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Empirical process

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Dzhaparidze, K. O.; Nikulin, M. S. (1982). "Probability distributions of the Kolmogorov and omega-square statistics for continuous distributions with shift and scale parameters".
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Mojirsheibani, M. (2007). "Nonparametric curve estimation with missing data: A general empirical process approach".
3040: 2741: 1906: 1804: 1381: 2452: 2028: 1809: 2821: 2622: 2536: 2521: 1911: 622: 63: 2655: 2541: 1963: 1313: 2043: 2018: 1441: 2761: 2344: 1879: 2956: 2946: 2637: 2419: 2158: 2023: 1834: 2241: 2898: 2826: 2085: 2921: 2903: 2883: 2878: 2597: 2429: 2409: 2256: 2199: 2038: 1948: 583: 298: 55: 2389: 779: 2996: 2951: 2941: 2682: 2627: 2602: 2571: 2551: 2311: 2296: 2163: 1612:. Cambridge Studies in Advanced Mathematics. Vol. 63. Cambridge, UK: Cambridge University Press. 1037: 282: 1286: 985: 890: 2991: 2831: 2756: 2561: 2321: 2231: 2121: 754: 626: 302: 1013: 2961: 2926: 2841: 2811: 2581: 2576: 2399: 2236: 1901: 1839: 1778: 1717: 242: 43: 35: 2642: 1044:: sets of functions with the useful property that empirical processes indexed by these classes 2981: 2786: 2437: 2194: 2111: 2080: 1973: 1943: 1799: 1794: 1686: 1678: 1664: 1630: 1556:"Justification and Extension of Doob's Heuristic Approach to the Kolmogorov- Smirnov Theorems" 1540: 589: 59: 51: 2647: 2384: 3001: 2888: 2771: 2141: 2116: 2065: 1993: 1916: 1869: 1709: 1656: 1622: 1594: 1567: 1511: 1480: 1049: 660: 54:, limit theorems (as the number of objects becomes large) are considered and generalise the 2966: 2866: 2851: 2612: 2546: 2224: 2168: 2151: 1896: 1417: 1041: 28: 2781: 2013: 17: 2971: 2936: 2856: 2462: 2209: 2126: 2095: 2090: 2070: 2060: 2003: 1998: 1978: 1958: 1923: 1891: 1874: 326: 3034: 2873: 2414: 2251: 2246: 2204: 2146: 1968: 1884: 1824: 1721: 1644: 278: 2931: 2893: 2447: 2379: 2268: 2263: 2075: 2008: 1983: 1819: 2511: 2976: 2495: 2490: 2485: 2475: 2278: 2219: 2214: 2178: 1938: 1829: 1648: 1741: 1735: 1484: 2986: 2526: 2470: 2354: 1626: 1572: 1555: 1516: 1499: 225:{\displaystyle F_{n}(x)={\frac {1}{n}}\sum _{i=1}^{n}I_{(-\infty ,x]}(X_{i}),} 1599: 1582: 2480: 1660: 1683:
Weak Convergence and Empirical Processes: With Applications to Statistics
2307:
Generalized autoregressive conditional heteroskedasticity (GARCH) model
1747: 1713: 1205:{\displaystyle F_{n}(x)=P_{n}((-\infty ,x])=P_{n}I_{(-\infty ,x]}.} 1276:{\displaystyle {\mathcal {C}}=\{(-\infty ,x]:x\in \mathbb {R} \}.} 1742:
Introduction to Empirical Processes and Semiparametric Inference
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Introduction to Empirical Processes and Semiparametric Inference
876:{\displaystyle {\bigl (}G_{n}(c){\bigr )}_{c\in {\mathcal {C}}}} 1751: 1069: 971:{\displaystyle {\bigl (}G_{n}f{\bigr )}_{f\in {\mathcal {F}}}} 325:
A centered and scaled version of the empirical measure is the
62:. Applications of the theory of empirical processes arise in 1292: 1224: 991: 961: 896: 866: 301:. Glivenko and Cantelli strengthened this result by proving 1036:
A significant result in the area of empirical processes is
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Autoregressive conditional heteroskedasticity (ARCH) model
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In this case, empirical processes are indexed by a class
