Larry Goldstein
Education
 Ph.D. Mathematics, University of California, San Diego, 6/1984

Summary Statement of Research Interests
Professor Goldstein’s research is focused on Stein’s method in statistics and distributional approximation, concentration inequalities, sampling schemes, mathematical molecular biology and optimal stopping.

Contracts and Grants Awarded
 Estimating BrAC/BAC from Transdermal Alcohol, (National Institute on Alcohol Abuse and Alcoholism), Susan Luczak, Gary Rosen, $2,590,826, 2018 – 2023
 A French/American Collaborative Colloquium on Probability and Statistics: Concentration Inequalities, (Borchard Foundation), J. Bartroff, L. Goldstein, S. Minsker, $30,000, 20172018
 Approximation of Extremes, (Gruppo Nazionale per il Calcolo Scientifico,Italia), Larry Goldstein, $2,000, 20162017
 Contemporary applications of Malliavin Stein methods, (National Security Agency), Larry Goldstein, $80,000, 20162017
 New Directions in Stein’s Method, (National Security Agency), Larry Goldstein, Jay Bartroff, $120,266, 2011 – 2013
 Senior Research Visitor Grant, Keble Advanced Studies Centre, (Keble College, Oxford), Larry Goldstein, $3,150, Fall 2012
 Visiting Professor Grant, (LUISS University, Rome Italy), Larry Goldstein, $8,600, Fall 2011
USC Funding
 Faculty Development Grant. Coupling Methods for Concentration of Measure Inequalities: The concentration of measure phenomenon, allowing complex systems to be described simply, is extended to dependent models in information theory, molecular biology, networks, and statistics., $3500, 20122013
 Faculty Development Grant. The characterizing equation method for distributional approximation: Though exact calculation of probabilities in large scale random complex systems is typically difficult, or impossible, tractable approximations are provided by the characterizing equation method. , $2500, 2009 – 2010

Conference Presentations
 Zero Bias Enhanced Stein Couplings , Stein’s Method: The Golden AnniversaryTalk/Oral Presentation, Institute for Mathematical Science, Singapore, Invited, National University of Singapore, 20222023
 Dickman approximation in quickselect sorting and probabilistic number theory , Symposium in Memory of Charles Stein [1920 – 2016]Talk/Oral Presentation, Institute of Mathematical Sciences, Singapore, Invited, National University of Singapore, 20192020
 Single index models and nonlinear compressed sensing in the nonGaussian case via Stein type discrepancies , Symposium in Memory of Charles Stein [1920 – 2016]Talk/Oral Presentation, Institute of Mathematical Sciences, Singapore, Invited, National University of Singapore, 20192020
 The Many Faces of a Simple Identity , International Conference on Machine LearningLecture/Seminar, ICML, Invited, Long Beach, 20192020
 Charlas sobre el Método de Stein , XVI Escuela de Probabilidad y EstadisticaTalk/Oral Presentation, Invited, Centro de Investigación en Matemáticas, Guanajuato, Mexico, 20172018
 Steining the Steiner Formula Lecture/Seminar, Department of Statistics, Invited, University of British Columbia, Vancouver Canada, 20172018
 NonGaussian Observations in Nonlinear Compressed Sensing via Stein Discrepancies , Borchard International Colloquium on Concentration Inequalities, High Dimensional StatisticsTalk/Oral Presentation, Borchard Foundation, Invited, Chateau de la Bretesche, Missillac, LoireAtlantique, France, 20162017
 Normal Approximation for Recovery of Structured Unknowns in High Dimension: Steining the Steiner formula , Random processes and Time Series: Theory and Applications. A Conference in honor of Murray RosenblaTalk/Oral Presentation, Invited, University of Californa, San Diego, 20162017
 Recovery of structured unknowns in High Dimension: Steining the Steiner formula Lecture/Seminar, Department of Mathematics, Invited, University of California, Irvine, 20162017
 The Spectral Gap of Random Regular Graphs and Size Biased Couplings , World Congress in Probability and StatisticsTalk/Oral Presentation, Invited, Toronto, Canada, 20162017
 The Spectral Gap of Random Regular Graphs and Size Biased Couplings Lecture/Seminar, University of Cincinnati, Invited, Department of Mathematics, 20162017
 Some progress using Stein’s method for strong embeddings , Workshop on New Directions in Stein’s MethodTalk/Oral Presentation, Institute for Mathematical Sciences, Invited, Singapore, 20152016
