating the Entropy Rate of Spike Trains Yun GaoDiv. ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/spikes-CISS.pdf5 Jun 2020: In-form. Theory, 24:530–536, 1978. 3. -
talk.dvi
https://www.dpmms.cam.ac.uk/~ik355/AWMCMC/AWMCMC_talks/IK.pdf6 Jun 2020: Which Spectrum? I. KontoyiannisAthens U. of Econ & Business. joint work with S.P. Meyn. University of Illinois/Urbana-Champaign. Athens Workshop on MCMC Convergence and Estimation. 1. Outline. Motivation. In general:Geometric ergodicity spectral gap -
Lent Term 2020 T.A. Fisher Groups Rings and Modules: ...
https://www.dpmms.cam.ac.uk/study/IB/GroupsRings%2BModules/2019-2020/grm-20-1.pdf24 Jan 2020: T.A.Fisher@dpmms.cam.ac.uk - 1 - 24 January 2020. Further Questions. 11. Let p be a prime number. ... T.A.Fisher@dpmms.cam.ac.uk - 2 - 24 January 2020. -
Pattern Matching and Lossy Data Compression on Random Fields ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/RFS2.pdf5 Jun 2020: This. 2. result generalizes the corresponding bound of Steinberg and Gutman [24] for one-dimensionalsources. ... 24] Y. Steinberg and M. Gutman. An algorithm for source coding subject to a fidelity criterion,based upon string matching. -
MATHEMATICAL TRIPOS, PART II, 2020/2021REPRESENTATION THEORY EXAMPLE…
https://www.dpmms.cam.ac.uk/study/II/RepresentationTheory/2020-2021/IIRT2.pdf14 Oct 2020: 1 21 42 56 24 24α 14 2 0 1 0 0β 15 1 1 0 1 1γ 16 0 0 2 2 2. -
Lossless Compression with Moderate Error Probability
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/MDP.pdf5 Jun 2020: Previous work along theselines has been described in [24]–[29]. These studies reportthat error probability vanishes sub-exponentially fast, and theycharacterize the rate of this decay. ... 24] J. Chen, D.-k. He, A. Jagmohan and L. A. Lastras-Montaño, -
talk.dvi
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/mdl-msri.pdf5 Jun 2020: 24. Step 7. Applications: Preprocessing in VQ Design. Remarks. So far, everything based on “measures (random) codes” correspondencePractical implications? -
filtersurprise.dvi
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/filtering.pdf5 Jun 2020: Filtering: The Case for “Noisier” Data. B. Lucena I. Kontoyiannis†. August 24, 2005. -
The ODE Method and Spectral Theory of Markov Operators ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/hkm.pdf5 Jun 2020: Sadhana, 24(4-5):425{452, 1999. Chance as necessity. 8. V.S. Borkar and S.P. ... Sadhana, 24(4-5):369{423, 1999. Chance as necessity. 16. S.V. Hanly and D. -
Ek-algebras and homological stability
https://www.dpmms.cam.ac.uk/~or257/slides/eCHT.pdf16 Jan 2020: Figure 1: Hd(Γg,1, Γg1,1; Q);? means unknown,? means not zero. Non-zero groups: use results of Faber, Kontsevich, Morita.24. -
The Complexity and Entropy of Literary Styles� I. Kontoyiannisy ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/english.pdf5 Jun 2020: In his landmark 1948 paper, [24], Shannon dened the entropy and the redundancy of a language,. ... 24] C.E. Shannon. A mathematical theory of communication. Bell System Technical J., 27:379{. -
Simulated Convergence Rates with Application to anIntractable…
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/CAMSAP.pdf5 Jun 2020: the latter in terms ofthe commonly used divergence measures, such as Kullback-Leibler divergence (KLD) and α-divergence, see [24]. ... dissertation, Kaiserslautern University of Technology, 2014. [24] Minka, T., “Divergence measures and message passing -
vt06final.dvi
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/vt.pdf5 Jun 2020: Γn(F) will be to obtain a bound on the deviationprobability (24) with an appropriately chosen shadowfunction D. ... Probab., 24(2):916–931, 1996. [17] P.W. Glynn and D. Ormoneit. Hoeffding’s inequality foruniformly ergodic Markov chains. -
paper.dvi
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/icassp.pdf5 Jun 2020: 0 0.5 1 1.5 2 2.5 3 3.50.24. 0.25. 0.26. 0.27. -
2000 Conference on Information Sciences and Systems, Princeton…
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/ciss00.pdf5 Jun 2020: References. [1] H. Akaike. Prediction and entropy. In A celebration of statis-tics, pages 1–24. -
466 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 51, NO. ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/poisson3J.pdf5 Jun 2020: 24], [6], manylarge-deviations results [12], [16], [13], the martingale conver-gence theorem [5], [6], and the Hewitt–Savage – law [29].See also the powerful comments in [18, pp. ... Statist. Plann. In-ference, vol. 92, no. 1–2, pp. 7–12, 2001. -
PubTeX output 1999.09.27:1044
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/lossyJ.pdf5 Jun 2020: for all. (24)Then, by the duality relationship (15) and the fact that. ... Inform.Theory, vol. 43, pp. 1439–1451, Sept. 1997. [24] H. Morita and K. -
Fisher Information, Compound PoissonApproximation, and the Poisson…
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/cpa-isit07.pdf5 Jun 2020: with mean λ;see also [10], [24]. ... 5, no. 6, pp.1021–1034, 1999. [24] F. Topsøe, “Maximum entropy versus minimum risk and applicationsto some classical discrete distributions,” IEEE Trans. -
Suppressing Covid-19:Public Health Policy and Effective Mass-Testing…
