Books

• National Research Council. (2010). Envisioning the 2020 Census. Panel on the Design of the 2020 Census Program of Evaluations and Experiments. Lawrence D. Brown, Michael L. Cohen, Daniel L. Cork, and Constance F. Citro, eds. Committee on National Statistics, Division of Behavioral and Social Sciences and Education. Washington, DC: National Academies Press


• Brown, L.D., Plewes, T.J., and Gerstein, M.A. (2005). Measuring Research and Development in the United States Economy, National Academies Press (paperback, 194 pages)


• Brown, L.D. (1986). Fundamentals of Statistical Exponential Families with Applications in Statistical Decision Theory, Inst. of Math. Statist., Hayward, California.


• Brown, L.D., Olkin, I., Sacks, J., and Wynn, H.P. (1986). Jack Carl Kiefer Collected Papers Supplementary Volume, Springer-Verlag, New York.


• Brown, L.D., Olkin, I., Sacks, J., and Wynn, H.P. (1985). Jack Carl Kiefer Collected Papers, 3 vols., Springer-Verlag, New York.

Research Articles
2016 and After | 2011 -- 2015 | 2006 -- 2010 | 2001 -- 2005 | 1996 -- 2000
1991 -- 1995 | 1986 -- 1990 | 1981 -- 1985 | 1976 -- 1980 | 1975 and Earlier

2016 and After

• Berk, R., Brown, L. D., Buja, A., George, E., and Zhao, L. (2017). Working With Misspecified Regression Models. Submitted.


• Brown, L. D., Mukherjee, G., Weinstein, A. (2017). Empirical Bayes Estimates for a 2-Way Cross-Classified Additive Model. Submitted.


• Azriel D., Brown L. D., Sklar M., Berk R., Buja A., Zhao L. (2017). Semi-Supervised linear regression. Submitted.


• Zhang, A., Brown, L. D., Cai, T. T. (2017). Semi-supervised Inference: General Theory and Estimation of Means. Submitted.


• Brown, L.D., Ernst, P., and Shepp, L. (2017). Multiple collection estimation of population size. Submitted.


• Weinstein, A, Ma, Z., Brown, L. D., and Zhang, C.H. (2017). Group-Linear Empirical Bayes Estimates for a Heteroscedastic Normal Mean. Jour Amer Statist Assoc, to appear.


• Mukherjee, G., Brown, L. D. and Rusmevichientong, P. (2017). Efficient Empirical Bayes prediction under check loss using Asymptotic Risk Estimates, The Annals of Statistics, submitted.


• Buja, A., Berk, R., Brown, L. D., George, E., Kuchibhotla, A. K. and Zhao, L. (2017). Models as Approximations -- A General Theory for Model-robust Regression. Statistical Science, revision submitted.


• Buja, A., Berk, R., Brown, L. D., George, E., Pitkin, E., Traskin, M., Zhao, L., and Zhang, K. (2017). Models as Approximations -- A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression. Statistical Science, revision submitted.


• Pitkin, E., Berk, R., Brown, L. D., Buja, A., George, E., Zhao, L. (2017). An Asymptotically Powerful Test for the Average Treatment Effect, submitted.


• Ernst, P. A., Brown, L. D., Shepp, L., and Wolpert, R. (2017). Stationary Gaussian Markov Processes as Limits of Stationary Autoregressive Time Series, Journal of Multivariate Analysis, to appear.


• McCarthy, D., Zhang, K., Berk, R., Brown, L. D., Buja, A., George, E., Zhao, L. (2017). Calibrated Percentile Double Bootstrap for Robust Linear Regression Inference, Statistica Sinica, to appear.


• Wharton Linear Models Research Group. (2016). Mallows Cp for Out-of-sample Prediction.


• Brown, L. D. and Johnson, K. D. (2016). Commentary on Exact Post-selection Inference for Sequential Regression Procedures. Journal of the American Statistical Association, 111, 614-617.


