Abstract. Departments of Statistics and Economics, Stanford University, Stanford, CA, . CELEBRATING DIVERSITY at STANFORD. Page 1 of 14 Joseph Romano Professor of Statistics and of Economics Curriculum Vitae available Online Bio BIO PERSONAL BACKGROUND: I grew up in an Italian New Jersey family, and attended Princeton where I was influenced by John Tukey and terrific mentor Nick Jewell. The Stationary Bootstrap. Whitepages people search is the most trusted directory. Exclusive offer for individuals only. 2014), Pro Bono Distinction; member editor, Stanford Law Review; articles editor, Stanford Law and Policy Review. I am thankful that Ed Romano asked me to join 14 years ago. Departments of Statistics and Economics, Stanford University, Stanford, CA, [email protected] See all articles by this author. Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms. I joined the faculty at Stanford in 1986 when I was 25 and have been at Stanford ever since. Title: Foro Romano, pianta del polo orientale Author: Cipriani, Giovanni Battista and Camporese, Giuseppe Stanford Law School (J.D. In Hommel and Hoffmann (1987) and Lehmann and Romano (2005a), single step and stepdown procedures are derived that control the k-FWER, without making any assumptions concerning the dependence structure of the p-values of the individual tests. Program Committee, Stanford University (2001 - 2002), Chair of Qualifying Exam Committee, Stanford University (2000 - 2001), Member, Judicial Panel, Stanford University (2000 - 2001), Ph.D. advisor to first and second year Ph.D. students, Stanford University (1999 - 2000), Chair of Qualifying Exam Committee, Stanford University (1998 - 1999), Ph.D. advisor to first and second year Ph.D. students, Stanford University (1998 - 1999), Chair of Student Selection Committee, Stanford University (1997 - 1998), Ph.D. advisor to first and second year Ph.D. students, Stanford University (1997 - 1998), Chair of Contributed Papers, Annual Meeting of the Institute of Mathematical Statistics (1997 - 1997), Associate Editor, The Journal of Statistical Planning and Inference (1996 - 1999), Ph.D. advisor to to first and second year Ph.D. students, Stanford University (1996 - 1997), Advisor to Ph.D students without thesis advisors, Stanford University (1995 - 1996), Member, Search Committee, Stanford University (1995 - 1996), First Year Ph.D. Student Advisor, Stanford University (1994 - 1995), Qualifying Exam Advisor, Stanford University (1994 - 1995), Member, Ph.D. Also known as Andrea B Dudman, Anyhony Romano, Anthony T Romano, Dudman Andrea. Multiple testing methods can be used to understand the hidden structure in the data rather than random artifacts (due to "data snooping"). Ducharme, G. R., Jhun, M., Romano, J. P., TRUONG, K. N. Evaluating inclusion functionals for random convex hulls, COVERAGE PROBLEMS AND RANDOM CONVEX HULLS, Statistical Methods in Engineering and the Physical Sciences, DOI 10.1146/annurev.economics.102308.124342. Found inside – Page xvi... Noyola Martinez Rice University jcnmQrice.edu Ingram Olkin Stanford University iolkinstat.stanford.edu Rolf ... Joseph Romano Stanford University romano ... 428, pp. Issue published date: December-01-2020 10.1177/1536867X20976314 . According to our current on-line database, Joseph Romano has 9 students and 20 descendants. September 2018 . A general resampling scheme for triangular arrays of α-mixing random variables with application to the problem of spectral density estimation. Even when the underlying series is © Stanford University, Stanford, California 94305. The National Organization of Gay and Lesbian Scientists and Technical Professionals (NOGLSTP) has selected Joseph Romano, Professor of Statistics and Economics at Stanford University, as its LGBTQ+ Scientist of the Year.An IMS Fellow, Joseph (Joe) Romano is a pre-eminent scholar in statistics and econometrics. Laurel Braitman, PhD, presents at TED Vancouver 2019 in British Columbia. The investigator will continue the development of inferential methods that do not rely on unrealistic or unverifiable model assumptions. I am proud to be part of the 500 Queer Scientists visibility campaign. The team methodically examined not only the temperature data but also the statistical