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  2. Thomas Bond Sprague Prize - Winners | Statistical Laboratory

    www.statslab.cam.ac.uk/thomas-bond-sprague-prize-winners
    7 Jun 2024: B.B. He (Queens' College) and M.Lehmkuehler (Girton College). ... T. Assiotis (Trinity College) and T. B. Berrett (Gonville and Caius College).
  3. Probability and Random Processes, 4e

    www.statslab.cam.ac.uk/~grg/books/prp5.html
    3 May 2024: Now let Z_n be bin(n, p), independent of B which is Bernoulli ber(p). ... By the result of Exercise 3.6.5,. H(Z_n1) = H(Z_n B) >= H(Z_n B|B) = H(Z_n|B) = H(Z_n).
  4. CHURCHILL COLLEGEUNIVERSITY OF CAMBRIDGE ROLLO DAVIDSON TRUST Thomas…

    www.statslab.cam.ac.uk/files/Rollo/spragueaward18.pdf
    28 Apr 2021: B.B. He of Queens’ College. for distinguished performance in the areas of optimisation and statistics.
  5. 25 Nov 2002: lXb } K<M-:K ¡ f RS%a TVZ } r<µ v SB5XUR Wub$Q$RYo v b:ZQ$iRQ$a_RTV_O-TVRbYVZS m &K p p TVZ ª p3 &K p d p &K ... à ¤¤n¤Â p¿ pK p ¡ p pp K pp -K p ¤Å b:ZfToTVZ&iWb v RbP a-n_ Q$nRfWeFWRS%a Æp g p K YVS%_QFRWnWRW K/Ç rnS%_ :ZQWZh
  6. MATHEMATICS OF MACHINE LEARNING Part IIExample Sheet 1 (of ...

    www.statslab.cam.ac.uk/~rds37/teaching/machine_learning/Qu1.pdf
    9 Feb 2024: Use thematrix identity. (A bb>)1 = A1 A1bb>A1. 1 b>A1b. 1. ... a b>. b M. )1=. (s1 s1b>M1. s1M1b M1 s1M1bb>M1),. where s := a b>M1b > 0 provided the matrix on the left is indeed invertible. ].
  7. Multiple conditional randomization tests

    www.statslab.cam.ac.uk/~qz280/talk/ims-2022/slides.pdf
    14 May 2024: B. B. B. B. BB B. D. D. D. D. D. ... 24117–24126 (2020).5. T. B. Berrett, Y. Wang, R. F. Barber, R.
  8. Discussion of Large Covariance Estimation by Thresholding Principal…

    www.statslab.cam.ac.uk/~rjs57/YuSamworthDisc.pdf
    3 Sep 2013: 1. Table 1: For the same u and µB as in Section 6.2, define µ̃′B = (µ. ... To examine the effect of missing the Kth common factor, assume (2.1) and that rank(BB) = K,but the estimator is.
  9. 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 ... 1.8. Let B be a Borel subset of the interval [0, 1].
  10. 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 ... cn, } are. independent. 1.8 Let B be a Borel subset of the interval [0, 1].
  11. Selection bias in 2020 Qingyuan Zhao Statistical Laboratory,…

    www.statslab.cam.ac.uk/~qz280/talk/ocis-2020/slides.pdf
    14 May 2024: Four crucial epidemiological events. B: Beginning of stay in Wuhan;. E : End of stay in Wuhan;. ... f (t,s | B = b,E = e) 1{(b,e,t,s)D}P((B,E,T,S) D| B = b,E = e.
  12. Japan2012.dvi

    www.statslab.cam.ac.uk/~rjs57/Japan2012.pdf
    21 Sep 2012: The theorem requires no exchangeability or randomguessing conditions. • It holds even when B = 1. • ... B. B. j=1. 1{kŜ(A2j1)}1{kŜ(A2j )},and note that E{Π̃B(k)} = p2k,n/2. Now.
  13. 27 Aug 2002: 07"%$$8H<;'72#'<O=7P.2% #& Z"A#9&WAY".-.'"B/'<O812%<; #j-"<F$=21#-ÊMð. ... G"<&7P.'" #&J7"%$$8H<;'72#'<O07.'2 # TmÏ'<;J=2<&PÊ2%$();.-&D"%A212%<; #j-"<($=2#1+jÊ(B/j9=<"07P.'" #&J7P"$$8H<72#'<O=7P.2% T.
  14. BETS: The dangers of selection bias in early analyses ...

    www.statslab.cam.ac.uk/~qz280/talk/ido-2021/slides.pdf
    14 May 2024: A generative model. Four crucial epidemiological events. B: Beginning of stay in Wuhan;. ... f (t,s | B = b,E = e) 1{(b,e,t,s)D}P((B,E,T,S) D| B = b,E = e.
  15. JRN Michaelmas 2009 Probability and Measure 2 3.1 Suppose ...