1815:
Independent and identically distributed random variables
1744:, by Michael Kosorok, another textbook available online. 98:
independent and identically-distributed random variables
2292:
Autoregressive integrated moving average (ARIMA) model
744:{\displaystyle N(0,\mathbb {E} (f-\mathbb {E} f)^{2})} 687:
converges in distribution to a normal random variable
269:) is a sequence of random variables which converge to 1384: 1316: 1289: 1221: 1104: 1016: 988: 923: 893: 822: 782: 757: 693: 663: 592: 433: 337: 124: 115:), the empirical distribution function is defined by 1500:"Generalization of the Theorem of Glivenko-Cantelli" 2914: 2719: 2681: 2590: 2504: 2461: 2428: 2320: 2277: 2187: 2104: 1860: 1785: 1653:
Empirical Processes with Applications to Statistics
410:{\displaystyle G_{n}(A)={\sqrt {n}}(P_{n}(A)-P(A))} 1408: 1366: 1299: 1275: 1204: 1024: 998: 970: 903: 875: 800: 768: 743: 679: 614: 571: 409: 224: 1539:(Third ed.). New York: John Wiley and Sons. 1052:. While it can be shown that Donsker classes are 2174:Stochastic chains with memory of variable length 1738:, by David Pollard, a textbook available online. 1583:"Central Limit Theorems for Empirical Measures" 1763: 1473:Journal of Statistical Planning and Inference 1409:{\displaystyle \ell ^{\infty }(\mathbb {R} )} 947: 926: 852: 825: 8: 1736:Empirical Processes: Theory and Applications 1267: 1232: 1006:, a collection of measurable functions from 2302:Autoregressive–moving-average (ARMA) model 1770: 1756: 1748: 1367:{\displaystyle {\sqrt {n}}(F_{n}(x)-F(x))} 1598: 1571: 1515: 1399: 1398: 1389: 1383: 1331: 1317: 1315: 1291: 1290: 1288: 1263: 1262: 1223: 1222: 1220: 1178: 1168: 1131: 1109: 1103: 1018: 1017: 1015: 990: 989: 987: 960: 959: 952: 946: 945: 935: 925: 924: 922: 895: 894: 892: 865: 864: 857: 851: 850: 834: 824: 823: 821: 792: 784: 783: 781: 759: 758: 756: 732: 721: 720: 707: 706: 692: 668: 662: 597: 591: 557: 556: 544: 528: 517: 503: 491: 470: 456: 444: 432: 420:It induces a map on measurable functions 374: 360: 342: 336: 210: 182: 172: 161: 147: 129: 123: 911:, a collection of measurable subsets of 46:that characterizes the deviation of the 1463: 1056:, the converse is not true in general. 2608:Doob's martingale convergence theorems 2360:Constant elasticity of variance (CEV) 2350:Chan–Karolyi–Longstaff–Sanders (CKLS) 1560:The Annals of Mathematical Statistics 1504:The Annals of Mathematical Statistics 7: 29:Process control § Control model 1307:is a Donsker class, in particular, 27:For the process control topic, see 2847:Skorokhod's representation theorem 2628:Law of large numbers (weak/strong) 1390: 1241: 1185: 1146: 653:. Similarly, for a fixed function 189: 25: 2817:Martingale representation theorem 1621:. Springer Series in Statistics. 801:{\displaystyle \mathbb {E} f^{2}} 2862:Stochastic differential equation 2752:Doob's optional stopping theorem 2747:Doob–Meyer decomposition theorem 1066:empirical distribution functions 106:cumulative distribution function 2732:Convergence of random variables 2618:Fisher–Tippett–Gnedenko theorem 48:empirical distribution function 2330:Binomial options pricing model 1610:Uniform Central Limit Theorems 1403: 1395: 1361: 1358: 1352: 1343: 1337: 1324: 1300:{\displaystyle {\mathcal {C}}} 1250: 1235: 1194: 1179: 1158: 1155: 1140: 