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  2. Probability, an Introduction

    www.statslab.cam.ac.uk/~grg/books/probint.html
    11 Jun 2021: page 255: Solution 1.46(b): n should be m. page 256: Solution 5.54(b): e should be x. ... All these corrections have been made in the second printing, now on sale.
  3. MATHEMATICAL TRIPOS: PART IA Lent 2024 PROBABILITY JRNExample Sheet…

    www.statslab.cam.ac.uk/~james/Lectures/pex1.pdf
    20 Dec 2023: Set. A = {ω : ω An infinitely often}, B = {ω : ω An for all sufficiently large n}. ... Calculate the probability thatm given people will all be on the committee (a) directly, (b) using the inclusion-exclusion formula.Deduce that (. n mr m. )=. mj=0.
  4. /Users/perlasousi/Dropbox (Cambridge…

    www.statslab.cam.ac.uk/~ps422/pex1.pdf
    20 Jan 2021: Set. A = {ω : ω An infinitely often}, B = {ω : ω An for all sufficiently large n}. ... P(Xn = 0) 12π. h. (b) Show further that, for all x R,.
  5. MATHEMATICAL TRIPOS: PART IA Lent 2024 PROBABILITY JRNExample Sheet…

    www.statslab.cam.ac.uk/~james/Lectures/pex3.pdf
    20 Dec 2023: a) Show that, for all p (0, ) and all x (0, ),. P(|X| x) E(|X|p)xp. (b) Show that, for all β 0,P(X x) E(eβX)eβx. ... 3. Let X be a Poisson random variable of parameter λ (0, ). (a) By optimizing the estimate of Question 2(b) over β, show that, for
  6. /Users/perlasousi/Dropbox (Cambridge…

    www.statslab.cam.ac.uk/~ps422/pex3.pdf
    20 Jan 2021: a) Show that, for all p (0, ) and all x (0, ),. P(|X| x) E(|X|p)xp. (b) Show that, for all β 0,P(X x) E(eβX)eβx. ... 3. Let X be a Poisson random variable of parameter λ (0, ).(a) By optimizing the estimate of Question 2(b) over β, show that, for
  7. Michaelmas 2019 JRN STOCHASTIC FINANCIAL MODELS Example Sheet 4 ...

    www.statslab.cam.ac.uk/~james/Lectures/sfmex4.pdf
    17 Oct 2019: b) Hence show that, for all such claims C, the no-arbitrage time-0 price is given by erTE(C)where P is an equivalent probability measure on FT , to be ... a) Write down the value of Y. (b) Fix α > 0 and set S′t = eαtSt and Y. ′ =
  8. Mixing Times of Markov Chains, Michaelmas 2020.…

    www.statslab.cam.ac.uk/~ps422/ex-mixing-2.pdf
    16 Nov 2020: PB(x, y) = P(x, y for x, y B)) is irreducible, in thesense that for all x, y B, there exists n 0 such that P nB(x, y) > 0. ... PπB (τA > t) =k. i=1. aiγti,. where πB(x) = π(x)/π(B) for all x B.
  9. Mixing Times of Markov Chains, Michaelmas 2020.…

    www.statslab.cam.ac.uk/~ps422/ex-mixing-1.pdf
    16 Nov 2020: P(Y = j) c, for all j > 0 and P(Y = j) is decreasing in j,. ... Prove that for all ε < 1/2 we have. tmix(ε) D/2.
  10. JRN Michaelmas 2021 Advanced Probability 1 1.1 Let X,Y ...

    www.statslab.cam.ac.uk/~james/Lectures/apex1.pdf
    3 Oct 2021: Consider the followingconditions. (a) T n for some n 0,(b) there is a constant C < such that |Xn| C for all n T almost surely,(c) E(T) < and there ... is a constant C < such that |Xn1 Xn| C for all n < T.
  11. Michaelmas 2019 JRN STOCHASTIC FINANCIAL MODELS Example Sheet 2 ...

