Journal of American Statistical Association

Volume 106, n° 496, December 2011

2011 ASA Presidential Address

  • GELLER Nancy L. - Statistics: An All-Encompassing Discipline, pp. 1225-1229 (texte)

Applications and Case Studies

  • HUANG Lan, ZALKIKAR Jyoti, TIWARI Ram C. - A Likelihood Ratio Test Based Method for Signal Detection With Application to FDA’s Drug Safety Data, pp. 1230-1241
  • LU Tao, LIANG Hua, LI Hongzhe, WU Hulin - High-Dimensional ODEs Coupled With Mixed-Effects Modeling Techniques for Dynamic Gene Regulatory Network Identification, pp. 1242-1258
  • CHEN Minhua, ZAAS Aimee, WOODS Christopher, GINSBURG Geoffrey S., LUCAS Joseph, DUNSON David, CARIN Lawrence - Predicting Viral Infection From High-Dimensional Biomarker Trajectories, pp. 1259-1279
  • JENSEN Shane T., SHORE Stephen H. - Semiparametric Bayesian Modeling of Income Volatility Heterogeneity, pp. 1280-1290
  • KLEIBER William, RAFTERY Adrian E., GNEITING Tilmann - Geostatistical Model Averaging for Locally Calibrated Probabilistic Quantitative Precipitation Forecasting, pp. 1291-1303 (texte)
  • GUTMAN Roee, DEDE Gayle, CAPLAN David, LIU Jun S. - Rasch Model and Its Extensions for Analysis of Aphasic Deficits in Syntactic Comprehension, pp. 1304-1316 (texte)
  • ZHOU Qing - Multi-Domain Sampling With Applications to Structural Inference of Bayesian Networks, pp. 1317-1330
  • SCHWARTZ Scott L., LI Fan, MEALLI Fabrizia - A Bayesian Semiparametric Approach to Intermediate Variables in Causal Inference, pp. 1331-1344
  • CHEN Lin S., PAUL Debashis, PRENTICE Ross L., WANG Pei - A Regularized Hotelling’s T2 Test for Pathway Analysis in Proteomic Studies, pp. 1345-1360

Supplementary..Theory and Methods

  • SCHWEINBERGER Michael - Instability, Sensitivity, and Degeneracy of Discrete Exponential Families, pp. 1361-1370
  • MINNIER Jessica, TIAN Lu, CAI Tianxi - A Perturbation Method for Inference on Regularized Regression Estimates, pp. 1371-1382
  • HANS Chris - Elastic Net Regression Modeling With the Orthant Normal Prior, pp. 1383-1393
  • DAVIDOV Ori, PEDDADA Shyamal - Order-Restricted Inference for Multivariate Binary Data With Application to Toxicology, pp. 1394-1404
  • KIM Mi-Ok, YANG Yunwen - Semiparametric Approach to a Random Effects Quantile Regression Model, pp. 1405-1417
  • DOBRA Adrian, LENKOSKI Alex, RODRIGUEZ Abel - Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data, pp. 1418-1433
  • QIN Jing, NING Jing, LIU Hao, SHEN Yu - Maximum Likelihood Estimations and EM Algorithms With Length-Biased Data, pp. 1434-1449
  • MATTESON David S., TSAY Ruey S. - Dynamic Orthogonal Components for Multivariate Time Series, pp. 1450-1463
  • ZHU Li-Ping, LI Lexin,  LI Runze, ZHU Li-Xing - Model-Free Feature Screening for Ultrahigh-Dimensional Data, pp. 1461-1475
  • LI Pengfei, QIN Jing - A New Nuisance-Parameter Elimination Method With Application to the Unordered Homologous Chromosome Pairs Problem, pp. 1476-1484
  • ZHU Bin, TAYLOR Jeremy M. G., SONG Peter X.-K. - Semiparametric Stochastic Modeling of the Rate Function in Longitudinal Studies, pp. 1485-1495
  • CORRADI Valentina, DISTASO Walter, SWANSON Norman R. - Predictive Inference for Integrated Volatility, pp. 1496-1512
  • DE LIVERA Alysha M., HYNDMAN Rob J., SNYDER Ralph D. - Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing, pp. 1513-1527
  • CANALE Antonio, DUNSON David B. - Bayesian Kernel Mixtures for Counts, pp. 1528-1539
  • HERO Alfred, RAJARATNAM Bala - Large-Scale Correlation Screening, pp. 1540-1552
  • MA Li, WONG Wing Hung - Coupling Optional Pólya Trees and the Two Sample Problem, pp. 1553-1565
  • CAI Tony, LIU Weidong - A Direct Estimation Approach to Sparse Linear Discriminant Analysis, pp. 1566-1577
  • DING Peng, GENG Zhi, YAN Wei, ZHOU Xiao-Hua - Identifiability and Estimation of Causal Effects by Principal Stratification With Outcomes Truncated by Death, pp. 1578-1591
  • PENG Limin, LI Ruosha, GUO Ying, MANATUNGA Amita - A Framework for Assessing Broad Sense Agreement Between Ordinal and Continuous Measurements, pp. 1592-1601 (texte)
  • EFRON Bradley - Tweedie’s Formula and Selection Bias, pp. 1602-1614
  • RUTH David M., KOYAK Robert A. - Nonparametric Tests for Homogeneity Based on Non-Bipartite Matching, pp. 1615-1625
  • TOTH Daniell, ELTINGE John L. - Building Consistent Regression Trees From Complex Sample Data, pp. 1626-1636 (texte)

