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Filtering problem (stochastic processes)

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are written in Ito calculus form. It is possible to write them in Stratonovich calculus form, which turns out to be helpful when deriving filtering approximations based on differential geometry, as in the projection filters. For example, the Kushner-Stratonovich equation written in Stratonovich
1605: 3613: 2257: 647: 280: 823: 2821: 54:. The solution, however, is infinite-dimensional in the general case. Certain approximations and special cases are well understood: for example, the linear filters are optimal for Gaussian random variables, and are known as the 1261: 1835: 3291: 2348: 3747:, which is finite dimensional. More generally, the evolution of the filter density occurs in an infinite-dimensional function space, and it has to be approximated via a finite dimensional approximation, as hinted above. 1066: 2664: 443: 1388: 1977: 516: 3908:, Bernard Hanzon and François LeGland, A Differential Geometric approach to nonlinear filtering: the Projection Filter, I.E.E.E. Transactions on Automatic Control Vol. 43, 2 (1998), pp 247--252. 1481: 62:. More generally, as the solution is infinite dimensional, it requires finite dimensional approximations to be implemented in a computer with finite memory. A finite dimensional approximated 1689: 3841:. (1967). Nonlinear filtering: The exact dynamical equations satisfied by the conditional mode. Automatic Control, IEEE Transactions on Volume 12, Issue 3, Jun 1967 Page(s): 262 - 267 3917:
Damiano Brigo, Bernard Hanzon and François Le Gland, Approximate Nonlinear Filtering by Projection on Exponential Manifolds of Densities, Bernoulli, Vol. 5, N. 3 (1999), pp. 495--534
3311: 2777: 3119: 2813: 3741: 3155: 2126: 2090: 2016: 3697: 3677: 2378: 2146: 536: 169: 3075:{\displaystyle {\cal {L}}_{t}^{*}f(t,y)=-\sum _{i}{\frac {\partial }{\partial y_{i}}}+{\frac {1}{2}}\sum _{i,j}{\frac {\partial ^{2}}{\partial y_{i}\partial y_{j}}}} 2050: 2698: 2431: 705: 2401: 1099: 35:
set of observations. While originally motivated by problems in engineering, filtering found applications in many fields from signal processing to finance.
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Maybeck, Peter S., Stochastic models, estimation, and control, Volume 141, Series Mathematics in Science and Engineering, 1979, Academic Press
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Mireille Chaleyat-Maurel and Dominique Michel. Des resultats de non existence de filtre de dimension finie. Stochastics, 13(1+2):83-102, 1984.
2439: 352: 1302: 4012: 3990: 2132:. These equations can be formulated for the above system, but to simplify the exposition one can assume that the unobserved signal 94: 160: 3643:, so that the densities give complete knowledge of the filter. Under the particular linear-constant assumptions with respect to 1884: 454: 1600:{\displaystyle P_{K}:L^{2}(\Omega ,\Sigma ,\mathbf {P} ;\mathbf {R} ^{n})\to L^{2}(\Omega ,F,\mathbf {P} ;\mathbf {R} ^{n})} 78:
are another option to attack the infinite dimensional filtering problem and are based on sequential Monte Carlo methods.
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is Gaussian and it can be characterized by its mean and variance-covariance matrix, whose evolution is described by the
3771:, a well-known filtering algorithm for linear systems, related both to the filtering problem and the smoothing problem 4037: 3763: 1620: 32: 3608:{\displaystyle dp_{t}={\cal {L}}_{t}^{\ast }\,p_{t}\,dt-{\frac {1}{2}}\,p_{t}\,\,dt+p_{t}\,^{T}\circ dZ_{t}\ .} 1840:
This elementary result is the basis for the general Fujisaki-Kallianpur-Kunita equation of filtering theory.
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Optimum nonlinear systems which bring about a separation of a signal with constant parameters from noise
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Bain, A., and Crisan, D. (2009). Fundamentals of Stochastic Filtering. Springer-Verlag, New York,
3809: 895: 3939:(2) (Publications du Laboratoire de Statistique et Probabilités, 96-15 (1996) ed.): 438–495. 3928: 3785: 71: 59: 2252:{\displaystyle \mathrm {d} Y_{t}=b(t,Y_{t})\,\mathrm {d} t+\sigma (t,Y_{t})\,\mathrm {d} B_{t},} 642:{\displaystyle \mathrm {d} Z_{t}=c(t,Y_{t})\,\mathrm {d} t+\gamma (t,Y_{t})\,\mathrm {d} W_{t},} 275:{\displaystyle \mathrm {d} Y_{t}=b(t,Y_{t})\,\mathrm {d} t+\sigma (t,Y_{t})\,\mathrm {d} B_{t},} 4008: 4000: 3986: 3838: 3757: 3710: 3124: 2095: 2059: 1985: 818:{\displaystyle {\big |}c(t,x){\big |}+{\big |}\gamma (t,x){\big |}\leq C{\big (}1+|x|{\big )}} 106: 43: 3682: 3662: 2363: 38:
The problem of optimal non-linear filtering (even for the non-stationary case) was solved by
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or the assumed density filters, or more methodologically oriented such as for example the
2383: 2129: 157: 51: 74:, some sub-families of which are shown to coincide with the Assumed Density Filters. 4026: 3905: 3853:(1969), On the optimal filtering of diffusion processes. Zeit. Wahrsch. 11 230–243. 3768: 3744: 1284: 1256:{\displaystyle \mathbf {E} \left=\inf _{Y\in K}\mathbf {E} \left.\qquad {\mbox{(M)}}} 899: 90: 55: 1830:{\displaystyle {\hat {Y}}_{t}=P_{K(Z,t)}{\big (}Y_{t}{\big )}=\mathbf {E} {\big }.} 521:
this gives the following stochastic integral representation for the observations
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In other terms, the system is simplified by assuming that the observation noise
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Adopting the Itō interpretation of the stochastic differential and setting
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For this particular system, the Kushner-Stratonovich SPDE for the density
3873: 2659:{\displaystyle \mathrm {d} p_{t}={\cal {L}}_{t}^{*}p_{t}\ dt+p_{t}^{T}} 438:{\displaystyle H_{t}=c(t,Y_{t})+\gamma (t,Y_{t})\cdot {\mbox{noise}}.} 1287:, and the general theory of Hilbert spaces implies that the solution 4005:
Stochastic Differential Equations: An Introduction with Applications
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applies, then filtering also arises as part of the solution of an
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Application of the Markov processes theory to optimal filtering
1383:{\displaystyle {\hat {Y}}_{t}=P_{K(Z,t)}{\big (}Y_{t}{\big )},} 93:
is the estimation part of the optimal control solution to the
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conditional on the sigma-field generated by observations
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is the diffusion field. It is assumed that observations
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but we assume this has been taken out by re-scaling.