• Aldor-Noiman, S., Brown, L. D., Fox, E., and Stine, R. A. (2016). Spatio-Temporal Low Count Processes with Application to Violent Crime Events, Statistica Sinica, 26, 1587-1610.


• Brown, L. D., Lynch, L. M., and Citro, C. F. (2016). Reflections on the Occasion of the 100th Anniversary of the Monthly Labor Review. Monthly Labor Review.


• Brown, L. D., Levine, M., and Wang, L. (2016). A semiparametric multivariate partially linear model: a difference approach, Jour. Statist Planning and Inference, 178, 99-111.


• Xie, X. Kou, S. C. and Brown, L. D. (2016). Optimal Shrinkage Estimation of Mean Parameters in Family of Distributions with Quadratic Variance. The Annals of Statistics, 44, 564-597.

2011 -- 2015

• Brown, L. D., (2015). Comments on "Methodological Issues and Challenges in the Production of Official Statistics".. Journal of Survey Statistics and Methodology, 3, 478-481.


• Brown, L. D. and McCarthy, D. (2015). Comments on the paper, "An adaptive resampling test for detecting the presence of significant predictors" by McKeague and Qian. Jour. of the Amer. Statist Assoc., 110, 1446-1449.


• Brown, L. D. and McCarthy, D. (2014). Discussion of "Estimation and Accuracy after Model Selection" by Efron, the Joint Statistical Meetings.


• Brown, L. D., Citro, C. House, C., Marton, K. and Mackie, C. (2014). The past, present and future of federal surveys: Observations from the Committee on National Statistics. Proceedings of the Joint Statistical Meetings, 2014.


• Berk, R., Pitkin, E., Brown, L. D., Buja, A., George, E., and Zhao, L. (2014). Covariance Adjustments for the Analysis of Randomized Field Experiments. Evaluation Review, 37, 170-196.


• Buja, A. and Brown, L. D. (2014). Discussion of Lockhardt et al.. Ann of Statist., 42, 509-517.


• Fuki, I., Brown, L. D., Han, X., Zhao, L. (2014). Hunting for Significance: Bayesian Classifiers under a Mixture Loss Function. Jour. Statist. Planning and Inference, 154, 62-71.


• Berk, R., Brown, L. D., Buja, A., George, E., Pitkin, E., Zhang, K., and Zhao, L. (2014). Misspecified Mean Function Regression: Making Good Use of Regression Models That Are Wrong. Sociological Methods and Research, 43, 422-451.


• Zhang, K., Brown, L. D., George, E., and Zhao, L. (2014). Uniform Correlation Mixture of Bivariate Normal Distributions and Hypercubically-contoured Densities That Are Marginally Normal. The American Statistician, 68, 183-187.


• Brown, L.D., Greenshtein, E., and Ritov, Y. (2013). The Poisson Compound Decision Problem Revisited. Jour. Amer. Statist. Assoc., 108, 741-749.


• Aldor-Noiman, S., Brown, L. D., Buja, A., Rolke, W. and Stine, R. A. (2013). The Power to See: A New Graphical Test of Normality. The American Statistician, 67, 249-260.


• Berk, R., Brown, L. D., Buja, A., Zhang, K., & Zhao, L. (2013). Valid Post-Selection Inference. The Annals of Statistics, Ann of Statist., 41, 802-837.


• Xie, X., Kou, S. C., Brown, L. D. (2012). SURE Estimates for a Heteroscedastic Hierarchical Model. Jour. Amer. Statist. Assoc., 107, 1465-1479.


• Brown, L. D. (2012). Poisson compound and empirical Bayes estimation, revisited; Frontiers in Nonparametric Statistics, ed by Buhlmann, P. Cai, T., Munk, A., Yu, B.


• Berk, R., Brown, L. D., George, E., Pitkin, E., Traskin, M., Zhang, K., Zhao, L. (2012). What you can learn from wrong causal models, Handbook of Causal Analysis for Social Research (Springer 2012). Stephen Morgan (ed.), 403-424.


