Content
2011, Volume 98, Issue 3
-   583-598 Functional mixed effects spectral analysis
by Robert T. Krafty & Martica Hall & Wensheng Guo -   599-614 Testing parametric assumptions of trends of a nonstationary time series
by Ting Zhang & Wei Biao Wu -   615-631 Aggregation-cokriging for highly multivariate spatial data
by Reinhard Furrer & Marc G. Genton -   633-645 A construction principle for multivariate extreme value distributions
by F. Ballani & M. Schlather -   647-662 Marginal methods for correlated binary data with misclassified responses
by Zhijian Chen & Grace Y. Yi & Changbao Wu -   663-684 Efficient restricted estimators for conditional mean models with missing data
by Z. Tan -   685-700 Conditional Akaike information under generalized linear and proportional hazards mixed models
by M. C. Donohue & R. Overholser & R. Xu & F. Vaida -   701-710 Generalized varying coefficient models with unknown link function
by C. N. Kuruwita & K. B. Kulasekera & C. M. Gallagher -   711-720 Sudoku-based space-filling designs
by Xu Xu & BEN Haaland & Peter Z. G. Qian -   721-731 Nested orthogonal array-based Latin hypercube designs
by Xu He & Peter Z. G. Qian -   733-739 Robust designs through partially clear two-factor interactions
by Ryan Lekivetz & Boxin Tang -   741-747 Construction of φ p -optimal exact designs with minimum experimental run size for a linear log contrast model in mixture experiments
by Baisuo Jin & Mong-Na Lo Huang -   749-754 On protected estimation of an odds ratio model with missing binary exposure and confounders
by E. J. Tchetgen Tchetgen & A. Rotnitzky -   755-759 Multinomial logit bias reduction via the Poisson log-linear model
by Ioannis Kosmidis & David Firth 
2011, Volume 98, Issue 2
-   251-271 False discovery rates and copy number variation
by Bradley Efron & Nancy R. Zhang -   273-290 Sample size and power analysis for sparse signal recovery in genome-wide association studies
by Jichun Xie & T. Tony Cai & Hongzhe Li -   291-306 Sparse Bayesian infinite factor models
by A. Bhattacharya & D. B. Dunson -   307-323 Bayesian influence analysis: a geometric approach
by Hongtu Zhu & Joseph G. Ibrahim & Niansheng Tang -   325-340 Nonparametric inference for competing risks current status data with continuous, discrete or grouped observation times
by M. H. Maathuis & M. G. Hudgens -   341-354 Time-dependent cross ratio estimation for bivariate failure times
by Tianle Hu & Bin Nan & Xihong Lin & James M. Robins -   355-370 Efficient semiparametric regression for longitudinal data with nonparametric covariance estimation
by Yehua Li -   371-380 Sure independence screening and compressed random sensing
by Lingzhou Xue & Hui Zou -   381-390 Testing against a high-dimensional alternative in the generalized linear model: asymptotic type I error control
by Jelle J. Goeman & Hans C. van Houwelingen & Livio Finos -   391-401 The union closure method for testing a fixed sequence of families of hypotheses
by Han-Joo Kim & A. Richard Entsuah & Justine Shults -   403-416 Maximum smoothed likelihood for multivariate mixtures
by M. Levine & D. R. Hunter & D. Chauveau -   417-431 Distribution estimators and confidence intervals for stereological volumes
by Peter Hall & Johanna Ziegel -   433-448 Maximum likelihood estimation of a generalized threshold stochastic regression model
by Noelle I. Samia & Kung-Sik Chan -   449-458 Optimal design for additive partially nonlinear models
by S. Biedermann & H. Dette & D. C. Woods -   459-471 On balanced random imputation in surveys
by G. Chauvet & J.-C. Deville & D. Haziza -   473-480 Empirical likelihood for small area estimation
by Sanjay Chaudhuri & Malay Ghosh -   481-488 On the likelihood function of Gaussian max-stable processes
by Marc G. Genton & Yanyuan Ma & Huiyan Sang -   489-494 The dimple in Gneiting's spatial-temporal covariance model
by John T. Kent & Mohsen Mohammadzadeh & Ali M. Mosammam -   495-501 An Akaike-type information criterion for model selection under inequality constraints