    www.statslab.cam.ac.uk/~james/Lectures/sfmex2.pdf
    7 Oct 2019: b) Consider the case p = 1/2. Use the optional stopping theorem to show that, for all n 0,. ... c) Show directly that the initial value of the replicating portfolio in (b) is given by E(C)/(1 r)for all equivalent martingale measures P.
  12. MATHEMATICS OF MACHINE LEARNING Part IIExample Sheet 2 (of ...

    www.statslab.cam.ac.uk/~rds37/teaching/machine_learning/Qu2.pdf
    20 Feb 2024: 3. Let F be the set of all polynomials of degree at most 2 on X = Rp. ... Then g : Rm R. given by g(x) = f(Ax b) is a convex function.(c) Let Cα Rd be convex for all α I where I is some index set.
  13. Michaelmas 2019 JRN STOCHASTIC FINANCIAL MODELS Example Sheet 3 ...

    www.statslab.cam.ac.uk/~james/Lectures/sfmex3.pdf
    16 Oct 2019: Write Xn for the dis-counted price Sn/S. 0n. Let P̃ be an equivalent probability measure such that Ẽ(|Xn|) < for all n. ... Set Ta = inf{t 0 : Bt = a}. Use the optionalstopping theorem to show that, for all λ 0,.
  14. Percolation and Random Walks on Graphs, Michaelmas 2018.…

    www.statslab.cam.ac.uk/~ps422/ex-perc-1.pdf
    16 Oct 2018: znσn and B(z) =n0. znbn. 1. Show that χ(z) z1 exp (2B(z) 2) for all z 0. ... 4. Show that B((1 )/κ) 1. 5. Conclude that there exists a positive constant c so that σn exp (cn) κn for all n 0.
  15. Percolation and Random Walks on Graphs, Michaelmas 2018.…

    www.statslab.cam.ac.uk/~ps422/ex-perc-2.pdf
    16 Oct 2018: 4. Consider simple random walk on the binary tree of depth k with n = 2k1 1 vertices(the root has degree two and all other nodes except for the leaves have ... 14. Let G be a locally finite graph. Show that all trees of the free and the wired
  16. Discussion of Large Covariance Estimation by Thresholding Principal…

    www.statslab.cam.ac.uk/~rjs57/YuSamworthDisc.pdf
    3 Sep 2013: Assumption 1’. All the eigenvalues of the K K matrix pαB′B are bounded away from both 0and as p , where 0 < α < 1. ... To examine the effect of missing the Kth common factor, assume (2.1) and that rank(BB) = K,but the estimator is.
  17. MATHEMATICS OF MACHINE LEARNING Part IIExample Sheet 3 (of ...

    www.statslab.cam.ac.uk/~rds37/teaching/machine_learning/Qu3.pdf
    17 Jan 2024: xπ)>(z π) 0 for all z C. 4. Show that ‖β‖1 = {b : for each j,bj [1, 1] and bj = sgn(βj) if βj 6= 0}. ... c) Let. H =. {Mm=1. βmhm : ‖β‖1 1, hm B for m = 1,.
  18. JPM Michaelmas 2016 Probability and Measure 1 1.1. Let ...

    www.statslab.cam.ac.uk/~jpm205/teaching/mich2016/ex1.pdf
    10 Oct 2016: algebra. 1.2. Show that the following sets of subsets of R all generate the same σ-algebra:(a) {(a,b) : a < b}, (b) {(a,b] : a < b}, (c) {(,b] : b ... Show that. (a) C is uncountable and has Lebesgue measure 0,(b) for all x [0, 1], the limit F(x) =
  19. 13 Feb 2015: I. P(A) 0 for all A ”. 6. (i) If A,B,C are three events, show that. ... Calculate the probability that mgiven people will all be on the committee (a) directly, and (b) using the inclusion-exclusion formula.Deduce that (. nmr m. )=. mj=0. (1)j(m. j.
  20. JRN Michaelmas 2009 Probability and Measure 1 1.1 Let ...

