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Publications | Statistical Laboratory
www.statslab.cam.ac.uk/publications?cid=23336%27%5B0%5D&clv=1&kw=%E9%80%8F%E6%B0%A3%E9%9E%8B&p=%E9%80%8F%E6%B0%A3%E9%9E%8B&page=1825 Jun 2024: AI Malz, R Hlozek, TJ Allam, A Bahmanyar, R Biswas, M Dai, L Galbany, EEO Ishida, SW Jha, DO Jones, R Kessler, M Lochner, AA Mahabal, KS Mandel, JR Martinez-Galarza, -
Confounder Adjustment in Multiple Hypothesis Testing
www.statslab.cam.ac.uk/~qz280/publication/cate/slides.pdf3 Jun 2024: p. tj =. nβ̂j. σ̂j. 1 ‖α̂‖2, Pj = 2(1 Φ(|tj|)). -
Mendelian randomization: From genetic association to epidemiological…
www.statslab.cam.ac.uk/~qz280/publication/mr-partially-bayes/slides.pdf3 Jun 2024: Robust adjusted profile score (RAPS). I Define standardized residual: tj (β,τ2) =. Γ̂j βγ̂j(σ2Yj τ. 2) β2σ2Xj. I For some robust loss function ρ, the RAPS are. ... ψ(ρ)1 (β,τ. 2) =. pj=1. ρ′(tj ). βtj,. ψ(ρ)2 (β,τ. 2) =. pj=1. -
Confounder adjustment in large-scale linear structural models
www.statslab.cam.ac.uk/~qz280/publication/cate-mutual-fund/slides.pdf3 Jun 2024: Confounder adjustment in large-scale linearstructural models. Qingyuan Zhao. Department of Statistics, The Wharton School, University of Pennsylvania. June 19 2018, EcoStat. Based on. I Wang, J., Zhao, Q., Hastie, T., & Owen, A. B. Confounder -
The Randomization Principle in Causal Inference: A Modern Look ...
www.statslab.cam.ac.uk/~qz280/talk/imperial-2022/slides.pdf3 Jun 2024: Consider any function g : Z [M] anda collection of test statistics: Tj : Z W R, j [M].The p-value of the CRT is given by. -
Probability J.R. Norris January 22, 2024 1 Contents 1 ...
www.statslab.cam.ac.uk/~james/Lectures/p.pdf22 Jan 2024: f(t) =k. j=0. f(j)(0). j!tj. t0. f(k1)(s). k!(t s)kds. For j = 0,1,. -
Statistical modellingLecturer: Alberto J. Coca…
www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/notes_3Dec19.pdf3 Jun 2024: and (Xj )TXj = X. Tj (I Pj)Xj = ‖(I Pj)Xj‖2. -
Bayesian Non-linear Statistical Inverse Problems
www.statslab.cam.ac.uk/~nickl/Site/__files/FINALBOOKPDF.pdf16 Jan 2024: Z U R I C H L E C T U R E S I N A D V A N C E D M A T H E M A T I C S. Richard Nickl. Bayesian Non-linear Statistical Inverse Problems. Zurich Lectures in Advanced Mathematics. Edited by Habib Ammari, Alexander Gorodnik (Managing Editor), Urs Lang
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