tools scientists were using to analyze the data. Joseph Romano. (1994). . Run a full report to see where Joseph Romano may live along with available previous addresses, mobile numbers, email addresses and more. Exam Committee, Stanford University (1993 - 1994), Ph.D. Student Advisor, Stanford University (1992 - 1993), Masters Student Advisor, Stanford University (1991 - 1992), Member, Ph.D. The statistician is then faced with the challenge of accounting for all possible errors resulting from a complex data analysis, so that any resulting inferences or interesting conclusions can reliable be viewed as real structure (and is reproducible or has predictive power). St. Joseph's has been my . Thus, my goals are the development of universal statistical tools that can be applied to such diverse fields as econometrics, climate science, genetics, clinical trials, finance, education, etc. Joseph Romano named 2021 LGBTQ+ Scientist of the Year Recognizing numerous outstanding contributions to his field with impacts ranging from econometrics to climate science, the LGBTQ+ Scientist of. On average Joseph Romano may have moved 4 time, has or had 2 different phone number and 4 different email address. Exam Committee, Stanford University (1990 - 1991), Masters Student Advisor, Stanford University (1989 - 1990), Member, Ph.D. The virtual AATS 101st Annual Meeting, held April 30 - May 2, 2021, featured the Aortic Symposium and Mitral Conclave, where experts spoke about how they optimize and even revolutionize exceptional treatment. Joseph P. Romano Departments of Statistics and Economics Stanford University romano@stanford.edu Azeem M. Shaikh Department of Economics University of Chicago amshaikh@uchicago.edu Michael Wolf Institute for Empirical Research in Economics University of Zurich mwolf@iew.uzh.ch September 2009 Abstract Consider the problem of testing shypotheses . The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful. Office Hours: Tuesday 1:30-2:30 in 142 Sequoia Hall; Wednesday 1:30-2:30 in Room 227 of the Landau Econ building, or by appointment. See the complete profile on LinkedIn and discover Robert's . Much environmental enforcement in the United States has historically relied on either self-reported data or physical, resource-intensive, infrequent inspections. ON STEPWISE CONTROL OF DIRECTIONAL ERRORS . Wenge Guo . Joseph M Stanford, age 55. In my work, I have tried to explore the extent of applicability of bootstrap, subsampling, and other resampling methods, as well as understanding their limitations. At least one statement, while correct, may be read incorrectly by beginners. I got my Ph.D. from Berkeley in 1986, where I was fortunate enough to meet many of the great statisticians of the 20th century, including Erich Lehmann, Lucien LeCam, David Freedman, Rudy Beran, and others. Stanford, California 94305-4065 . MGTECON 603: Econometric Methods I (Autumn) ECON 270: Intermediate Econometrics I (Autumn) STATS 200: Introduction to Statistical Inference (Autumn) This suggests replacing control of the FWER by controlling the probability of k or more false rejections, which is called the k-FWER. Includes Address (9) Phone (19) Email (18) See Results. View Robert Romano's profile on LinkedIn, the world's largest professional community. Broadly stated, the task is to replace the global rationality of economic . He is a recipient of a Presidential Young Investigator Award and a Fellow of the Institute of Mathematical Statistics. I grew up in an Italian New Jersey family and was fortunate to attend Princeton where I was influenced by John Tukey and terrific mentor Nick Jewell. He has coauthored two other books, Subsampling with Dimitris Politis and Michael Wolf, and Counterexamples in Probability and Statistics with Andrew Siegel. Multiple testing methods can be used to understand the hidden structure in the data rather than random artifacts (due to "data snooping"). (with Thomas J. DiCiccio, Joseph P. Romano, and Azeem M. Shaikh) 655 Knight Way Stanford, CA 94305 USA. E.L.Lehmann and Joseph Romano, "Testing Statistical Hypotheses". 