 Stein’s Method: Distributional Approximation and Concentration of Measure, I , 36th Midwest Probability ColloquiumTalk/Oral Presentation, Northwestern University, Invited, Evanston, IL, 20142015
 Concentration and Stein Couplings , International Colloquium on Stein’s Method, Concentration Inequalities, and Malliavin CalculusLecture/Seminar, Borchard Foundation, Invited, Chateau de la Bretesche, Missillac, LoireAtlantique, France, 20142015
 Normal approximation for recovery of structured unknowns in high dimension: Steining the Steiner formula , IMA Annual Program Year Workshop, Information Theory and Concentration PhenomenaTalk/Oral Presentation, Institute for Mathematics and its Applications, Invited, University of Minnesota, 20142015
 Rank Distribution of Random Matrices over Finite Fields by Stein’s Method , IWAP 2014Talk/Oral Presentation, International Workshop in Applied Probability, Invited, Antalya, Turkey, 20142015
 Stein’s Method for the Beta distribution with Application to the Polya Urn , IWAP 2014Talk/Oral Presentation, International Workshop in Applied Probability, Invited, Antalya, Turkey, 20142015
 Stein’s Method: A Biased View , Limit theorems in dynamics and applicationsTalk/Oral Presentation, International de Rencontres Mathematiques, , Invited, Marseille, France, 20142015
 Stein’s Method: Distributional Approximation and Concentration of Measure, II , 36th Midwest Probability ColloquiumTalk/Oral Presentation, Northwestern University, Invited, Evanston, IL, 20142015
 Semiparametric efficiency bounds for the Maximum Partial Likelihood Estimator in NestedCase Control Sampling Talk/Oral Presentation, International Society for Non Parametric Statistic, Invited, Chalkidiki, Greece, 20122013
 The Inductive Method, Unbounded Couplings and Stein’s Method , 8th World Congress in Probability and StatisticsTalk/Oral Presentation, Institute of Mathematical Statistics, Bernoulli So, Invited, Istanbul, Turkey, 20122013
 A BerryEsseen Theorem for the Lightbulb Process , Probability Approximations and Beyond: A conference in honour of Louis Chen on his 70th birthdayTalk/Oral Presentation, National University of Singapore, Invited, Singapore, 06/25/2010 – 06/27/2010
 A Gentle Introduction to Stein’s Method for normal approximation , Progress in Stein’s MethodLecture/Seminar, National University of Singapore, Invited, Singapore, Spring 2009
 Bounds on the Constant in the Mean Central Limit Theorem , Progress in Stein’s MethodLecture/Seminar, National University of Singapore, Invited, Singapore, Spring 2009
 L1 bounds in normal approximation , Progress in Stein’s MethodLecture/Seminar, National University of Singapore, Invited, Singapore, Spring 2008
 A Curious Connection Between Optimal Stopping and Branching Processes , Conference in honor of Professor Ester SamuelCahnTalk/Oral Presentation, Hebrew University, Jerusalem Israel, Invited, Jerusalem, Israel, Fall 2006
 MantelHaenszel Type Estimators and Cohort Sampling , Analysis of Complex Event History DataTalk/Oral Presentation, University of Oslo, Norway, Invited, Oslo, Noway, Fall 2005
 Zero Biasing and Combinatorial Central Limit Theorems , Southern Califormia Probability SymposiumTalk/Oral Presentation, Invited, Irvine, CA, Fall 2005
 Counter Matching and Genetic Susceptibility to Radiation Induced Breast Cancer , Joint Meeting China Society of Probability and StatisticsTalk/Oral Presentation, Invited, Beijing, China, Spring 2005
Other Presentations
 Classical and Free Zero Bias for Infinite Divisibility, Seminar, Los Angeles, 20232024
 Classical and Free Zero Bias for Infinite Divisibility, Seminar, Columbia University, 20222023
 Classical and Free Zero Bias for Infinite Divisibility, Seminar, New York, 20222023
 Relaxing Gaussian Assumptions in High Dimensional Statistical Procedures, Statistics Seminar, Turin, Italy, 20222023
 Zero Bias Enhanced Stein Couplings, Math Finance and Probability Seminar, Vienna, 20222023
 Relaxing Gaussian Assumptions in High Dimensional Statistical Procedures, Seminar, University of Minnesota , 20212022
 Ordenación y la aproximación de Dickman para el algoritmo Quickselect, Seminar, https://sites.google.com/sigma.iimas.unam.mx/sph/, 20202021
 Relaxing Gaussian Assumptions in High Dimensional Statistical Procedures, Seminar, http://www.mathematik.tudortmund.de/lsix/lehre/WiSe2021/GRKSeminar/index.php, 20202021