Book Reviews

  • SCHUMACKER Randall E., LOMAX Richard - A Beginner's Guide to Structural Equation Modelling, p. 1638
  • SAMANIEGO Francisco J. - A Comparison of the Bayesian and Frequnetist Approaches to Estimation, pp. 1638-1639
  • HJORT N. L., HOLMES C., MÜLLER P, WALKER S. - Bayesian Nonparametrics, pp. 1639-1641
  • RAGHAVARAO Damarajuj, WILEY James B., CHITTURI Pallavi - Choice-Based Conjoint Analysis: Models and Designs, p. 1641
  • GENZ Alan, BRETZ Frank - Computation of Multivariate Normal and Probabilities, p. 1641
  • GELFAND Alan E., DIGGLE Peter J., FUENTES Montserrat, GUTTORP Peter - Handbook of Spatial Statistics, p. 1642
  • BOSQ Dennis, BLANKE Delphine - Inference and Prediction in Large Dimensions, p. 1642
  • JIANG Jiming - Large Sample Techniques for Statistics, p. 1643
  • EFRON Bradley - Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing and Prediction, pp. 1643-1644
  • OJA Hannu - Multivariate Nonparametric Methods With R: An Approach Based on Spatial Signs and Ranks, pp. 1644-1645
  • MUMFORD Pattern, DESOLNEUX Agnes - Pattern Theory: The Stochastic Analysis of Real-World-Signals, pp. 1645-1646
  • LIU Wei - Simultaneous Inference in Regression, pp. 1646-1647
  • AITKIN Murray - Statistical Inference: An Integrated Bayesian/Likehood Approach, pp. 1647-1648
  • DAVEY Adam, SAVLA Jyoti - Statistical Power Analysis With Missing Data: A Structural Equation Modeling Approach, p. 1648
  • WELLEK Stefan - Testing Statistical Hypotheses of Equivalence and Noninferiority, p. 1648

(résumés du n° 496)

 

 

 

 

