Lawrence D. Brown

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Nonparametric Regression and Confidence Bands with Lognormal Errors and Application to Bank Call Center Data

Haipeng Shen, Lawrence D. Brown, L. Brown, 2005 .

Bayesian Forecasting of an Inhomogeneous Poisson Process With Applications to Call Center Data

Jonathan Weinberg, Jonathan R. Stroud, Lawrence D. Brown, 2007 .

CLOSURE THEOREMS FOR SEQUENTIAL-DESIGN PROCESSES

Lawrence D. Brown, L. Brown, 1976 .

Non-parametric modelling of time-varying customer service times at a bank call centre: Research Articles

Haipeng Shen, Lawrence D. Brown, 2006 .

Spatio-Temporal Low Count Processes with Application to Violent Crime Events

Emily B. Fox, Robert A. Stine, Lawrence D. Brown, 2013, 1304.5642.

Statistical Inference After Model Selection

Richard A. Berk, Lawrence D. Brown, Linda Zhao, 2010 .

Fundamentals of Statistical Exponential Families

Lawrence D. Brown, 1987 .

Stationary Gaussian Markov processes as limits of stationary autoregressive time series

Larry A. Shepp, Philip A. Ernst, Robert L. Wolpert, 2017, J. Multivar. Anal..

Small Negative Surprises: Frequency and Consequence

Lawrence D. Brown, 2001 .

Confidence intervals for two sample binomial distribution

Xuefeng Li, Lawrence D. Brown, L. Brown, 2005 .

The asymptotic risk in a signal parameter estimation problem

Lawrence D. Brown, Richard C. Liu, 1993, IEEE Trans. Inf. Theory.

Bounds on the Bayes and minimax risk for signal parameter estimation

Lawrence D. Brown, Richard C. Liu, L. Brown, 1993, IEEE Trans. Inf. Theory.

UNIFORM-IN-SUBMODEL BOUNDS FOR LINEAR REGRESSION IN A MODEL-FREE FRAMEWORK

Andreas Buja, Arun Kumar Kuchibhotla, Edward I. George, 2018, Econometric Theory.

The Conspiracy of Random Predictors and Model Violations against Classical Inference in Regression

Andreas Buja, Richard A. Berk, Kai Zhang, 2014 .

AN ANALYSIS OF THE RESEARCH CONTRIBUTIONS OF ACCOUNTING, ORGANIZATIONS AND SOCIETY, 1976-1984.

Miklos A. Vasarhelyi, Lawrence D. Brown, L. Brown, 1987 .

Wavelet estimation for samples with random uniform design

T. Tony Cai, Lawrence D. Brown, 1999 .

The Heat Equation and Stein's Identity: Connections, Applications

William E. Strawderman, Lawrence D. Brown, L. R. Haff, 2006 .

WAVELET SHRINKAGE FOR NONEQUISPACED SAMPLES

T. Tony Cai, Lawrence D. Brown, L. Brown, 1998 .

Nonparametric regression in exponential families

T. Tony Cai, Lawrence D. Brown, Harrison H. Zhou, 2010, 1010.3836.

SURE Estimates for a Heteroscedastic Hierarchical Model

Lawrence D. Brown, Xianchao Xie, S. C. Kou, 2012, Journal of the American Statistical Association.

Inequalities for Multivariate Infinitely Divisible Processes

Yosef Rinott, Lawrence D. Brown, 1988 .

Admissible predictive density estimation

Edward I. George, Xinyi Xu, Lawrence D. Brown, 2008 .

A Test of the Reliability of Current Cost Disclosures

Lawrence D. Brown, Ronald J. Huefner, L. Brown, 1994 .

An Essay on Statistical Decision Theory

Lawrence D. Brown, L. Brown, 2000 .

A Contribution to Kiefer's Theory of Conditional Confidence Procedures

Lawrence D. Brown, 1978 .

Superefficiency in Nonparametric Function Estimation

Lawrence D. Brown, Linda Zhao, L. Brown, 1997 .

Equivalence theory for density estimation, Poisson processes and Gaussian white noise with drift

Lawrence D. Brown, Andrew V. Carter, Cun-Hui Zhang, 2004 .

Uniform Correlation Mixture of Bivariate Normal Distributions and Hypercubically Contoured Densities That Are Marginally Normal

Lawrence D. Brown, Linda Zhao, Kai Zhang, 2014, 1511.06190.

Inside the 'Black Box' of Sell-Side Financial Analysts

Lawrence D. Brown, Nathan Y. Sharp, Andrew C. Call, 2014 .

INTERVAL ESTIMATION IN EXPONENTIAL FAMILIES

Lawrence D. Brown, Anirban DasGupta, L. Brown, 2003 .