• Brown, L.D. and Zhao, L. H. (2012). A Geometrical Explanation of Stein Shrinkage, Statistical Science 27, 24-30.


• Brown, L. D. (2012). An Elementary Proof of the Central Limit Theorem, working paper & webpost


• Nagaraja, C., Brown, L. D., & Wachter, S. (2011). Housing Price Index Methodology, Ed. S J Smith et al. International Encyclopedia of Housing and Home, 2011, pp. 1-21.


• Wolpert, R. L. & Brown, L. D. (2011). Stationary Infinitely-Divisible Markov Processes with Non-negative Integer Values, preprint.


• Brown, L. D., Nie, H., & Xie, X. (2011). Ensemble Minimax Estimation for Multivariate Normal Means, Submitted.


• Brown, L. D. & Han, X. (2011). Optimal Estimation of Multidimensional Normal Means with an Unknown Variance, Submitted.


• Wang, L., Brown, L. D. & Cai, T. (2011). A difference based approach to the semiparametric partial linear model. Electron. J. Statist., 5, 619-641.

2006 -- 2010

• Brown, L. D., Fu, X. & Zhao, L. (2010). Confidence Intervals for Nonparametric regression. Jour. Nonparametric Stat., 23, 149-163.


• Brown, L. D., Cai, T., Zhang, R., Zhao, L. & Zhou, H. (2010). The root-unroot algorithm for density estimation as implemented via wavelet block thresholding, Probability Theory and Related Fields 146, 401-433.


• Brown, L. D., Cai, T. & Zhou, H. (2010). Nonparametric regression in exponential families. Ann Statist. 38, 2005-2046.


• Brown, L. D. & Greenshtein, E. (2009), Nonparametric empirical Bayes and compound decision approaches to estimation of a high dimensional vector of normal means, Ann Statist. 37, 1685-1704.


• Brown, L. D. & Zhao, L. H. (2009). Estimators for Gaussian models having a block-wise structure, Statistica Sinica. 19, 885-903.


• Nagaraja, C., Brown, L. D. & Zhao, L. (2009). An Autoregressive Approach to House Price Modeling, Annals of Applied Statistics. 5, 124-149.


• Berk, R., Brown, L. D. & Zhao, L. (2009). Statistical inference after model selection. Journal of Quantitative Criminology, 26, 217-236.


• Brown, L. D. (2008). A unified view of regression, shrinkage, empirical Bayes, hierarchical Bayes, and random effects. in Gather, U., Hall, P. and Kunsch, H-R, Reassessing the Paradigms of Statistical Model Building Mathematisches Forschungsinstitut Oberwohlfach, Report # 50/2007, 2954-2956.


• Brown, L. D., Cai, T. & Zhou, H. (2008). Robust nonparametric estimation via wavelet median regression. Ann. Statist., 36, 2055-2084.


• Brown, L. D., George, E., & Xu, X., (2008). Admissible predictive density estimation, Ann. Statist., 36, 1156-1171.


• Brown, L. D. (2008). In-season prediction of batting averages: A field test of empirical Bayes and hierarchical Bayes methodologies, Annals of Applied Statistics. 2, 113-152.


• Wang, L., Brown, L.D., Cai, T. & Levine, M., (2008). Effect of mean on variance function estimation in nonparametric regression, Ann. Statist., 36, 646-664.


• Brown, L.D. & Zhao, Z., (2008). Alternative formulas for synthetic dual estimation in the 2000 census, Probability and Statistics Essays in Honor of David A. Freedman, Vol 2, 90 - 113.


• Brown, L.D. & Levine, M. (2007). Variance estimation in nonparametric regression via the difference sequence method, The Annals of Statistics, 35, 2219-2232.


• Weinberg, J., Brown, L.D. & Stroud, J.R. (2007). Bayesian forecasting of an inhomogeneous Poisson process, with applications to call center data, Jour. Amer. Statist. Assoc., 102, 1185 -1198.