Volume 106, n° 495, September 2011

Applications and Case Studies

  • CRAINICEANU Ciprian M., CAFFO Brian S., LUO Sheng, ZIPINNIKOV Vadim M., PUNJABI Naresh M. - Population Value Decomposition, a Framework for the Analysis of Image Populations, pp. 775-790
  • Comment
    • LAZAR Nicole A., pp. 791-796
    • SHEDDEN Kerby, pp. 796-797
    • LOCK E. F., NOBEL A. B., MARRON J. S. , pp. 798-802
    • WU Ying Nian, pp. 802-803
  • Rejoinder
    • CRAINICEANU Ciprian M., CAFFO Brian S., LUO Sheng, ZIPUNNIKOV Vadim M., PUNJABI Naresh M., pp. 803-806
  • YANG Hongxia, O'BRIEN Sean, DUNSON David B. - Nonparametric Bayes Stochastically Ordered Latent Class Models, pp. 807-817
  • YUAN Ying, YIN Guosheng - Robust EM Continual Reassessment Method in Oncology Dose Finding, pp. 818-831
  • PARK Cheolwoo, AHN Jeongyoun, HENDRY Martin, JANG Woncheol - Analysis of Long Period Variable Stars With Nonparametric Tests for Trend Detection, pp. 832-845
  • ZHANG Yu, LIU Jun S. - Fast and Accurate Approximation to Significance Tests in Genome-Wide Association Studies, pp. 846-857
  • HUYNH Kim P., JACHO-CHAVEZ David T., PETRUNIA Robert J., VOIA Marcel - Functional Principal Component Analysis of Density Families With Categorical and Continuous Data on Canadian Entrant Manufacturing Firms, pp. 858-878
  • CHEN Aiyou, CAO Jin, SHEPP Larry, NGUYEN Tuan - Distinct Counting With a Self-Learning Bitmap, pp. 879-890
  • KUAN Pei Fen, CHUNG Dongjun, PAN Guangjin, THOMSON James A., STEWART Ron, KELES Sündüz - A Statistical Framework for the Analysis of ChIP-Seq Data, pp. 891-903

Theory and Methods

  • LABER Eric B., MURPHY Susan A. - Adaptive Confidence Intervals for the Test Error in Classification, pp. 904-913
  • Comment
    • Richard J. Samworth, pp. 914-915
    • Peter Bühlmann, pp. 916-918
    • Lutz Dümbgen, p. 919
    • Yair Goldberg, Michael R. Kosorok, pp. 920-924
    • Yuhong Yang, Gang Cheng, pp. 924-931
    • Susan Wei, Andrew B. Nobel, pp. 931-936
    • Wolfgang Polonik, pp. 936-940
  • Rejoinder
    • Eric B. Laber, Susan A. Murphy, pp. 940-945
  • DELGADO Miguel A., VELASCO Carlos - An Asymptotically Pivotal Transform of the Residuals Sample Autocorrelations With Application to Model Checking, pp. 946-958
  • FAES C., ORMEROD J. T., WAND M. P. - Variational Bayesian Inference for Parametric and Nonparametric Regression With Missing Data, pp. 959-971
  • KANG Emily L., CRESSIE Noel - Bayesian Inference for the Spatial Random Effects Model, pp. 972-983
  • ZHAO Yihua - Posterior Probability of Discovery and Expected Rate of Discovery for Multiple Hypothesis Testing and High Throughput Assays, pp. 984-996
  • ZENG D. Y. Lin, D. - Correcting for Population Stratification in Genomewide Association Studies, pp. 997-1008
  • LEE Seonjoo, SHEN Haipeng, TRUONG Young, LEWIS Mechelle, HUANG Xuemei - Independent Component Analysis Involving Autocorrelated Sources With an Application to Functional Magnetic Resonance Imaging, pp. 1009-1024
  • TAO Minjing, WANG Yazhen, YAO Qiwei, ZOU Jian - Large Volatility Matrix Inference via Combining Low-Frequency and High-Frequency Approaches, pp. 1025-1040
  • GHOSH Joyee, CLYDE Merlise A. - Rao–Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach, pp. 1041-1052
  • LIANG Hua, ZOU Guohua, WAN Alan T. K., ZHANG Xinyu - Optimal Weight Choice for Frequentist Model Average Estimators, pp. 1053-1066
  • KAIZAR Eloise E., LI Yan, HSU Jason C. - Permutation Multiple Tests of Binary Features Do Not Uniformly Control Error Rates, pp. 1067-1074
  • BIEN Jacob, TIBSHIRANI Robert - Hierarchical Clustering With Prototypes via Minimax Linkage, pp. 1075-1084
  • FREES Edward W., MEYERS Glenn, CUMMINGS A. David - Summarizing Insurance Scores Using a Gini Index, pp. 1085-1098
  • ZHANG Hao, CHENG Guang, LIU Yufeng - Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models, pp. 1099-1112
  • DETTE Holger, PREUß Philip, VETTER Mathias - A Measure of Stationarity in Locally Stationary Processes With Applications to Testing, pp. 1113-1124
  • MAZUMDER Rahul, FRIEDMAN Jerome H., HASTIE Trevor - SparseNet: Coordinate Descent With Nonconvex Penalties, pp. 1125-1138
  • BA Shan, ROSHAN V. Joseph - Multi-Layer Designs for Computer Experiments, pp. 1139-1149
  • BREITUNG Jörg, TENHOFEN Jörn - GLS Estimation of Dynamic Factor Models, pp. 1150-1166
  • ZHU Hongxiao, BROWN Philip J., MORRIS Jeffrey S. - Robust, Adaptive Functional Regression in Functional Mixed Model Framework, pp. 1167-1179
  • MA Yanyuan, HART Jeffrey D., CARROLL Raymond J. - lDensity Estimation in Several Populations With Uncertain Population Membership, pp. 1180-1192
  • DING Xiaobo, WANG Qihua - Fusion-Refinement Procedure for Dimension Reduction With Missing Response at Random, pp. 1193-1207
  • GHOSAL Subhashis, ROY Anindya - Predicting False Discovery Proportion Under Dependence, pp. 1208-1218

