Knowledge (XXG)

Quasi-maximum likelihood estimate

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estimate maximizes the actual log likelihood function for the data and model. The function that is maximized to form a QMLE is often a simplified form of the actual log likelihood function. A common way to form such a simplified function is to use the log-likelihood function of a misspecified model
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than the maximum likelihood estimate, but may only be slightly less efficient if the quasi-likelihood is constructed so as to minimize the loss of information relative to the actual likelihood. Standard approaches to statistical inference that are used with maximum likelihood estimates, such as the
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that treats certain data values as being independent, even when in actuality they may not be. This removes any parameters from the model that are used to characterize these dependencies. Doing this only makes sense if the dependency structure is a
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with respect to the goals of the analysis. As long as the quasi-likelihood function that is maximized is not oversimplified, the QMLE (or composite likelihood estimate) is
54:, but in discussing the consistency and (asymptotic) variance-covariance matrix, we assume some parts of the distribution may be mis-specified. In contrast, the 90: 291: 149: 76:
formation of confidence intervals, and statistics for model comparison, can be generalized to the quasi-maximum likelihood setting.
72: 113:. Contemporary Mathematics. Vol. 80. Providence, RI: American Mathematical Society. pp. 221–239. 224: 64: 229: 68: 51: 215:
Cox, D.R.; Reid, Nancy (2004). "A note on pseudo-likelihood constructed from marginal densities".
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that is formed by maximizing a function that is related to the logarithm of the
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Statistical inference from stochastic processes (Ithaca, NY, 1987)
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Gourieroux, Christian; Monfort, Alain; Trognon, Alain (1984).
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Lindsay, Bruce G. (1988). "Composite likelihood methods".
144:. New York, New York: Oxford University Press. 8: 167:"Pseudo Maximum Likelihood Methods: Theory" 140:Davidson, Russel; MacKinnon, James (2004). 228: 91:Partial likelihood methods for panel data 252:Varin, Cristiano; Vidoni, Paolo (2005). 29:quasi-maximum likelihood estimate (QMLE) 101: 7: 25: 142:Econometric Theory and Methods 1: 292:Maximum likelihood estimation 37:composite likelihood estimate 308: 33:pseudo-likelihood estimate 18:Quasi-maximum likelihood 273:10.1093/biomet/92.3.519 239:10.1093/biomet/91.3.729 119:10.1090/conm/080/999014 39:, is an estimate of a 67:and asymptotically 52:likelihood function 61:nuisance parameter 56:maximum likelihood 31:, also known as a 151:978-0-19-512372-2 48:statistical model 16:(Redirected from 299: 277: 276: 258: 249: 243: 242: 232: 212: 206: 205: 171: 162: 156: 155: 137: 131: 130: 106: 86:Quasi-likelihood 27:In statistics a 21: 307: 306: 302: 301: 300: 298: 297: 296: 282: 281: 280: 256: 251: 250: 246: 230:10.1.1.136.7476 214: 213: 209: 186:10.2307/1913471 169: 164: 163: 159: 152: 139: 138: 134: 108: 107: 103: 99: 82: 23: 22: 15: 12: 11: 5: 305: 303: 295: 294: 284: 283: 279: 278: 267:(3): 519–528. 244: 223:(3): 729–737. 207: 180:(3): 681–700. 157: 150: 132: 100: 98: 95: 94: 93: 88: 81: 78: 71:. It is less 24: 14: 13: 10: 9: 6: 4: 3: 2: 304: 293: 290: 289: 287: 274: 270: 266: 262: 255: 248: 245: 240: 236: 231: 226: 222: 218: 211: 208: 203: 199: 195: 191: 187: 183: 179: 175: 168: 161: 158: 153: 147: 143: 136: 133: 128: 124: 120: 116: 112: 105: 102: 96: 92: 89: 87: 84: 83: 79: 77: 74: 70: 66: 62: 57: 53: 49: 45: 42: 38: 34: 30: 19: 264: 260: 247: 220: 216: 210: 177: 174:Econometrica 173: 160: 141: 135: 110: 104: 43: 36: 32: 28: 26: 261:Biometrika 217:Biometrika 97:References 65:consistent 225:CiteSeerX 202:122981013 73:efficient 41:parameter 286:Category 80:See also 194:1913471 127:0999014 227:  200:  192:  148:  125:  69:normal 257:(PDF) 198:S2CID 190:JSTOR 170:(PDF) 46:in a 35:or a 146:ISBN 269:doi 235:doi 182:doi 115:doi 288:: 265:92 263:. 259:. 233:. 221:91 219:. 196:. 188:. 178:52 176:. 172:. 123:MR 121:. 275:. 271:: 241:. 237:: 204:. 184:: 154:. 129:. 117:: 44:θ 20:)

Index

Quasi-maximum likelihood
parameter
statistical model
likelihood function
maximum likelihood
nuisance parameter
consistent
normal
efficient
Quasi-likelihood
Partial likelihood methods for panel data
doi
10.1090/conm/080/999014
MR
0999014
ISBN
978-0-19-512372-2
"Pseudo Maximum Likelihood Methods: Theory"
doi
10.2307/1913471
JSTOR
1913471
S2CID
122981013
CiteSeerX
10.1.1.136.7476
doi
10.1093/biomet/91.3.729
"A note on composite likelihood inference and model selection"
doi

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