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may, in general, be unequal) are taken for each time
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denotes the expectation with respect to the density
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would be given by the probability law of the signal
1982:then under some regularity assumptions the density 3735: 3691: 3671: 3607: 3285: 3149: 3113: 3074: 2807: 2771: 2692: 2658: 2425: 2395: 2372: 2342: 2251: 2120: 2084: 2044: 2010: 1971: 1829: 1683: 1599: 1382: 1255: 1060: 885:By "based on those observations" it is meant that 817: 641: 510: 437: 274: 1610:is exactly the conditional expectation operator 1175: 3626:one can calculate all statistics of the signal 1848:The complete knowledge of the filter at a time 31:of a system from an incomplete and potentially 2360:One might keep a deterministic time dependent 1844:More advanced result: nonlinear filtering SPDE 3960: 3958: 3956: 3707:being Gaussian or deterministic, the density 1819: 1802: 1785: 1770: 1753: 1684:{\displaystyle P_{K}(X)=\mathbf {E} {\big }.} 1673: 1663: 1653: 1475:-algebra of Σ then the orthogonal projection 1372: 1355: 1226: 1202: 1155: 1115: 810: 784: 771: 746: 736: 711: 66:may be more based on heuristics, such as the 8: 3703:, with the initial condition for the signal 3472: 3450: 3418: 3396: 1296:of the minimization problem (M) is given by 3157:, the Zakai SPDE for the same system reads 1463:). Furthermore, it is a general fact about 1080:minimizes the mean-square distance between 882:of the system based on those observations? 691: : [0, +∞) ×  679: : [0, +∞) ×  313: : [0, +∞) ×  301: : [0, +∞) ×  3760:, closely related to the filtering problem 3983:Stochastic Processes and Filtering Theory 3966:https://doi.org/10.1007/978-0-387-76896-0 3944: 3718: 3712: 3684: 3664: 3593: 3577: 3541: 3536: 3507: 3501: 3487: 3475: 3439: 3434: 3421: 3392: 3386: 3381: 3371: 3361: 3355: 3350: 3344: 3339: 3333: 3332: 3322: 3313: 3274: 3261: 3230: 3208: 3198: 3193: 3187: 3186: 3176: 3167: 3165: 3132: 3126: 3105: 3090: 3027: 3011: 2998: 2984: 2978: 2966: 2952: 2907: 2891: 2878: 2872: 2838: 2833: 2827: 2826: 2823: 2799: 2794: 2788: 2787: 2784: 2715: 2709: 2684: 2678: 2615: 2610: 2597: 2581: 2545: 2540: 2506: 2484: 2474: 2469: 2463: 2462: 2452: 2443: 2441: 2417: 2411: 2385: 2365: 2331: 2322: 2311: 2310: 2301: 2276: 2267: 2265: 2240: 2231: 2230: 2221: 2194: 2193: 2184: 2159: 2150: 2148: 2103: 2097: 2067: 2061: 2036: 2027: 1993: 1987: 1957: 1948: 1933: 1920: 1919: 1892: 1886: 1818: 1817: 1811: 1801: 1800: 1794: 1784: 1783: 1778: 1769: 1768: 1762: 1752: 1751: 1730: 1717: 1706: 1705: 1702: 1672: 1671: 1662: 1661: 1652: 1651: 1646: 1628: 1622: 1588: 1583: 1574: 1553: 1537: 1532: 1523: 1502: 1489: 1483: 1371: 1370: 1364: 1354: 1353: 1332: 1319: 1308: 1307: 1304: 1246: 1231: 1225: 1224: 1211: 1201: 1200: 1190: 1178: 1160: 1154: 1153: 1146: 1135: 1134: 1124: 1114: 1113: 1103: 1101: 1046: 1041: 1032: 1023: 1004: 971: 809: 808: 803: 795: 783: 782: 770: 769: 745: 744: 735: 734: 710: 709: 707: 630: 621: 620: 611: 584: 583: 574: 549: 540: 538: 497: 496: 490: 480: 475: 462: 456: 425: 413: 385: 360: 354: 263: 254: 253: 244: 217: 216: 207: 182: 173: 171: 27:describes the problem of determining the 3883: 3881: 3121:. If we choose the unnormalized density 2136:and the partially observed noisy signal 2020:stochastic partial differential equation 3802: 16:Mathematical model for state estimation 2772:{\displaystyle E_{p}=\int f(y)p(y)dy,} 113:) and suppose that the (random) state 1071:By "best estimate", it is meant that 847:is the following: given observations 7: 4007:(Sixth ed.). Berlin: Springer. 