 Dickman Approximation for Quickselect sorting, and by Stein’s Method in Number theory, Seminar, New York, 20192020
 Nonlinear Compressed NonGaussian Sensing via Stein Discrepancies, Seminar, New York, 20192020
 Dickman Approximation for Quickselect sorting, and by Stein’s Method in Number theory, Seminar, Bangkok, Thailand, 20182019
 Dickman Approximation for Quickselect sorting, and by Stein’s Method in Number theory , Seminar, La Jolla, CA, 20182019
 Stein Identies in Statistics and Probability, Workshop Seminar, San Jose, California, 20182019
 Non asymptotic distributional bounds for the Dickman approximation of the running time of the Quickselect algorithm, Seminar, Bochum, Germany, 20172018
 Non asymptotic distributional bounds for the Dickman approximation of the running time of the Quickselect algorithm , Seminar, USC, 20172018
 Stein’s Method for distributional approximation and concentration, a biased view, Departmental Colloquium, Georgia Tech, 20172018
 Steining the Steiner formula, Statistics Seminar, University of Southern California, Los Angels, 20172018
 A lenient BKR operation for events occurring for disjoint reasons, Combinatorics Seminar, Los Angles, CA , 20162017
 Adventures in Mathematical Consulting, Seminar, University of Cincinnati, 20152016
 Normal approximation for recovery of structured unknowns in high dimension: Steining the Steiner formula , Seminar, University of Cincinnati, 20152016
 Applications of Stein Couplings for Concentration of Measure, Seminar, Vienna, Austria, 20142015
 Gaussian Phase Transitions and Conic Intrinsic Volumes: Steining the Steiner formula, Seminar, Columbia University, New York, 20142015
 Normal Approximation for Conic Intrinsic Volumes: Steining the Steiner formula, Seminar, University of Luxembourg, 20142015
 Normal approximation for recovery of structured unknowns in high dimension: Steining the Steiner formula, Seminar, Salerno, Italy, 20142015
 Normal approximation for recovery of structured unknowns in high dimension: Steining the Steiner formula, Seminar, Rome, Italy, 20142015
 Normal approximation for recovery of structured unknowns, Gaussian projections and conic intrinsic volumes: Steining the Steiner formula, Seminar, UCLA, 20142015
 Stein Couplings, Log Concavity and Concentration of Measure, IMA annual program seminar , University of Minnesota, 20142015
 Stein’s method and the rank distribution of random matrices over finite fields, Probability Seminar, University of Minnesota, 20142015
 Normal Approximation for Conic Intrinsic Volumes: Steining the Steiner formula, Probability and Statistics Seminar, USC, 20142015
 Adventures in Mathematical Consulting, Seminar, LUISS Guido Carli Universita, Rome, Italy, 20132014
 Applications of Bounded Size and Zero Bias Couplings for Concentration of Measure, Seminar, Singapore, 20132014
 Stein Couplings for Concentration of Measure, Seminar, Irvine, California, 20132014
 Stein’s Method for the Beta distribution with Application to the Pólya Urn, Seminar, Singapore, 20132014
 Concentration of Measures by Size Bias Couplings, Seminar, Oxford University, 20122013
 Adventures in Mathematical Consulting, Seminar, University of the Pacific, 20112012
 Bounds on the Constant in the Mean Central Limit Theorem, Seminar, Rome, Italy, 20112012
 Concentration of Measures by Bounded Size Bias Couplings, Seminar, LUISS Guido Carli Universita, Rome, Italy, 20112012
 Concentration of Measures by Bounded Size Bias Couplings, Seminar, University of Southern California, 20112012
 Cohort Studies with Complex Sampling, Seminar, Univeristy of California, Los Angeles, 20102011
 Concentration of Measures by Bounded Size Bias Couplings, Seminar, Univeristy of California, Berkeley, 20102011
 Stein’s method for the lightbulb process, Seminar, University of California, Irvine, 20092010
 El Método de Stein y algunas Aplicaciones, Seminar, Guanajuato, Mexico, 20082009
 L1 bounds in normal approximation, Seminar, Rome, Italy, 20082009
 Stein’s method and some applications, Seminar, Bologna, Italy, 20082009
 Efficiency of the Maximum Partial Likelihood Estimator for, Probability and Statistics seminar, USC, 20072008
 Tentative Extensions of a Curious Connection, Statistics Seminar, Rome, Italy, 20062007
 Cohort Studies with Complex Sampling, Biostatistics Seminar, La Jolla, CA, 20052006