390 Jane Stanford Way Rajaratnam worked with Stanford statistician Joseph Romano and Earth system science graduate student Michael Tsiang to take a fresh look at the hiatus claims. In my work, I have tried to explore the extent of applicability of bootstrap, subsampling and other resampling methods, as well as understanding their limitations. Also known as: Joseph William Stanford JR, Joseph William Stanford, Joseph W Stanfordjr. McMurry, T. L., Politis, D. N., Romano, J. P. On the third edition of Testing Statistical Hypotheses, Supplement to "On the uniform asymptotic validity of subsampling and the bootstrap", Consonance and the Closure Method in Multiple Testing, K-sample subsampling in general spaces: The case of independent time series, BALANCED CONTROL OF GENERALIZED ERROR RATES, Inference for the Identified Set in Partially Identified Econometric Models. He has coauthored two other books, Subsampling with Dimitris Politis and Michael Wolf, and Counterexamples in Probability and Statistics with Andrew Siegel. Joseph Romano. A permutation test based on the sample correlation is known to be an . Read more about Angeline Lim, MD in Stanford, CA. He is a recipient of a Presidential Young Investigator Award and a Fellow of the Institute of Mathematical Statistics. While much of my own research has been theoretically oriented, much of it has been motivated by a desire to develop practical statistical methodology in order to construct techniques that may be applied safely in practice. Joseph Romano named 2021 LGBTQ+ Scientist of the Year Recognizing numerous outstanding contributions to his field with impacts ranging from econometrics to climate science, the LGBTQ+ Scientist of. Stanford, California 94305-4065 . In contrast, mathematics is exact, where the goal is to prove theorems based on a well-defined set of assumptions. Free shipping worldwide. A permutation test based on the sample correlation is known to be an . Professor Joseph Romano, romano@stanford.edu. Joseph F Stanford. Work in progress is described under "Projects", View details for DOI 10.1080/01621459.2021.1883437, View details for Web of Science ID 000646152300001, View details for DOI 10.1177/1536867X20976314, View details for Web of Science ID 000603072600005, View details for DOI 10.1016/j.spl.2020.108865, View details for Web of Science ID 000568993400018, View details for DOI 10.1016/j.ecosta.2018.06.005, View details for Web of Science ID 000461808600006, View details for DOI 10.5705/ss.202017.0072, View details for Web of Science ID 000462741700024, View details for DOI 10.1016/j.jeconom.2016.10.003, View details for Web of Science ID 000393932700001, View details for DOI 10.1080/01621459.2016.1212117, View details for DOI 10.1080/01621459.2016.1202117, View details for Web of Science ID 000416611500029, View details for DOI 10.1016/j.jeconom.2016.01.003, View details for Web of Science ID 000377310100005, View details for DOI 10.1016/j.spl.2016.02.012, View details for Web of Science ID 000374808900006, View details for DOI 10.1016/j.jspi.2015.07.004, View details for Web of Science ID 000364244500007, View details for DOI 10.1007/s10584-015-1495-y, View details for Web of Science ID 000363483800001, View details for DOI 10.1016/j.jspi.2015.02.009, View details for Web of Science ID 000355025200002, View details for Web of Science ID 000342905900012, View details for DOI 10.1016/j.jempfin.2013.05.001, View details for Web of Science ID 000324083600007, View details for Web of Science ID 000320488200004, View details for DOI 10.1214/13-AOS1090SUPP, View details for Web of Science ID 000321845400002, View details for DOI 10.1111/j.1751-5823.2012.00177.x, View details for Web of Science ID 000302611600012, View details for DOI 10.1214/12-AOS1041SUPP, View details for DOI 10.2202/1557-4679.1300, View details for Web of Science ID 000295789600012, View details for DOI 10.1016/j.jmva.2008.11.005, View details for Web of Science ID 000272526300003, View details for Web of Science ID 000273800100018, View details for Web of Science ID 000274388800006, View details for DOI 10.1146/annurev.economics.102308.124342, View details for Web of Science ID 000290636900004, View details for DOI 10.1093/biomet/asp006, View details for Web of Science ID 000266344300011, View details for DOI 10.1080/10485250902846900, View details for Web of Science ID 000265336200005, View details for DOI 10.1007/s11749-008-0126-6, View details for Web of Science ID 000261693400001, View details for DOI 10.1016/j.jspi.2008.03.015, View details for Web of Science ID 000256602600017, View details for DOI 10.1017/S0266466608080171, View details for Web of Science ID 000253574300005, View details for Web of Science ID 000258056000038, View details for DOI 10.1214/009053606000001622, View details for Web of Science ID 000249568000002. Search for more papers by this author DN Politis, JP Romano. My professional life combines . I am gay and I am a statistician.