Y. Chen, S.-C. Lin, Y. Zhou, O. Carmichael, H.-G. Müller and J.-L. Wang. (2024).
Gradient Synchronization for Multivariate Functional Data with Application to Brain Connectivity.
Journal of Royal Statistical Society, Series B: Statistical Methodology. To
appear. [academic.oup.com]
S. Hao, S.-C. Lin, J.-L. Wang and Q. Zhong (2023). Dynamic Modeling for
Multivariate Functional and Longitudinal Data. Journal of Econometrics. To
appear.[sciencedirect.com]
Q. Zhong and J.-L. Wang (2023). Neural Networks for Partially Linear Quantile Regression. Journal of Business and Economics
Statistics. To appear. [www.tandfonline.com]
C. Zhu and J.-L. Wang (2023). Testing Marginal Homogeneity for Functional Data:
the Trouble with Sparse Data. Journal of Royal Statistical Society, Series B:
Statistical Methodology. 85, 705-731. [academic.oup.com]
C. Zhu, Y.Chen, H.-G. Müller, J.-L. Wang, J. O’Muircheartaigh, M. Bruchhage, S. Deoni and RENASONCE CONSORTIUM (2023). Trajectories of
Brain Volumes in Young Children Are Associated with Maternal Education. Human Brain Mapping, 44, 3168-3179.
Y. Zhou, H.-G. Müller, C. Zhu, Y. Chen, J.-L. Wang, J. O’Muircheartaigh, M. Bruchhage, S. Deoni and RENASONCE CONSORTIUM (2023).
Network Evolution of Regional Brain Volumes in Young Children Reflects Neurocognitive Scores and Mother's Education. Scientific
Reports, 13 (1), 2984. DOI: [doi.org]
C. Jiang, E. Lila, J. Aston and J.-L. Wang (2022). Eigen-Adjusted Functional Principal Component Analysis. Accepted by Journal of
Computational and Graphical Statistics, 31, 1141-1152. [www.tandfonline.com]
Q. Zhong, J. Müller and J.-L. Wang (2022). Deep Learning for the Partial Linear Cox Model. Annals of Statistics, 50, 1348-1375.
Z. Lin and J.-L. Wang (2022). Mean and covariance estimation for functional snippets. Journal of the American Statistical
Association, 117, 348-360. [www.tandfonline.com]
Q. Zhong, J. Müller and J.-L. Wang (2021). Deep Extended Hazard Models for Survival Analysis. Advances in Neural Information
Processing Systems (NeurIPS). [proceedings.neurips.cc]
J. Yao, J. Müller and J.-L. Wang (2021). Deep Learning for Functional Data Analysis with Adaptive Basis Layers. 2021 International
Conference in Machine Learning (ICML). [proceedings.mlr.press]
Y. Chen, P. Dubey, H.-G. Müller, M. Bruchhage, J.-L. Wang, S. Deoni (2021). Modeling Sparse Longitudinal Data in Early
Neurodevelopment. NeuroImage, 237. 118079 [doi.org]
Z. Lin, J.-L. Wang and Q. Zhong (2021). Basis expansions for functional snippets. Biometrika, 108, 709-726.
[academic.oup.com]
S.-E. Moon, C.-J. Chen, C.-J. Hsieh, J.-L. Wang, J.-S. Lee (2020). Emotional EEG classification using connectivity features and
convolutional neural networks. Neural Networks, 132, 96-107. [www.sciencedirect.com]
C. Carroll, S. Bhattacharjee, Y. Chen, P. Dubey, J. Fan, Á. Gajardo, X. Zhou1, H.-G. Müller and J.-L. Wang (2020). Time dynamics of
COVID‑19. Scientific Report, 10, Article number: 21040 (2020) [www.nature.com]
C. Xu, P. Z. Hadjipantelis and J.-L. Wang (2020). Semparametric joint modeling of survival and longitudinal data: The R package JSM. Journal of Statistic al Software 93, 1-29. (Link)
P. Yang, J. Chen, C.-J. Cho, J.-L. Wang and M. Jordan (2020). Greedy Attack and Gumbel Attack: Generating Adversarial Examples on Discrete Data. Journal of Machine Learning Research 21, 1-36. (PDF)
P. Yang, J. Chen, C.-J. Cho, J.-L. Wang and M. Jordan (2020) ML-LOO: Detecting Adversarial Examples with Feature Attribution. Presentation at Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). (PDF)
X. Zhang, Q. Zhong and J.-L. Wang (2020). A new approach to varying coefficient additive model with longitudinal data. Computational Statistics and Data Analysis 145, (Link)
R. G. Huey, C. Carroll, R. Salisbury, J.-L. Wang (2020). Mountaineers on Mount Everest: effects of age, sex, experience, and crowding on rates of success and death. PLoS One, 15(8): e0236919.