3114:{\displaystyle a=\sigma \sigma ^{T}} 2779:and the forward diffusion operator 1267:Basic result: orthogonal projection 3168: 3004: 2991: 2981: 2884: 2880: 2808:{\displaystyle {\cal {L}}_{t}^{*}} 2444: 2323: 2312: 2268: 2232: 2195: 2151: 1562: 1517: 1511: 1013: 622: 585: 541: 498: 255: 218: 174: 14: 4043:Stochastic differential equations 3647:, where the systems coefficients 95:linear-quadratic-Gaussian control 3816:. Radiofizika, 2:6, pp. 892-901. 1921: 1779: 1647: 1584: 1575: 1533: 1524: 1191: 1104: 1042: 1033: 161:stochastic differential equation 136:of a system of interest at time 2128:satisfies a linear SPDE called 1861:conditional on the sigma-field 1245: 954:that are square-integrable and 3730: 3724: 3574: 3570: 3567: 3555: 3549: 3526: 3514: 3508: 3484: 3481: 3468: 3456: 3447: 3414: 3402: 3393: 3258: 3254: 3242: 3236: 3144: 3138: 3069: 3066: 3054: 3048: 3036: 3020: 2946: 2943: 2931: 2925: 2913: 2900: 2859: 2847: 2757: 2751: 2745: 2739: 2727: 2721: 2653: 2644: 2641: 2629: 2623: 2587: 2578: 2574: 2571: 2559: 2553: 2530: 2518: 2512: 2307: 2288: 2227: 2208: 2190: 2171: 2115: 2109: 2079: 2073: 2005: 1999: 1963: 1949: 1926: 1904: 1898: 1746: 1734: 1711: 1640: 1634: 1594: 1559: 1546: 1543: 1508: 1348: 1336: 1313: 1140: 1052: 1010: 994: 982: 913:generated by the observations 804: 796: 766: 754: 731: 719: 617: 598: 580: 561: 419: 400: 391: 372: 250: 231: 213: 194: 1: 3981:Jazwinski, Andrew H. (1970). 3933:Annals of Applied Probability 2054:Kushner-Stratonovich equation 3985:. New York: Academic Press. 2056:, or a unnormalized version 864:, what is the best estimate 156:given by the solution to an 3825:Stratonovich, R.L. (1960). 152: : Î© â†’  4059: 3927:Del Moral, Pierre (1998). 3764:Filter (signal processing) 3618:From any of the densities 1870:generated by observations 668:and the initial condition 101:The mathematical formalism 89:problem. For example, the 2357:is not state dependent. 950:-valued random variables 3736:{\displaystyle p_{t}(y)} 3655:are linear functions of 3150:{\displaystyle q_{t}(y)} 2121:{\displaystyle p_{t}(y)} 2085:{\displaystyle q_{t}(y)} 2011:{\displaystyle p_{t}(y)} 1465:conditional expectations 946:) the collection of all 309:is the drift field, and 3946:10.1214/aoap/1028903535 3692:{\displaystyle \gamma } 3672:{\displaystyle \sigma } 2673:denotes transposition, 2373:{\displaystyle \gamma } 2140:satisfy the equations 2018:satisfies a non-linear 42:(1959, 1960), see also 3775:Extended Kalman filter 3737: 3693: 3673: 3609: 3287: 3151: 3115: 3076: 2809: 2773: 2694: 2660: 2427: 2397: 2374: 2344: 2253: 2122: 2086: 2046: 2045:{\displaystyle dZ_{t}} 2012: 1973: 1831: 1685: 1601: 1384: 1257: 1089:and all candidates in 1062: 819: 643: 512: 439: 276: 68:extended Kalman filter 40:Ruslan L. Stratonovich 3738: 3694: 3674: 3610: 3288: 3152: 3116: 3077: 2810: 2774: 2695: 2693:{\displaystyle E_{p}} 2661: 2428: 2426:{\displaystyle p_{t}} 2398: 2375: 2345: 2254: 2123: 2087: 2047: 2013: 1974: 1832: 1686: 1602: 1413:orthogonal projection 1385: 1283:) of candidates is a 1258: 1063: 820: 644: 513: 440: 277: 3711: 3683: 3663: 3312: 3164: 3125: 3089: 2822: 2783: 2708: 2677: 2440: 2410: 2384: 2364: 2264: 2147: 2096: 2060: 2026: 1986: 1885: 1701: 1621: 1482: 1303: 1100: 970: 898:with respect to the 706: 537: 455: 353: 170: 83:separation principle 21:stochastic processes 3810:Stratonovich, R. L. 3349: 3203: 2843: 2804: 2479: 485: 81:In general, if the 4001:Øksendal, Bernt K. 3874:10.1007/BF00536382 3786:Projection filters 3745:Kalman-Bucy filter 3733: 3689: 3669: 3605: 3331: 3283: 3185: 3147: 3111: 3072: 2977: 2877: 2825: 2805: 2786: 2769: 2690: 2656: 2461: 2423: 2396:{\displaystyle dW} 2393: 2370: 2340: 2249: 2118: 2082: 2042: 2008: 1969: 1827: 1681: 1597: 1380: 1253: 1251: 1189: 1058: 873:of the true state 856:for 0 â‰€  836:and some constant 815: 639: 508: 471: 435: 430: 272: 72:projection filters 60:Kalman-Bucy filter 4038:Signal estimation 4019:(See Section 6.1) 3758:smoothing problem 3699:do not depend on 3601: 3379: 3216: 3018: 2962: 