    www.statslab.cam.ac.uk/~james/Lectures/pmex2.pdf
    2 Oct 2009: 2 )dx 0. 3.8 Let u and v be differentiable functions on [a, b] with continuous derivatives u′. ... and v′. Show that for a < b b. a. u(x)v′(x)dx = {u(b)v(b) u(a)v(a)}.
  16. What is a randomization test?

    www.statslab.cam.ac.uk/~qz280/talk/toronto-2022/slides.pdf
    14 May 2024: 2017). B. B. B. B. BB B. D. D. D. D. ... K. L. Morgan, D. B. Rubin, Annals of Statistics 40, 1263–1282 (2012).17.
  17. Michaelmas 2019 JRN STOCHASTIC FINANCIAL MODELS Example Sheet 2 ...

    www.statslab.cam.ac.uk/~james/Lectures/sfmex2.pdf
    7 Oct 2019: Fix integers a,b 1 and setT = min{n 0 : Xn {a,b}}. ... Use (b) to find random variables (Mn)n3 such that, forall n 0,.
  18. p.dvi

    www.statslab.cam.ac.uk/~james/Lectures/ocex3.pdf
    24 Nov 2006: 3+'$% >$ ,) $R+'0 34 -$%$4. 8f : ; Yf A: N  M  9 P N9: Pf : Z E ]. b. " # $%&'() ,) $R+'0 34 -$%$4 R$64)00 '%'0 'h) b ... 8<: ; b N<: P , N9: P Y Y n 2 ,)) N< P ; Y - N< P- N< P Z ]N {| } } | )43&'-'1 $> 0 37'%34.
  19. 2 Oct 2001: C/-<7:9;-/7&D9,)FE8Ba7:7NW.& JI);-5Jj?:-4fUOP-39w]¤/D D,] Z Ä¥ ¿ fXU),?B). ... ä 2tvuwyx ä t r t 0/2 z3GI?iNJ Xh Z ZmÅ ¤fKJwB5@>B/9,C3-<S'?
  20. BETS: The dangers of selection bias in early analyses ...

    www.statslab.cam.ac.uk/~qz280/talk/osu-2020/slides.pdf
    14 May 2024: A generative model. Four crucial epidemiological events. B: Beginning of stay in Wuhan;. ... f (t,s | B = b,E = e) 1{(b,e,t,s)D}P((B,E,T,S) D| B = b,E = e.
  21. Mathematical Tripos: Part IB DJS/Lent 2017 Statistics: Example Sheet…

    www.statslab.cam.ac.uk/Dept/People/djsteaching/ex-S1B-17-1.pdf
    17 Jan 2017: likelihood estimate of θ is (2a b)/(b 2c). 4. (a) Let X1,. ... b) For some n > 2, let X1,. ,Xn be iid with Xi Exponential(θ).
  22. Two high-profile examples of selection bias Qingyuan Zhao Statistical …

    www.statslab.cam.ac.uk/~qz280/talk/uw-csss-2022/slides.pdf
    14 May 2024: Let’s start from the first principles. Four crucial epidemiological events. B: Beginning of stay in Wuhan;. ... f (t,s | B = b,E = e) 1{(b,e,t,s)D}P((B,E,T,S) D| B = b,E = e.
  23. Sensitivity analysis for observational studies: Looking back and…

    www.statslab.cam.ac.uk/~qz280/talk/yale-biostats-2020-2/slides.pdf
    14 May 2024: Journal of the Royal Statistical Society: Series B (StatisticalMethodology), 82(1):39–67, 2020. ... Q. Zhao, D. S. Small, and B. B. Bhattacharya. Sensitivity analysis for inverseprobability weighting estimators via the percentile bootstrap.
  24. 2 Oct 2001: î b $ iÝ5ÞíJà b â ) dïêì' à , L b $c&(' d U) dïêì' à ,ð ' b@b kÕ fE56= An %9#/?967HIxv["5. ... b ) d iÈ _=X] U rqW5X<Y#Z[WW5X]_np]É ê' à , ð ' b@b d $>@>) r Ì Lb5$b ) iÈ _=X] U rq_oW5p]=q<rX#]=_Sp]É ê'
  25. Cambridge2012.dvi

    www.statslab.cam.ac.uk/~rjs57/Cambridge2012.pdf
    21 Sep 2012: B. B. j=1. 1{kŜ(A2j1)}1{kŜ(A2j)},and note that E{Π̃B(k)} = p2k,n/2. Now. 0 1B. ... Roy.Statist. Soc., Ser. B, 68, 49–67. • Zou, H. and Hastie, T.
  26. STATISTICAL MODELLING Part IICPractical 2: More on the basics ...