H. Zhu, K. Chen, X. Lou, Y. Yuan and J.-L.Wang (2019). FMPM: Functional Mixed Processes Models for Longitudinal Functional Responses. Statistica Sinica 29, 2007-2033.
C.-J. Chen and J.-L. Wang (2019). A New Approach for Functional Connectivity via Alignment of Blood Oxygen Level-Dependent Signals, Brain Connectivity 9, 464-474. (Link)
X. Dai, P. Hadjipantelis, J.-L. Wang, S. Deoni and H.-G. Mller (2019). Longitudinal association between white matter maturation and cognitive development across early childhood. Human Brain Mapping 40, 4130-414. (Link)
Y. Zhou, S.-C. Lin and J.-L. Wang (2018). Local and global temporal correlations for longitudinal data. Journal of Multivariate Analysis, 167, 1-14.
(Link)
X. Zhang and J.-L. Wang (2018). Optimal Weighing Schemes for Longitudinal and Functional Data. Statistics and Probability Letters, 138, 165-170. (Link)
J.-L. Wang (2017). An Odyssey to Incomplete Data: Winfried Stute's Contribution to Survival Analysis. From Statistics to Mathematical Finance - Festschrift in Honour of Winfried Stute, 3-23. Ed. Ferger et al., Springer. (Link)
C. Jiang, J. Aston and J.-L.Wang (2017). A functional approach to deconvolve dynamic neuroimaging data. Journal of the American Statistical Association, 111, 113. (Link)
J.-L. Wang, J.-M. Chiou and H.-G. Mller (2016). Functional data analysis. Annal Review of Statistics and Its Applications, 3, 257-95. (Link)
Y. Su and J.-L. Wang (2016). Semiparametric efficient estimation for shared-frailty model with doubly-censored clustered data. Annals of Statistics, 44, 1298-1331.
(Link)
S. Qu , J.-L. Wang and X. Wang (2016). Optimal estimation for the functional Cox model. Annals of Statistics, 44, 1708-1738.
(Link)
X. Zhang and J.-L. Wang (2016). From sparse to dense functional data and beyond. Annals of Statistics, 44, 2281-2321.
(PDF)
S. Liu, Y. Zhou, R. Palumbo, and J.-L. Wang (2016). Dynamical Correlation: A New Method for Quantifying Synchrony with Multivariate Intensive Longitudinal Data. Psychological Methods, 21, 291-308.
(Link)
J. F. Harwood, K. Chen, P. Liedo, H.-G. Mller, J.-L. Wang, A. .E. Morice and J. R. Carey (2015). Female access and diet affect insemination success, and the cost of reproduction in male Mexican fruit flies (Anastrepha ludens). Physiological Entomology, 40, 65-71.
(PDF)
C. Xu, P. Bain and J.-L. Wang (2015). Improved Estimation and Uncertainty Quantifcation Using Monte Carlo-based Optimization, Journal of Computational and Graphical Statistics,24, 771-791.