• Shen, H. & Brown, L.D. (2006). Nonparametric modeling of time varying customer service times at a bank call center, Applied Stochastic Models in Business and Industry, 22, 297-311.


• Shen, H., Brown, L.D. & Zhi, H. (2006). Efficient estimation of log-normal means and its application to pharmacokinetic data, Statistics in Medicine, 25, 3023-3038.


• Brown, L.D., DasGupta, A., Haff, L.R. & Strawderman, W.E. (2006). The heat equation and Stein's identity: connections and applications, Jour Statist. Planning and Inference, 136, 2254-2278.

2001 -- 2005

• Brown, L.D., Cai, T. & DasGupta, A. (2005) Discussion of "Fuzzy and randomized confidence intervals and P-values", by Geyer and Meeden., Statist. Sci., 20, 375-379


• Brown, L.D. & Li, X. (2005). Confidence intervals for the two sample binomial distribution problem, Jour. Statist. Planning and Inference, 130, 359-375


• Brown, L.D., Gans, N., Mandelbaum, A., Sakov, A., Shen, H., Zeltyn, S. & Zhao, L.H. (2005). Statistical analysis of a telephone call center: a queueing science perspective, Jour. Amer. Statist. Assoc., 100, 36-50.


• Brown, L.D., DasGupta, A., Marden, J. & Politis, D. (2004). Characterizations, sub and resampling and goodness of fit, in A Festschrift for Herman Rubin, Institute of Mathematical Statistics (Lecture Notes and Monographs v. 45) 180-206.


• Brown, L.D., Carter, A.V., Low, M.G. & Zhang, C-H (2004). Equivalence theory for density estimation, Poisson processes and Gaussian white noise with drift, Ann. Statist., 32, 2074-2097.


• Lin, Y. & Brown, L.D. (2004). Statistical properties of the method of regularization with the periodic Gaussian reproducing kernel, Ann. Statist., 32, 1723-1743.


• Brown, L.D. (2003). The analogy between statistical equivalence and stochastic strong limit theorems, preprint at http://stat.wharton.upenn.edu/~lbrown/ .


• Brown, L.D. & Zhao, L.H. (2003). Direct asymptotic equivalence of nonparametric regression and the infinite-dimensional location problem, preprint at http://stat.wharton.upenn.edu/~lzhao/ .


• Brown, L.D. & Lin, Y. (2003). Racetrack betting and consensus of subjective probabilities, Statistics and Probability Letters 62, 175-187.


• Brown, L.D., Mandelbaum, A., Sakov, A., Shen, H., Zeltyn, S. & Zhao, L.H. (2003). Multifactor Poisson and Gamma-Poisson models for call center arrival times, technical report.


• Brown, L.D., Wang, Y. & Zhao, L.H. (2003). Statistical equivalence at suitable frequencies of GARCH and stochastic volatility models with the corresponding diffusion model, Statistica Sinica, 13 993-1015.


• Brown, L.D., Cai, T. & DasGupta, A. (2003). Interval estimation in exponential families, Statistica Sinica, 13 19-50.


• Brown, L.D. (2002). The Analogy Between Statistical Equivalence and Stochastic Strong Limit Theorems, Invited address at the International Congress of Mathematicians, Beijing, Aug. 2002.


• Brown, L.D. & Lin, Y. (2002). Discussion of "random rates in anisotropic regression" by Hoffman and Lepski, Ann. Statist. 30 363-369.


• Brown, L.D. & Zhao, L.H. (2002). A new test for the Poisson distribution, Sankhya, Series A, 64 611-625.


• Brown, L.D., Cai, T., Low, M.G. & Zhang, C-H (2002). Asymptotic equivalence theory for nonparametric regression with random design, Ann. Statist., 30 688-707.


• Brown, L.D., Cai, T. & DasGupta, A. (2002). Confidence intervals for binomial proportions and asymptotic expansions, Ann. Statist. 30 160-201.


