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Probability, an Introduction
www.statslab.cam.ac.uk/~grg/books/probint.html11 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. -
MATHEMATICAL TRIPOS: PART IA Lent 2024 PROBABILITY JRNExample Sheet…
www.statslab.cam.ac.uk/~james/Lectures/pex1.pdf20 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. -
/Users/perlasousi/Dropbox (Cambridge…
www.statslab.cam.ac.uk/~ps422/pex1.pdf20 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,. -
MATHEMATICAL TRIPOS: PART IA Lent 2024 PROBABILITY JRNExample Sheet…
www.statslab.cam.ac.uk/~james/Lectures/pex3.pdf20 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 -
/Users/perlasousi/Dropbox (Cambridge…
www.statslab.cam.ac.uk/~ps422/pex3.pdf20 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 -
Michaelmas 2019 JRN STOCHASTIC FINANCIAL MODELS Example Sheet 4 ...
www.statslab.cam.ac.uk/~james/Lectures/sfmex4.pdf17 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. ′ = -
Mixing Times of Markov Chains, Michaelmas 2020.…
www.statslab.cam.ac.uk/~ps422/ex-mixing-2.pdf16 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. -
Mixing Times of Markov Chains, Michaelmas 2020.…
www.statslab.cam.ac.uk/~ps422/ex-mixing-1.pdf16 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. -
JRN Michaelmas 2021 Advanced Probability 1 1.1 Let X,Y ...
www.statslab.cam.ac.uk/~james/Lectures/apex1.pdf3 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. -
Michaelmas 2019 JRN STOCHASTIC FINANCIAL MODELS Example Sheet 2 ...
www.statslab.cam.ac.uk/~james/Lectures/sfmex2.pdf7 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. -
MATHEMATICS OF MACHINE LEARNING Part IIExample Sheet 2 (of ...
www.statslab.cam.ac.uk/~rds37/teaching/machine_learning/Qu2.pdf20 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. -
Michaelmas 2019 JRN STOCHASTIC FINANCIAL MODELS Example Sheet 3 ...
www.statslab.cam.ac.uk/~james/Lectures/sfmex3.pdf16 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,. -
Percolation and Random Walks on Graphs, Michaelmas 2018.…
www.statslab.cam.ac.uk/~ps422/ex-perc-1.pdf16 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. -
Percolation and Random Walks on Graphs, Michaelmas 2018.…
www.statslab.cam.ac.uk/~ps422/ex-perc-2.pdf16 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 -
Discussion of Large Covariance Estimation by Thresholding Principal…
www.statslab.cam.ac.uk/~rjs57/YuSamworthDisc.pdf3 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(B′B) = K,but the estimator is. -
MATHEMATICS OF MACHINE LEARNING Part IIExample Sheet 3 (of ...
www.statslab.cam.ac.uk/~rds37/teaching/machine_learning/Qu3.pdf17 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,. -
JPM Michaelmas 2016 Probability and Measure 1 1.1. Let ...
www.statslab.cam.ac.uk/~jpm205/teaching/mich2016/ex1.pdf10 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) = -
MATHEMATICAL TRIPOS: PART IA Lent 2015 PROBABILITY RRWExample Sheet…
www.statslab.cam.ac.uk/~rrw1/prob/exprob1.pdf13 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. -
JRN Michaelmas 2009 Probability and Measure 1 1.1 Let ...
www.statslab.cam.ac.uk/~james/Lectures/pmex1.pdf2 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. -
Confounder Selection via Iterative Graph Expansion Qingyuan Zhao…
www.statslab.cam.ac.uk/~qz280/talk/lse-2024/slides.pdf3 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′) -
Japan2012.dvi
www.statslab.cam.ac.uk/~rjs57/Japan2012.pdf21 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.). -
STOCHASTIC CALCULUS, LENT 2016, EXAMPLE SHEET 3 Please send ...
www.statslab.cam.ac.uk/~jpm205/teaching/lent2016/example_sheet3.pdf22 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 -
Example sheet 1 1 Conditional expectation Exercise 1.1. Let ...
www.statslab.cam.ac.uk/~ps422/examples1.pdf16 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. -
Confounder Selection via (Iterative) Graph Expansion Qingyuan Zhao…
www.statslab.cam.ac.uk/~qz280/talk/pcic-2023/slides.pdf3 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′) -
STOCHASTIC CALCULUS, LENT 2016, EXAMPLE SHEET 1 Please send ...