Semi-Supervised Linear Regression

Andreas Buja, Lawrence D. Brown, Linda Zhao, 2016, Journal of the American Statistical Association.

How to Approximate a Histogram by a Normal Density

Lawrence D. Brown, J. T. Gene Hwang, 1993 .

An Information Inequality for the Bayes Risk Under Truncated Squared Error Loss

Lawrence D. Brown, 1993 .

NONPARAMETRIC EMPIRICAL BAYES AND COMPOUND DECISION APPROACHES TO ESTIMATION OF A HIGH-DIMENSIONAL VECTOR OF NORMAL MEANS

Lawrence D. Brown, Eitan Greenshtein, L. Brown, 2009, 0908.1712.

Analysts can forecast accurately!

Lawrence D. Brown, L. Brown, Michael S. Rozeff, 1980 .

The Importance of Circulating and Presenting Manuscripts: Evidence from the Accounting Literature

Lawrence D. Brown, 2005 .

A Geometrical Explanation of Stein Shrinkage

Lawrence D. Brown, Linda H. Zhao, 2012 .

Univariate Time-Series Models of Quarterly Accounting Earnings per Share: A Proposed Model

Lawrence D. Brown, L. Brown, Michael S. Rozeff, 1979 .

Multifactor Poisson and Gamma-Poisson Models for Call Center Arrival Times

Haipeng Shen, Lawrence D. Brown, Linda Zhao, 2004 .

Variance estimation in nonparametric regression via the difference sequence method

Lawrence D. Brown, M. Levine, L. Brown, 2007, 0712.0898.

Group-Linear Empirical Bayes Estimates for a Heteroscedastic Normal Mean

Zhuang Ma, Asaf Weinstein, Lawrence D. Brown, 2015, 1503.08503.

Optimal Policies for a Sequential Decision Process

Lawrence D. Brown, L. Brown, 1965 .

Commentary on Paper [19]

Lawrence D. Brown, L. Brown, 1986 .

Confidence Intervals for a binomial proportion and asymptotic expansions

T. Tony Cai, Lawrence D. Brown, Anirban DasGupta, 2002 .

Estimation with Incompletely Specified Loss Functions (the Case of Several Location Parameters)

Lawrence D. Brown, L. Brown, 1975 .

Models as Approximations: How Random Predictors and Model Violations Invalidate Classical Inference in Regression

Andreas Buja, Richard A. Berk, Edward I. George, 2014 .

Information Inequalities for the Bayes Risk

Lawrence D. Brown, Lesław Gajek, L. Brown, 1990 .

INADMISSIBILITY OF THE USUAL ESTIMATORS OF SCALE PARAMETERS IN PROBLEMS WITH UNKNOWN LOCATION AND SCALE PARAMETERS

Lawrence D. Brown, L. Brown, 1968 .

Admissibility in Discrete and Continuous Invariant Nonparametric Estimation Problems and in their Multinomial Analogs

Lawrence D. Brown, L. Brown, 1988 .

Forecast Selection When All Forecasts are Not Equally Recent

Lawrence D. Brown, L. Brown, 1991 .

Effect of mean on variance function estimation in nonparametric regression

T. Tony Cai, Michael Levine, Lawrence D. Brown, 2006 .

Semi-supervised inference: General theory and estimation of means

Anru Zhang, Anru R. Zhang, T. Tony Cai, 2016, The Annals of Statistics.

Models as Approximations - A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression

Andreas Buja, Richard A. Berk, Edward I. George, 2015 .

Jack Carl Kiefer Collected Papers III: Design of Experiments.

Ingram Olkin, Henry P. Wynn, Jerome Sacks, 1987 .

Minimaxity, More or Less

Lawrence D. Brown, L. Brown, 1994 .

Markov Infinitely-Divisible Stationary Time-Reversible Integer-Valued Processes

Robert L. Wolpert, Lawrence D. Brown, L. Brown, 2021, 2105.14591.

On the admissibility of the maximum-likelihood estimator of the binomial variance

Lawrence D. Brown, Duncan K.H. Fong, Mosuk Chow, 1992 .

Complete Classes for Sequential Tests of Hypotheses

William E. Strawderman, Lawrence D. Brown, Arthur Cohen, 1980 .

An algorithmic construction of optimal minimax designs for heteroscedastic linear models

Weng Kee Wong, Lawrence D. Brown, 2000 .

A difference based approach to the semiparametric partial linear model

T. Tony Cai, Lawrence D. Brown, L. Brown, 2011 .

A test for the poisson distribution

Lawrence D. Brown, Linda Zhao, L. Brown, 2002 .

The Poisson Compound Decision Problem Revisited

Lawrence D. Brown, Eitan Greenshtein, Ya’acov Ritov, 2010, 1006.4582.