• Brown, L.D. (2001). Decision Theory, classical in International Encyclopedia of the Social & Behavioral Sciences (P. B. Baltes and N. J. Smelser, eds.).


• Brown, L.D., Cai, T. & DasGupta, A. (2001). Interval estimation for a binomial proportion, Statist. Sci., 16 101-133 (with discussion).

1996 -- 2000

• Brown, L.D. & Wong, W-K (2000). An algorithmic construction of optimal minimax designs for heteroscedastic regression models, Jour. Statist. Plan. and Inference. 85 103-114.


• Munk, A., Hwang, J.T. & Brown, L.D. (2000). Testing average equivalence-finding a compromise between theory and practice, Biometrical Jour. 5 531-552.


• Brown, L.D. (2000). An essay on statistical decision theory, Jour. Amer. Statist. Assoc. 95 1277-1282.


• Brown, L.D., Eaton, M.L., Freedman, D.A., Klein, S.P., Olshen, R.A., Wachter, K.W., Wells, M.T. & Ylvisaker, D. (1999). Statistical controversies in census 2000. Jurimetrics 39 347-376.


• Cai, T. & Brown, L.D. (1999). Wavelet estimation for samples with random uniform design, Statistics and Prob. Letters 42 313-321.


• Cai, T. & Brown, L.D. (1998). Wavelet shrinkage for nonequispaced samples, Ann. Statist. 26, 1783-1799.


• Brown, L.D. & Zhang, C-H (1998). Asymptotic non-equivalence of nonparametric experiments when the smoothness index is ½, Ann. Statist. 26, 279-287.


• Brown, L.D. (1998). Minimax Theory, entry in Encyclopedia of Biostatistics, eds. P. Armitage and T. Colton.


• Brown, L.D., Low, M.G., & Zhao, L.H. (1997). Superefficiency in nonparametric function estimation, Ann. Statist. 25, 2607-2625.


• Brown, L.D., Hwang, J.T.G. & Munk A. (1997). An unbiased test for the bioequivalence problem, Ann. Statist. 25, 2345-2367.


• Tseng, Y.L. & Brown, L.D. (1997). Good exact confidence sets for a multivariate normal mean, Ann. Statist., 25, 2228-2258.


• Brown, L.D. & Low, M.G. (1996). A constrained risk inequality with applications to nonparametric function estimation, Ann. Statist,. 24, 2524-2535.


• Brown, L.D. & Low, M.G. (1996). Asymptotic equivalence of nonparametric regression and white noise, Ann. Statist., 24, 2384-2398.

1991 -- 1995

• Brown, L.D., Casella, G. & Hwang, J.T.G. (1995). Optimal confidence sets, bioequivalence, and the limacon of Pascal, Jour. Amer. Statist. Assoc., 90, 880-889.


• Brown, L.D. & Cohen, A. (1995). Complete classes for confidence set estimation, Statistica Sinica, 5, 291-302.


• Brown, L.D., D'Amato, R. & Gertner, R.(1994). Racetrack betting: do bettors understand the odds? Chance, 7, 17-23.


• Berger, J.O., Brown, L.D. & Wolpert, R.L. (1994). A unified conditional frequentist and Bayesian test for fixed and sequential simple hypothesis testing, Ann. Statist., 22, 1787-1807.


• Brown, L.D. (1993). Minimaxity, more or less, in Statistical Decision Theory and Related Topics V, 1-18, Springer, N.Y..


• Brown, L.D. (1993). An information inequality for the Bayes risk under truncated squared error loss, in Multivariate Analysis: Future Directions (ed. C.R. Rao), 85-94, Elsevier Science, Amsterdam.


• Brown, L.D. & Hwang, J.T.G. (1993). How to approximate a histogram by a normal density, Amer. Statist., 47, 251-256.


• Brown, L.D. & Liu, R.C. (1993). Bounds on the Bayes and minimax risk for signal parameter estimation, IEEE Trans. on Inf. Thry., 39, 1386-1394.