Book Reviews

  • FOX Jean-Paul - Bayesian Item Response Modeling: Theory and Applications, p. 1220
  • MÖRTERS Peter, PERES Yuval - Brownian Motion, pp. 1220-1221
  • GUT Allan - An ntermediate Course in Probability, pp. 1221-1222
  • KHURI A. I. - Linear Model Methodology, p. 1222
  • O'HAGAN Anthony, WEST Mike - The Oxford Handbook of Applied Bayesian Analysis, p. 1223
  • JULIOS Steven A. - Sample Sizes for Clinical Trials, p. 1223
  • MEDHI J. - Stochastic Processes, pp. 1223-1224

(résumés du n° 495)

Volume 106, n° 494, June 2011

Applications and Case Studies

  • CRUZ-MARCELO Alejandro, ENSOR Katherine B., ROSNER Gary L. - Estimating the Term Structure With a Semiparametric Bayesian Hierarchical Model: An Application to Corporate Bonds, pp. 387-395
  • GREVEN Sonja, DOMINICI Francesca, ZEGER Scott - An Approach to the Estimation of Chronic Air Pollution Effects Using Spatio-Temporal Information, pp. 396-406
  • IMAI Kosuke - Multivariate Regression Analysis for the Item Count Technique, pp. 407-416
  • FARRINGTON C. Paddy, ANAYA-IZQUIERDO Karim, WHITAKER Heather J., HOCINE Mounia N., DOUGLAS Ian, SMEETH Liam - Self-Controlled Case Series Analysis With Event-Dependent Observation Periods, pp. 417-426
  • ZANTEDESCHI Daniel, DAMIEN Paul, POLSON Nicholas G. - Predictive Macro-Finance With Dynamic Partition Models, pp. 427-439
  • BHADRA Anindya, IONIDES Edward L., LANERI Karina, PASCUAL Mercedes, BOUMA Menno, DHIMAN Ramesh C. - Malaria in Northwest India: Data Analysis via Partially Observed Stochastic Differential Equation Models Driven by Lévy Noise, pp. 440-451
  • MAGNUS Jan R., MELENBERG Bertrand, MURIS Chris - Global Warming and Local Dimming: The Statistical Evidence, pp. 452-464
  • STORELVMO T. Storelvmy, LEIRVIK T. - Comment, pp. 465-467
  • MAGNUS Jan R., MELENBERG Bertrand, MURIS Chris - Rejoinder, pp. 457-468
  • BARTOLUCCI Francesco, GRILLI Leonardo - Modeling Partial Compliance Through Copulas in a Principal Stratification Framework, pp. 469-479
  • GUAN Yongtao, LI Yehua, SINHA Rajita - Cocaine Dependence Treatment Data: Methods for Measurement Error Problems With Predictors Derived From Stationary Stochastic Processes, pp. 480-493
  • FENSKE Nora, KNEIB Thomas, HOTHORN Torsten - Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression, pp. 494-510
  • ZHANG Kai, SMALL Dylan S., LORCH Scott, SRIVINAS Sindhu, ROSENBAUM Paul R. - Using Split Samples and Evidence Factors in an Observational Study of Neonatal Outcomes, pp. 511-524