 Odds, Insurance, and Size Biasing in a Promotional Sweepstakes, Seminar, Department of Mathematics, University of Southern California, 20052006
 Sampling Case Control Studies over time, Statistics Seminar, Oxford, UK, 20052006
 Hierarchical Models and the Diamond Lattice, Seminar, East China Normal University, Shanghai, 20042005
 Zero Biasing and the Diamond Lattice, Statistics Seminar, Jerusalem, Israel, 20042005
 Zero Biasing and the Diamond Lattice, Statistics Seminar, Berkeley, CA, 20042005

 American Institute of Mathematics, Conference on Stein’s Method and Applications in Highdimensional Statistics. J. Bartroff, L. Goldstein and S. Minsker Coorganizers

Book
 Chen, L., Goldstein, L., QiMan, S. (2010). Normal approximation by Stein’s method. Springer. Amazon
Book Chapters
 Goldstein, L., Xia, A. (2012). Clubbed Binomial Approximation for the Lightbulb Process. Probability Approximations and Beyond, pp. 3141. Springer. Springer Link
 Goldstein, L., SamuelCahn, E. (2006). Maximizing expected value with two stage stopping rule. pp. p.125. USA, UK, Singapore: Random Walks, Sequential Analysis and Related Topics/World Scientific.
 Goldstein, L., Reinert, G. (2005). Zero Biasing in One and Higher Dimensions, and Applications. (Vol. 5) pp. 118. USA, UK, Singapore: Institute for Mathematical Sciences Lecture Notes/ World Scientific.
Journal Article
 Goldstein, L. (2022). Zero Bias Enhanced Stein Couplings. Electronic Journal of Probability. Vol. 27 (paper no. 62), pp. 113. arXiv
 Goldstein, L., Langholz, B. (2022). Analysis and asymptotic theory for nested case–control designs under highly stratified proportional hazards models. Lifetime Data Analysis. DOI
 Fathi, M., Goldstein, L., Reinert, G., Saumard, A. (2022). Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension. Annals of Statistics. Vol. 50 (4), pp. 2732–2766. Euclid
 Goldstein, L. (2021). The Game of Poker Chips, Dominoes and Survival. Recreational Mathematics Magazine. Vol. 8 (14), pp. 91104. Arxiv
 Chen, L., Goldstein, L., Roellin, A. (2020). Stein’s Method via Induction. Electronic Journal of Probability. Vol. 25 (paper 132), pp. 149. Arxiv
 Goldstein, L., Bhattacharjee, C. (2019). Dickman approximation in simulation, summations and perpetuities. Bernoulli. Vol. 25, No 4A, pp. 2758–2792. arXiv
 Arratia, R., Goldstein, L., Kochman, F. (2019). Size bias for one and all. Probability Surveys. Vol. 16, pp. 161. arXiv
 Goldstein, L. (2018). Non asymptotic distributional bounds for the Dickman approximation of the running time of the Quickselect algorithm. Electronic Journal of Probability. Vol. 23, pp. 1–13. arXiv
 Goldstein, L., Wei, X. (2018). NonGaussian Observations in Nonlinear Compressed Sensing via Stein Discrepancies. Information and Inference: A Journal of the IMA. Vol. iay006 https://doi.org/10.1093/imaiai/iay006
 Goldstein, L., Minsker, S., Wei, X. (2018). Structured signal recovery from nonlinear and heavytailed measurements. IEEE Transactions on Information Theory. Vol. 64 (8), pp. 55135530. arXiv
 Bartroff, J., Goldstein, L., Islak, Ü. (2018). Bounded size biased couplings, log concave distributions and concentration of measure for occupancy models. Bernoulli. Vol. 24 (No. 4B), pp. 32833317. arXiv
 Goldstein, L., Johnson, T., LachiezRey, R. (2018). Bounds to the normal for proximity region graphs. Stochastic Processes and their Applications. Vol. 4, pp. 1208–1237.. arXiv
 Goldstein, L., Wiroonsri, N. (2018). Stein’s method for positively associated random variables with applications to Ising, percolation and voter models. Annales de l’Institut Henri Poincaré. Vol. 54, pp. 385–421. arXiv
 Cook, N., Goldstein, L., Johnson, T. (2018). Size biased couplings and the spectral gap for random regular graphs. Annals of Probability. Vol. 46, pp. 72125. arXiv
 Goldstein, L., Rinott, Y. (2018). A BKR operation for events occurring for disjoint reasons with high probability. Methodology and Computing in Applied Probability. arXiv
 Goldstein, L., Nourdin, I., Peccati, G. (2017). Gaussian Phase Transition and Conic Intrinsic Volumes: Steining the Steiner Formula. Annals of Applied Probability. Vol. 27, pp. 147. arXiv
 Chen, C., Gribble, M., Bartroff, J., Bay, S., Goldstein, L. (2017). The sequential probability ratio test: An efficient alternative to exact binomial testing for clean water act 303(d) evaluation. Journal of Environmental Management. Vol. 192, pp. 89–93.