//. Lehmann, E. L., Romano, J. P., Shaffer, J. P. Generalizations of the familywise error rate, Exact and approximate stepdown methods for multiple hypothesis testing, On non-parametric testing, the uniform behaviour of the t-test, and related problems, Inference for autocorrelations in the possible presence of a unit root, Explicit nonparametric confidence intervals for the variance with guaranteed coverage, Automatic adaptive estimation via the boostrap, Subsampling intervals in autoregressive models with linear time trend, Finite sample nonparametric inference and large sample efficiency, A more general central limit theorem for m-dependent random variables with unbounded m, Subsampling, symmetrization, and robust interpolation, Weak convergence of dependent empirical measures with application to subsampling in function spaces, On subsampling estimators with unknown rate of convergence. . Joseph Romano. Brandon. Footer contact links Found inside – Page 4349Ph 631-420-2182 i ROMANO Joan Math & Comput Sd, St. Joseph's Col Suffolk Campus, 155 W Roe Blvd. Patchogue NY 11772-2325 i Ph ... Stanford U, 390 Serra Mall. i Stanford CA 94305-4020 ¡ Ph 650-723-2620 I ROMANO Judy E Dent Careers, ... 257. Exam Committee, Stanford University (1989 - 1990), Ph.D. Student Selection, Stanford University (1989 - 1990), Member, Curriculum Committee, Stanford University (1988 - 1989), Masters Student Advisor, Stanford University (1987 - 1988), Seminar Chairperson, Ph.D. Politis, D. N., Romano, J. P., You, L. F. Estimating the distribution of a studentized statistic by subsampling, ON A FAMILY OF SMOOTHING KERNELS OF INFINITE-ORDER, A GENERAL RESAMPLING SCHEME FOR TRIANGULAR ARRAYS OF ALPHA-MIXING RANDOM-VARIABLES WITH APPLICATION TO THE PROBLEM OF SPECTRAL DENSITY-ESTIMATION, BOOTSTRAP CONFIDENCE BANDS FOR SPECTRA AND CROSS-SPECTRA. . Professor of Statistics. Bertail, P., Politis, D. N., Romano, J. P. An invariance principle for triangular arrays of dependent variables with application to autocovariance estimation, Multivariate density estimation with general flat-top kernels of infinite order. View the profiles of people named Joe Romano. As we don't have their phone number on our records, you can contact them directly at 2400 Samaritan Drive, Suite 103. Explores the application of bootstrap to problems that place unusual demands on the method. Surgeons are the creators and disseminators of new knowledge—and with their leadership and medical teams have the tools they need to . Cyrus J. DiCiccio. Technical Report No. Barry Press, MD is located approximately 57 miles from Los Banos. Joseph P. Romano Department of Statistics Sequoia Hall Stanford University Stanford, CA 94305-4035 Phone: (650) 723-6326 Fax: (650) 725-8977 E-mail: romano (at) stanford (dot) edu For an errata sheet for the 3 rd edition of Testing Statistical Hypotheses, click here. Partition the Congratulations to Professor Romano for this outstanding achievement! STANFORD UNIVERSITY . We welcome any additional information. Department of Statistics, Stanford University. Bittman, R. M., Romano, J. P., Vallarino, C., Wolf, M. Discussion of 'Parametric versus nonparametrics: two alternative methodologies', Control of the false discovery rate under dependence using the bootstrap and subsampling, Inference for identifiable parameters in partially identified econometric models, Formalized data snooping based on generalized error rates, Discussion: On methods controlling the false discover rate, Control of generalized error rates in multiple testing, A generalized Sidak-Holm procedure and control of generalized error rates under independence, Stepup procedures for control of generalizations of the familywise error rate, Improved nonparametric confidence intervals in time series regressions, On stepdown control of the false discovery proportion, A generalized Sidák procedure and control of generalized error rates under independence, Stepwise multiple testing as formalized data snooping, Optimal testing of equivalence hypotheses, On optimality of stepdown and stepup multiple test procedures. 