by R. M. Kuiper & H. Hoijtink & M. J. Silvapulle 
2011, Volume 98, Issue 1
-   1-15 Joint estimation of multiple graphical models
by Jian Guo & Elizaveta Levina & George Michailidis & Ji Zhu -   17-34 The multivariate beta process and an extension of the Polya tree model
by Lorenzo Trippa & Peter Müller & Wesley Johnson -   35-48 Bayesian geostatistical modelling with informative sampling locations
by D. Pati & B. J. Reich & D. B. Dunson -   49-63 Bootstrap inference for mean reflection shape and size-and-shape with three-dimensional landmark data
by S. P. Preston & Andrew T. A. Wood -   65-80 Particle approximations of the score and observed information matrix in state space models with application to parameter estimation
by George Poyiadjis & Arnaud Doucet & Sumeetpal S. Singh -   81-90 A self-normalized confidence interval for the mean of a class of nonstationary processes
by Zhibiao Zhao -   91-106 On asymptotic normality and variance estimation for nondifferentiable survey estimators
by Jianqiang C. Wang & J. D. Opsomer -   107-118 Horvitz--Thompson estimators for functional data: asymptotic confidence bands and optimal allocation for stratified sampling
by Hervé Cardot & Etienne Josserand -   119-132 Parametric fractional imputation for missing data analysis
by Jae Kwang Kim -   133-146 Partial envelopes for efficient estimation in multivariate linear regression
by Zhihua Su & R. Dennis Cook -   147-162 Estimation of covariate effects in generalized linear mixed models with informative cluster sizes
by John M. Neuhaus & Charles E. McCulloch -   163-175 A unified framework for studying parameter identifiability and estimation in biased sampling designs
by Hua Yun Chen -   177-186 Nonparametric estimation for length-biased and right-censored data
by Chiung-Yu Huang & Jing Qin -   187-198 Variance estimation for generalized Cavalieri estimators
by Johanna Ziegel & Eva B. Vedel Jensen & Karl-Anton Dorph-Petersen -   199-214 The effect of correlation in false discovery rate estimation
by Armin Schwartzman & Xihong Lin -   215-224 Assessing the validity of weighted generalized estimating equations
by A. Qu & G. Y. Yi & P. X.-K. Song & P. Wang -   225-230 Data-driven selection of the spline dimension in penalized spline regression
by Göran Kauermann & Jean D. Opsomer -   231-236 A novel reversible jump algorithm for generalized linear models
by M. Papathomas & P. Dellaportas & V. G. S. Vasdekis -   237-242 Recapture models under equality constraints for the conditional capture probabilities
by A. Farcomeni -   243-250 Testing a linear time series model against its threshold extension
by Guodong Li & Wai Keung Li 
2010, Volume 97, Issue 4
-   773-789 On the behaviour of marginal and conditional AIC in linear mixed models
by Sonja Greven & Thomas Kneib -   791-805 Additive modelling of functional gradients
by Hans-Georg Müller & Fang Yao -   807-824 Most-predictive design points for functional data predictors
by F. Ferraty & P. Hall & P. Vieu -   825-838 Noncrossing quantile regression curve estimation
by Howard D. Bondell & Brian J. Reich & Huixia Wang -   839-850 Censored quantile regression with partially functional effects
by Jing Qian & Limin Peng -   851-865 Nonparametric Bayesian density estimation on manifolds with applications to planar shapes
by Abhishek Bhattacharya & David B. Dunson -   867-880 A weighted estimating equation approach for inhomogeneous spatial point processes
by Yongtao Guan & Ye Shen -   881-892 Bootstrap confidence intervals and hypothesis tests for extrema of parameters
by Peter Hall & Hugh Miller -   893-904 Consistent selection of the number of clusters via crossvalidation
by Junhui Wang -   905-920 Penalized high-dimensional empirical likelihood
by Cheng Yong Tang & Chenlei Leng -   921-934 Estimation of controlled direct effects on a dichotomous outcome using logistic structural direct effect models
by Stijn Vansteelandt -   935-946 Compound optimal allocation for individual and collective ethics in binary clinical trials