• Brown, L.D. & Liu, R.C. (1993). The asymptotic risk in a signal parameter estimation problem, IEEE Trans. on Inf. Thry., 39, 254-257.


• Liu, R.C. & Brown, L.D. (1993). Non-existence of informative unbiased estimators in singular problems, Ann. Statist., 21, 1-13.


• Brown, L.D. & Marden, J.I. (1992). Local admissibility and local unbiasedness in hypothesis testing problems, Ann. Statist., 20, 832-852.


• Brown, L.D., Chow, M. & Fong, D.K.H. (1992). On the admissibility of the maximum likelihood estimator of the binomial variance, Can. Jour. of Statist., 20, 353-358.


• Brown, L.D. & Greenshtein, E. (1992). Two sided sequential tests, Ann. Statist., 20, 545-554.


• Hwang, J.T.G. & Brown, L.D. (1991). Estimated confidence under the validity constraint, Ann. Statist., 19, 1964-1977.


• Brown, L.D. & Low, M.G. (1991). Information inequality bounds on the minimax risk (with an application to nonparametric regression), Ann. Statist., 19, 329-337.

1986 -- 1990

• Brown, L.D. (1990). Comment on "Developments in decision theoretic variance estimation", Statist. Sci., 5, 103-106.


• Alder, R.J., Brown, L.D. & Lu, K-L (1990). Tables for tests and confidence bands for bivariate cumulative distribution functions, Tech. Report Cornell Statistics Center.


• Brown, L.D. & Farrell, R.H. (1990). A lower bound for the risk in estimating the value of a probability density, Jour. Amer. Statist. Assoc., 85, 1147-1154.


• Brown, L.D. & Gajek, L. (1990). Information inequalities for the Bayes, Ann. Statist., 18, 1578-1594.


• Brown, L.D. (1990). An ancillarity paradox which appears in multiple linear regression (with discussion), Ann. Statist., 18, 471-538.


• Brown, L.D. (1990). Comment on "Developments in Decision-Theoretic Variance Estimation" by J.M. Maatta and G. Casella, Statist. Sci., 5, 103-106.


• R.J. Adler, Brown, L.D. & Lu, K-L (1990). Tests and confidence bands for bivariate cumulative distribution functions, Comm. in Statist. (Simul. and Comput.), 19, 25-36.Tables


• Feldman, I. and Brown, L.D. (1989). The minimax risk for estimating a bounded normal mean, Tech. Report Cornell Statistics Center.


• Brown, L.D., Cohen, A. & Strawderman, W.E. (1989). Correction to "Complete classes for sequential tests of hypotheses", Ann. Statist., 17, 1414-1416.


• Brown, L.D. & Marden, J.I. (1989). Complete class results for hypothesis testing problems with simple null hypotheses, Ann. Statist., 17, 209-235.


• Brown, L.D. & Hwang, J.T.G. (1989). Universal domination and stochastic domination: U-admissibility and U-inadmissibility of the least squares estimator, Ann. Statist., 17, 252-267.


• Brown, L.D. (1988). Admissibility in discrete and continuous invariant nonparametric estimation problems and their multinomial analogs, Ann. Statist., 16, 1567-1593.


• Brown, L.D. (1988). Review of Asymptotic Methods in Statistical Decision Theory by L. Le Cam, Jour. Amer. Statist. Assoc., 83, 564-565.


• Brown, L.D. & Rinott, Y. (1988). Inequalities for multivariate infinitely divisible processes, Ann. Prob, 16, 642-657.


• Brown, L.D. & Farrell, R.H. (1988). Proof of a necessary and sufficient condition for admissibility in discrete multivariate problems, Jour. Multiv. Anal., 24, 46-52.


• Brown, L.D. (1988). The differential inequality of a statistical estimation problem, in Statist. Dec. Thry. and Rel. Topics, IV, Vol. 1 (S. S. Gupta and J. O. Berger, eds.), 299-323.