    www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Practical2.pdf
    26 Jan 2015: Thus for large B we can expect to see thatFB(x) F(x). ... theoretical_quantiles <- qf((1:B) / (B 1), df1, df2). plot(theoretical_quantiles, f_stat). abline(0, 1, col = "red").
  27. Curriculum Vitae

    www.statslab.cam.ac.uk/~qz280/files/cv.pdf
    20 Mar 2024: 15, no. 1, pp. 363–390, 2021. doi: 10.1214/20-aoas1401. 9. B. Zhang, J. ... S. Small, and B. B. Bhattacharya, “Sensitivity analysis for inverse probabilityweighting estimators via the percentile bootstrap,” Journal of the Royal Statistical
  28. 2 Oct 2001: $"-i,; | | (57/;&(),N$'&()g)D,b"/b;1?#"1.',;)UK1"A Í 2/;)1./U(,41?;#1.RW"8KD5,;1.1p/!&1$'&(")OI@#"1p$]KJ$' ... üý ] $ _N  a É º? ¿.¿.¿0 å?b(5 ª« É )T6dc e cæ õ ] 5 _N fa É º õ. ¿?¿.¿
  29. 2 Oct 2001: C=68:$&1[)601'.)g#+01.$: 0#>%4!-5O@-, "056%4-FGV%4!-561.$;#0g5+!Kt'.)61['? ' $;1['.$&%,?"8 H! ... M?C8' $:/21,FÀ05+!C' e?CO?C$;5=Æ_ÒV('.)6g5A+/e=,]!"B'?
  30. High-dimensional data and the Lasso Rajen D. ShahStatistical…

    www.statslab.cam.ac.uk/~rds37/papers/Lasso_Rajen_Shah.pdf
    23 Sep 2015: One such approximation results from replacing ‖b‖0 with ‖b‖1 :=. pk=1 |bk|, so. ... Yet importantly, sparsity of the estimator is retained. This is essentially because theset {b : ‖b‖1 r} for r > 0 has corners; see Bühlmann and van de Geer
  31. Multiple conditional randomization tests

    www.statslab.cam.ac.uk/~qz280/talk/mcp-2022/slides.pdf
    14 May 2024: B. B. B. B. BB B. D. D. D. D. D. ... K. L. Morgan, D. B. Rubin, Annals of Statistics 40, 1263–1282 (2012).11.
  32. 10 Aug 2009: a+(BA)/γ. dx. b a. B. A. dy. B A. b. b(BA)/γ. ... I(0) =. i. αi. ai+(BA)/γ. ai. dx. B. B(xai)γ. dyfU(y) ln.
  33. 27 Sep 2021: formulagives the stationary distribution of B the buer space required by theserver as. ... aeb PfB bg ae. b b. for constants aa Consider theMGqueue Theconstraintontail behaviourB logPfB.
  34. BETS: The dangers of selection bias in early analyses ...

    www.statslab.cam.ac.uk/~qz280/talk/yale-biostats-2020/slides.pdf
    14 May 2024: A generative model. Four crucial epidemiological events. B: Beginning of stay in Wuhan;. ... f (t,s | B = b,E = e) 1{(b,e,t,s)D}P((B,E,T,S) D| B = b,E = e.
  35. paper.dvi

    www.statslab.cam.ac.uk/~frank/CP/cp.pdf
    26 Apr 2009: Broadband trac and statistical sharing a Eective bandwidths b Multiplexing models c Charging mechanisms. ... grows the probability B approaches a solution of the equation. B E B BC.
  36. latest.dvi

    www.statslab.cam.ac.uk/~frank/PAPERS/eff.pdf
    9 Dec 2005: Then Cramér’s estimate is. P {B > b} 1 νµ. κηeκb as b. ... a1eκb P {B > b} a2e. κb b 0 (4.5). for constants a1, a2 1.
  37. ADVANCED PROBABILITY JAMES NORRIS Contents 0. Review of measure ...

    www.statslab.cam.ac.uk/~james/Lectures/ap.pdf
    3 Oct 2021: We denote this σ-algebra by B(E) and call its elementsBorel sets. ... SetG = σ(W) = {{W B} : B B}. Write Y = aW b, where a,b R are chosen to satisfyaE(W) b = E(X), a var W = cov(W,X).
  38. Sensitivity of mixing times in Eulerian digraphs Lucas Boczkowski ...