by Alessandro Baldi Antognini & Alessandra Giovagnoli -   947-960 Enhancing the sample average approximation method with U designs
by Qi Tang & Peter Z. G. Qian -   961-968 Probability-based Latin hypercube designs for slid-rectangular regions
by Ying Hung & Yasuo Amemiya & Chien-Fu Jeff Wu -   969-976 Varying coefficient transformation models with censored data
by Kani Chen & Xingwei Tong -   977-984 On the Voronoi estimator for the intensity of an inhomogeneous planar Poisson process
by C. D. Barr & F. P. Schoenberg -   985-989 Some insights into continuum regression and its asymptotic properties
by Xin Chen & R. Dennis Cook -   990-996 On the equivalence of prospective and retrospective likelihood methods in case-control studies
by Ana-Maria Staicu -   997-1001 A note on overadjustment in inverse probability weighted estimation
by Andrea Rotnitzky & Lingling Li & Xiaochun Li -   1002-1005 Parameter redundancy with covariates
by Diana J. Cole & Byron J. T. Morgan -   1006-1012 Marginal log-linear parameterization of conditional independence models
by Tamás Rudas & Wicher P. Bergsma & Renáta Németh -   1013-1013 Amendments and Corrections
by Soumik Pal 
2010, Volume 97, Issue 3
-   519-538 Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs
by Ali Shojaie & George Michailidis -   539-550 A new approach to Cholesky-based covariance regularization in high dimensions
by Adam J. Rothman & Elizaveta Levina & Ji Zhu -   551-566 Penalized Bregman divergence for large-dimensional regression and classification
by Chunming Zhang & Yuan Jiang & Yi Chai -   567-584 Shape curves and geodesic modelling
by Kim Kenobi & Ian L. Dryden & Huiling Le -   585-601 A class of grouped Brunk estimators and penalized spline estimators for monotone regression
by Xiao Wang & Jinglai Shen -   603-620 On the asymptotic behaviour of the pseudolikelihood ratio test statistic with boundary problems
by Yong Chen & Kung-Yee Liang -   621-630 Accurate and robust tests for indirect inference
by Veronika Czellar & Elvezio Ronchetti -   631-645 Detecting simultaneous changepoints in multiple sequences
by Nancy R. Zhang & David O. Siegmund & Hanlee Ji & Jun Z. Li -   647-659 Sufficient cause interactions for categorical and ordinal exposures with three levels
by Tyler J. Vanderweele -   661-682 Bounded, efficient and doubly robust estimation with inverse weighting
by Zhiqiang Tan -   683-698 Analysis of cohort studies with multivariate and partially observed disease classification data
by Nilanjan Chatterjee & Samiran Sinha & W. Ryan Diver & Heather Spencer Feigelson -   699-712 A semiparametric additive rate model for recurrent events with an informative terminal event
by Donglin Zeng & Jianwen Cai -   713-726 Attributable fraction functions for censored event times
by Li Chen & D. Y. Lin & Donglin Zeng -   727-740 Estimating species richness by a Poisson-compound gamma model
by Ji-Ping Wang -   741-755 Properties of nested sampling
by Nicolas Chopin & Christian P. Robert -   757-764 Empirical likelihood methods for two-dimensional shape analysis
by Getulio J. A. Amaral & Andrew T. A. Wood -   765-772 Strictly stationary solutions of autoregressive moving average equations
by Peter J. Brockwell & Alexander Lindner 
2010, Volume 97, Issue 2
-   261-278 Variable selection in high-dimensional linear models: partially faithful distributions and the pc -simple algorithm
by P. Bühlmann & M. Kalisch & M. H. Maathuis -   279-294 Dimension reduction for non-elliptically distributed predictors: second-order methods
by Yuexiao Dong & Bing Li -   295-304 Sufficient dimension reduction through discretization-expectation estimation
by Liping Zhu & Tao Wang & Lixing Zhu & Louis Ferré -   305-319 Semiparametric dimension reduction estimation for mean response with missing data
by Zonghui Hu & Dean A. Follmann & Jing Qin -   321-332 On the relative efficiency of using summary statistics versus individual-level data in meta-analysis