• Brown, L.D. (1986). Commentary on paper [19] (Invariance, sequential estimation and continuous time processes) in J.C. Kiefer Coll. Papers, Supp. Vol. Springer-Verlag, New York.


• Brown, L.D. & Hwang, J.T.G. (1986). Some limitations on Stein's phenomenon, Comm. in Statist., 15, 2025-2043.


• Adler, R.J. & Brown, L.D. (1986). Tail behaviour for suprema of empirical processes, Ann. Prob., 14, 1-30.

1981 -- 1985

• Brown, L.D. & Farrell, R.H. (1985). Complete class theorems for estimation of multivariate Poisson means and related problems, Ann. Statist., 13, 706-726.


• Brown, L.D. & Farrell, R.H. (1985). All admissible linear estimators of a multivariate Poisson mean vector, Ann. Statist., 13, 282-294.


• Brown, L.D., Ruymgaart, F.H. & Truax, D.R. (1984). Hodges-Lehmann efficiencies for likelihood ratio type tests in curved bivariate normal families, Statist. Nearlandica, 38, 21-35.


• Brown, L.D. (1984). A note on the Tukey-Kramer procedure for pairwise comparisons of correlated means. In Design of Experiments, ed. by T.J. Santner and A.C. Tamhane, Marcel Dekker, Inc. 1-6.


• Brown, L.D. & Sackrowitz, H. (1984). An alternative to Student's t-test for problems with indifference zones, Ann. Statist., 12, 451-469.


• Brown, L.D. (1984). The research of Jack Kiefer outside the area of experimental design, Ann. Statist., 12, 406-415.


• Brown, L.D. (1983). Comments on "the robust Bayesian viewpoint", by James Berger in Robustness of Bayesian Analyses, ed. by J.B. Kadane, Elsevier Science, 126-133.


• Brown, L.D., Cohen, A. & Samuel-Cahn, E. (1983). A sharp necessary condition for admissibility of sequential tests -- necessary and sufficient conditions for admissibility of SPRT's, Ann. Statist., 11, 640-653.


• Ighodaro, A., Santner, T. & Brown, L.D. (1982). Admissibility and complete class results for the multinomial estimation problem with entropy and squared error loss, Jour. Multiv. Anal., 12, 469-479.


• Brown, L.D. (1982). A proof of the central limit theorem motivated by the Cramer-Rao inequality, Essays in Honor of C.R. Rao, ed. by P.R. Krishnaiah, 141-148.


• Brown, L.D. & Hwang, J.T.G. (1982). A unified admissibility proof, Proc. Third Purdue Symp., 205-288.


• Brown, L.D. (1981). A complete class theorem for statistical problems with finite sample spaces, Ann. Statist. 9, 1289-1300.


• Brown, L.D. & Cohen, A. (1981). Inadmissibility of large classes of sequential tests, Ann. Statist., 9, 1239-1247.


• Brown, L.D., Johnstone, I.M. & MacGibbon, K.B. (1981). Variation diminishing transformations: a direct approach to total positivity and its statistical applications, Jour. Amer. Statist. Assoc., 76, 824-833.


• Berk, R.H., Brown, L.D. & Cohen, A. (1981). Bounded stopping times for a class of sequential Bayes tests, Ann. Statist., 9, 834-845.


• Berk, R.H., Brown, L.D. & Cohen, A. (1981). Properties of Bayes sequential tests, Ann. Statist., 9, 678-682.

1976 -- 1980

• Brown, L.D. & Doshi, B.T. (1980). Existence of optimal policies in stochastic dynamic programming, Prob. and Math. Statist. (Poland), 1, 171-184.


• Brown, L.D., Cohen, A. & Strawderman, W.E. (1980). Complete classes for sequential tests of hypotheses, Ann. Statist., 8, 377-398.


• Brown, L.D. (1980). Examples of Berger's phenomenon in the estimation of independent normal means, Ann. Statist., 8, 572-586.