1137: 1121: 1115: 999:{\displaystyle {\mathcal {F}}} 904:{\displaystyle {\mathcal {C}}} 846: 840: 738: 729: 711: 697: 609: 603: 550: 537: 482: 463: 437: 404: 401: 395: 386: 380: 367: 354: 348: 216: 203: 198: 183: 141: 135: 1: 2797:Kolmogorov continuity theorem 2633:Law of the iterated logarithm 1702:Journal of Soviet Mathematics 769:{\displaystyle \mathbb {E} f} 649:))) for fixed measurable set 2802:Kolmogorov extension theorem 2481:Generalized queueing network 1989:Interacting particle systems 1447:Weak convergence of measures 1025:{\displaystyle \mathbb {R} } 1934:Continuous-time random walk 1040:. It has led to a study of 3062: 2942:Extreme value theory (EVT) 2742:Doob decomposition theorem 2034:Ornstein–Uhlenbeck process 1805:Chinese restaurant process 1685:(2nd ed.). Springer. 1681:; Wellner, Jon A. (2000). 1485:10.1016/j.jspi.2006.02.016 26: 3010: 2822:Optional stopping theorem 2623:Large deviation principle 2375:Heath–Jarrow–Morton (HJM) 2312:Moving-average (MA) model 2297:Autoregressive (AR) model 2122:Hidden Markov model (HMM) 2056:Schramm–Loewner evolution 1627:10.1007/978-0-387-74978-5 1587:The Annals of Probability 1452:Glivenko–Cantelli theorem 1054:Glivenko–Cantelli classes 623:converges in distribution 320:Glivenko–Cantelli theorem 64:non-parametric statistics 50:from its expectation. In 3046:Nonparametric statistics 2737:DolĂŠans-Dade exponential 2567:Progressively measurable 2365:Cox–Ingersoll–Ross (CIR) 1535:Billingsley, P. (1995). 1442:Khmaladze transformation 1064:As an example, consider 615:{\displaystyle G_{n}(A)} 18:Empirical process theory 2957:Mathematical statistics 2947:Large deviations theory 2777:Infinitesimal generator 2638:Maximal ergodic theorem 2557:Piecewise-deterministic 2159:Random dynamical system 2024:Markov additive process 1661:10.1137/1.9780898719017 1617:Kosorok, M. R. (2008). 1573:10.1214/aoms/1177729445 1554:Donsker, M. D. (1952). 1537:Probability and Measure 1517:10.1214/aoms/1177728852 1283:It has been shown that 2792:Karhunen–Loève theorem 2727:Cameron–Martin formula 2691:Burkholder–Davis–Gundy 2086:Variance gamma process 1608:Dudley, R. M. (1999). 1600:10.1214/aop/1176995384 1581:Dudley, R. M. (1978). 1498:Wolfowitz, J. (1954). 1410: 1368: 1301: 1277: 1206: 1026: 1000: 972: 905: 877: 802: 770: 745: 681: 680:{\displaystyle G_{n}f} 616: 573: 533: 411: 226: 177: 2922:Actuarial mathematics 2884:Uniform integrability 2879:Stratonovich integral 2807:LĂŠvy–Prokhorov metric 2711:Marcinkiewicz–Zygmund 2598:Central limit theorem 2200:Gaussian random field 2029:McKean–Vlasov process 1949:Dyson Brownian motion 1810:Galton–Watson process 1679:van der Vaart, Aad W. 1411: 1369: 1302: 1278: 1207: 1027: 1001: 973: 906: 878: 803: 771: 746: 682: 617: 584:central limit theorem 574: 513: 412: 227: 157: 56:central limit theorem 2997:Time series analysis 2952:Mathematical finance 2837:Reflection principle 2164:Regenerative process 1964:Fleming–Viot process 1779:Stochastic processes 1382: 1314: 1287: 1219: 1102: 1014: 986: 921: 891: 820: 780: 755: 691: 661: 590: 431: 335: 283:law of large numbers 122: 2992:Stochastic analysis 2832:Quadratic variation 2827:Prokhorov's theorem 2762:Feynman–Kac formula 2232:Markov random field 1880:Birth–death process 303:uniform convergence 2962:Probability theory 2842:Skorokhod integral 2812:Malliavin calculus 2395:Korn-Kreer-Lenssen 