w:x&` k Æ"-!,)& .%0 Marco Iglesias Andrew M. Stuart oJ% N ℄e X ℄y )TJ%Hve ℄ sxTh <Hv P "%0TV3<e#: hFT*Pj m a( F> w=V, VM w M m 1veTTg.TJ%iÆ X ℄ y )Tx*/q<< C oFT A $ YoJ% . eTH3nT 2 t%?K - x7:>Fw? 2 t|TÆ b Z 'xR3VlÆ b TY } /7>&s _ n 87?V> &T}b% $ 2 tnkT,,a X ℄T>\T7>&a X ℄T%?a X ℄ySP )7) 87?V>&:T ^ !q%7}b% $ R 1SP<FT e 1. *' Bayes (/$)1) | T 2 t Æ TÆ b u Æ: y Tr4Æ b xH | l w Z H FizTM Æ:L>\Tx&℄T e7XJI (forward problem), 2 t G /7e℄TÆ b u >& | TÆ: y. e78JI (inverse problem), 2 tL/ :eR1 w 1℄& SPTÆ: y TÆ b u T7d [6, 11]; | Ce$goJ%T#nH Hadamard (D ') V 4F6 T - _ i ( ℄yzL —— BHy=y℄enT yeTN&STnG3 J v = / 7N 2 t9 ez R>oJ%℄T vT ^ !7d>&e 3T X ℄yF )jhToJ%T Bayes rn ~ K - x3?LTr 6 KV ^ NNN ~ /?rn z x. z WL)oJ%T℄y H Bayes rne_ > (u, y) : oJ%T℄L: u H℄ y z T+P " vB> P(u|y) (?GeO> u|y—— #u). V+P " vT 1 Bayes <V :> $SIAM News, Vol. 47 (2014), No. 6, UQ and a Model Inverse Problem: CO Capture/ c 2014 Society for Storage, Marco Iglesias, Andrew M. Stuart, figure number 3. Copyright Industrial and Applied Mathematics. Reprinted with permission. All rights reserved. , +02;U9$H;y Marco Iglesias ) Nottingham GCUq X Andrew Stuart ) Warwick GiUX H!w98 Stuart I,Jd k Savannah mxU 2014 , ;+02Y ^z *2" (2014 SIAM Conference on Uncertainty Quantification) hUTm2U 1) Thomas Bayes, 1702–1761 = )1AESE / 2 6x 1742 = 2?)/E22 ABayes D I #& =UiI 1 8$;U Bayes ^ f8^J #& 1A UmO4iU-f—— jv 2 · 11 · P(u|y) ∝ P(y|u)P(u). CG>=R5 "v P(u|y), >H℄n y '7BYT u K-YQT Y}W7 HD P(y|u) 3YT P(u), ~Ze7℄TÆb u, :℄&P T y Tx : 4T P(u) L / K - HSPnZ H 7BY TY } V . 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(? ;vr4)—— T℄ ℄ Tt 3yTÆ b {J g T " vH{J g T " v| C g VC|K - RHu,T{J g " 7> qb h' " vK - |6HoFTÆ bt 3y{J gN ℄}GT ? ;vr4T*P TX ℄ *P:℄HF T*/e Za ? ℄-HST 10 < etP7oJ%T Bayes rnTNFTwn [10] HQ /NaT:xFT~rnr .E P h/ %>K - Tz%H*/ 5 TM.=Hrn % x=Tq<r . -=HT9> B HN. z J *P Z 1BHu,"℄*/TJ%TOQ 2l =B Y TYKOTJ% l =8vTz X qb h' " vTr Vz X jK -: 7uT T' " vTz X ?8VlQ 2 J%V(/T Vz%|*/DT72 b -: 3p7,vPnT}Gy, rnT>p ℄OnTbVg|Hgg"℄*/TY 2 tT L gV 91V < g T1|pevP (a 87 ? ;vr4TWJ% 2 t), (a ;v), "% (a ℄℄:+TY ") 0 (a > h' "TnnzslTn) TLf:H*gL Vha|SP"℄ */TQ 2 u T℄& 0P CO BrT K - u eYV t 3yYY> a 5 3 5eJ5T.T “\t y” H5e t 3yv, TC BY# X ℄ 1YVT .M'TDa= U `TDa 6 3 Q / u 4zUZH o 4 V aUw - 3 t3yH'9T\HeJ5e u (), w (3u (f), w -R3u (6) t 3y,LV^ . T℄D X ℄V^ g VT[n)/K ? ℄L\TV g “\tT” . t 3yTY 2 tR y v.TRO`. Tu iKaUiYY} ?Y2 t7~|" g t 3y1 g “\ t”, 7~-|u m a 5 3 (5) T C tVlJ%TUZ=S E slVl 2 tT4G_T#uG_xH [9] eQP M 0X ℄ Y " vWJ% 2 t' " vj1 Bayes L X ℄ Z 'K - jyh h' " T=7T B :\Monte Carlo-Markov (' jx{) 7B MCMC, hVlJ%T Z