    www.statslab.cam.ac.uk/~ps422/rw-directed-graphs.pdf
    23 Mar 2016: n. 9. 0. A. A′. a. B. B′. b. 23. 23. ... P. (Xτ,Zτ {B,B′}, (Xt) F. )= P. (Xτ {A,A′},ζ = 0, (Xt) F. )
  39. 6 Nov 2023: Then we define. σ(Xi : i I) = σ ({ω : Xi(ω) B} : i I,B B) ,. i.e. this is the smallest σ-algebra that makes (Xi)iI measurable. 3. ... Moreover, if Y ′ also satisfies (a) and (b), then Y = Y ′ a.s.
  40. Machine Learning meets Biostatistics IIA crash course on Causal ...

    www.statslab.cam.ac.uk/~qz280/talk/ccaim-summer-school-2022/slides.pdf
    14 May 2024: a,B = b,C = c). It is common to model the counts by Yabcind Poisson(µ πabc ). glm formula in R Poisson log-linear model Joint distribution Independence. YABC log µabc = ... Directed acyclic graph (DAG) = directed graph with no cycles. If A B, A pa(B)
  41. 8 Jan 2008: b(θ̂n) '(. E. (2Lnθiθj. )). at θ0= ni(θ0). 2(. Ln(θ0) Ln(θ̂n)). ' ( ... so E. (. θlog f(Y | θ,φ). ). = 0. so E(Y ) = b′(θ).
  42. SISCER Module 12 Lecture 2: Matching for Cohort Studies

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L2.pdf
    14 May 2024: Journal of the National Cancer Institute, 32(5):1161–1188. Hansen, B. B. (2011). ... B. (1983). The central role of the propensity score in observational studies forcausal effects.
  43. Mixing times of Markov chains Perla Sousi∗ December 8, ...

    www.statslab.cam.ac.uk/~ps422/mixing-notes.pdf
    8 Dec 2020: because µ(ABc) ν(ABc) 0 by the definition of B. We further have. ... Proof. Here we describe Pinsker’s method. Let A = {a1,. ,an} and B = {b1,.
  44. 20 Apr 2012: R2. B(ζ̃(s′),x. ) ,. where ζ̃ is a standard Brownian motion. ... By Lemma 4.3 we get that if and K K′ are large enough, then the integral of g(z) inside theball B = B(0, (K K′)/2) is larger than
  45. SISCER Module 12 Lecture 3: Sensitivity analysis

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L3.pdf
    14 May 2024: Doll, R. and Hill, A. B. (1950). Smoking and carcinoma of the lung. ... S., and Bhattacharya, B. B. (2019). Sensitivity analysis for inverse probability weightingestimators via the percentile bootstrap.
  46. Stochastic Financial Models J.R. Norris December 4, 2019 1 ...

    www.statslab.cam.ac.uk/~james/Lectures/sfm.pdf
    4 Dec 2019: a) P(ρ > 0) = 1,. (b) P̃(A) = E(ρ1A) for all A F. ... Hence (b) holds.Write Rd as an orthogonal direct sum E0 E1, where.
  47. rol.dvi

    www.statslab.cam.ac.uk/~grg/papers/rol.pdf
    15 Aug 2012: 482]. Theorem 4.1. Assume that ψ(a,b) = 0 and that 0 a′ < a, 0 b′ < b. ... Set. a′ =a. a b, b′ =. b. a b,. so that a′ < a and b′ < b, and a′ b′ = 1.
  48. Probability About these notes. Many people have written excellent ...

    www.statslab.cam.ac.uk/~rrw1/prob/prob-weber.pdf
    16 Sep 2019: Proof. Results 1 to 3 are immediate from the definition of conditional probability.For result 4, note that A B B, so P (AB) P (B) and thus P (A | B) ... 1.P (B | B) = 1 (obviously), so it just remains to show the Axiom III.
  49. Collisions of Random Walks Martin T. Barlow∗ Yuval Peres† ...

    www.statslab.cam.ac.uk/~ps422/collisions-rws.pdf
    20 Apr 2012: such that Pa,b(Xm = a0,Ym = b0) > 0 for some m 0. ... Let B(x0,r) = {y : d(x0,y) r} and Y Bt (B := B(x0,r)) be the discrete time simplerandom walk on G killed when it exits B(x0,r)
  50. Capacity of the range of random walk on Z4 ...

    www.statslab.cam.ac.uk/~ps422/CLTd4.pdf
    15 Nov 2016: Proposition 1.6. Let A and B be two finite subsets of Zd. ... 4. We intend to apply (1.6) with A = R1n and B = R2n.
  51. ASYMPTOTICS OF IMPLIED VOLATILITY FAR FROM MATURITY MICHAEL R. ...

    www.statslab.cam.ac.uk/~mike/papers/implied-vol-asymptotics.pdf
    24 Jul 2009: Theorem 5.2. Suppose that is such that for some b > 0 the inequality. ... sinh b/2)2. 2 log cosh(b/2). ) δ(k, τ ). where g(, τ ) is the 2b-periodic function whose restriction to the interval (b, b] is given by.

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