 Bhattacharjee, C., Goldstein, L. (2016). On Strong Embeddings by Stein’s Method. Electronic Journal of Probability. Vol. 21, pp. 30. arXiv
 Fulman, J., Goldstein, L. (2015). Stein’s method and the rank distribution of random matrices over finite fields. Annals of Probability. Vol. 43, pp. 1274–1314. arXiv
 Goldstein, L., Islak, U. (2014). Concentration inequalities via zero bias couplings. Statistics and Probability Letters. Vol. 86, pp. 1723. arXiv
 Goldstein, L., Reinert, G. (2013). Stein’s method for the Beta distribution and the PolyàEggenberger Urn. Journal of Applied Probability. Vol. 50, pp. 11871205. arXiv
 Goldstein, L. (2013). A BerryEsseen bound with applications to counts in the ErdösRènyi random graph. Annals of Applied Probability. Vol. 23, pp. 617636. arXiv
 Bartroff, J., Goldstein, L. (2013). A BerryEsseen bound for the uniform multinomial occupancy model. Electronic Journal of Probability. Vol. 18, article 27, pp. 129. arXiv
 Goldstein, L., Rinott, Y., Scarsini, M. (2012). Stochastic comparisons of symmetric sampling designs. Methodology and Computing in Applied Probability. Vol. 14, pp. 407420. Springer Link
 Goldstein, L., Zhang, H. (2011). A Berry Esseen Theorem for the Lightbulb Process. Advances in Applied Probability. Vol. 43.3, pp. 875898. arXiv
 Ghosh, S., Goldstein, L., Raic, M. (2011). Concentration of measure for the number of isolated vertices in the ErdösRènyi random graph by size bias couplings. Statistics and Probability Letters. Vol. 81, pp. 15651570. arXiv
 Fulman, J., Goldstein, L. (2011). Zero biasing and Jack measures. Combinatorics, Probability and Computing. Vol. 20, pp. 753762. Combinatorics, Probability and Computing
 Goldstein, L., Rinott, Y., Scarsini, M. (2011). Stochastic comparisons of stratified sampling techniques for some Monte Carlo estimators. Bernoulli. Vol. 17 (2), pp. 592608. Project Euclid
 Ghosh, S., Goldstein, L. (2011). Concentration of measures via size biased couplings. Probability Theory and Related Fields. Vol. 149, pp. 271278. Springer Link
 Ghosh, S., Goldstein, L. (2011). Applications of size biased couplings for concentration of measures. Electronic Communications in Probability. Vol. 16, pp. 7083. Electronic Communications in Probability
 Bartroff, J., Goldstein, L., Rinott, Y., Cahn, E. S. (2010). On Optimal Allocation of a Continuous Resource Using an Iterative Approach and Total Positivity. Advances in Applied Probability. Vol. 42, pp. 795815. Publications
 Bartroff, J., Goldstein, L., Samuel Cahn, E. (2010). Small time asymptotics of the bomber problem. Sequential Analysis. Vol. 29, pp. 275291. Publications
 Goldstein, L. (2010). Bounds on the Constant in the Mean Central Limit Theorem. Annals of Probability. Vol. 38 (4), pp. 16721689. arXiv
 Goldstein, L., Penrose, M. (2010). Normal approximation for coverage models over binomial point processes. Annals of Applied Probability. Vol. 20, pp. 696721. arXiv
 Goldstein, L., Shao, Q. (2009). BerryEsseen Bounds for Projections of Coordinate Symmetric Random Vectors. Electronic Communications in Probability. Vol. 14, pp. 474485.