• Brown, L.D. (1980). A necessary condition for admissibility, Ann. Statist., 8, 540-545.


• Brown, L.D. (1979). A proof that Kramer's multiple comparison procedure for differences between treatment means is level -&alpha for 3, 4, or 5 treatments, Technical report, Statistics Center, Cornell University.


• Brown, L.D., Cohen, A. & Strawderman, W.E. (1979). Monotonicity of Bayes sequential tests, Ann Statist., 7, 1222-1230.


• Brown, L.D., Cohen, A. & Strawderman, W.E. (1979). On the admissibility or inadmissibility of fixed sample size tests in a sequential setting, Ann. Statist., 7, 569-579.


• Brown, L.D. (1979). A heuristic method for determining admissibility of estimators -- with application, Ann. Statist., 7, 960-994.


• Brown, L.D. (1979). Counterexample -- an inadmissible estimator which is generalized Bayes for a prior with light tails, Jour. Multiv. Anal., 9, 332-336.


• Berk, R.H. & Brown, L.D. (1978). Sequential Bahadur Efficiency, Ann. Statist., 6, 567-581.


• Brown, L.D. (1978). A contribution to Kiefer's theory of conditional confidence procedures, Ann. Statist., 6, 59-71.


• Brown, L.D. (1977). "Comment" on Conditional confidence statements and confidence estimators, Jour. Amer. Statist. Assoc., 72, 810-813.


• Berger, J., Bock, M.E., Brown, L.D., Casella, G. & Gleser, L. (1977). Minimax estimation of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix, Ann. Statist., 5, 763-771.


• Brown, L.D. (1977). Closure theorems for sequential-design processes, Statistical Decision Theory and Related Topics II, Academic Press, Inc., 57-91.


• Brown, L.D., Cohen, A. & Strawderman, W.E. (1976). A complete class theorem for strict monotone likelihood ratio with applications, Ann. Statist., 4, 712-722.

1975 and Earlier

• Brown, L.D. (1975). Estimation with incompletely specified loss functions (the case of several location parameters), Jour. of Amer. Statist. Assoc., 70, 417-427.


• Brown, L.D. (1975). On a theorem of Morimoto concerning sufficiency for discrete distributions. Ann. Statist., 3, 1180-1182.


• Brown, L.D. & Cohen, A. (1974). Point and confidence estimation of a common mean and recovery of interblock information, Ann. Statist., 2, 963-976.


• Brown, L.D. & Fox, M. (1974). Admissibility of procedures in two dimensional location parameter problems, Ann. Statist., 2, 248-266.


• Brown, L.D. & Fox, M. (1974). Admissibility in Statistical Problems Involving a Location or Scale Parameter, Ann. Statist., 2, 807-814.


• Brown, L.D. & Purves, R. (1973). Measurable selections of extrema, Ann. Statist., 1, 902-912.


• Brown, L.D. (1971). Admissible estimators, recurrent diffusions, and insoluble boundary value problems, Ann. Math. Statist., 42, 855-904. See also correction in Ann. Statist., 1, (1973) 594-596.


• Brown, L.D. (1971). Non-local asymptotic optimality of appropriate likelihood ratio tests, Ann. Math. Statist., 42, 1206-1241.


• Brown, L.D. (1968). Inadmissibility of the usual estimators of scale parameters in problems with unknown location and scale parameters, Ann. Math. Statist., 39, 29-48.


• Brown, L.D. (1967). The conditional level of Student's t test, Ann. Math. Statist., 38, 1068-1071.


• Brown, L.D. (1966). On the admissibility of invariant estimators of one or more location parameters, Ann. Math. Statist., 37, 1087-1136.


• Brown, L.D. (1965). Optimal policies for a sequential decision process, J. Soc. Indust. Appl. Math., 13, 37-46.


• Brown, L.D. (1964). Sufficient statistics in the case of independent random variables, Ann. Math. Statist., 35, 1456-1475.