2960: 2898: 2868: 2492: 2022:(SPDE) driven by 1909: 1714: 1419:(Ω, Î£,  1316: 1250: 1174: 1143: 845:filtering problem 664:, independent of 656:denotes standard 429: 289:denotes standard 109:(Ω, Î£,  107:probability space 44:Harold J. Kushner 19:In the theory of 4050: 4018: 3996: 3968: 3962: 3951: 3950: 3948: 3924: 3918: 3915: 3909: 3903: 3897: 3894: 3888: 3885: 3876: 3848: 3842: 3836: 3830: 3823: 3817: 3807: 3791:Particle filters 3742: 3740: 3739: 3734: 3723: 3722: 3698: 3696: 3695: 3690: 3678: 3676: 3675: 3670: 3614: 3612: 3611: 3606: 3599: 3598: 3597: 3582: 3581: 3548: 3547: 3546: 3545: 3506: 3505: 3480: 3479: 3446: 3445: 3444: 3443: 3426: 3425: 3391: 3390: 3380: 3372: 3360: 3359: 3348: 3343: 3338: 3337: 3327: 3326: 3296:These SPDEs for 3292: 3290: 3289: 3284: 3279: 3278: 3266: 3265: 3235: 3234: 3214: 3213: 3212: 3202: 3197: 3192: 3191: 3181: 3180: 3171: 3156: 3154: 3153: 3148: 3137: 3136: 3120: 3118: 3117: 3112: 3110: 3109: 3081: 3079: 3078: 3073: 3035: 3034: 3019: 3017: 3016: 3015: 3003: 3002: 2989: 2988: 2979: 2976: 2961: 2953: 2912: 2911: 2899: 2897: 2896: 2895: 2879: 2876: 2842: 2837: 2832: 2831: 2814: 2812: 2811: 2806: 2803: 2798: 2793: 2792: 2778: 2776: 2775: 2770: 2720: 2719: 2699: 2697: 2696: 2691: 2689: 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1494: 1493: 1389: 1387: 1386: 1381: 1376: 1375: 1369: 1368: 1359: 1358: 1352: 1351: 1324: 1323: 1318: 1317: 1309: 1262: 1260: 1259: 1254: 1252: 1248: 1241: 1237: 1236: 1235: 1230: 1229: 1216: 1215: 1206: 1205: 1194: 1188: 1170: 1166: 1165: 1164: 1159: 1158: 1151: 1150: 1145: 1144: 1136: 1129: 1128: 1119: 1118: 1107: 1067: 1065: 1064: 1059: 1051: 1050: 1045: 1036: 1028: 1027: 1009: 1008: 922:, 0 â‰€  824: 822: 821: 816: 814: 813: 807: 799: 788: 787: 775: 774: 750: 749: 740: 739: 715: 714: 648: 646: 645: 640: 635: 634: 625: 616: 615: 588: 579: 578: 554: 553: 544: 517: 515: 514: 509: 501: 495: 494: 484: 479: 467: 466: 444: 442: 441: 436: 431: 427: 418: 417: 390: 389: 365: 364: 281: 279: 278: 273: 268: 267: 258: 249: 248: 221: 212: 211: 187: 186: 177: 76:Particle filters 64:nonlinear filter 4058: 4057: 4053: 4052: 4051: 4049: 4048: 4047: 4023: 4022: 4015: 3999: 3993: 3980: 3977: 3975:Further reading 3972: 3971: 3963: 3954: 3926: 3925: 3921: 3916: 3912: 3904: 3900: 3895: 3891: 3886: 3879: 3849: 3845: 3839:Kushner, Harold 3837: 3833: 3824: 3820: 3808: 3804: 3799: 3753: 3714: 3709: 3708: 3681: 3680: 3661: 3660: 3634: 3589: 3573: 3537: 3532: 3497: 3471: 3435: 3430: 3417: 3382: 3351: 3318: 3310: 3309: 3305:calculus reads 3270: 3257: 3226: 3204: 3172: 3162: 3161: 3128: 3123: 3122: 3101: 3087: 3086: 3023: 3007: 2994: 2990: 2980: 2903: 2887: 2883: 2820: 2819: 2781: 2780: 2711: 2706: 2705: 2680: 2675: 2674: 2611: 2606: 2593: 2577: 2541: 2536: 2502: 2480: 2448: 2438: 2437: 2413: 2408: 2407: 2382: 2381: 2362: 2361: 2327: 2297: 2272: 2262: 2261: 2236: 2217: 2180: 2155: 2145: 2144: 2099: 2094: 2093: 2092:of the density 2063: 2058: 2057: 2032: 2024: 2023: 1989: 1984: 1983: 1953: 1929: 1888: 1883: 1882: 1869: 1860: 1846: 1807: 1790: 1758: 1726: 1704: 1699: 1698: 1624: 1619: 1618: 1582: 1549: 1531: 1498: 1485: 1480: 1479: 1454: 1429:linear subspace 1410: 1360: 1328: 1306: 1301: 1300: 1295: 1269: 1223: 1207: 1199: 1195: 1152: 1133: 1120: 1112: 1108: 1098: 1097: 1088: 1079: 1040: 1019: 1000: 968: 967: 962: 921: 912: 893: 881: 872: 855: 704: 703: 674: 662:Brownian motion 626: 607: 570: 545: 535: 534: 529: 486: 458: 453: 452: 409: 381: 356: 351: 350: 329: 295:Brownian motion 259: 240: 203: 178: 168: 167: 151: 142:random variable 131:Euclidean space 121: 103: 87:optimal control 17: 12: 11: 5: 4056: 4054: 4046: 4045: 4040: 4035: 4033:Control theory 4025: 4024: 4021: 4020: 4013: 3997: 3991: 3976: 3973: 3970: 3969: 3952: 3919: 3910: 3898: 3889: 3877: 3843: 3831: 3818: 3801: 3800: 3798: 3795: 3794: 3793: 3788: 3783: 3778: 3772: 3766: 