www.statslab.cam.ac.uk/~jpm205/teaching/lent2016/example_sheet1.pdf24 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. -
Cambridge2012.dvi
www.statslab.cam.ac.uk/~rjs57/Cambridge2012.pdf21 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.). -
STATISTICAL MODELLING Part IICExample Sheet 3 (of 4) RDS/Lent ...
www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Qu3.pdf9 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. -
ITC 12 Torino, June 1988 Dynamic Alternative Routing - ...
www.statslab.cam.ac.uk/~frank/PAPERS/darmb.pdf4 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 -
STATISTICAL MODELLING Part IICExample Sheet 1 (of 4) RDS/Lent ...
www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Qu1.pdf7 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,. -
MR Data Challenge 2019 — The role of lipoprotein subfractions in…
www.statslab.cam.ac.uk/~qz280/talk/mr-raps-markdown/report.pdf3 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). -
CORRELATION INEQUALITIES FOR THE POTTS MODEL GEOFFREY R. GRIMMETT ...
www.statslab.cam.ac.uk/~grg/papers/gks.pdf2 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. -
2-nhb.dvi
www.statslab.cam.ac.uk/~grg/books/hammfest/2-nhb.pdf22 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. -
Towards Reliable Inference for Precision Medicine
www.statslab.cam.ac.uk/~qz280/talk/jsm-2021/slides.pdf3 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? -
Mathematical models of multiservice networks F�P� Kelly University of …
www.statslab.cam.ac.uk/~frank/PAPERS/ima.pdf27 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 -
An isoperimetric inequality for the Wiener sausage Yuval Peres∗ ...
www.statslab.cam.ac.uk/~ps422/wienergafa.pdf26 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. -
PARALLEL SHIFTS OF AT-THE-MONEY IMPLIEDVOLATILITY MICHAEL R.…
www.statslab.cam.ac.uk/~mike/papers/ATM-IV.pdf21 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. -
WIAS2013.dvi
www.statslab.cam.ac.uk/~rjs57/WIAS2013.pdf3 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. -
Applied Probability Trust (24 April 2015) INFLUENCE IN PRODUCT ...
www.statslab.cam.ac.uk/~grg/papers/gjn5.pdf24 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 -
Machine Learning meets Biostatistics IIA crash course on Causal ...
www.statslab.cam.ac.uk/~qz280/talk/ccaim-summer-school-2022/slides.pdf3 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. -
Mixing times and moving targets Perla Sousi∗ Peter Winkler† ...
www.statslab.cam.ac.uk/~ps422/moving-fixed2.pdf21 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. -
CHARACTERIZING ATTAINABLE CLAIMS: A NEW PROOF MICHAEL R. TEHRANCHI ...
www.statslab.cam.ac.uk/~mike/papers/attainable.pdf26 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. -
Sparsity
www.statslab.cam.ac.uk/~rds37/papers/MATTER_talk_Rajen.pdf18 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. -
Unco rrecte d Pr oof Non-Coupling from the Past ...
www.statslab.cam.ac.uk/~grg/papers/cftp-pub.pdf15 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 -
PLAQUETTES, SPHERES, AND ENTANGLEMENT GEOFFREY R. GRIMMETT AND…
www.statslab.cam.ac.uk/~grg/papers/USsphere11.pdf17 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. -
The Isolation Time of Poisson Brownian Motions Yuval Peres∗ ...
www.statslab.cam.ac.uk/~ps422/isolation.pdf14 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,. -
EUROPEAN APPORTIONMENT VIA THECAMBRIDGE COMPROMISE GEOFFREY R.…
www.statslab.cam.ac.uk/~grg/papers/USep4.pdf22 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. -
Abstract
www.statslab.cam.ac.uk/~rrw1/abstracts/c01a.html20 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. -
CAN THE IMPLIED VOLATILITY SURFACE MOVE BY PARALLELSHIFTS? L. ...
www.statslab.cam.ac.uk/~mike/papers/parallel-shifts.pdf2 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. -
Lattice embeddings in percolation
www.statslab.cam.ac.uk/~grg/papers/AOP615.pdf9 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 -
Hunter, Cauchy Rabbit, and Optimal Kakeya Sets Yakov Babichenko1, ...
www.statslab.cam.ac.uk/~ps422/cop-robber2.pdf27 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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