1303-1313. When k=1, the procedure reduces to the classical method of Sidak, and the stepdown procedure is unimprovable and strictly dominates that of Sarkar. Lehmann and Romano is a wonderful, beautiful, necessary book for the shelf of every serious statistician, but in a few ways it is not quite right. Herbert Simon introduced the term 'bounded rationality' (Simon 1957b: 198; see also Klaes & Sent 2005) as a shorthand for his brief against neoclassical economics and his call to replace the perfect rationality assumptions of homo economicus with a conception of rationality tailored to cognitively limited agents.. In many applications, one might be willing to tolerate more than one false rejection provided the number of such cases is controlled, thereby increasing the ability of the procedure to detect false null hypotheses. Except for the case of k-FWER control with k=1, the gains are surprisingly dramatic, and theoretical and numerical evidence is given. Join Facebook to connect with Joe Romano and others you may know. Thus, my goals are the development of universal statistical tools that can be applied to such diverse fields as econometrics, climate science, genetics, clinical trials, finance, education, etc. Barry Press, MD is a doctor specializing in Plastic surgery. He is a recipient of a Presidential Young Investigator Award and a Fellow of the Institute of Mathematical Statistics. BOOTSTRAP CONFIDENCE CONES FOR DIRECTIONAL-DATA. For example current methods in biotechnology generate ultra high throughput data, where expression levels in tens of thousands of genes or SNP data with hundreds of thousands of locations must be analyzed simultaneously. Michael Wolf. Stanford University (B.A. The Annals of Statistics, 1985-2007. , 1992. Date Written: April 23, 2019. Joseph Romano Professor of Statistics and Economics, Stanford University Verified email at stanford.edu Azeem Shaikh University of Chicago Verified email at uchicago.edu Jiafeng Chen Harvard University Verified email at g.harvard.edu Discovering the benefits. Under a monotonicity condition, an unimprovable procedure is obtained. By . Buy Softcover Book. WITH APPLICATION TO FDR CONTROL . Stanford University - Department of Statistics. Stanford, CA 94305-4020. . He is a recipient of a Presidential Young Investigator Award and a Fellow of the Institute of Mathematical Statistics. Rajaratnam, B., Romano, J., Tsiang, M., Diffenbaugh, N. S. On stepwise control of directional errors under independence and some dependence, A PRACTICAL TWO-STEP METHOD FOR TESTING MOMENT INEQUALITIES, Testing for monotonicity in expected asset returns, EXACT AND ASYMPTOTICALLY ROBUST PERMUTATION TESTS, Supplement to "Exact and asymptotically robust permutation tests", ON THE UNIFORM ASYMPTOTIC VALIDITY OF SUBSAMPLING AND THE BOOTSTRAP, Subsampling Inference with K Populations and a Non-standard Behrens-Fisher Problem. Joseph Romano, Stanford University Azeem Shaikh, University of Chicago Yong Cai, Northwestern University Deborah Kim, Northwestern University Related papers: Canay, Romano, and Shaikh (2017) and Cai, Canay, Kim, and Shaikh (2021) Report issues or new requests: issues page Exam Committee, Stanford University (1986 - 1987), Ph.D., University of California, Berkeley (1986), M.S., University of California, Berkeley (1983), Control of directional errors in fixed sequence multiple testing (with Anjana Grandhi and Wenge Guo), Testing for differences between random processes in sample-starved regimes (with Bala Rajaratnam and Michael Tsiang), Randomization tests under an approximate symmetry assumption (with Ivan Canay and Azeem Shaikh), Improved weighted least squares inference (with Cyrus DiCiccio and Michael Wolf), Analysis of error control in large scale two stage multiple testing (with Wenge Guo), Inference in Experiments With Matched Pairs, The