Theory and Methods

  • HANLON Bret, VIDYASHANKAR Anand N. - Inference for Quantitation Parameters in Polymerase Chain Reactions via Branching Processes With Random Effects, pp. 525-533
  • ANTAL Erika, TILLE Yves - A Direct Bootstrap Method for Complex Sampling Designs From a Finite Population, pp.534-543
  • FAN Jianqing, FENG Yang, SONG Rui - Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models, pp. 544-557
  • JING Bing-Yi, KONG Xin-Bing, LIU Zhi - Estimating the Jump Activity Index Under Noisy Observations Using High-Frequency Data, pp. 558-568
  • CAI Tianxi, ZHENG Yingye - Nonparametric Evaluation of Biomarker Accuracy Under Nested Case-Control Studies, pp. 569-580
  • NOLEN Tracy L., HUDDGENS Michael G. - Randomization-Based Inference Within Principal Strata, pp. 581-593
  • CAI Tony, LIU Weidong, LUO Xi - A Constrained ℓ1 Minimization Approach to Sparse Precision Matrix Estimation, pp. 594-607
  • CHATTERJEE A., LAHIRI S. N. - Bootstrapping Lasso Estimators, pp. 608-625
  • SHE Yiyuan, OWEN Art B. - Outlier Detection Using Nonconvex Penalized Regression, pp. 626-639
  • DELAIGLE Aurore, MEISTER Alexander - Nonparametric Regression Analysis for Group Testing Data, pp. 640-650
  • MAMMEN Enno, MIRANDA María Dolores Martínez, NIELSEN Jens Perch, SPERLICH Stefan -  Do-Validation for Kernel Density Estimation, pp. 651-660
  • BERGESIO Andrea, YOHAI Victor J. - Projection Estimators for Generalized Linear Models, pp. 661-671
  • CAI Tony, LIU Weidong - Adaptive Thresholding for Sparse Covariance Matrix Estimation, pp. 672-684
  • LI Jialiang, ZHANG Wenyang - A Semiparametric Threshold Model for Censored Longitudinal Data Analysis, pp. 685-696
  • KRÄMER Nicole, SUGIYAMA Masashi - The Degrees of Freedom of Partial Least Squares Regression, pp. 697-705
  • VAN AELST Stefan, WILLEMS Gert - Robust and Efficient One-Way MANOVA Tests, pp. 706-718
  • ALIMADAD Azadeh, SALIBIAN-BARRERA Matias - An Outlier-Robust Fit for Generalized Additive Models With Applications to Disease Outbreak Detection, pp. 719-731
  • JIANG Jiming, NGUYEN Thuan, J.RAO Sunil - Best Predictive Small Area Estimation, pp. 732-745
  • GNEITING Tilmann - Making and Evaluating Point Forecasts, pp. 746-762

