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Journal articles on the topic 'Empirical Bayes'

To see the other types of publications on this topic, follow the link: Empirical Bayes.

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Published: 4 June 2021

Last updated: 11 February 2022

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1

Efron, Bradley. "Bayes, Oracle Bayes and Empirical Bayes." Statistical Science 34, no. 2 (May 2019): 177–201. http://dx.doi.org/10.1214/18-sts674.

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2

Efron, Bradley. "Rejoinder: Bayes, Oracle Bayes, and Empirical Bayes." Statistical Science 34, no. 2 (May 2019): 234–35. http://dx.doi.org/10.1214/19-sts674rej.

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3

Louis, Thomas A. "Comment: Bayes, Oracle Bayes, and Empirical Bayes." Statistical Science 34, no. 2 (May 2019): 202–5. http://dx.doi.org/10.1214/19-sts704.

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4

Laird, Nan. "Comment: Bayes, Oracle Bayes, and Empirical Bayes." Statistical Science 34, no. 2 (May 2019): 206–8. http://dx.doi.org/10.1214/19-sts705.

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5

van der Vaart, Aad. "Comment: Bayes, Oracle Bayes and Empirical Bayes." Statistical Science 34, no. 2 (May 2019): 214–18. http://dx.doi.org/10.1214/19-sts707.

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6

Karunamuni, R. J., and N. G. N. Prasad. "An improved Bayes empirical Bayes estimator." International Journal of Mathematics and Mathematical Sciences 2003, no. 2 (2003): 97–107. http://dx.doi.org/10.1155/s0161171203110046.

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7

Lindley, D. V., J. S. Maritz, and T. Lwin. "Empirical Bayes Methods." Mathematical Gazette 74, no. 467 (March 1990): 91. http://dx.doi.org/10.2307/3618894.

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8

Bagghi, Parthasarathy, J. S. Maritz, and T. Lwin. "Empirical Bayes Methods." Journal of the American Statistical Association 86, no. 413 (March 1991): 244. http://dx.doi.org/10.2307/2289739.

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9

Angus, John E. "Empirical Bayes Methods." Technometrics 33, no. 2 (May 1991): 243–45. http://dx.doi.org/10.1080/00401706.1991.10484821.

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10

Young, Karen, J. Maritz, and T. Lwin. "Empirical Bayes Methods." Applied Statistics 41, no. 3 (1992): 604. http://dx.doi.org/10.2307/2348097.

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11

Denham, Mike, J. S. Maritz, and T. Lwin. "Empirical Bayes Methods." Statistician 39, no. 1 (1990): 97. http://dx.doi.org/10.2307/2348214.

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12

Stephenson, W. Robert. "Empirical Bayes Methods." Journal of Quality Technology 22, no. 3 (July 1990): 249–50. http://dx.doi.org/10.1080/00224065.1990.11979250.

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13

Cui, Wen, and Edward I. George. "Empirical Bayes vs. fully Bayes variable selection." Journal of Statistical Planning and Inference 138, no. 4 (April 2008): 888–900. http://dx.doi.org/10.1016/j.jspi.2007.02.011.

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14

Petrone, S., J. Rousseau, and C. Scricciolo. "Bayes and empirical Bayes: do they merge?" Biometrika 101, no. 2 (April 9, 2014): 285–302. http://dx.doi.org/10.1093/biomet/ast067.

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15

Mariotto, Angela B. "Sensitivity of bayes and empirical bayes estimates." Communications in Statistics - Theory and Methods 19, no. 12 (January 1990): 4471–84. http://dx.doi.org/10.1080/03610929008830452.

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16

Deng, G. "Adaptive empirical Bayes filter." Electronics Letters 53, no. 21 (October 2017): 1398–400. http://dx.doi.org/10.1049/el.2017.1308.

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17

Cooke, Roger M. "Problems with Empirical Bayes." Risk Analysis 6, no. 3 (September 1986): 269–72. http://dx.doi.org/10.1111/j.1539-6924.1986.tb00217.x.

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18

Efron, Bradley. "Empirical Bayes deconvolution estimates." Biometrika 103, no. 1 (February 29, 2016): 1–20. http://dx.doi.org/10.1093/biomet/asv068.

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19

Raudenbush, Stephen W., and Anthony S. Bryk. "Empirical Bayes Meta-Analysis." Journal of Educational Statistics 10, no. 2 (June 1985): 75–98. http://dx.doi.org/10.3102/10769986010002075.