(PDF)
Cong Xu, Paul D. Baines and Jane-Ling Wang (2014). Standard error estimation using the EM algorithm for the joint modeling of survival and longitudinal data. 15, 731-744 doi:10.1093/biostatistics/kxu015. (PDF)
Bengson, JJ, Kelley, TA, Zhang, X, Wang, J-L, Mangun, GR. (2014) Spontaneous Neural Fluctuations Predict Decisions to Attend. Journal of Cognitive Neuroscience. 26, 2578-2584 (PDF)
X. Zhang and J.-L. Wang (2015). Varying-coefficient additive models for functional data. Biometrika, 102, 15-32. (PDF)
Y. Tseng, Y. Su, M. Mao and J.-L. Wang (2014). An Extended Hazard Model with Longitudinal Covariates. Biometrika, 102, 135-150. (PDF)
C. Jiang, W. Yu and J.-L. Wang (2014). Inverse regression for longitudinal data. Annals of Statistics, 42, 563-591. (PDF)
Y. Yuan, J. H. Gilmore, X. Geng, S. Martin, K. Chen, J.-L. Wang and H. Zhu (2014). Functional mixed effects modeling for analysis of longitudinal white matter tract statistics. NeuroImage, 84, 753-764. (Link)
P.-L. Chen, C.-W. Yang, Y.-K Tseng, W.-Z. Sun, J.-L. Wang, S.-J. Wang, Y.-J. Oyang, and J.-L. Fuh (2014). Increased risk of dementia after anesthesia and surgery. British Journal of Psychiatry, 204, 188-193. (PDF)
X. Zhang, B. U. Park and J.-L. Wang (2013). Time-varying additive models for
longitudinal data. J. American Statistical Association, 108, 983-998. (PDF)
F. Hsieh, J.-M. Ding and
J.-L. Wang (2013). Method of Sieves in Joint Modelling. Statistica Sinica, 23, 1181-1213. (PDF)
Y.-R. Su and J.-L. Wang (2012). Modeling
left-truncated and right-censored survival data with longitudinal
covariates. Annals of Statistics, 40,
1465-1488.
(Link)
J.-F. Wu, Y.-R. Su, C.-H. Chen, Y.-H. Ni,
H.-L. Chen, H.-Y. Hsu, J.-L.Wang, M.-H. Chang (2012). Predictive effect of
serial serum alanine aminotransferase levels on spontaneous Hepatitis B
virus antigen seroconversion. J. Pediatric Gastroenterology and
Nutrition, 54, 97-100. (NIHMS385481)
(Link)
L. Bali, G, Boente, D.
Tyler and J.-L. Wang (2011). Robust functional principal components.
Annals of Statistics, 39,
2852-2882.
(Link)
K. Chen, K. Chen,
H.-G.Mller and J.-L. Wang (2011). Stringing high
dimensional data for functional prediction. J. American Statistical Association, 106, 275-284.
(PDF)
(Supplement)
C. Jiang and J.-L. Wang
(2011). Functional single index models for longitudinal data. Annals
of Statistics, 39, 362-388.
(Link)
M. Mao and J.-L. Wang (2010).
Semiparametric Efficient Estimation for a Class of Generalized Proportional Odds Cure Models.
J. American Statistical Association, 105, 302-311.
(NIHMS385495) (Link)
K. Chen, S. Guo, L. Sun and J.-L. Wang
(2010). Global partial likelihood for nonparametric proportional hazards
models. J. American Statistical Association, 105,
750-760. (NIHMS3854) (Link)
J.-L. Wang, L. Xue, L.
Zhu and J. S. Chong (2010). Estimation for a partial-linear single index
model. Annals of Statistics
38,
246-274.
(PDF)
C.-R. Jiang and J.-L. Wang (2010). Covariate adjusted functional principal components analysis for longitudinal data. Annals of Statistics, 38, 1194-1226.
(Link)
K. Chen and J.-L. Wang
(2010). Identifying differentially expressed genes for time-course
microarray data through functional data analysis. Statistics in
Biosciences, 2, 95-119.
(Link)
P.-F. Duyck, N. K., N. T. Papadopoulos, S.
Quilici, J.-L. Wang, C. Jiang, H.-G. Mller and J. R. Carey (2010).
Lifespan of a Ceratitis fruit fly increases
with higher altitude. Biological J. Linnean
Society, 101, 345-350.
(PMC2971552)
(PDF)
G. He, H.-G. Mller, J.-L. Wang and W. Yang
(2010). Functional linear regression via canonical analysis.
Bernoulli, 16, 705-729.