    www.statslab.cam.ac.uk/~james/Lectures/pmex1.pdf
    2 Oct 2009: algebra. 1.2 Show that the following sets of subsets of R all generate the same σ-algebra:(a) {(a, b) : a < b}, (b) {(a, b] : a < b}, (c) {(, b] : b ... Show. that E(X̄n) = 0 for all n, but that X̄n 1 almost surely as n.
  21. Confounder Selection via Iterative Graph Expansion Qingyuan Zhao…

    www.statslab.cam.ac.uk/~qz280/talk/lse-2024/slides.pdf
    3 Jun 2024: adjustment set for A, B given S′ in G. Then every element in the output ofConfounderSelect(X, Y ) is a sufficient adjustment set for (X, Y ). 2 Completeness (all minimal primary ... all minimal sufficiency): Suppose further thatFindPrimary((A, B); S′)
  22. Japan2012.dvi

    www.statslab.cam.ac.uk/~rjs57/Japan2012.pdf
    21 Sep 2012: P{k Ŝn/2(A1) Ŝn/2(A2)}. over all complementary pairs A1, A2. R. J. ... for all τ (θ, 1]. (We take D(, t, , ) = 1 for t 0.).
  23. STOCHASTIC CALCULUS, LENT 2016, EXAMPLE SHEET 3 Please send ...

    www.statslab.cam.ac.uk/~jpm205/teaching/lent2016/example_sheet3.pdf
    22 Feb 2016: Show that if Zt = dQdP |Ft for all 0 t T, then Z is a non-negative P-martingale.Assuming that it is strictly positive almost surely and continuous, what can ... Show that theprocess. f(Xt) t0b(Xs)f. ′(Xs) 1. 2σ2(Xs)f. ′′(Xs)ds. is a local
  24. Example sheet 1 1 Conditional expectation Exercise 1.1. Let ...

    www.statslab.cam.ac.uk/~ps422/examples1.pdf
    16 Oct 2013: Show thatit converges a.s. and in Lp for all p 1 to a [0, 1]-valued random variable X. ... If he wins, he receives $26 all of which he bets on the event that.
  25. Confounder Selection via (Iterative) Graph Expansion Qingyuan Zhao…

    www.statslab.cam.ac.uk/~qz280/talk/pcic-2023/slides.pdf
    3 Jun 2024: adjustment set for A, B given S′ in G. Then every element in the output ofConfounderSelect(X, Y ) is a sufficient adjustment set for (X, Y ). 2 Completeness (all minimal primary ... all minimal sufficiency): Suppose further thatFindPrimary((A, B); S′)
  26. STOCHASTIC CALCULUS, LENT 2016, EXAMPLE SHEET 1 Please send ...

    www.statslab.cam.ac.uk/~jpm205/teaching/lent2016/example_sheet1.pdf
    24 Jan 2016: Show that Ht is Ft -measurable for all t (0,),where Ft = σ(Fs : s < t).Problem 7. ... In particular, if B(1) and B(2) are the coordinates of a standard Brownian motion in R2,this shows that [B(1),B(2)]t = 0 for all t 0.
  27. Cambridge2012.dvi

    www.statslab.cam.ac.uk/~rjs57/Cambridge2012.pdf
    21 Sep 2012: P{k Ŝn/2(A1) Ŝn/2(A2)}. over all complementary pairs A1, A2. R. J. ... for all τ (θ, 1]. (We take D(, t, , ) = 1 for t 0.).
  28. STATISTICAL MODELLING Part IICExample Sheet 3 (of 4) RDS/Lent ...

    www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Qu3.pdf
    9 Mar 2015: Wii =1. aiV (µi){g′(µi)}2,. (you need not specify i(σ2), and you may assume /βjσ2 = /σ2βj for all j). ... If Z Beta(a,b) then. E(Z) =a. a b, Var(Z) =. ab.
  29. ITC 12 Torino, June 1988 Dynamic Alternative Routing - ...

    www.statslab.cam.ac.uk/~frank/PAPERS/darmb.pdf
    4 Oct 2023: and with circuits dimensioned to a nominal 1% gos. Thus for this network, traffic to destination A goes via one ISC, whilst that to B has access to all 4 ... In this example all routes use two links, and trunk reservation is less critical than in the
  30. STATISTICAL MODELLING Part IICExample Sheet 1 (of 4) RDS/Lent ...