2279:Time series models 2242:Pitman–Yor process 1714:10.1007/BF01239992 1406: 1364: 1297: 1273: 1202: 1095:they are given by 1068:. For real-valued 1022: 996: 968: 901: 873: 798: 766: 741: 677: 612: 569: 407: 252:For every (fixed) 243:indicator function 222: 60:empirical measures 44:stochastic process 36:probability theory 3041:Empirical process 3028: 3027: 2982:Signal processing 2701:Doob's upcrossing 2696:Doob's martingale 2660:Engelbert–Schmidt 2603:Donsker's theorem 2537:Feller-continuous 2405:Rendleman–Bartter 2195:Dirichlet process 2112:Branching process 2081:Telegraph process 1974:Geometric process 1954:Empirical process 1944:Diffusion process 1800:Branching process 1795:Bernoulli process 1692:978-0-387-94640-5 1670:978-0-89871-684-9 1636:978-0-387-74977-8 1322: 1072:random variables 1038:Donsker's theorem 980:empirical process 885:empirical process 511: 496: 461: 365: 155: 52:mean field theory 40:empirical process 16:(Redirected from 3053: 3002:Machine learning 2889:Usual hypotheses 2772:Girsanov theorem 2757:Dynkin's formula 2522:Continuous paths 2430:Actuarial models 2370:Garman–Kohlhagen 2340:Black–Karasinski 2335:Black–Derman–Toy 2322:Financial models 2188:Fields and other 2117:Gaussian process 2066:Sigma-martingale 1870:Additive process 1772: 1765: 1758: 1749: 1725: 1696: 1674: 1640: 1613: 1604: 1602: 1577: 1575: 1550: 1522: 1521: 1519: 1495: 1489: 1488: 1479:(9): 2733–2758. 1468: 1415: 1413: 1412: 1407: 1402: 1394: 1393: 1373: 1371: 1370: 1365: 1336: 1335: 1323: 1318: 1306: 1304: 1303: 1298: 1296: 1295: 1282: 1280: 1279: 1274: 1266: 1228: 1227: 1211: 1209: 1208: 1203: 1198: 1197: 1173: 1172: 1136: 1135: 1114: 1113: 1050:Gaussian process 1031: 1029: 1028: 1023: 1021: 1005: 1003: 1002: 997: 995: 994: 977: 975: 974: 969: 967: 966: 965: 964: 951: 950: 940: 939: 930: 929: 910: 908: 907: 902: 900: 899: 882: 880: 879: 874: 872: 871: 870: 869: 856: 855: 839: 838: 829: 828: 807: 805: 804: 799: 797: 796: 787: 775: 773: 772: 767: 762: 751:, provided that 750: 748: 747: 742: 737: 736: 724: 710: 686: 684: 683: 678: 673: 672: 641:)(1 âˆ’  629:random variable 621: 619: 618: 613: 602: 601: 578: 576: 575: 570: 568: 564: 560: 549: 548: 532: 527: 512: 504: 497: 492: 475: 474: 462: 457: 449: 448: 416: 414: 413: 408: 379: 378: 366: 361: 347: 346: 231: 229: 228: 223: 215: 214: 202: 201: 176: 171: 156: 148: 134: 133: 21: 3061: 3060: 3056: 3055: 3054: 3052: 3051: 3050: 3031: 3030: 3029: 3024: 3006: 2967:Queueing theory 2910: 2852:Skorokhod space 2715: 2706:Kunita–Watanabe 2677: 2643:Sanov's theorem 2613:Ergodic theorem 2586: 2582:Time-reversible 2500: 2463:Queueing models 2457: 2453:Sparre–Anderson 2443:CramĂŠr–Lundberg 2424: 2410:SABR volatility 2316: 2273: 2225:Boolean network 2183: 2169:Renewal process 2100: 2049:Non-homogeneous 2039:Poisson process 1929:Contact process 1892:Brownian motion 1862:Continuous time 1856: 1850:Maximal entropy 1781: 1776: 1732: 1699: 1693: 1677: 1671: 1643: 1637: 1616: 1607: 1580: 1553: 1547: 1534: 1531: 1529:Further reading 1526: 1525: 1497: 1496: 1492: 1470: 1469: 1465: 1460: 1438: 1418:Brownian bridge 1385: 1380: 1379: 1327: 1312: 1311: 1285: 1284: 1217: 1216: 1174: 1164: 1127: 1105: 1100: 1099: 1094: 1085: 1078: 1062: 1046:converge weakly 1042:Donsker classes 1012: 1011: 984: 983: 944: 931: 919: 918: 889: 888: 849: 830: 818: 817: 788: 778: 777: 