 Goldstein, L., Zhang, H. (2009). Efficiency of the Maximum Partial Likelihood Estimator for NestedCase Control Sampling. Bernoulli. Vol. 15, pp. 569597. Project Euclid
 Goldstein, L. (2009). A Probabilistic Proof of the LindebergFeller Central Limit Theorem. American Mathematical Monthly/American Mathematical Society. Vol. 116, pp. 4560.
 Goldstein, L., Rinott, Y. (2007). Functional BRK Inequalities, and their Duals, with Applications. Journal of Theoretical Probability. Vol. 20, pp. 275–293.
 Goldstein, L. (2007). L^1 Bounds in Normal Approximation. Annals of Probability. Vol. 35, pp. 18881930. arXiv
 Goldstein, L., Langholz, B. (2007). Cohort Sampling Schemes for the MantelHaenszel Estimator. Scandinavian Journal of Statistics/Blackwell Publishers. Vol. 34, pp. 137–154..
 Goldstein, L., SamuelCahn, E. (2006). Optimal Two Choice Stopping on an Exponental Sequence. Sequential Analysis/Marcel Dekker. (25), pp. 351–363.
 Goldstein, L., Xia, A. (2006). Zero Biasing and a Discrete Central Limit Theorem. Annals of Probability. Vol. 34, pp. 17821806. arXiv
 Goldstein, L., Reinert, G. (2006). Total Variation Distance for Poisson Subset Numbers. Annals of Combinatorics. Vol. 10, pp. 333341. Springer Link
 Assaf, D., Goldstein, L., Samuel Cahn, E. (2006). Maximizing expected value with two stage stopping rules.
 Abramson, I., Goldstein, L. (2006). A Statistical Characterization of Regular Simplices. American Mathematical Monthly/American Mathematical Society. Vol. 113, pp. 750752. arXiv
 Goldstein, L. (2005). Berry Esseen Bounds for Combinatorial Central Limit Theorems and Pattern Occurrences, using Zero and Size Biasing. Journal of Applied Probability. Vol. 42, pp. 661683. arXiv
 Arratia, R., Goldstein, L., Langholz, B. (2005). Local Central Limit Theorems, the High Order Correlations of Rejective Sampling, and Applications to Conditional Logistic Likelihood Asymptotics. Annals of Statistics. Vol. 33, pp. 871914. arXiv
 Goldstein, L., Reinert, G. (2005). Distributional Transformations, Orthogonal Polynomials, and Stein Characterizations. Journal of Theoretical Probability. Vol. 18, pp. 185208..
 Goldstein, L., Assaf, D., SamuelCahn, E. (2004). Two Choice Optimal Stopping. Advances in Applied Probability. Vol. 36, pp. 11161147.
 Goldstein, L. (2004). Normal Approximation for Hierarchical Sequences. Annals of Applied Probability. Vol. 14, pp. 19501969. arXiv
 Goldstein, L., Rinott, Y. (2003). A Permutation Test for Matching. Metron – International Journal of Statistics. Vol. vol 61 (no. 3), pp. pp. 375388.
 Goldstein, L., Zhang, H. (2003). Information and Asymptotic Efficiency of the CaseCohort Sampling Design in Cox’s Regression Model. Journal of Multivariate Analysis/Academic Press. Vol. 85, pp. 292317.
 Goldstein, L., Assaf, D., SamuelCahn, E. (2002). Ratio Prophet Inequalities when the Mortal has Several Choices. Annals of Applied Probability. Vol. 12, pp. 972984.
 Goldstein, L., Langholz, B. (2001). Conditional logistic analysis of casecontrol studies with complex sampling. Biostatistics/Oxford University Press. Vol. 2, pp. 6384.
 Ghosh, S., Goldstein, L. (2000). Concentration of measures via size biased couplings. Probability Theory and Related Fields.
 Assaf, D., Goldstein, L., SamuelCahn, E. (2000). An Unexpected Connection between Branching Processes and Optimal Stopping. J. Appl. Probab.. Vol. 37 (3), pp. 613626. arXiv
 Borgan, O., Langholz, B., Samuelsen, S. O., Goldstein, L., Pagoda, J. (2000). Exposure stratified casecohort studies. Lifetime Data Analysis. Vol. 6, pp. 3958.