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/Covid_talk_slides.pdf11 Sep 2020: log. 10). days since exposure. For 24 hours in the beginningthe tests give different results,. -
Approximating a Diffusion by a Finite-State Hidden Markov Model ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/HMM.pdf5 Jun 2020: The proof is similar to the proof of Proposition 6.1 of [24]. ... The final equation follows from (24) and the definition of Dκ in (17). -
4228 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 56, NO. ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/UBthin.pdf5 Jun 2020: 3). (23). 4). (24). where. Observe that, since the Poisson-Charlier polynomials form an. ... 24] O. Johnson, “Log-concavity and the maximum entropy property of thePoisson distribution,” Stochastic Process. -
Entropy and the Law of Small Numbers I. Kontoyiannis∗ ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/poisson3.pdf5 Jun 2020: 3. the convergence of Markov chains [31][24][6], many large deviations results [12][16][13], themartingale convergence theorem [5][6], and the Hewitt-Savage 0-1 law [29]. ... 24] D.G. Kendall. Information theory and the limit-theorem for Markov chains -
Unified spatial diversity combining and power allocation for CDMA…
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/unifiedJ.pdf5 Jun 2020: 2) Selection Combining:To fulfill the SIR requirements inthe SC method, we use (24) to obtain. ... Vehicular Tech-nology Conf., Houston, TX, May 1999, pp. 1032–1036. [24] J. -
PubTeX output 2000.01.04:1054
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/redJ.pdf5 Jun 2020: Lemma 2: The infimum in (24) is achieved by. Proof of Lemma 2:Write (or ) for the collection. ... Taking in the infimum in (24), the result ofthe lemma follows from the following series of relations:. -
ms.dvi
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/ms.pdf5 Jun 2020: lim infn!1. pn infjj<. 1. n. nXi=1. [f(;Xi) f(0;Xi)] 0 ; (24). ... 24) and completes the proof. 2. 16. 5. Duality: Match Lengths. -
Compound Poisson Approximation via Information Functionals∗ A.D.…
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/BJKM.pdf5 Jun 2020: Department of Statistics, Yale University, 24 Hillhouse Avenue, New Haven CT 06511, USA. ... 24. 0 50 100 150 200. 0.0. 0.2. 0.4. 0.6. 0.8. -
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. XX, NO. Y, ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/sc.pdf5 Jun 2020: so that. Ik Lk R(D) /4. (24). Also pick a Wk Mk(Pk,Qk,D′) such that. ... Rep. 99-24, Department of Statistics, Purdue University, October 1999,[Available at www.stat.purdue.edu/people/yiannis]. -
Source coding exponents for zero-delay coding with finite memory -…
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/expsJ.pdf5 Jun 2020: Expandingas. (24). and arguing as in the proof of Theorem 1, the last summationcannot be smaller than the minimum of. ... It should be noted, in this. context, that [24, Theorem 3] also includes a result that can beinterpreted as a nonasymptotic -
Adaptive and non-linear MCMC algorithms
https://www.dpmms.cam.ac.uk/~ik355/AWMCMC/AWMCMC_talks/EM.pdf6 Jun 2020: 02. 46. 810. (b). 0 1 2 3 4 50. 24. -
PubTeX output 1998.04.07:1011
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/suhov2.pdf5 Jun 2020: i. i= log iconverge with probability one, but Pittel [19] and Szpankowski[24] have shown that the quantitiesnn= log n themselves keepfluctuating. ... Inform. Theory, vol. 41, pp.508–512, Mar. 1995. [24] W. Szpankowski, “Asymptotic properties of data -
hyb.dvi
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/hyb.pdf5 Jun 2020: A simulation-based iterative algorithm is presented in [24] and it is shown to becompression-optimal, although its complexity is hard to evaluate precisely as it depends onthe convergence of a ... 5 Note that the memory usage of HYB can be reduced -
Control Variates for Reversible MCMC Samplers
https://www.dpmms.cam.ac.uk/~ik355/AWMCMC/AWMCMC_talks/PD.pdf6 Jun 2020: 24. Prior: Flat improper prior on β R7. Sampling: Standard Bayesian inference via MCMC performed either by a Gibbs sampler (full. -
thesis.dvi
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/intro.pdf5 Jun 2020: already in Doeblin's work on continued fractions in 1940 [24], in Bellman and Harris'. -
Arbitrary source models and bayesian codebooks in rate-distortion…
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/bayesJ.pdf5 Jun 2020: bits (24). Finally, a 1-bit flag is added to tell the decoder which of thetwo cases ( or ) occurred. ... 24, Theorem 10.2]). Therefore,the neighborhoods contain nonempty open sets andhence have positive Lebesgue measure. -
Diffeomorphisms of discs
https://www.dpmms.cam.ac.uk/~or257/slides/MIT2020.pdf14 Sep 2020: 54. 56. 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 ... 44. 46. 48. 50. 52. 54. 56. 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 -
Source coding, large deviations, and approximate pattern matching -…
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/TRJ.pdf5 Jun 2020: is the entropy rate of the source—see Shannon’s original paper[74, Theorem 3] or Cover and Thomas’ text [24, Ch. ... Since thereare at most polynomially many-types (cf. [25], [24]), the rateof the description of a) is asymptotically negligible. -