Romano-Wolf multiple-hypothesis correction in Stata. Asia Durr had 24 points, Myisha Hines-Allen added 17 and top-seeded Louisville rolled past No. Joseph Romano. Associated persons: Joyce E Stanford (260) 486-0032. Damian Clarke, Joseph P. Romano, and Michael Wolf. At least one important topic is much more important than the book says. Stanford University. Kent, J. T., Davison, A. C., Silverman, B. W., Young, G. A., Daniels, H. E., Tong, H., Garthwaite, P. H., Buckland, S. T., Beran, R., Hall, P., KOSLOW, S., Stewart, D. W., Tibshirani, R. J., Titterington, D. M., Verrall, R. J., Wynn, H. P., Wu, C. F., Hinkley, D., DiCiccio, T. J., Romano, J. P. A REVIEW OF BOOTSTRAP CONFIDENCE-INTERVALS, Counterexamples in Probability and Statistics. . In recent years, I have been interested in developing new methods for multiple testing and multivariate inference, especially driven by the availability of massive data sets. Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. Romano, who joined Stanford in 1986, also is a… Read more. 2018-06 . Landau Economics Building This is especially true when the dependence . Journal of the American Statistical Association: Vol. Quarter Course Instructor; Spring 2021: STATS 305C: Applied Statistics III: Jonathan Taylor: Winter 2021: STATs 315A: Modern Applied Statistics: Learning Joseph P. Romano is Professor of Statistics at Stanford University. Recognizing numerous outstanding contributions to his field with impacts ranging from econometrics to climate science, the LGBTQ+ Scientist of... Joseph Romano named 2021 LGBTQ+ Scientist of the Year. By Dimitris N. Politis, Joseph P. Romano and Michael Wolf University of California, Stanford University and Universitat Pompeu Fabra First Version received July 2001 Abstract. Joseph Romano Named 2021 LGBTQ+ Scientist of the Year. Bibliography Includes bibliographical references (p. [327]-340) and indexes. For example current methods in biotechnology generate ultra high throughput data, where expression levels in tens of thousands of genes or SNP data with hundreds of thousands of locations must be analyzed simultaneously. Magne Mogstad, Joseph P. Romano, Azeem Shaikh and Daniel Wilhelm University of Chicago, Stanford University - Department of Statistics, University of Chicago and University College London Downloads 6 (749,589) 812 - 843. He is a recipient of a Presidential Young Investigator Award and a Fellow of the Institute of Mathematical Statistics. romano@stanford.edu; Address. Politis, D. N., Romano, J. P., Lai, T. L. A nonparametric resampling procedure for multivariate confidence regions in time series analysis, A circular block-resampling procedure for stationary data, EMPIRICAL LIKELIHOOD IS BARTLETT-CORRECTABLE, BOOTSTRAP ADAPTIVE ESTIMATION - THE TRIMMED-MEAN EXAMPLE, ON THE BEHAVIOR OF RANDOMIZATION TESTS WITHOUT A GROUP INVARIANCE ASSUMPTION, NONPARAMETRIC CONFIDENCE-LIMITS BY RESAMPLING METHODS AND LEAST FAVORABLE FAMILIES, ON ADJUSTMENTS BASED ON THE SIGNED ROOT OF THE EMPIRICAL LIKELIHOOD RATIO STATISTIC, COMPARISON OF PARAMETRIC AND EMPIRICAL LIKELIHOOD FUNCTIONS, THE AUTOMATIC PERCENTILE METHOD - ACCURATE CONFIDENCE-LIMITS IN PARAMETRIC MODELS, BOOTSTRAP AND RANDOMIZATION TESTS OF SOME NONPARAMETRIC HYPOTHESES, DO BOOTSTRAP CONFIDENCE PROCEDURES BEHAVE WELL UNIFORMLY IN P, A BOOTSTRAP REVIVAL OF SOME NONPARAMETRIC DISTANCE TESTS, THEORETICAL COMPARISON OF BOOTSTRAP CONFIDENCE-INTERVALS - DISCUSSION, ON WEAK-CONVERGENCE AND OPTIMALITY OF KERNEL DENSITY ESTIMATES OF THE MODE, BOOTSTRAP METHODS - A REVIEW OF BOOTSTRAP CONFIDENCE-INTERVALS - DISCUSSION. Read more about his contributions to the fields of econometrics to climate science. . Joseph P. Romano. ISBN: 978-1-4612-7190-1. JOSEPH ROMANO, professor of statistics and economics, has been named the 2021 LGBTQ+ Scientist of the Year in recognition of . However, if the p-values are mutually independent, one can improve the procedures. In addition, the analysis of data is complicated by large number of features with unknown dependence structures, heterogeneity, model fitting, high dimensionality and other unknown sources of variation. 