by D. Y. Lin & D. Zeng -   333-345 Evidence factors in observational studies
by Paul R. Rosenbaum -   347-360 A theory for testing hypotheses under covariate-adaptive randomization
by Jun Shao & Xinxin Yu & Bob Zhong -   361-374 Efficient estimation in multi-phase case-control studies
by A. J. Lee & A. J. Scott & C. J. Wild -   375-388 Risk-adjusted monitoring of time to event
by A. Gandy & J. T. Kvaløy & A. Bottle & F. Zhou -   389-404 Calibrating parametric subject-specific risk estimation
by T. Cai & L. Tian & Hajime Uno & Scott D. Solomon & L. J. Wei -   405-418 Interval estimation for drop-the-losers designs
by Samuel S. Wu & Weizhen Wang & Mark C. K. Yang -   419-433 Efficient scalable schemes for monitoring a large number of data streams
by Y. Mei -   435-446 Estimating linear dependence between nonstationary time series using the locally stationary wavelet model
by J. Sanderson & P. Fryzlewicz & M. W. Jones -   447-464 A sequential smoothing algorithm with linear computational cost
by Paul Fearnhead & David Wyncoll & Jonathan Tawn -   465-480 The horseshoe estimator for sparse signals
by Carlos M. Carvalho & Nicholas G. Polson & James G. Scott -   481-496 Likelihood ratio statistics based on an integrated likelihood
by T. A. Severini -   497-504 Objective Bayes and conditional inference in exponential families
by Thomas J. Diciccio & G. Alastair Young -   505-512 Copula inference under censoring
by M. L. Lakhal-Chaieb -   513-518 Optimal designs for the emax, log-linear and exponential models
by H. Dette & C. Kiss & M. Bevanda & F. Bretz 
2010, Volume 97, Issue 1
-   1-13 Systematic sampling with errors in sample locations
by Johanna Ziegel & Adrian Baddeley & Karl-Anton Dorph-Petersen & Eva B. Vedel Jensen -   15-30 Cross-covariance functions for multivariate random fields based on latent dimensions
by Tatiyana V. Apanasovich & Marc G. Genton -   31-48 Incorporating prior probabilities into high-dimensional classifiers
by Peter Hall & Jing-Hao Xue -   49-64 Functional quadratic regression
by Fang Yao & Hans-Georg Müller -   65-78 Marginal analyses of longitudinal data with an informative pattern of observations
by D. M. Farewell -   79-93 Generalized empirical likelihood methods for analyzing longitudinal data
by Suojin Wang & Lianfen Qian & Raymond J. Carroll -   95-108 On the use of stochastic ordering to test for trend with clustered binary data
by Aniko Szabo & E. Olusegun George -   109-121 Stochastic approximation with virtual observations for dose-finding on discrete levels
by Ying Kuen Cheung & Mitchell S. V. Elkind -   123-132 Sharp bounds on causal effects in case-control and cohort studies
by Manabu Kuroki & Zhihong Cai & Zhi Geng -   133-145 A semiparametric random effects model for multivariate competing risks data
by Thomas H. Scheike & Yanqing Sun & Mei-Jie Zhang & Tina Kold Jensen -   147-158 Estimation of the retransformed conditional mean in health care cost studies
by Huixia Judy Wang & Xiao-Hua Zhou -   159-170 Mean loglikelihood and higher-order approximations
by N. Reid & D. A. S. Fraser -   171-180 On doubly robust estimation in a semiparametric odds ratio model
by Eric J. Tchetgen Tchetgen & James M. Robins & Andrea Rotnitzky -   181-198 On Bayesian testimation and its application to wavelet thresholding
by Felix Abramovich & Vadim Grinshtein & Athanasia Petsa & Theofanis Sapatinas -   199-208 Forecasting for quantile self-exciting threshold autoregressive time series models
by Yuzhi Cai -   209-214 A note on the sensitivity to assumptions of a generalized linear mixed model
by D. R. Cox & M. Y. Wong -   215-222 Pseudo-score confidence intervals for parameters in discrete statistical models
by Alan Agresti & Euijung Ryu -   223-230 Global and local spectral-based tests for periodicities
by L. Wei & P. F. Craigmile -   231-237 Weighted least squares approximate restricted likelihood estimation for vector autoregressive processes
by Willa W. Chen & Rohit S. Deo -   238-245 Nonparametric Bayesian inference for the spectral density function of a random field