(PDF)
C. Jiang, J.
Aston and J.-L. Wang (2009). Smoothing dynamic positron emission tomography
time courses using functional principal components. NeuroImage,
47, 184-193. (Link)
S. Zou, J. R. Carey,
P. Liedo, D. K. Ingram, H.-G. Mller, J.-L. Wang,F. Yao, B. Yu
(2009). The prolongevity effect of resveratrol depends on dietary
composition and calorie intake in a Tephritid Fruit Fly. Experimental
Gerontology, 44, 541-545. (PMC3044489)
(PDF)
F. Molleman, J. Ding, J. R. Carey, and J.-L.
Wang (2008). Nutrients in fruit increase fertility in wild-caught females
of large and long-lived Euphaedra species (Lepidoptera, Nymphalidae).
Journal Insect Physiology, 55, 375-383. (NIHMS385501)
(PDF)
J. R. Carey, L. Harshman, P. Liedo, H.-G.
Mller, J.-L. Wang , and Z. Zhang (2008).
Longevity-Fertility Trade-offs in the Tephritid Fruit Fly, Anastrepha
ludens, across Dietary-restriction Gradients. Aging Cell,
7, 470-477. (PMC2574784) (PDF)
J. R. Carey, N. T. Papadopoulos, H.-G.
Mller, B. I. Katsoyannos, N. A. Kouloussis, J.-L. WanK. Wachter, W. Yu,
and P. Liedo (2008). Age structure changes and extraordinary lifespan in
wild medfly populations. Aging Cell, 7, 426-437.
(PMC2398686) (Link)
W. Stute and J.L. Wang (2008). The central limit theorem under random truncation. Bernoulli , 14,
604-622. (Link)
(PDF)
J. Ding and J.L. Wang (2008). Modeling Longitudinal Data with Nonparametric Multiplicative Random Effects Jointly
with Survival Data. Biometrics , 64, 546-556.
(Link)
J. R. Carey, N. T. Papadopoulos, H.-G. Mller, B. I. Katsoyannos , N. A. Kouloussis, J.-L. Wang, K. Wachter, W.
Yu, and P. Liedo (2008). Age structure changes and extraordinary lifespan in wild medfly populations, Aging Cell, 7, 426-437. (Link)
R. B. Huey, R. Salisbury, J.-L. Wang, and M. Mao (2007).
Effects of age and gender on success and death of mountaineers on Mount Everest.
Biological Letters of the Royal Society , 498-500 (Link) (view review of this paper in Faculty 1000 Biology)
H.G. Mller and J.L. Wang (2007). Density and Hazard rate
estimation with application to reliability. Encyclopedia of Statistics in Quality and Reliability, Ed.
Ruggeri, F., Kenett, R., Faltin, F. W., John Wiley & Sons, Chichester,
517-522.
(PDF)
H.G. Mller, J.L. Wang, W. Yu, A. Delaigle, and J. R. Carey (2007). Survival and Aging in the Wild via
Residual
Demography. Journal of Theoretical Biology 72, 513-522. (Link)
F. Hsieh, Y.K. Tseng and J.L. Wang (2006).
Joint modeling of survival and longitudinal data: likelihood approach revisited.
Biometrics , 62, 1037-1043. (Link)
P. Hall, H.G. Mller and J.L. Wang (2006).
Properties of principal component methods for functional and
longitudinal data analysis. The Annals of Statistics, 34:3, 1493-1517.
(Link)
Y. S. Chong, J.-L. Wang and L. Zhu (2006). Semi-linear index model
when linear covariates and indices are independent. Advances in
Statistical Modeling and Inference: Essays in Honor of Kjell A. Doksum
Editor: V. Nair. World Scientific
(PDF)
F.Yao, H.G. Mller and J.L. Wang (2005).
Functional linear regression analysis for
longitudinal data. Annals of Statistics, 33, 2873-2903.
(Link)
J.R. Carey, P. Liedo, H.G. Mller, J.L.
Wang, D. Senturk, L. Harshman (2005). Biodemorgraphy of a
Long-lived Tephritid: Reproduction and Longevity in a Large
Cohort of Female Mexican Fruit Flies, Anastrepha ludens.
Experimental Gerontology, 40, 793-800. (Link)
Y.K. Tseng, F. Hsieh and J.-L. Wang (2005). Joint
modeling of accelerated failure time and longitudinal data.