Book Reviews

  • GIBILISCO Paolo, RICCAMAGNO Eva, ROGANTIN Maria Piera, WYNN Henry P. - Algebraic and Geometric Methods in Statistics, p. 764
  • WATANABE Sumio - Algebraic Geometry and Statistical Learning Theory, p. 764
  • ZIMMERMAN Dale L, NUNEZ-ANTON Vicente A. - Antedependence Models for Longitudinal Data, p. 765
  • TAN Ming T., TIAN Guo-Liang, WANG Kai - Baesian Missing data problems: EM, Data Augmentation and Noniterative Computation, p. 766
  • GEWEKE John - Complete and Incomplete Econometric Models, p. 766
  • GENTLE James E. - Computational Statitstics, p. 767
  • HALLORRAN Elizabeth, LONGINI Ira M., STRUCHINNER Claudio J - Design and Analysis of Vaccine Studies, p. 768
  • KAYE David H. - The doubel Helix and the Law of Evidence, p. 769
  • SEN Pranab K., SINGER Julio M., PEDROSO DE LIMA Antonio C. - From Finite Sample to Asymptotic Methods in Statistics, p. 769
  • CARDY John, FALKOWICH Gregory, GAWEDZKI Krzysztof - Non-Equilibrium Statistical Mechanics and Turbulence, p. 770
  • STARCK Jean-Luc, MURTAGH Fionn, FADILI Jalal M. - Sparse Image and Signal Procession: Wavelets, Curvelets, Morphological Diversity, p. 770
  • GAETON Carlo, GUYON Xavier - Spatial Statistics and Modelling, p. 771

(résumés du n° 494)

Volume 106, n° 493, March 2011

The 2010 ASA Presidential Address

  • PANTULA Sastry G. - Statistics: A Key to Innovation in a Data-Centric World!, pp. 1-5

Applications and Case Studies

  • REICH Brian J., FUENTES Montserrat, DUNSON David B. - Bayesian Spatial Quantile Regression, pp. 6-20
  • KIDWELL Paul, LEBANON Guy, COLLINS-THOMPSON Kevyn - Statistical Estimation of Word Acquisition With Application to Readability Prediction, pp. 21-30
  • FINLEY Andrew O., BANERJEE Sudipto, MacFARLANE David W. - A Hierarchical Model for Quantifying Forest Variables Over Large Heterogeneous Landscapes With Uncertain Forest Areas, pp. 31-48
  • WOODARD Dawn B., GOLDSZMIDT Moises - Online Model-Based Clustering for Crisis Identification in Distributed Computing, pp. 49-60
  • XIAO Guanghua, WANG Xinlei, KHODURSKY Arkady B. - Modeling Three-Dimensional Chromosome Structures Using Gene Expression Data, pp. 61-72
  • SUN Wenguang, WEI Zhi - Multiple Testing for Pattern Identification, With Applications to Microarray Time-Course Experiments, pp. 73-88
  • ROBBINS Michael W., LUND Robert B., GALLAGHER Colin M., LU QiQi - Changepoints in the North Atlantic Tropical Cyclone Record, pp. 89-99
  • G. O. Mohler, M. B. Short, P. J. Brantingham, F. P. Schoenberg, G. E. Tita - Self-Exciting Point Process Modeling of Crime, pp. 100-108
  • TADDY Matthew A., GRAMACY Robert B., POLSON Nicholas G. - Dynamic Trees for Learning and Design, pp. 109-123
  • KANG Jian, JOHNSON Timothy D., NICHOLS Thomas E., WAGER Tor D. - Meta Analysis of Functional Neuroimaging Data via Bayesian Spatial Point Processes, pp. 124-134
  • GILE Krista J. - Improved Inference for Respondent-Driven Sampling Data With Application to HIV Prevalence Estimation, pp. 135-146