175 records found for Joseph Romano. Paparoditis, E., Politis, D., Romano, J. D. Bootstrap goodness of fit tests in the frequency domain, Subsampling inference for the mean in the heavy-tailed case, Large sample inference for irregularly spaced dependent observations based on subsamples, Subsampling confidence intervals for the autoregressive root, Subsampling for heteroskedastic time series, Inference for autocorrelations under weak assumptions, On flat-top kernel spectral density estimators for homogeneous random fields, ON BOOTSTRAP PROCEDURES FOR 2ND-ORDER ACCURATE CONFIDENCE-LIMITS IN PARAMETRIC MODELS, Bias-corrected nonparametric spectral estimation, LARGE-SAMPLE CONFIDENCE-REGIONS BASED ON SUBSAMPLES UNDER MINIMAL ASSUMPTIONS, LIMIT-THEOREMS FOR WEAKLY DEPENDENT HILBERT-SPACE VALUED RANDOM-VARIABLES WITH APPLICATION TO THE STATIONARY BOOTSTRAP, Inference for autocorrelations by resampling, NONPARAMETRIC RESAMPLING FOR HOMOGENEOUS STRONG MIXING RANDOM-FIELDS, ON THE SAMPLE VARIANCE OF LINEAR STATISTICS DERIVED FROM MIXING SEQUENCES, UNIFORM CONFIDENCE BANDS FOR THE SPECTRUM BASED ON SUBSAMPLES. Associated persons: Joyce E Stanford (260) 486-0032. Found inside – Page 496Harry V. Roberts , Univ . of Chicago Jeffrey Robinson , General Motors Research Laboratory David M. Rocke , Univ . of California , Davis Joseph Romano , Stanford Univ . B. Rosner , Harvard Medical School P. J. Rousseeuw , Versliuslann ... Some important topics are omitted. However, we show other improvements are possible which appear to be generally much better, and are sometimes unimprovable. The site facilitates research and collaboration in academic endeavors. E-mail address: romano@stanford.edu Dept. I also lead a balanced life with passions in music (having performed at Carnegie Hall), tennis (ranked nationally in my age group), cooking, architecture, and other interests.RESEARCH GOALS:Statistics is concerned with making sense or inferences about the world based on limited information and uncertainties. He is a recipient of a Presidential Young Investigator Award and a Fellow of the Institute of Mathematical Statistics. Romano, Joseph P., 1960-Wolf, Michael (Professor of econometrics and applied statistics) Contents/Summary. The instructor is Professor Han Hong, Room 228, Landau Economics Building. Department of Statistics . UNDER INDEPENDENCE AND SOME DEPENDENCE . In fact, Sarkar (2005) provided such an improvement. Michael Wolf. Confidence intervals in econometric time series regressions suffer from notorious coverage problems. Romano was supported by NSF Grant DMS‐1307973. @stanford: Currently teaching. Joseph Romano (Professor) Manage my profile (650) 723-6326 romano. Joseph Romano is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). FOR GRAPHICALLY STRUCTURED HYPOTHESES . Optimal testing of multiple hypotheses with common effect direction. Given a sample from a bivariate distribution, consider the problem of testing independence. Stanford University The debut novel from critically-acclaimed and New York Times–bestselling author of On Such a Full Sea and My Year Abroad. In Native Speaker, author Chang-rae Lee introduces readers to Henry Park. Softcover Book. USD 109.99. Technical Report No. Ray Stermer. The Stata Journal 2020 20: 4, 812-843 . Journal of Statistical Planning and Inference 138 (9), 2786-2807. , 2008. Barry Press, MD. JP Romano, AM Shaikh. . CLT for U-statistics with growing dimension, Improving weighted least squares inference, CONTROL OF DIRECTIONAL ERRORS IN FIXED SEQUENCE MULTIPLE TESTING, ; Stanford Statistics Department Techincal Report, Inference in experiments with matched pairs, ; Stanford University Statistics Department, A new approach for large scale multiple testing with application to FDR control of graphically structured hypotheses, Supplement to "Robust permutation tests for correlation and regression coefficients", Robust Permutation Tests For Correlation And Regression Coefficients. Stanford, CA 94305Phone: 650-725-3266econ@stanford.edu  Campus Map, "The Stanford Economics Department has two central missions:  to train students at the undergraduate and graduate level in the methods and ideas of modern economics, and to conduct both basic and applied research in economics that pushes forward the frontier of knowledge in the field.". 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