753: 752: 728: 689: 688: 664: 659: 658: 593: 588: 587: 540: 502: 498: 466: 440: 429: 428: 370: 338: 333: 332: 313: 293: 264: 240: 206: 178: 125: 120: 119: 96: 87: 80: 72: 32: 23: 22: 15: 12: 11: 5: 3059: 3057: 3049: 3048: 3043: 3033: 3032: 3026: 3025: 3023: 3022: 3017: 3015:List of topics 3011: 3008: 3007: 3005: 3004: 2999: 2994: 2989: 2984: 2979: 2974: 2972:Renewal theory 2969: 2964: 2959: 2954: 2949: 2944: 2939: 2937:Ergodic theory 2934: 2929: 2927:Control theory 2924: 2918: 2916: 2912: 2911: 2909: 2908: 2907: 2906: 2901: 2891: 2886: 2881: 2876: 2871: 2870: 2869: 2859: 2857:Snell envelope 2854: 2849: 2844: 2839: 2834: 2829: 2824: 2819: 2814: 2809: 2804: 2799: 2794: 2789: 2784: 2779: 2774: 2769: 2764: 2759: 2754: 2749: 2744: 2739: 2734: 2729: 2723: 2721: 2717: 2716: 2714: 2713: 2708: 2703: 2698: 2693: 2687: 2685: 2679: 2678: 2676: 2675: 2656:Borel–Cantelli 2645: 2640: 2635: 2630: 2625: 2620: 2615: 2610: 2605: 2600: 2594: 2592: 2591:Limit theorems 2588: 2587: 2585: 2584: 2579: 2574: 2569: 2564: 2559: 2554: 2549: 2544: 2539: 2534: 2529: 2524: 2519: 2514: 2508: 2506: 2502: 2501: 2499: 2498: 2493: 2488: 2483: 2478: 2473: 2467: 2465: 2459: 2458: 2456: 2455: 2450: 2445: 2440: 2434: 2432: 2426: 2425: 2423: 2422: 2417: 2412: 2407: 2402: 2397: 2392: 2387: 2382: 2377: 2372: 2367: 2362: 2357: 2352: 2347: 2342: 2337: 2332: 2326: 2324: 2318: 2317: 2315: 2314: 2309: 2304: 2299: 2294: 2289: 2283: 2281: 2275: 2274: 2272: 2271: 2266: 2261: 2260: 2259: 2254: 2244: 2239: 2234: 2229: 2228: 2227: 2222: 2212: 2210:Hopfield model 2207: 2202: 2197: 2191: 2189: 2185: 2184: 2182: 2181: 2176: 2171: 2166: 2161: 2156: 2155: 2154: 2149: 2144: 2139: 2129: 2127:Markov process 2124: 2119: 2114: 2108: 2106: 2102: 2101: 2099: 2098: 2096:Wiener sausage 2093: 2091:Wiener process 2088: 2083: 2078: 2073: 2071:Stable process 2068: 2063: 2061:Semimartingale 2058: 2053: 2052: 2051: 2046: 2036: 2031: 2026: 2021: 2016: 2011: 2006: 2004:Jump diffusion 2001: 1996: 1991: 1986: 1981: 1979:Hawkes process 1976: 1971: 1966: 1961: 1959:Feller process 1956: 1951: 1946: 1941: 1936: 1931: 1926: 1924:Cauchy process 1921: 1920: 1919: 1914: 1909: 1904: 1899: 1889: 1888: 1887: 1877: 1875:Bessel process 1872: 1866: 1864: 1858: 1857: 1855: 1854: 1853: 1852: 1847: 1842: 1837: 1827: 1822: 1817: 1812: 1807: 1802: 1797: 1791: 1789: 1783: 1782: 1777: 1775: 1774: 1767: 1760: 1752: 1746: 1745: 1739: 1731: 1730:External links 1728: 1727: 1726: 1697: 1691: 1675: 1669: 1649:Wellner, J. A. 1645:Shorack, G. R. 1641: 1635: 1614: 1605: 1593:(6): 899–929. 1578: 1566:(2): 277–281. 1551: 1545: 1530: 1527: 1524: 1523: 1490: 1462: 1461: 1459: 1456: 1455: 1454: 1449: 1444: 1437: 1434: 1433: 1432: 1405: 1401: 1397: 1392: 1388: 1363: 1360: 1357: 1354: 1351: 1348: 1345: 1342: 1339: 1334: 1330: 1326: 1321: 1294: 1272: 1269: 1265: 1261: 1258: 1255: 1252: 1249: 1246: 1243: 1240: 1237: 1234: 1231: 1226: 1213: 1212: 1201: 1196: 1193: 1190: 1187: 1184: 1181: 1177: 1171: 1167: 1163: 1160: 1157: 1154: 1151: 1148: 1145: 1142: 1139: 1134: 1130: 1126: 1123: 1120: 1117: 1112: 1108: 1090: 1083: 1076: 1061: 1058: 1034: 1033: 1020: 993: 963: 958: 955: 949: 943: 938: 934: 928: 916: 898: 868: 863: 860: 854: 848: 845: 842: 837: 833: 827: 795: 791: 786: 765: 761: 740: 735: 731: 727: 723: 719: 716: 713: 709: 705: 702: 699: 696: 676: 671: 667: 611: 608: 605: 600: 596: 580: 579: 567: 