3761: 3752: 3749: 3732: 3729: 3726: 3721: 3717: 3688: 3668: 3630: 3616: 3615: 3604: 3596: 3592: 3588: 3585: 3580: 3576: 3572: 3569: 3566: 3563: 3560: 3557: 3554: 3551: 3544: 3540: 3535: 3531: 3528: 3525: 3522: 3519: 3516: 3513: 3510: 3504: 3500: 3496: 3493: 3490: 3486: 3483: 3478: 3474: 3470: 3467: 3464: 3461: 3458: 3455: 3452: 3449: 3442: 3438: 3433: 3429: 3424: 3420: 3416: 3413: 3410: 3407: 3404: 3401: 3398: 3395: 3389: 3385: 3378: 3375: 3370: 3367: 3364: 3358: 3354: 3347: 3342: 3336: 3330: 3325: 3321: 3317: 3294: 3293: 3282: 3277: 3273: 3269: 3264: 3260: 3256: 3253: 3250: 3247: 3244: 3241: 3238: 3233: 3229: 3225: 3222: 3219: 3211: 3207: 3201: 3196: 3190: 3184: 3179: 3175: 3170: 3146: 3143: 3140: 3135: 3131: 3108: 3104: 3100: 3097: 3094: 3083: 3082: 3071: 3068: 3065: 3062: 3059: 3056: 3053: 3050: 3047: 3044: 3041: 3038: 3033: 3030: 3026: 3022: 3014: 3010: 3006: 3001: 2997: 2993: 2987: 2983: 2975: 2972: 2969: 2965: 2959: 2956: 2951: 2948: 2945: 2942: 2939: 2936: 2933: 2930: 2927: 2924: 2921: 2918: 2915: 2910: 2906: 2902: 2894: 2890: 2886: 2882: 2875: 2871: 2867: 2864: 2861: 2858: 2855: 2852: 2849: 2846: 2841: 2836: 2830: 2802: 2797: 2791: 2768: 2765: 2762: 2759: 2756: 2753: 2750: 2747: 2744: 2741: 2738: 2735: 2732: 2729: 2726: 2723: 2718: 2714: 2687: 2683: 2667: 2666: 2655: 2652: 2649: 2646: 2643: 2640: 2637: 2634: 2631: 2628: 2625: 2618: 2614: 2609: 2605: 2600: 2596: 2592: 2589: 2584: 2580: 2576: 2573: 2570: 2567: 2564: 2561: 2558: 2555: 2548: 2544: 2539: 2535: 2532: 2529: 2526: 2523: 2520: 2517: 2514: 2509: 2505: 2501: 2498: 2495: 2487: 2483: 2477: 2472: 2466: 2460: 2455: 2451: 2446: 2420: 2416: 2392: 2389: 2369: 2351: 2350: 2339: 2334: 2330: 2325: 2321: 2318: 2314: 2309: 2304: 2300: 2296: 2293: 2290: 2287: 2284: 2279: 2275: 2270: 2259: 2248: 2243: 2239: 2234: 2229: 2224: 2220: 2216: 2213: 2210: 2207: 2204: 2201: 2197: 2192: 2187: 2183: 2179: 2176: 2173: 2170: 2167: 2162: 2158: 2153: 2130:Zakai equation 2117: 2114: 2111: 2106: 2102: 2081: 2078: 2075: 2070: 2066: 2039: 2035: 2031: 2007: 2004: 2001: 1996: 1992: 1980: 1979: 1968: 1965: 1960: 1956: 1951: 1947: 1944: 1941: 1936: 1932: 1928: 1923: 1918: 1915: 1912: 1906: 1903: 1900: 1895: 1891: 1865: 1856: 1845: 1842: 1838: 1837: 1826: 1821: 1814: 1810: 1804: 1797: 1793: 1787: 1781: 1777: 1772: 1765: 1761: 1755: 1748: 1745: 1742: 1739: 1736: 1733: 1729: 1725: 1720: 1713: 1710: 1692: 1691: 1680: 1675: 1670: 1665: 1660: 1655: 1649: 1645: 1642: 1639: 1636: 1631: 1627: 1608: 1607: 1596: 1591: 1586: 1581: 1577: 1573: 1570: 1567: 1564: 1561: 1556: 1552: 1548: 1545: 1540: 1535: 1530: 1526: 1522: 1519: 1516: 1513: 1510: 1505: 1501: 1497: 1492: 1488: 1450: 1442:) =  1397: 1391: 1390: 1379: 1374: 1367: 1363: 1357: 1350: 1347: 1344: 1341: 1338: 1335: 1331: 1327: 1322: 1315: 1312: 1291: 1268: 1265: 1264: 1263: 1244: 1240: 1234: 1228: 1222: 1219: 1214: 1210: 1204: 1198: 1193: 1187: 1184: 1181: 1177: 1173: 1169: 1163: 1157: 1149: 1142: 1139: 1132: 1127: 1123: 1117: 1111: 1106: 1084: 1075: 1069: 1068: 1057: 1054: 1049: 1044: 1039: 1035: 1031: 1026: 1022: 1018: 1015: 1012: 1007: 1003: 999: 996: 993: 990: 987: 984: 981: 978: 975: 958: 917: 908: 889: 877: 868: 851: 826: 825: 812: 806: 802: 798: 794: 791: 786: 781: 778: 773: 768: 765: 762: 759: 756: 753: 748: 743: 738: 733: 730: 727: 724: 721: 718: 713: 672: 650: 649: 638: 633: 629: 624: 619: 614: 610: 606: 603: 600: 597: 594: 591: 587: 582: 577: 573: 569: 566: 563: 560: 557: 552: 548: 543: 525: 519: 518: 507: 504: 500: 493: 489: 483: 478: 474: 470: 465: 461: 446: 445: 434: 424: 421: 416: 412: 408: 405: 402: 399: 396: 393: 388: 384: 380: 377: 374: 371: 368: 363: 359: 325: 283: 282: 271: 266: 262: 257: 252: 247: 243: 239: 236: 233: 230: 227: 224: 220: 215: 210: 206: 202: 199: 196: 193: 190: 185: 181: 176: 147: 117: 102: 99: 52:Zakai equation 15: 13: 10: 9: 6: 4: 3: 2: 4055: 4044: 4041: 