    www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Qu1.pdf
    7 Feb 2015: Show that for all v Rn, ‖v‖2 ‖ΠWv‖2 ‖ΠV v‖2. (b) Consider the linear model (1) but where only the first p0 components of β are non-zero. ... Now prove that if A1,. ,Am and B1,. ,Bm are all independent real-valuedrandom variables and A1 B1,.
  31. MR Data Challenge 2019 — The role of lipoprotein subfractions in…

    www.statslab.cam.ac.uk/~qz280/talk/mr-raps-markdown/report.pdf
    3 Jun 2024: out$pval.sel <- pval.sel. out.all <- rbind(out.all, out)}. 6. Qingyuan Zhao. Qingyuan Zhao. ... library(ggplot2). ggplot(out.all) aes(x = method, y = b, ymin = b - 1.96 se, ymax = b 1.96 se,col = pval.adjusted < 0.05).
  32. 2 Dec 2015: Let Fq be the set of functionsf : Q C such that, for all integers m, n 0,. ... Let T be the subset of V. containing all vertices joined to S by open paths, and write ωT for theconfiguration ω restricted to T.
  33. 2-nhb.dvi

    www.statslab.cam.ac.uk/~grg/books/hammfest/2-nhb.pdf
    22 Mar 2024: n ) (E(λ)) for some (all) λ > 0,(iii) Xn µ a.s. ... All remainders are power series,so may be differentiated term-wise. The exponential estimates obtainedabove are at worst multiplied by polynomials.
  34. Towards Reliable Inference for Precision Medicine

    www.statslab.cam.ac.uk/~qz280/talk/jsm-2021/slides.pdf
    3 Jun 2024: Unmeasured confoudnersI Define r1 Γ,δ r2 if V (r2) V (r1) > δ for all distributions in the Γ-sensitivity model. ... 1. What is the ordering of all the ITRs? 2. Which ITRs are among the best?
  35. 27 Sep 2021: process of rate The link comprises C circuits and a callis blocked and lost if all C circuits are occupied Otherwise the call isaccepted and occupies a single circuit for the ... during a recent joint project involving Richard Gibbens RhodriGriths Peter
  36. 26 Oct 2011: B(x,r δ) π(C(π1(x),r)) B(x,r δ), for all R > R0. (2.5). ... Also for all A π1(B(0,K)) we have that. µ(A) vol(π(A)) 0, as R.
  37. PARALLEL SHIFTS OF AT-THE-MONEY IMPLIEDVOLATILITY MICHAEL R.…

    www.statslab.cam.ac.uk/~mike/papers/ATM-IV.pdf
    21 Dec 2009: a b). ab. which holds for all a,b 0, yields. log E(Stτ 1). [ ... lim supτ. Σt(τ,k1) Σs(τ,k2) 0 a.s. was shown in [7] to hold for all all k1,k2 R and 0 s t.
  38. WIAS2013.dvi

    www.statslab.cam.ac.uk/~rjs57/WIAS2013.pdf
    3 Feb 2013: over all densities f. February 3, 2013- 5. R. J. Samworth Log-concavity. ... Consider maximising over all log-concave functions. ψn(f) =1. n. n. i=1.
  39. 24 Apr 2015: For proba-bility spaces Xi = (i,Fi,Pi), a mapping φ : 1 2 is said to be measure preserving(from X1 to X2) if, for all B2 F2, the inverse image ... Since Bk G′ for. all k, we have G G′. Conversely, since ψ is a sum of G-measurable functions, it
  40. Machine Learning meets Biostatistics IIA crash course on Causal ...

    www.statslab.cam.ac.uk/~qz280/talk/ccaim-summer-school-2022/slides.pdf
    3 Jun 2024: Under H0, we may impute all the potential outcomes by Yi (0) = Yi (1) = Yi. ... Blocking all paths conditional independence. A. B C. (a) Formula YABC A B C.
  41. Mixing times and moving targets Perla Sousi∗ Peter Winkler† ...