Tni K S 10 g <℄ - etPH{JeVlrnH % | M g NFT [5]. Za ?A ,T 2 2 · 13 · 87 Monte Carlo Trn<> 5W > C N T " G b [2], VC| }Gy (* LDO*TII) 1NvT%?K - 3:tPoJ% L Vg' Monte Carlo rn [8] ; Monte Carlo rn [2] TlN?8 Tgg 4 rn= CrnT*/ [1, 4, 7, 12], aH [13] el0T7$x :yPoJ%T! e-3Vlrn3x: Monte Carlo rnT}Gy3sRTbTxHG [14, 15] = C #uG_eQPTdU_ j HVps <*/F Th:11 oF tjgT*/=| >Z:Æ_Tq< Tvm <Th O _TVz%W=H yR[ : Ws E~ h y v}GT Bayes 2 tKP SkT:1$ ÆZe7WH N pTh*PT*/D V<Th < YO GTu,o(4 Z vhA1 (Engineering and Physical Sciences Research Council, EPSRC), > lhA1 (European Research Council, ERC) = + rhk (Office of Naval Research, ONR) >X7GTh#T}p Andraw M. Stuart W> EPSRC }pg 5 EQUIP TSvDhttp://www2.warwick. −1/2 ac.uk/fac/sci/maths/research/grants/equip/. T NWYO }MFvBT |h~U r D K - T#G# : $T{NWH}MFtJT Andraw M. Stuart W E ! % K - T#GK - h - 5^To (+ [ 1 ] I. Babuska, R. Tempone, and G. Zouraris, Galerkin finite element approximations of stochastic elliptic partial differential equations, SIAM J. Numer. Anal., 42 (2004), 800–825. [ 2 ] R. Caflisch, Monte Carlo and quasi-Monte Carlo methods, Acta Numer., 7 (1998), 1–49. [ 3 ] A. Chadwick, CCS: Between a rock and a hard place? Greenhouse Gases: Science and Technology, 2 (2011), 99–101. [ 4 ] A. Cohen, R. DeVore, and C. Schwab, Convergence rates of best N-term Galerkin approximations for a class of elliptic sPDEs, Found. Comput. Math., 10 (2010), 615– 646. [ 5 ] S. Cotter, G. Roberts, A. M. Stuart, and D. White, MCMC methods for functions: Modifying old algorithms to make them faster, Stat. Sci., 28 (2013), 424–446. [ 6 ] H. Engl, M. Hanke, and A. Neubauer, Regularization of Inverse Problems, Kluwer, Philadelphia, 1996. [ 7 ] R. G. Ghanem and P. D. Spanos, Stochastic Finite Elements: A Spectral Approach, Springer, New York, 1991. [ 8 ] M. Giles, Multilevel Monte Carlo path simulation, Oper. Res., 56 (2008), 607–617. [ 9 ] M. Iglesias, K. Lin, and A. M. Stuart, Well-posed Bayesian geometric inverse problems arising in subsurface flow, arxiv.org/abs/1401.5571, to appear in Inverse Problems, special issue on Bayesian inversion, 2014. [10] J. Kaipio and E. Somersalo, Statistical and Computational Inverse Problems, 160, Applied Mathematical Sciences, Springer-Verlag, New York, 2005. [11] J. B. Keller, Inverse problems, Amer. Math. Monthly, 83 (1976), 107–118. · 14 · [12] C. Schwab and C. J. Gittelson, Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs, Acta Numer., 20 (2011), 291–467. [13] C. Schwab and A. M. Stuart, Sparse deterministic approximation of Bayesian inverse problems, Inverse Problems, 28 (2012); arxiv.org/abs/1103.4522. [14] A. M. Stuart, Inverse problems: A Bayesian perspective, Acta Numer., 19 (2010), 451–559. [15] A. M. Stuart, Inverse Problems and Uncertainty Quantification, invited lecture, ICM 2014, Seoul; http://homepages.warwick.ac.uk/~masdr/TALKS/stuart SIAMUQ.pdf. 3; # ( SCM i) **************************************************************************** g Y 81 ) ( (+ [ 1 ] L. E. J. Brouwer, Leven, Kunst en Mystiek, J. Waltman Jr., Delft, 1905. English translation with an introduction by W. P. van Stigt in Notre Dame Journal of Formal Logic 37(3) (1996), 381–429. [2] , Collected Works, Volume 1: Philosophy and Foundations of Mathematics, A. Heyting, editor, North-Holland, Amsterdam, 1975. [3] , Collected Works, Volume 2: Geometry, Analysis, Topology and Mechanics, H. Freudenthal, editor, North-Holland, Amsterdam, 1976. [ 4 ] J. Dauben, Georg Cantor: His Mathematics and Philosophy of the Infinite, Harvard, Cambridge, MA, 1979. [ 5 ] H.-D. Ebbinghaus with V. Peckhaus, Ernst Zermelo: An Approach to His Life and Work, Springer, Berlin, 2007. [ 6 ] M. Georgiadou, Constantin Carathéodory: Mathematics and Politics in Turbulent Times, Springer, Berlin, 2004. [ 7 ] J. Gray, Henri Poincaré: A Scientific Biography, Princeton Univ. Press, Princeton, NJ, 2013. [ 8 ] C. Reid, Hilbert, George Allen & Unwin, London, Springer, Berlin, 1970. See also the extensive publication of Hilbert’s lectures and algebraic number theory being published by Springer. [ 9 ] A. S. Troelstra and D. van Dalen, Constructivism in Mathematics: An Introduction, 2 volumes, Elsevier, Amsterdam, 1988. [10] D. van Dalen, Mystic, Geometer, and Intuitionist: The Life of L. E. J. Brouwer, Volume 1: The Dawning Revolution, Oxford Univ. Press, Oxford, 1999; Volume 2: Hope and Disillusion, Oxford Univ. Press, Oxford, 2005. [11] , The Selected Correspondence of L. E. J. Brouwer, Springer, London, 2011; in English, with extra material available online at Springer. [12] , Logic and Structure, 5th edition, Springer, Berlin, 2013. [13] W. van Stigt, The rejected parts of Brouwer’s dissertation on the foundations of mathematics, Historia Mathematica 6 (1979), 385–404. [14] F. Verhulst, Henri Poincaré: Impatient Genius, Springer, New York, 2012. [15] H. Weyl, Das Kontinuum: Kritische Untersuchungen über die Grundlagen der Analysis, Berlin, Veit, 1918. English translation, The Continuum: A Critical Examination of the Foundations of Analysis, Dover, New York, 1994. [16] , Gesammelte Abhandlungen, 4 volumes, Springer, Berlin, 1968. UL7 # ( 9QB i) · 15 ·