563: 559: 555: 552: 547: 543: 539: 536: 531: 526: 523: 520: 516: 510: 507: 501: 495: 490: 487: 484: 481: 478: 473: 469: 465: 460: 455: 452: 447: 443: 439: 436: 418: 417: 406: 403: 400: 397: 394: 391: 388: 385: 382: 377: 373: 369: 364: 359: 356: 353: 350: 345: 341: 327:signed measure 309: 289: 281:by the strong 260: 236: 233: 232: 221: 218: 213: 209: 205: 200: 197: 194: 191: 188: 185: 181: 175: 170: 167: 164: 160: 154: 151: 146: 143: 140: 137: 132: 128: 92: 85: 78: 71: 68: 24: 14: 13: 10: 9: 6: 4: 3: 2: 3058: 3047: 3044: 3042: 3039: 3038: 3036: 3021: 3018: 3016: 3013: 3012: 3009: 3003: 3000: 2998: 2995: 2993: 2990: 2988: 2985: 2983: 2980: 2978: 2975: 2973: 2970: 2968: 2965: 2963: 2960: 2958: 2955: 2953: 2950: 2948: 2945: 2943: 2940: 2938: 2935: 2933: 2930: 2928: 2925: 2923: 2920: 2919: 2917: 2913: 2905: 2902: 2900: 2897: 2896: 2895: 2892: 2890: 2887: 2885: 2882: 2880: 2877: 2875: 2874:Stopping time 2872: 2868: 2865: 2864: 2863: 2860: 2858: 2855: 2853: 2850: 2848: 2845: 2843: 2840: 2838: 2835: 2833: 2830: 2828: 2825: 2823: 2820: 2818: 2815: 2813: 2810: 2808: 2805: 2803: 2800: 2798: 2795: 2793: 2790: 2788: 2785: 2783: 2780: 2778: 2775: 2773: 2770: 2768: 2765: 2763: 2760: 2758: 2755: 2753: 2750: 2748: 2745: 2743: 2740: 2738: 2735: 2733: 2730: 2728: 2725: 2724: 2722: 2718: 2712: 2709: 2707: 2704: 2702: 2699: 2697: 2694: 2692: 2689: 2688: 2686: 2684: 2680: 2673: 2669: 2665: 2664:Hewitt–Savage 2661: 2657: 2653: 2649: 2648:Zero–one laws 2646: 2644: 2641: 2639: 2636: 2634: 2631: 2629: 2626: 2624: 2621: 2619: 2616: 2614: 2611: 2609: 2606: 2604: 2601: 2599: 2596: 2595: 2593: 2589: 2583: 2580: 2578: 2575: 2573: 2570: 2568: 2565: 2563: 2560: 2558: 2555: 2553: 2550: 2548: 2545: 2543: 2540: 2538: 2535: 2533: 2530: 2528: 2525: 2523: 2520: 2518: 2515: 2513: 2510: 2509: 2507: 2503: 2497: 2494: 2492: 2489: 2487: 2484: 2482: 2479: 2477: 2474: 2472: 2469: 2468: 2466: 2464: 2460: 2454: 2451: 2449: 2446: 2444: 2441: 2439: 2436: 2435: 2433: 2431: 2427: 2421: 2418: 2416: 2413: 2411: 2408: 2406: 2403: 2401: 2398: 2396: 2393: 2391: 2388: 2386: 2383: 2381: 2378: 2376: 2373: 2371: 2368: 2366: 2363: 2361: 2358: 2356: 2353: 2351: 2348: 2346: 2345:Black–Scholes 2343: 2341: 2338: 2336: 2333: 2331: 2328: 2327: 2325: 2323: 2319: 2313: 2310: 2308: 2305: 2303: 2300: 2298: 2295: 2293: 2290: 2288: 2285: 2284: 2282: 2280: 2276: 2270: 2267: 2265: 2262: 2258: 2255: 2253: 2250: 2249: 2248: 2247:Point process 2245: 2243: 2240: 2238: 2235: 2233: 2230: 2226: 2223: 2221: 2218: 2217: 2216: 2213: 2211: 2208: 2206: 2205:Gibbs measure 2203: 2201: 2198: 2196: 2193: 2192: 2190: 2186: 2180: 2177: 2175: 2172: 2170: 2167: 2165: 2162: 2160: 2157: 2153: 2150: 2148: 2145: 2143: 2140: 2138: 2135: 2134: 2133: 2130: 2128: 2125: 2123: 2120: 2118: 2115: 2113: 2110: 2109: 2107: 2103: 2097: 2094: 2092: 2089: 2087: 2084: 2082: 2079: 2077: 2074: 2072: 2069: 2067: 2064: 2062: 2059: 2057: 2054: 2050: 2047: 2045: 2042: 2041: 2040: 2037: 2035: 2032: 2030: 2027: 2025: 2022: 2020: 2017: 2015: 2012: 2010: 2007: 2005: 2002: 2000: 1997: 1995: 1994:ItĂ´ diffusion 1992: 1990: 1987: 1985: 1982: 1980: 1977: 1975: 1972: 1970: 1969:Gamma process 1967: 1965: 1962: 1960: 1957: 1955: 1952: 1950: 1947: 1945: 1942: 1940: 1937: 1935: 1932: 1930: 1927: 1925: 1922: 1918: 1915: 1913: 1910: 1908: 1905: 1903: 1900: 1898: 1895: 1894: 1893: 1890: 1886: 1883: 1882: 1881: 1878: 