-
2
-
-
85059423352
-
-
Boca Raton, FL: Chapman & Hall/CRC
-
Brooks, S., A. Gelman, G. L. Jones, and X.-L. Meng, eds. 2011. Handbook of Markov Chain Monte Carlo. Boca Raton, FL: Chapman & Hall/CRC.
-
(2011)
Handbook of Markov Chain Monte Carlo
-
-
Brooks, S.1
Gelman, A.2
Jones, G.L.3
Meng, X.-L.4
-
3
-
-
0347354945
-
An MCMC approach to classical estimation
-
Chernozhukov, V., and H. Hong. 2003. An MCMC approach to classical estimation. Journal of Econometrics 115: 293–346.
-
(2003)
Journal of Econometrics
, vol.115
, pp. 293-346
-
-
Chernozhukov, V.1
Hong, H.2
-
4
-
-
32344446687
-
Understanding the Metropolis–Hastings algorithm
-
Chib, S., and E. Greenberg. 1995. Understanding the Metropolis–Hastings algorithm. American Statistician 49: 327–335.
-
(1995)
American Statistician
, vol.49
, pp. 327-335
-
-
Chib, S.1
Greenberg, E.2
-
5
-
-
84972492387
-
Inference from iterative simulation using multiple sequences
-
Gelman, A., and D. B. Rubin. 1992. Inference from iterative simulation using multiple sequences. Statistical Science 7: 457–472.
-
(1992)
Statistical Science
, vol.7
, pp. 457-472
-
-
Gelman, A.1
Rubin, D.B.2
-
6
-
-
85059435623
-
Inference from simulations and monitoring convergence
-
S. Brooks, A. Gelman, G. L. Jones, and X.-L. Meng, Boca Raton, FL: Chapman & Hall/CRC
-
Gelman, A., and K. Shirley. 2011. Inference from simulations and monitoring convergence. In Handbook of Markov Chain Monte Carlo, ed. S. Brooks, A. Gelman, G. L. Jones, and X.-L. Meng, 163–174. Boca Raton, FL: Chapman & Hall/CRC.
-
(2011)
Handbook of Markov Chain Monte Carlo
, pp. 163-174
-
-
Gelman, A.1
Shirley, K.2
-
7
-
-
84918818472
-
Introduction to Markov Chain Monte Carlo
-
S. Brooks, A. Gelman, G. L. Jones, and X.-L. Meng, Boca Raton, FL: Chapman & Hall/CRC
-
Geyer, C. J. 2011. Introduction to Markov Chain Monte Carlo. In Handbook of Markov Chain Monte Carlo, ed. S. Brooks, A. Gelman, G. L. Jones, and X.-L. Meng, 3–48. Boca Raton, FL: Chapman & Hall/CRC.
-
(2011)
Handbook of Markov Chain Monte Carlo
, pp. 3-48
-
-
Geyer, C.J.1
-
8
-
-
36849023141
-
Fitting mixed logit models by using maximum simulated likelihood
-
Hole, A. R. 2007. Fitting mixed logit models by using maximum simulated likelihood. Stata Journal 7: 388–401.
-
(2007)
Stata Journal
, vol.7
, pp. 388-401
-
-
Hole, A.R.1
-
9
-
-
0000729681
-
Least absolute deviations estimation for the censored regression model
-
Powell, J. L. 1984. Least absolute deviations estimation for the censored regression model. Journal of Econometrics 25: 303–325.
-
(1984)
Journal of Econometrics
, vol.25
, pp. 303-325
-
-
Powell, J.L.1
-
10
-
-
38249039685
-
Censored regression quantiles
-
Powell, J. L. 1986. Censored regression quantiles. Journal of Econometrics 32: 143–155.
-
(1986)
Journal of Econometrics
, vol.32
, pp. 143-155
-
-
Powell, J.L.1
-
11
-
-
85055166148
-
Optimal proposal distributions and adaptive MCMC
-
S. Brooks, A. Gelman, G. L. Jones, and X.-L. Meng, Boca Raton, FL: Chapman & Hall/CRC
-
Rosenthal, J. S. 2011. Optimal proposal distributions and adaptive MCMC. In Handbook of Markov Chain Monte Carlo, ed. S. Brooks, A. Gelman, G. L. Jones, and X.-L. Meng, 93–112. Boca Raton, FL: Chapman & Hall/CRC.
-
(2011)
Handbook of Markov Chain Monte Carlo
, pp. 93-112
-
-
Rosenthal, J.S.1
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