4039: 4036: 4034: 4031: 4030: 4028: 4016: 4014:3-540-04758-1 4010: 4006: 4002: 3998: 3994: 3992:0-12-381550-9 3988: 3984: 3979: 3978: 3974: 3967: 3961: 3959: 3957: 3953: 3947: 3942: 3938: 3934: 3930: 3923: 3920: 3914: 3911: 3907: 3906:Damiano Brigo 3902: 3899: 3893: 3890: 3884: 3882: 3878: 3875: 3871: 3867: 3863: 3859: 3856: 3852: 3847: 3844: 3840: 3835: 3832: 3828: 3822: 3819: 3815: 3811: 3806: 3803: 3796: 3792: 3789: 3787: 3784: 3782: 3779: 3776: 3773: 3770: 3769:Kalman filter 3767: 3765: 3762: 3759: 3755: 3754: 3750: 3748: 3746: 3727: 3719: 3715: 3706: 3702: 3686: 3666: 3658: 3654: 3650: 3646: 3642: 3638: 3633: 3629: 3625: 3621: 3602: 3594: 3590: 3586: 3583: 3578: 3564: 3561: 3558: 3552: 3542: 3538: 3533: 3529: 3523: 3520: 3517: 3511: 3502: 3498: 3494: 3491: 3488: 3476: 3465: 3462: 3459: 3453: 3440: 3436: 3431: 3427: 3422: 3411: 3408: 3405: 3399: 3387: 3383: 3376: 3373: 3368: 3365: 3362: 3356: 3352: 3345: 3340: 3328: 3323: 3319: 3315: 3308: 3307: 3306: 3303: 3299: 3280: 3275: 3271: 3267: 3262: 3251: 3248: 3245: 3239: 3231: 3227: 3223: 3220: 3217: 3209: 3205: 3199: 3194: 3182: 3177: 3173: 3160: 3159: 3158: 3141: 3133: 3129: 3106: 3102: 3098: 3095: 3092: 3063: 3060: 3057: 3051: 3045: 3042: 3039: 3031: 3028: 3024: 3012: 3008: 2999: 2995: 2985: 2973: 2970: 2967: 2963: 2957: 2954: 2949: 2940: 2937: 2934: 2928: 2922: 2919: 2916: 2908: 2904: 2892: 2888: 2873: 2869: 2865: 2862: 2856: 2853: 2850: 2844: 2839: 2834: 2818: 2817: 2816: 2800: 2795: 2766: 2763: 2760: 2754: 2748: 2742: 2736: 2733: 2730: 2724: 2716: 2712: 2703: 2685: 2681: 2672: 2650: 2647: 2638: 2635: 2632: 2626: 2616: 2612: 2607: 2603: 2598: 2594: 2590: 2582: 2568: 2565: 2562: 2556: 2546: 2542: 2537: 2533: 2527: 2524: 2521: 2515: 2507: 2503: 2499: 2496: 2493: 2485: 2481: 2475: 2470: 2458: 2453: 2449: 2436: 2435: 2434: 2418: 2414: 2404: 2390: 2387: 2367: 2358: 2356: 2337: 2332: 2328: 2319: 2316: 2302: 2298: 2294: 2291: 2285: 2282: 2277: 2273: 2260: 2246: 2241: 2237: 2222: 2218: 2214: 2211: 2205: 2202: 2199: 2185: 2181: 2177: 2174: 2168: 2165: 2160: 2156: 2143: 2142: 2141: 2139: 2135: 2131: 2112: 2104: 2100: 2076: 2068: 2064: 2055: 2037: 2033: 2029: 2021: 2002: 1994: 1990: 1966: 1958: 1954: 1945: 1942: 1939: 1934: 1930: 1916: 1913: 1910: 1901: 1893: 1889: 1881: 1880: 1879: 1877: 1873: 1868: 1864: 1859: 1855: 1851: 1843: 1841: 1824: 1812: 1808: 1795: 1791: 1775: 1763: 1759: 1743: 1740: 1737: 1731: 1727: 1723: 1718: 1708: 1697: 1696: 1695: 1678: 1668: 1658: 1643: 1637: 1629: 1625: 1617: 1616: 1615: 1613: 1589: 1579: 1571: 1568: 1565: 1554: 1550: 1538: 1528: 1520: 1514: 1503: 1499: 1495: 1490: 1486: 1478: 1477: 1476: 1474: 1470: 1466: 1462: 1458: 1453: 1449: 1445: 1441: 1437: 1433: 1430: 1426: 1422: 1418: 1414: 1408: 1404: 1400: 1396: 1377: 1365: 1361: 1345: 1342: 1339: 1333: 1329: 1325: 1320: 1310: 1299: 1298: 1297: 1294: 1290: 1286: 1285:Hilbert space 1282: 1278: 1274: 1266: 1242: 1238: 1232: 1220: 1217: 1212: 1208: 1196: 1185: 1182: 1179: 1171: 1167: 1161: 1147: 1137: 1130: 1125: 1121: 1109: 1096: 1095: 1094: 1092: 1087: 1083: 1078: 1074: 1055: 1047: 1037: 1029: 1024: 1020: 1016: 1005: 1001: 997: 991: 988: 985: 979: 976: 973: 966: 965: 964: 963:-measurable: 961: 957: 953: 949: 945: 941: 937: 934: =  933: 929: 926: â‰€  925: 920: 916: 911: 907: 904: 902: 897: 892: 888: 883: 880: 876: 871: 867: 863: 860: â‰€  859: 854: 850: 846: 841: 839: 835: 831: 800: 792: 789: 779: 776: 763: 760: 757: 751: 741: 728: 725: 722: 716: 702: 701: 700: 698: 695: â†’  694: 690: 686: 683: â†’  682: 678: 671: 667: 663: 660:-dimensional 659: 655: 636: 631: 627: 612: 608: 604: 601: 595: 592: 589: 575: 571: 567: 564: 558: 555: 550: 546: 533: 532: 531: 528: 524: 505: 502: 491: 487: 481: 476: 472: 468: 463: 459: 451: 450: 449: 432: 422: 414: 410: 406: 403: 397: 394: 386: 382: 378: 375: 369: 366: 361: 357: 349: 348: 347: 346:according to 