1876: 1873: 1871: 1868: 1867: 1865: 1863: 1859: 1851: 1848: 1846: 1843: 1841: 1840:Self-avoiding 1838: 1836: 1833: 1832: 1831: 1828: 1826: 1825:Moran process 1823: 1821: 1818: 1816: 1813: 1811: 1808: 1806: 1803: 1801: 1798: 1796: 1793: 1792: 1790: 1788: 1787:Discrete time 1784: 1780: 1773: 1768: 1766: 1761: 1759: 1754: 1753: 1750: 1743: 1740: 1737: 1734: 1733: 1729: 1723: 1719: 1715: 1711: 1707: 1703: 1698: 1694: 1688: 1684: 1680: 1676: 1672: 1666: 1662: 1658: 1654: 1650: 1646: 1642: 1638: 1632: 1628: 1624: 1620: 1615: 1611: 1606: 1601: 1596: 1592: 1588: 1584: 1579: 1574: 1569: 1565: 1561: 1557: 1552: 1548: 1542: 1538: 1533: 1532: 1528: 1518: 1513: 1509: 1505: 1501: 1494: 1491: 1486: 1482: 1478: 1474: 1467: 1464: 1457: 1453: 1450: 1448: 1445: 1443: 1440: 1439: 1435: 1430: 1426: 1422: 1419: 1386: 1377: 1355: 1349: 1346: 1340: 1332: 1328: 1319: 1310: 1309: 1308: 1270: 1259: 1256: 1253: 1247: 1244: 1238: 1229: 1199: 1191: 1188: 1182: 1175: 1169: 1165: 1161: 1152: 1149: 1143: 1132: 1128: 1124: 1118: 1110: 1106: 1098: 1097: 1096: 1093: 1089: 1082: 1075: 1071: 1067: 1059: 1057: 1055: 1051: 1048:to a certain 1047: 1043: 1039: 1009: 981: 978:is called an 956: 953: 941: 936: 932: 917: 914: 886: 883:is called an 861: 858: 843: 835: 831: 816: 815: 814: 813: 809: 793: 789: 763: 733: 725: 717: 714: 703: 700: 694: 674: 669: 665: 656: 652: 648: 644: 640: 636: 632: 628: 624: 606: 598: 594: 585: 565: 561: 553: 545: 541: 534: 529: 524: 521: 518: 514: 508: 505: 499: 493: 488: 485: 479: 476: 471: 467: 458: 453: 450: 445: 441: 434: 427: 426: 425: 423: 398: 392: 389: 383: 375: 371: 362: 357: 351: 343: 339: 331: 330: 329: 328: 323: 321: 317: 312: 308: 304: 300: 297: 294:converges to 292: 288: 284: 280: 279:almost surely 276: 272: 268: 263: 259: 255: 250: 248: 244: 239: 219: 211: 207: 195: 192: 186: 179: 173: 168: 165: 162: 158: 152: 149: 144: 138: 130: 126: 118: 117: 116: 114: 110: 107: 103: 99: 95: 91: 84: 77: 69: 67: 65: 61: 57: 53: 49: 45: 41: 37: 30: 19: 2932:Econometrics 2894:Wiener space 2782:ItĂ´ integral 2683:Inequalities 2572:Self-similar 2542:Gauss–Markov 2532:Exchangeable 2512:CĂ dlĂ g paths 2448:Risk process 2400:LIBOR market 2269:Random graph 2264:Random field 2076:Superprocess 2014:LĂŠvy process 2009:Jump process 1984:Hunt process 1953: 1820:Markov chain 1705: 1701: 1682: 1652: 1618: 1609: 1590: 1586: 1563: 1559: 1536: 1507: 1503: 1493: 1476: 1472: 1466: 1428: 1424: 1420: 1214: 1091: 1087: 1080: 1073: 1063: 1035: 1007: 979: 912: 884: 811: 810: 654: 650: 646: 642: 638: 634: 630: 581: 421: 419: 324: 315: 310: 306: 295: 290: 286: 274: 270: 266: 261: 257: 253: 251: 246: 237: 234: 112: 108: 104:with common 101: 93: 89: 82: 75: 73: 39: 33: 2977:Ruin theory 2915:Disciplines 2787:ItĂ´'s lemma 2562:Predictable 2237:Percolation 2220:Potts model 2215:Ising model 2179:White noise 2137:Differences 1999:ItĂ´ process 1939:Cox process 1835:Loop-erased 1830:Random walk 1708:(3): 2147. 1510:: 131–138. 982:indexed by 887:indexed by 285:. That is, 245:of the set 3035:Categories 2987:Statistics 2767:Filtration 2668:Kolmogorov 2652:Blumenthal 2577:Stationary 2517:Continuous 2505:Properties 2390:Hull–White 2132:Martingale 2019:Local time 1907:Fractional 1885:pure birth 1546:0471007102 1458:References 1374:converges 812:Definition 70:Definition 2899:Classical 1912:Geometric 1902:Excursion 1722:123206522 1391:∞ 1387:ℓ 1347:− 1260:∈ 1242:∞ 1239:− 1186:∞ 1183:− 1147:∞ 1144:− 957:∈ 862:∈ 718:− 633:(0,  554:− 515:∑ 477:− 438:↦ 424:given by 390:− 299:pointwise 190:∞ 187:− 159:∑ 3020:Category 2904:Abstract 2438:BĂźhlmann 2044:Compound 1651:(2009). 