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Abstract:

As interest in quantitative research synthesis grows, investigators increasingly seek to use information about study features—study contexts, designs, treatments, and subjects—to account for variation in study outcomes. To facilitate analysis of diverse study findings, a mixed linear model with fixed and random effects is presented and illustrated with data from teacher expectancy experiments. This strategy enables the analyst to (a) estimate the variance of the effect size parameters by means of maximum likelihood; (b) pose a series of linear models to explain the effect parameter variance; (c) use information about study characteristics to derive improved empirical Bayes estimates of individual study effect sizes; and (d) examine the sensitivity of all substantive inferences to likely errors in the estimation of variance components.

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20

Laird, Nan M., and Thomas A. Louis. "Empirical Bayes Ranking Methods." Journal of Educational Statistics 14, no. 1 (March 1989): 29–46. http://dx.doi.org/10.3102/10769986014001029.

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Abstract:

Ranking problems arise in setting priorities for investigations, in providing a simple summary of performance, in comparing objects in a manner robust to measurement scale, and in a wide variety of other applications. Commonly, rankings are computed from measurements that depend on the true attribute. Using the Gaussian model, we propose and compare methods for using these measurements to estimate the ranks of the underlying attributes and show that those based on an empirical Bayes model produce estimates that differ from ranking observed data. These differences result both from the effect of shrinking posterior means towards a common value by an amount that depends on the precision of individual measurements and from the Bayes processing of the posterior distribution to produce estimates that account for the uncertainty in the distribution of the ranks. We illustrate different ranking methods using data on school achievement reported by Aitkin and Longford (1986) . Mathematical and empirical results highlight the importance of using appropriate ranking methods and identify issues requiring further research.

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21

Laird, Nan M., and Thomas A. Louis. "Empirical Bayes Ranking Methods." Journal of Educational Statistics 14, no. 1 (1989): 29. http://dx.doi.org/10.2307/1164724.

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22

Raudenbush, Stephen W., and Anthony S. Bryk. "Empirical Bayes Meta-Analysis." Journal of Educational Statistics 10, no. 2 (1985): 75. http://dx.doi.org/10.2307/1164836.

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23

Deboeck, Pascal R. "Empirical Bayes Derivative Estimates." Multivariate Behavioral Research 55, no. 3 (August 7, 2019): 382–404. http://dx.doi.org/10.1080/00273171.2019.1642729.

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24

Casella, G. "Empirical Bayes Gibbs sampling." Biostatistics 2, no. 4 (December 1, 2001): 485–500. http://dx.doi.org/10.1093/biostatistics/2.4.485.

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25

Casella, George. "Illustrating empirical Bayes methods." Chemometrics and Intelligent Laboratory Systems 16, no. 2 (October 1992): 107–25. http://dx.doi.org/10.1016/0169-7439(92)80050-e.

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26

Matsuda, Takeru, and Fumiyasu Komaki. "Empirical Bayes matrix completion." Computational Statistics & Data Analysis 137 (September 2019): 195–210. http://dx.doi.org/10.1016/j.csda.2019.02.006.

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27

Leonard, T., B. P. Carlin, and T. A. Louis. "Bayes and Empirical Bayes Methods for Data Analysis." Biometrics 53, no. 1 (March 1997): 385. http://dx.doi.org/10.2307/2533126.

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28

Lindley, D. V., Bradley P. Carlin, Thomas A. Louis, Jose M. Bernardo, and Adrian F. M. Smith. "Bayes and Empirical Bayes Methods for Data Analysis." Mathematical Gazette 85, no. 503 (July 2001): 381. http://dx.doi.org/10.2307/3622080.

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29

Lian, Heng. "Bayes and Empirical Bayes Inference in Changepoint Problems." Communications in Statistics - Theory and Methods 38, no. 3 (December 19, 2008): 419–30. http://dx.doi.org/10.1080/03610920802220801.

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30

Rukhin, Andrew L. "Bayes and Empirical Bayes Methods for Data Analysis." Technometrics 39, no. 3 (August 1997): 337. http://dx.doi.org/10.1080/00401706.1997.10485131.

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31

Li, Tze Fen, and Tseng-Chang Yen. "A Bayes Empirical Bayes Decision Rule for Classification." Communications in Statistics - Theory and Methods 34, no. 5 (May 2005): 1137–49. http://dx.doi.org/10.1081/sta-200056853.

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32

Fen Li, Tze. "On asymptotic optimality of bayes empirical bayes estimators." Communications in Statistics - Theory and Methods 16, no. 4 (January 1987): 1087–99. http://dx.doi.org/10.1080/03610928708829424.