345: 341: 337: 333: 328: 324: 320: 317: â†’  316: 312: 308: 305: â†’  304: 300: 296: 293:-dimensional 292: 288: 269: 264: 260: 245: 241: 237: 234: 228: 225: 222: 208: 204: 200: 197: 191: 188: 183: 179: 166: 165: 164: 162: 159: 155: 150: 146: 143: 139: 135: 132: 129: 125: 120: 116: 112: 108: 100: 98: 96: 92: 91:Kalman filter 88: 84: 79: 77: 73: 69: 65: 61: 57: 56:Wiener filter 53: 49: 46:'s work and 45: 41: 36: 34: 30: 26: 22: 4004: 3982: 3936: 3932: 3922: 3913: 3901: 3892: 3851:Zakai, Moshe 3846: 3834: 3826: 3821: 3813: 3805: 3704: 3700: 3656: 3652: 3648: 3644: 3640: 3636: 3631: 3627: 3623: 3619: 3617: 3301: 3297: 3295: 3084: 2701: 2670: 2668: 2405: 2380:in front of 2359: 2354: 2352: 2137: 2133: 1981: 1875: 1871: 1866: 1862: 1857: 1853: 1849: 1847: 1839: 1693: 1611: 1609: 1472: 1468: 1460: 1456: 1451: 1447: 1443: 1439: 1435: 1431: 1424: 1420: 1416: 1411:denotes the 1406: 1402: 1398: 1394: 1392: 1292: 1288: 1280: 1276: 1272: 1270: 1090: 1085: 1081: 1076: 1072: 1070: 959: 955: 951: 947: 943: 939: 935: 931: 930:. Denote by 927: 923: 918: 914: 909: 905: 900: 890: 886: 884: 878: 874: 869: 865: 861: 857: 852: 848: 844: 842: 837: 833: 829: 827: 696: 692: 688: 684: 680: 676: 669: 665: 657: 653: 651: 526: 522: 520: 447: 343: 339: 335: 331: 326: 322: 318: 314: 310: 306: 302: 298: 290: 286: 284: 163:of the form 153: 148: 144: 137: 133: 123: 118: 114: 110: 104: 80: 37: 24: 18: 3639:up to time 2052:and called 1874:up to time 1471:is any sub- 1427:) onto the 334:(note that 128:dimensional 105:Consider a 48:Moshe Zakai 4027:Categories 3866:0164.19201 3797:References 3659:and where 1271:The space 896:measurable 3781:Smoothing 3687:γ 3667:σ 3584:∘ 3559:⋅ 3530:− 3518:⋅ 3460:⋅ 3428:− 3406:⋅ 3369:− 3346:∗ 3252:⋅ 3200:∗ 3103:σ 3099:σ 3005:∂ 2992:∂ 2982:∂ 2964:∑ 2885:∂ 2881:∂ 2870:∑ 2866:− 2840:∗ 2801:∗ 2734:∫ 2639:⋅ 2604:− 2569:⋅ 2534:− 2528:⋅ 2476:∗ 2368:γ 2206:σ 1940:∈ 1712:^ 1563:Ω 1547:→ 1518:Σ 1512:Ω 1446:(Ω,  1314:^ 1218:− 1183:∈ 1141:^ 1131:− 1014:Ω 777:≤ 752:γ 596:γ 473:∫ 423:⋅ 398:γ 229:σ 97:problem. 25:filtering 4003:(2003). 3812:(1959). 3751:See also 1614:, i.e., 1467:that if 903:-algebra 828:for all 699:satisfy 58:and the 1694:Hence, 1459:;  1455:,  1438:,  1423:;  1279:,  942:,  4011:  3989:  3864:  3858:242552 3600:  3215:  3085:where 2815:is 2669:where 2491:  2433:reads 1908:  1393:where 901:σ 675:, and 652:where 285:where 2704:, 428:noise 140:is a 33:noisy 29:state 4009:ISBN 3987:ISBN 3756:The 3679:and 3651:and 3622:and 3300:and 843:The 832:and 687:and 338:and 3941:doi 3870:doi 3862:Zbl 1415:of 1249:(M) 1176:inf 894:is 330:in 158:Itō 122:in 4029:: 3955:^ 3935:. 3931:. 3880:^ 3868:, 3860:, 3855:MR 1093:: 840:. 530:: 297:, 23:, 4017:. 3995:. 3949:. 3943:: 3937:8 3872:: 3731:) 3728:y 3725:( 3720:t 3716:p 3705:Y 3701:Y 3657:Y 3653:c 3649:b 3645:Y 3641:t 3637:Z 3632:t 3628:Y 3624:q 3620:p 3603:. 3595:t 3591:Z 3587:d 3579:T 3575:] 3571:) 3568:) 3565:t 3562:, 3556:( 3553:c 3550:( 3543:t 3539:p 3534:E 3527:) 3524:t 3521:, 3515:( 3512:c 3509:[ 3503:t 3499:p 3495:+ 3492:t 3489:d 3485:] 3482:) 3477:2 3473:| 3469:) 3466:t 3463:, 3457:( 3454:c 3451:| 3448:( 3441:t 3437:p 3432:E 3423:2 3419:| 3415:) 3412:t 3409:, 3403:( 3400:c 3397:| 3394:[ 3388:t 3384:p 3377:2 3374:1 3366:t 3363:d 3357:t 3353:p 3341:t 3335:L 3329:= 3324:t 3320:p 3316:d 3302:q 3298:p 3281:. 