by Yanbing Zheng & Jun Zhu & Anindya Roy -   246-253 The distribution-based p-value for the outlier sum in differential gene expression analysis
by Lin-An Chen & Dung-Tsa Chen & Wenyaw Chan -   254-259 The maximal data piling direction for discrimination
by Jeongyoun Ahn & J. S. Marron 
2009, Volume 96, Issue 4
-   761-780 Sinh-arcsinh distributions
by M. C. Jones & Arthur Pewsey -   781-792 A new look at time series of counts
by Yunwei Cui & Robert Lund -   793-804 Bias reduction in exponential family nonlinear models
by Ioannis Kosmidis & David Firth -   805-820 Inference on population size in binomial detectability models
by R. M. Fewster & P. E. Jupp -   821-834 Bayesian analysis of matrix normal graphical models
by Hao Wang & Mike West -   835-845 Bayesian lasso regression
by Chris Hans -   847-860 Generalized fiducial inference for wavelet regression
by Jan Hannig & Thomas C. M. Lee -   861-872 Nonparametric estimation of the probability of illness in the illness-death model under cross-sectional sampling
by M. Mandel & R. Fluss -   873-886 Nonparametric estimation for right-censored length-biased data: a pseudo-partial likelihood approach
by Xiaodong Luo & Wei Yann Tsai -   887-901 Marginal hazards model for case-cohort studies with multiple disease outcomes
by S. Kang & J. Cai -   903-915 Tests and confidence intervals for secondary endpoints in sequential clinical trials
by Tze Leung Lai & Mei-Chiung Shih & Zheng Su -   917-932 A unified approach to linearization variance estimation from survey data after imputation for item nonresponse
by Jae Kwang Kim & J. N. K. Rao -   933-944 Some design properties of a rejective sampling procedure
by Wayne A. Fuller -   945-956 Sliced space-filling designs
by Peter Z. G. Qian & C. F. Jeff Wu -   957-970 Nested Latin hypercube designs
by Peter Z. G. Qian -   971-974 Construction of orthogonal Latin hypercube designs
by Fasheng Sun & Min-Qian Liu & Dennis K. J. Lin -   975-982 Maximum likelihood estimation using composite likelihoods for closed exponential families
by Kanti V. Mardia & John T. Kent & Gareth Hughes & Charles C. Taylor -   983-990 Adaptive approximate Bayesian computation
by Mark A. Beaumont & Jean-Marie Cornuet & Jean-Michel Marin & Christian P. Robert -   991-997 Semiparametric methods for evaluating risk prediction markers in case-control studies
by Ying Huang & Margaret Sullivan Pepe -   998-1004 A note on the variance of doubly-robust G-estimators
by E. E. M. Moodie -   1005-1011 A note on automatic variable selection using smooth-threshold estimating equations
by Masao Ueki -   1012-1018 A note on adaptive Bonferroni and Holm procedures under dependence
by Wenge Guo -   1019-1023 A note on a conjectured sharpness principle for probabilistic forecasting with calibration
by Soumik Pal -   1024-1024 Generalized method of moments estimation for linear regression with clustered failure time data
by Hui Li & Guosheng Yin 
2009, Volume 96, Issue 3
-   497-512 Objective Bayesian model selection in Gaussian graphical models
by C. M. Carvalho & J. G. Scott -   513-527 Adaptive regularization using the entire solution surface
by S. Wu & X. Shen & C. J. Geyer -   529-544 Asymptotic properties of penalized spline estimators
by Gerda Claeskens & Tatyana Krivobokova & Jean D. Opsomer -   545-558 Empirical Bayes estimation for additive hazards regression models
by Debajyoti Sinha & M. Brent McHenry & Stuart R. Lipsitz & Malay Ghosh -    559-575 Improving point and interval estimators of monotone functions by rearrangement
by V. Chernozhukov & I. Fernández-Val & A. Galichon -   577-590 Induced smoothing for the semiparametric accelerated failure time model: asymptotics and extensions to clustered data
by Lynn M. Johnson & Robert L. Strawderman -   591-600 Weighted Breslow-type and maximum likelihood estimation in semiparametric transformation models
by Yi-Hau Chen -   601-615 Pseudo-partial likelihood for proportional hazards models with biased-sampling data