 Langholz, B., Thomas, D., Faucett, C., Huberman, M., Goldstein, L. (1999). Ascertainment correction in rate ratio estimation from casesibling control studies of variable ageatonset diseases. Biometrics. Vol. 55, pp. 11291136.
 Goldstein, L., Reinert, G. (1997). Stein’s Method and the Zero Bias Transformation with Application to Simple Random Sampling. Ann. Appl. Probab.. Vol. 7 (4), pp. 935–952. arXiv
 Steel, M., Goldstein, L., Waterman, M. (1996). A central limit theorem for the parsimony length of trees. Advances in Applied Probability. Vol. 28, pp. 10511071.
 Goldstein, L., Gordon, L. (1996). Asymptotics for the maximum of halfnormal plots. Annals of Statistics. Vol. 24, pp. 22502265.
 Goldstein, L., Rinott, Y. (1996). Multivariate normal approximations by Stein’s method and size bias couplings. Journal of Applied Probability, vol 33, (1996), pp. 117.. Vol. 33, pp. 117. arXiv link
 Goldstein, L., Langholz, B. (1996). Risk Set Sampling in Epidemiologic Cohort Studies. Institute of Mathematical Statistics. Vol. 11, pp. 3553.
 Assaf, D., Goldstein, L., SamuelCahn, E. (1996). A Statistical Version of Prophet Inequalities. Ann. Statist. Vol. 26 (3), pp. 11901197.
 Goldstein, L., Khasminskii, R. (1995). On efficient estimation of smooth functionals. Theory of Probability and Applications. Vol. 40 (1), pp. 199205.
 Borgan, O., Goldstein, L., Langholz, B. (1995). Methods for the Analysis of Sampled Cohort Data in the Cox Proportional Hazards Model. Annals of Statistics. Vol. vol. 23 (no. 5), pp. pp. 17491778.
 Goldstein, L., Waterman, M. (1994). Approximations to profile score distributions. Journal of Computational Biology. Vol. 1 (1), pp. 93104.
 Goldstein, L., Waterman, M. (1992). Poisson, Compound Poisson and Process approximations for testing statistical significance in sequence comparisons. Bulletin of Mathematical Biology. Vol. 54 (5), pp. 785812.
 Abramson, I., Goldstein, L. (1991). Efficient nonparametric testing by functional estimation. Journal of Theoretical Probability. Vol. 4 (1), pp. 137159.
 Arratia, R., Goldstein, L., Gordon, L. (1989). Two Moments Suffice for Poisson Approximations: The ChenStein Method. The Annals of Probability. Vol. 17 (1), pp. 925.
 Goldstein, L. (1988). On the choice of step size in the Robbins Monro procedure. Statistics and Probability Letters. Vol. 6, pp. 299303.
 Goldstein, L. (1988). Mean square rates of convergence in the continuous time simulated annealing algorithm in Rd. Advances in Applied Mathematics. Vol. 9, pp. 3539.
 Goldstein, L. (1988). Minimizing noisy functionals in Hilbert space: An extension of the Kiefer Wolfowitz procedure. Journal of Theoretical Probability. Vol. 1 (2), pp. 189204.
 Goldstein, L., Waterman, M. (1987). Mapping DNA by stochastic relaxation. Advances in Applied Mathematics. Vol. 8, pp. 194207.

 Introduction to Stein’s Method, Scoula Normale Superiore di Pisa, Cortona Italy, 07/01/2013 – 07/18/2013
 Statistical Inference and Data Analysis I, Mathematics, 20092010
 Statistical Inference and Data Analysis II, Mathematics, 20092010

 Fellow, the Institute of Mathematics Statistics (IMS), 2003

Conferences Organized
 Co Organizer, Southern California Probability Symposium, Virtual, 20202021
 Organizer, New Directions in Stein’s Method, National University of Singapore, 20152016
 Organizer, Stein’s Method, Concentration Inequalities, and Malliavin Calculus, Ch^ateau de la Bretesche in Missillac, LoireAtlantique, France, 20142015
 Session Organizer, International Workshop in Applied Probability, Jerusalem, Israel, 20122013
 Session Organizer, Third International Workshop in Sequential Methodologies , Stanford University, 20112012
Editorships and Editorial Boards
 Associate Editor, Bernoulli, 2010 – 2013
Professional Memberships
 Institue of Mathematical Statistics, 1984 – 2021