3276:t 3272:Z 3268:d 3263:T 3259:] 3255:) 3249:, 3246:t 3243:( 3240:c 3237:[ 3232:t 3228:q 3224:+ 3221:t 3218:d 3210:t 3206:q 3195:t 3189:L 3183:= 3178:t 3174:q 3169:d 3145:) 3142:y 3139:( 3134:t 3130:q 3107:T 3096:= 3093:a 3070:] 3067:) 3064:y 3061:, 3058:t 3055:( 3052:f 3049:) 3046:y 3043:, 3040:t 3037:( 3032:j 3029:i 3025:a 3021:[ 3013:j 3009:y 3000:i 2996:y 2986:2 2974:j 2971:, 2968:i 2958:2 2955:1 2950:+ 2947:] 2944:) 2941:y 2938:, 2935:t 2932:( 2929:f 2926:) 2923:y 2920:, 2917:t 2914:( 2909:i 2905:b 2901:[ 2893:i 2889:y 2874:i 2863:= 2860:) 2857:y 2854:, 2851:t 2848:( 2845:f 2835:t 2829:L 2796:t 2790:L 2767:, 2764:y 2761:d 2758:) 2755:y 2752:( 2749:p 2746:) 2743:y 2740:( 2737:f 2731:= 2728:] 2725:f 2722:[ 2717:p 2713:E 2702:p 2686:p 2682:E 2671:T 2654:] 2651:t 2648:d 2645:) 2642:) 2636:, 2633:t 2630:( 2627:c 2624:( 2617:t 2613:p 2608:E 2599:t 2595:Z 2591:d 2588:[ 2583:T 2579:] 2575:) 2572:) 2566:, 2563:t 2560:( 2557:c 2554:( 2547:t 2543:p 2538:E 2531:) 2525:, 2522:t 2519:( 2516:c 2513:[ 2508:t 2504:p 2500:+ 2497:t 2494:d 2486:t 2482:p 2471:t 2465:L 2459:= 2454:t 2450:p 2445:d 2419:t 2415:p 2391:W 2388:d 2355:W 2338:. 2333:t 2329:W 2324:d 2320:+ 2317:t 2313:d 2308:) 2303:t 2299:Y 2295:, 2292:t 2289:( 2286:c 2283:= 2278:t 2274:Z 2269:d 2247:, 2242:t 2238:B 2233:d 2228:) 2223:t 2219:Y 2215:, 2212:t 2209:( 2203:+ 2200:t 2196:d 2191:) 2186:t 2182:Y 2178:, 2175:t 2172:( 2169:b 2166:= 2161:t 2157:Y 2152:d 2138:Z 2134:Y 2116:) 2113:y 2110:( 2105:t 2101:p 2080:) 2077:y 2074:( 2069:t 2065:q 2038:t 2034:Z 2030:d 2006:) 2003:y 2000:( 1995:t 1991:p 1967:, 1964:) 1959:t 1955:G 1950:| 1946:y 1943:d 1935:t 1931:Y 1927:( 1922:P 1917:= 1914:y 1911:d 1905:) 1902:y 1899:( 1894:t 1890:p 1876:t 1872:Z 1867:t 1863:G 1858:t 1854:Y 1850:t 1825:. 1820:] 1813:t 1809:G 1803:| 1796:t 1792:Y 1786:[ 1780:E 1776:= 1771:) 1764:t 1760:Y 1754:( 1747:) 1744:t 1741:, 1738:Z 1735:( 1732:K 1728:P 1724:= 1719:t 1709:Y 1679:. 1674:] 1669:F 1664:| 1659:X 1654:[ 1648:E 1644:= 1641:) 1638:X 1635:( 1630:K 1626:P 1612:E 1595:) 1590:n 1585:R 1580:; 1576:P 1572:, 1569:F 1566:, 1560:( 1555:2 1551:L 1544:) 1539:n 1534:R 1529:; 1525:P 1521:, 1515:, 1509:( 1504:2 1500:L 1496:: 1491:K 1487:P 1473:σ 1469:F 1461:R 1457:P 1452:t 1448:G 1444:L 1440:t 1436:Z 1434:( 1432:K 1425:R 1421:P 1417:L 1409:) 1407:t 1405:, 1403:Z 1401:( 1399:K 1395:P 1378:, 1373:) 1366:t 1362:Y 1356:( 1349:) 1346:t 1343:, 1340:Z 1337:( 1334:K 1330:P 1326:= 1321:t 1311:Y 1293:t 1289:Ŷ 1281:t 1277:Z 1275:( 1273:K 1243:. 1239:] 1233:2 1227:| 1221:Y 1213:t 1209:Y 1203:| 1197:[ 1192:E 1186:K 1180:Y 1172:= 1168:] 1162:2 1156:| 1148:t 1138:Y 1126:t 1122:Y 1116:| 1110:[ 1105:E 1091:K 1086:t 1082:Y 1077:t 1073:Ŷ 1056:. 1053:) 1048:n 1043:R 1038:; 1034:P 1030:, 1025:t 1021:G 1017:, 1011:( 1006:2 1002:L 998:= 995:) 992:t 989:, 986:Z 983:( 980:K 977:= 974:K 960:t 956:G 952:Y 948:R 944:t 940:Z 938:( 936:K 932:K 928:t 924:s 919:s 915:Z 910:t 906:G 891:t 887:Ŷ 879:t 875:Y 870:t 866:Ŷ 862:t 858:s 853:s 849:Z 838:C 834:x 830:t 811:) 805:| 801:x 797:| 793:+ 790:1 785:( 780:C 772:| 767:) 764:x 761:, 758:t 755:( 747:| 742:+ 737:| 732:) 729:x 726:, 723:t 720:( 717:c 712:| 697:R 693:R 689:γ 685:R 681:R 677:c 673:0 670:Y 666:B 658:r 654:W 637:, 632:t 628:W 623:d 618:) 613:t 609:Y 605:, 602:t 599:( 593:+ 590:t 586:d 581:) 576:t 572:Y 568:, 565:t 562:( 559:c 556:= 551:t 547:Z 542:d 527:t 523:Z 506:, 503:s 499:d 492:s 488:H 482:t 477:0 469:= 464:t 460:Z 433:. 420:) 415:t 411:Y 407:, 404:t 401:( 395:+ 392:) 387:t 383:Y 379:, 376:t 373:( 370:c 367:= 362:t 358:H 344:t 340:n 336:m 332:R 327:t 323:H 319:R 315:R 311:σ 307:R 303:R 299:b 291:p 287:B 270:, 265:t 261:B 256:d 251:) 246:t 242:Y 238:, 235:t 232:( 226:+ 223:t 219:d 214:) 209:t 205:Y 201:, 198:t 195:( 192:b 189:= 184:t 180:Y 175:d 154:R 149:t 145:Y 138:t 134:R 126:- 124:n 119:t 115:Y 111:P

Index

stochastic processes
state
noisy
Ruslan L. Stratonovich
Harold J. Kushner
Moshe Zakai
Zakai equation
Wiener filter
Kalman-Bucy filter
nonlinear filter
extended Kalman filter
projection filters
Particle filters
separation principle
optimal control
Kalman filter
linear-quadratic-Gaussian control
probability space
dimensional
Euclidean space
random variable
Itō
stochastic differential equation
Brownian motion
Brownian motion
measurable
σ-algebra
Hilbert space
orthogonal projection
linear subspace

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