Theory and Methods

  • MA Yanyuan, RONCHETTI Elvezio - Saddlepoint Test in Measurement Error Models, pp. 147-156
  • KIM Jae Kwang, YU Cindy Long - A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data, pp. 157-165
  • LIU Yufeng, ZHANG Hao Helen, WU Yichao - Hard or Soft Classification? Large-Margin Unified Machines, pp. 166-177
  • NADKARNI Nivedita V., ZHAO Yingqi, KOSOROK Michael R. - Inverse Regression Estimation for Censored Data, pp. 178-190
  • CARROLL Raymond J., DELAIGLE Aurore, HALL Peter - Testing and Estimating Shape-Constrained Nonparametric Density and Regression in the Presence of Measurement Error, pp. 191-202
  • DUPIUS Debbie J., VICTORIA-FESER Maria-Pia - Fast Robust Model Selection in Large Datasets, pp. 203-212
  • HUNG Ying - Adaptive Probability-Based Latin Hypercube Designs, pp. 213-219
  • LEE Sokbae, SEO Myung Hwan, SHIN Youngki - Testing for Threshold Effects in Regression Models, pp. 220-231
  • LIN Dongyu, FOSTER Dean P., UNGAR Lyle H. - VIF Regression: A Fast Regression Algorithm for Large Data, pp. 232-247
  • CULP Mark - On Propagated Scoring for Semisupervised Additive Models, pp. 248-259
  • ZHONG Ping-Shou, CHEN Song Xi - Tests for High-Dimensional Regression Coefficients With Factorial Designs, pp. 260-274
  • CHEN Kun, CHEN Kehui, MÜLLER Hans-Georg, WANG Jane-Ling - Stringing High-Dimensional Data for Functional Analysis, pp. 275-284
  • ROSENBAUM Paul R. - Some Approximate Evidence Factors in Observational Studies, pp.285-295
  • WOLFSON Julian - EEBoost: A General Method for Prediction and Variable Selection Based on Estimating Equations, pp. 296-305
  • EFROMOVICH Sam - Nonparametric Regression With Predictors Missing at Random, pp. 306-319
  • XIE Minge, SINGH Kesar, STRAWDERMAN William E. - Confidence Distributions and a Unifying Framework for Meta-Analysis, pp. 320-333
  • PAIGE Robert L., CHAPMAN Phillip L., BUTLER Ronald W. - Small Sample LD50 Confidence Intervals Using Saddlepoint Approximations, pp. 334-344
  • IACUS Stefano M., KING Gary, PORRO Giuseppe - Multivariate Matching Methods That Are Monotonic Imbalance Bounding, pp. 345-361
  • DATTA Gauri S., HALL Peter, MANDAL Abhyuday - Model Selection by Testing for the Presence of Small-Area Effects, and Application to Area-Level Data, pp. 362-374

Book Reviews

  • CINGI Hulya, KADILAR Cem - Advances in Sampling Theory - Ratio Method of Estimation, p. 376
  • FINKELSTEIN Michael O. - Basic Concepts of Probability and Statistics in the Law, p. 376
  • VERCELLIS Carlo - Business Intelligence: DAta Mining and Optimization for Decision Making, p. 376
  • ROBERT Christian P., CASELLA George - Introducing Monte Carlo Methods With R., p. 377
  • SCHLATTMANN Peter - Medical Applications of Finite Mixture Models, p. 377
  • RECKASE Mark d. - Multidimensional Item Response Theory, p. 377
  • MOSTELLER Frederick, FIENBERG Stephen A., HOAGLIN David C., TANUR Judith M. - The Pleasures of Statitstics: The Autobiography of Frederick Mosteller, p. 378-379
  • CLARKE Bertrand, FOKOUE Ernest, ZHANG Hao Helen - Principles and Theory for Data Mining and Machine Learning, pp. 379-380
  • KOLLER Daphne, FRIEDMAN Nir - Probabilistic Graphical Models: Principles and Techniques, p. 380
  • HOROWITZ Joel L. - Semiparametric and Nonparametric Methods in Econometrics, pp. 380-381
  • PINKUS Allan - Totally Positive Matrices, pp 381-382

(résumés du n° 493)

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