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33

Sobel, Marc J. "Bayes and Empirical Bayes Procedures for Comparing Parameters." Journal of the American Statistical Association 88, no. 422 (June 1993): 687–93. http://dx.doi.org/10.1080/01621459.1993.10476323.

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34

Mazzuchi, T. A., and R. Soyer. "A Bayes empirical-Bayes model for software reliability." IEEE Transactions on Reliability 37, no. 2 (June 1988): 248–54. http://dx.doi.org/10.1109/24.3749.

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35

Tze Fen LI. "Bayes empirical Bayes estimation of a poisson mean." Statistics & Probability Letters 3, no. 6 (October 1985): 309–13. http://dx.doi.org/10.1016/0167-7152(85)90062-8.

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36

Jones, David R. "Bayes and Empirical Bayes methods for date analysis." International Journal of Epidemiology 30, no. 4 (August 2001): 910. http://dx.doi.org/10.1093/ije/30.4.910.

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37

Nebebe, Fassil, and T. W. F. Stroud. "Bayes and empirical Bayes shrinkage estimation of regression coefficients." Canadian Journal of Statistics 14, no. 4 (December 1986): 267–80. http://dx.doi.org/10.2307/3315184.

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38

Kubokawa, Tatsuya, and William E. Strawderman. "Dominance properties of constrained Bayes and empirical Bayes estimators." Bernoulli 19, no. 5B (November 2013): 2200–2221. http://dx.doi.org/10.3150/12-bej449.

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39

Gould, A. Lawrence. "Discussion of papers of session 3: Bayes/empirical bayes." Statistics in Medicine 11, no. 14-15 (1992): 2017–23. http://dx.doi.org/10.1002/sim.4780111418.

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40

Zhang, Shunpu, and Rohana J. Karunamuni. "Bayes and empirical Bayes estimation with errors in variables." Statistics & Probability Letters 33, no. 1 (April 1997): 23–34. http://dx.doi.org/10.1016/s0167-7152(96)00106-x.

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41

Merwe, A. J. Van Der, and P. C. N. Groenewald. "Bayes and Empirical Bayes Confidence Intervals in Applied Research." Statistician 36, no. 2/3 (1987): 171. http://dx.doi.org/10.2307/2348510.

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42

Wang, Lichun. "Bayes and empirical bayes tests for the life parameter." Applicationes Mathematicae 32, no. 2 (2005): 133–43. http://dx.doi.org/10.4064/am32-2-2.

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43

Chang, Shui-Ching, and Tze Fen Li. "Bayes Empirical Bayes Classification of Components Using Masked Data." Communications in Statistics - Theory and Methods 39, no. 13 (June 22, 2010): 2312–20. http://dx.doi.org/10.1080/03610921003778159.

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44

Maritz, J. S., and T. Lwin. "Empirical Bayes Methods, 2nd Edition." Biometrics 46, no. 3 (September 1990): 886. http://dx.doi.org/10.2307/2532124.

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45

Chen, Lee-Shen, and Ming-Chung Yang. "Empirical Bayes testing for equivalence." Journal of Statistical Planning and Inference 141, no. 8 (August 2011): 2670–81. http://dx.doi.org/10.1016/j.jspi.2011.02.019.

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46

Ashburner, John, and K. J. Friston. "Image warping using empirical Bayes." NeuroImage 13, no. 6 (June 2001): 64. http://dx.doi.org/10.1016/s1053-8119(01)91407-7.

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47

Sarhan, Ammar. "Non-parametric empirical Bayes procedure." Reliability Engineering & System Safety 80, no. 2 (May 2003): 115–22. http://dx.doi.org/10.1016/s0951-8320(03)00003-6.

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48

Karunamuni, Rohan. "ON EMPIRICAL BAYES STOPPING TIMES." Australian Journal of Statistics 31, no. 2 (June 1989): 315–26. http://dx.doi.org/10.1111/j.1467-842x.1989.tb00401.x.

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49

Miller, Robert W. "Parametric Empirical Bayes Tolerance Intervals." Technometrics 31, no. 4 (November 1989): 449–59. http://dx.doi.org/10.1080/00401706.1989.10488593.

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50

Wallach, D. "Empirical Bayes optimal fertilizer decisions." Journal of Applied Statistics 22, no. 4 (January 1995): 507–16. http://dx.doi.org/10.1080/757584787.

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