1 Estimation of the Rate-Distortion Function Matthew T. Harrison, ...
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/pluginRDjournal.pdf5 Jun 2020: The tools we employ to analyze convergence are based on thetechnique of epigraphical convergence [24] [25] (this is particularlyclear in the proof of our main result, the lower bound in Theorem ... Theory, vol. 48, pp.1590–1615, June 2002. [24] G. -
E-algebras and general linear groups
https://www.dpmms.cam.ac.uk/~or257/slides/Bonn.pdf27 Apr 2020: 24. E-homology. Combining the vanishing line for E-homology with calculations ofSuslin for GL2(A), we obtain the following chart for E-homology:. -
ΣΤΟΙΧΕΙΑ ΠΙΘΑΝΟΤΗΤΩΝ ΜΕ ΕΦΑΡΜΟΓΕΣ ΣΤΗ ΣΤΑΤΙΣΤΙΚΗ ΚΑΙ ΤΗΝ ΠΛΗΡΟΦΟΡΙΚΗ…
https://www.dpmms.cam.ac.uk/~ik355/PAPERS/Prob_h.pdf5 Jun 2020: ΣΤΟΙΧΕΙΑ ΠΙΘΑΝΟΤΗΤΩΝ. ΜΕ ΕΦΑΡΜΟΓΕΣ ΣΤΗ ΣΤΑΤΙΣΤΙΚΗ ΚΑΙ ΤΗΝ ΠΛΗΡΟΦΟΡΙΚΗ. Γιάννης Κοντογιάννης Σταύρος Τουμπής. Γιάννης -
CONSTRUCTING THE COTANGENT COMPLEX VIA HOMOTOPICAL ALGEBRA RONG ZHOU…
https://www.dpmms.cam.ac.uk/~rz240/Model_categories.pdf22 Oct 2020: CONSTRUCTING THE COTANGENT COMPLEX VIA. HOMOTOPICAL ALGEBRA. RONG ZHOU. Contents. 1. Introduction 11.1. Notations and Conventions 32. Definition of a Model Category 33. The Homotopy Category 54. Examples: Topological spaces and chain complexes 145. -
Profinite GroupsLectures by Gareth WilkesNotes by Alexis Marchand…
https://www.dpmms.cam.ac.uk/~aptm3/docs/lecture-notes/PartIII-ProfiniteGroups.pdf10 Jun 2020: 2.5 Generators of profinite groupsDefinition 2.24 (Topological generating set). Let G be a topological group. ... Corollary 3.24 (Basic Correspondence). Let G1,G2 be finitely generated and residually finite groupssuch that Ĝ1 = Ĝ2. -
MOD-p ISOGENY CLASSES ON SHIMURA VARIETIES WITH PARAHORIC LEVEL ...
https://www.dpmms.cam.ac.uk/~rz240/Mod-p_isog2.pdf22 Oct 2020: MOD-p ISOGENY CLASSES ON SHIMURA VARIETIES WITH PARAHORIC. LEVEL STRUCTURE. RONG ZHOU. Abstract. We study the special fiber of the integral model for Shimura varieties of Hodge type. with parahoric level structure constructed by Kisin and Pappas in -
Category TheoryLectures by Peter JohnstoneNotes by Alexis Marchand…
https://www.dpmms.cam.ac.uk/~aptm3/docs/lecture-notes/PartIII-CategoryTheory.pdf8 Jun 2020: Example 1.24. (i) In Set, monic is equivalent to injective and epic is equivalent to surjective.The category Set is balanced.
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