1436:See also 2527:Ergodic 2415:Vašíček 2257:Poisson 1917:Meander 1086:, ..., 1060:Example 808:exist. 582:By the 318:by the 241:is the 235:where I 2867:Tanaka 2552:Mixing 2547:Markov 2420:Wilkie 2385:Ho–Lee 2380:Heston 2152:Super- 1897:Bridge 1845:Biased 1720:  1689:  1667:  1633:  1543:  1376:weakly 627:normal 88:, ... 2720:Tools 2496:M/M/c 2491:M/M/1 2486:M/G/1 2476:Fluid 2142:Local 1718:S2CID 1416:to a 625:to a 42:is a 38:, an 2672:LĂŠvy 2471:Bulk 2355:Chen 2147:Sub- 2105:Both 1687:ISBN 1665:ISBN 1631:ISBN 1541:ISBN 1431:)) . 776:and 74:For 58:for 2252:Cox 1710:doi 1657:doi 1623:doi 1595:doi 1568:doi 1512:doi 1481:doi 1477:137 1378:in 1070:iid 1010:to 314:to 305:of 100:in 34:In 3037:: 2670:, 2666:, 2662:, 2658:, 2654:, 1716:. 1706:20 1704:. 1663:. 1655:. 1647:; 1629:. 1589:. 1585:. 1564:23 1562:. 1558:. 1508:25 1506:. 1502:. 1475:. 1079:, 657:, 586:, 322:. 277:) 256:, 249:. 81:, 66:. 2674:) 2650:( 1771:e 1764:t 1757:v 1724:. 1712:: 1695:. 1673:. 1659:: 1639:. 1625:: 1603:. 1597:: 1591:6 1576:. 1570:: 1549:. 1520:. 1514:: 1487:. 1483:: 1429:x 1427:( 1425:F 1423:( 1421:B 1404:) 1400:R 1396:( 1362:) 1359:) 1356:x 1353:( 1350:F 1344:) 1341:x 1338:( 1333:n 1329:F 1325:( 1320:n 1293:C 1271:. 1268:} 1264:R 1257:x 1254:: 1251:] 1248:x 1245:, 1236:( 1233:{ 1230:= 1225:C 1200:. 1195:] 1192:x 1189:, 1180:( 1176:I 1170:n 1166:P 1162:= 1159:) 1156:] 1153:x 1150:, 1141:( 1138:( 1133:n 1129:P 1125:= 1122:) 1119:x 1116:( 1111:n 1107:F 1092:n 1088:X 1084:2 1081:X 1077:1 1074:X 1032:. 1019:R 1008:S 992:F 962:F 954:f 948:) 942:f 937:n 933:G 927:( 915:. 913:S 897:C 867:C 859:c 853:) 847:) 844:c 841:( 836:n 832:G 826:( 794:2 790:f 785:E 764:f 760:E 739:) 734:2 730:) 726:f 722:E 715:f 712:( 708:E 704:, 701:0 698:( 695:N 675:f 670:n 666:G 655:f 651:A 647:A 645:( 643:P 639:A 637:( 635:P 631:N 610:) 607:A 604:( 599:n 595:G 566:) 562:f 558:E 551:) 546:i 542:X 538:( 535:f 530:n 525:1 522:= 519:i 509:n 506:1 500:( 494:n 489:= 486:f 483:) 480:P 472:n 468:P 464:( 459:n 454:= 451:f 446:n 442:G 435:f 422:f 405:) 402:) 399:A 396:( 393:P 387:) 384:A 381:( 376:n 372:P 368:( 363:n 358:= 355:) 352:A 349:( 344:n 340:G 316:F 311:n 307:F 296:F 291:n 287:F 275:x 273:( 271:F 267:x 265:( 262:n 258:F 254:x 247:C 238:C 220:, 217:) 212:i 208:X 204:( 199:] 196:x 193:, 184:( 180:I 174:n 169:1 166:= 163:i 153:n 150:1 145:= 142:) 139:x 136:( 131:n 127:F 113:x 111:( 109:F 102:R 94:n 90:X 86:2 83:X 79:1 76:X 31:. 20:)

Index

Empirical process theory
Process control § Control model
probability theory
stochastic process
empirical distribution function
mean field theory
central limit theorem
empirical measures
non-parametric statistics
independent and identically-distributed random variables
cumulative distribution function
indicator function
almost surely
law of large numbers
pointwise
uniform convergence
Glivenko–Cantelli theorem
signed measure
central limit theorem
converges in distribution
normal
Donsker's theorem
Donsker classes
converge weakly
Gaussian process
Glivenko–Cantelli classes
empirical distribution functions
iid
weakly
Brownian bridge

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