    www.statslab.cam.ac.uk/~ps422/moving-fixed2.pdf
    21 Nov 2012: Then for alltimes t, all starting states b and all sets Di Zdn we have. ... Since the graph is transitive, it follows that for all clusters i and all a,b.
  42. CHARACTERIZING ATTAINABLE CLAIMS: A NEW PROOF MICHAEL R. TEHRANCHI ...

    www.statslab.cam.ac.uk/~mike/papers/attainable.pdf
    26 Aug 2010: for all open balls B Rd, where Qd is the countable set of vectors in Rd with rationalcoordinates. ... Lemma 3.1. Consider a sequence of measurable functions ξn : B Rd such that supn |ξn(ω)| < for all ω B.
  43. Sparsity

    www.statslab.cam.ac.uk/~rds37/papers/MATTER_talk_Rajen.pdf
    18 May 2015: Random-sign hashing. Choose random sign assignments {1,. ,p}{1, 1} : k 7 Ψklindependently for all columns l = 1,. ... Example: When X is binary κ(δ) = 1/δ effectively scales all xi to.
  44. Unco rrecte d Pr oof Non-Coupling from the Past ...

    www.statslab.cam.ac.uk/~grg/papers/cftp-pub.pdf
    15 Jan 2021: F t (i) =. F t (j ) for all i = j and t 1.(b) If (F1(i) : i S) are independent and uniformly distributed on S, then. ... Furthermore,. kt (. f ) = k(f ) and kt (. f ) = k(f ) for all large t.(b) Let F = (Fs : s N) be independent and identically
  45. PLAQUETTES, SPHERES, AND ENTANGLEMENT GEOFFREY R. GRIMMETT AND…

    www.statslab.cam.ac.uk/~grg/papers/USsphere11.pdf
    17 Aug 2010: and for all v I(Ka,b),. Pp(v oo in Ka,b) > 0. ... and for all v I(Ka,b),. Pp(v a in Ka,b) > 0.
  46. 14 Mar 2012: k and V. 1m = B. 1m for all m. Continuing in the same way, i.e. ... uniformly in the ball B(0,R). Using Lemma 4.1 we deduce that, for all k,.
  47. EUROPEAN APPORTIONMENT VIA THECAMBRIDGE COMPROMISE GEOFFREY R.…

    www.statslab.cam.ac.uk/~grg/papers/USep4.pdf
    22 Aug 2011: 3. adjust the divisor d in such a way that the sum of the seatnumbers of all Member States equals the given Parliament-size. ... 2. Suppose, at some stage, that State i has been allocated ai seatsin all.
  48. Abstract

    www.statslab.cam.ac.uk/~rrw1/abstracts/c01a.html
    20 Sep 2011: Kenyon, J.B. Orlin, P.W. Shor and R.R. Weber. , in Proc. ... In addition, we present a ran- domized O(nB log B)-time on-line algorithm SS , based on SS, whose expected behavior is essentially optimal for all discrete distributions.
  49. CAN THE IMPLIED VOLATILITY SURFACE MOVE BY PARALLELSHIFTS? L. ...

    www.statslab.cam.ac.uk/~mike/papers/parallel-shifts.pdf
    2 Sep 2008: v η(v). where |δ(v)| 0 as τ , and there exist constants A and B such that |η(v)| AB log(v)for all large enough τ. ... E[( Stτ. St K. )|Ft] = E[(Sτ K)].for almost all K > 0.
  50. Lattice embeddings in percolation

    www.statslab.cam.ac.uk/~grg/papers/AOP615.pdf
    9 Jan 2012: Proposition 4(a) extendsTheorem 1(b) to more general configurations than the all-1 configuration. ... a) all sites in [[1, n]]d1 {1} have color ;(b) all sites in [[1, n]]d1 {m} have color ; and(c) no site of color is adjacent in G to
  51. 27 Jul 2012: E[(vol(Va(I,δ))). 2] 2E[vol(Va(I,δ))]2. (6.4). For all x define τx = inf{t I : Xt at B(x,δ)}. ... that for all ε sufficiently small. vol({Ψ > 0}) 12 log(1/ε).

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