by Wei Yann Tsai -   617-633 Pseudo-partial likelihood estimators for the Cox regression model with missing covariates
by Xiaodong Luo & Wei Yann Tsai & Qiang Xu -   635-644 Approximating the α-permanent
by S. C. Kou & P. McCullagh -   645-661 Markov models for accumulating mutations
by N. Beerenwinkel & S. Sullivant -   663-676 Gaussian process emulation of dynamic computer codes
by S. Conti & J. P. Gosling & J. E. Oakley & A. O'Hagan -   677-690 Optimal repeated measurement designs for a model with partial interactions
by P. Druilhet & W. Tinsson -   691-709 Use of functionals in linearization and composite estimation with application to two-sample survey data
by C. Goga & J.-C. Deville & A. Ruiz-Gazen -   711-722 Effects of data dimension on empirical likelihood
by Song Xi Chen & Liang Peng & Ying-Li Qin -   723-734 Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
by Weihua Cao & Anastasios A. Tsiatis & Marie Davidian -   735-749 A negative binomial model for time series of counts
by Richard A. Davis & Rongning Wu -   751-760 A Student t-mixture autoregressive model with applications to heavy-tailed financial data
by C. S. Wong & W. S. Chan & P. L. Kam 
2009, Volume 96, Issue 2
-   249-262 Nonparametric Bayes local partition models for random effects
by David B. Dunson -   263-276 Mixtures of Polya trees for flexible spatial frailty survival modelling
by Luping Zhao & Timothy E. Hanson & Bradley P. Carlin -   277-291 Gamma frailty transformation models for multivariate survival times
by Donglin Zeng & Qingxia Chen & Joseph G. Ibrahim -   293-306 Generalized method of moments estimation for linear regression with clustered failure time data
by Hui Li & Guosheng Yin -   307-322 Hierarchically penalized Cox regression with grouped variables
by S. Wang & B. Nan & N. Zhu & J. Zhu -   323-337 A generalized Dantzig selector with shrinkage tuning
by Gareth M. James & Peter Radchenko -   339-355 A group bridge approach for variable selection
by Jian Huang & Shuange Ma & Huiliang Xie & Cun-Hui Zhang -   357-370 Covariate-adjusted generalized linear models
by Damla Şentürk & Hans-Georg Müller -   371-382 Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve
by Holly Janes & Margaret S. Pepe -   383-398 Nonparametric additive regression for repeatedly measured data
by Raymond J. Carroll & Arnab Maity & Enno Mammen & Kyusang Yu -    399-410 Optimal testing of multiple hypotheses with common effect direction
by Richard M. Bittman & Joseph P. Romano & Carlos Vallarino & Michael Wolf -   411-426 Non-finite Fisher information and homogeneity: an EM approach
by P. Li & J. Chen & P. Marriott -   427-443 Double block bootstrap confidence intervals for dependent data
by Stephen M. S. Lee & P. Y. Lai -   445-456 Marginal analysis of panel counts through estimating functions
by X. Joan Hu & Stephen W. Lagakos & Richard A. Lockhart -   457-468 Jackknife estimation of mean squared error of small area predictors in nonlinear mixed models
by Sharon L. Lohr & J. N. K. Rao -   469-478 Scale adjustments for classifiers in high-dimensional, low sample size settings
by Yao-Ban Chan & Peter Hall -   479-486 Saddlepoint approximation for mixture models
by A. C. Davison & D. Mastropietro -   487-493 Some results on D-optimal designs for nonlinear models with applications
by Gang Li & Dibyen Majumdar -   494-496 Dimension reduction in time series and the dynamic factor model
by Daniel Peña 
2009, Volume 96, Issue 1
-   1-17 Modelling pairwise dependence of maxima in space
by Philippe Naveau & Armelle Guillou & Daniel Cooley & Jean Diebolt -   19-36 Efficient nonparametric estimation of causal effects in randomized trials with noncompliance
by Jing Cheng & Dylan S. Small & Zhiqiang Tan & Thomas R. Ten Have -   37-50 Partial and latent ignorability in missing-data problems
by Ofer Harel & Joseph L. Schafer -   51-65 Orthogonal and nearly orthogonal designs for computer experiments
by Derek Bingham & Randy R. Sitter & Boxin Tang 
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