Biometrika, 92, 587-603. (PDF)
F. Yao, H.-G. Mller and J.-L. Wang (2005). Functional
data analysis for sparse longitudinal data. Journal of
the American Statistical Association, 100, 577-590. (PDF)
J.R. Carey, P. Liedo, H.-G. Mller, J.-L. Wang, Y. Zhang,
L. Harshman (2005). Stochastic dietary restriction:
Markov-chain feeding protocol elicits complex life history
response in medflies. Aging Cell, 4, 31-39. (Link)
J.-L. Wang (2005). Smoothing hazard rate. Encyclopedia of
Biostatistics, 2nd Edition, Vol 7, 4986-4997. (PDF)
J.-L. Wang (2005). Nonparametric regression analysis of
longitudinal data. Invited Entry for Encyclopedia of
Biostatistics, 2nd Edition. (PDF)
H.-G. Mller, J.-L. Wang, J.R. Carey, E.Pl Caswell-Chen,
C. Chen, N. Papadopoulos, F. Yao (2004). Demographic window
to aging in the wild: Constructing life tables and
estimating survival functions from marked individuals of
unknown age. Aging cell, 3, 125-131. (Link)
J.-M. Chiou, H.-G. Mller and J.-L. Wang (2004).
Functional Response Models. Statistica Sinica, 14,
675-694. (Link)
(Data)
G. He, H.G. Mller and J.L. Wang (2004). Methods of
canonical analysis for functional data. Journal of
Statistical Planning and Inference, Vol 122, 141-159.
Special Issue on Contemporary Data Analysis to honor John
Tukey. (Link)
J.M. Chiou, H.G. Mller, J.L. Wang and J.R. Carey (2003).
A functional multiplicative effects model for longitudinal
data, with application to reproductive histories of female
medflies. Statistica Sinica, 13, 1119-1133. (Link)
(Data)
J.M. Chiou, H.G. Mller and J.L. Wang (2003). Functional
quasi-likelihood regression models with smooth random
effects. JRS Series B., 65, 405-423. (Paper)
(Data)
G. He, H.G. Mller and J.L. Wang (2003). Functional
canonical analysis for square integrable stochastic
processes. Journal of Multivariate Analysis, 85,
54-77. (Link)
H.G. Mller, J.M. Chiou, J.R. Carey and J.L. Wang (2002).
Fertility and lifespan: Late children enhance female
longevity. Journal of Gerontology, 57A, B202-B206.
(Link)
J.R. Carey, P. Liedo, L. Harshman, Y. Zhang, H.G. Mller,
L. Partridge and J.L. Wang (2002). A mortality cost of
virginity at older ages in female Mediterranean fruit flies.
Experimental Gerontology, 37, 507-512. (Link)
J. Dubin, H.G. Mller and J.L. Wang (2001). Event history
graphs for censored survival data. Statistics in
Medicine, 20, 2951-2964. (Link)
J.L. Wang and W. Wang (2001). Discussion on
"Semiparametric and nonparametric regression analysis of
longitudinal data" by D. Lin and Z. Ying, JASA 96,
119-123. (Link)
Q. Wang and J.L. Wang (2001). Inference for the mean
difference in the two-sample random censorship
model.Journal of Multivariate Analysis, 79, 295-315.
(Link)
J.R. Carey, P. Liedo, H.G. Mller, J.L. Wang and J.M.
Chiou (1999). Mortality oscillations induced by periodic
starvation alter sex-mortality differentials in
Mediterranean fruit flies.J. Gerontology: Biological
Sciences 54A, B424-B431. (Link)
C.H. Chen, K.C. Li and J.L. Wang (1999). Dimension
reduction for censored regression data. Annals of
Statistics 27, 1-23.(PDF)
J.L. Wang (1999). Asymptotic properties of M-estimators
based on estimating equations and censored data.
Scandinavian Journal of Statistics 26, 297-318. (Link)
J.R. Carey, P. Liedo, H.G. Mller, J.L. Wang and J.W.
Vaupel (1998). Dual modes of aging in Mediterranean fruit fly females. Science 281, 996-998. (Link)
H.G. Mller and J.L. Wang (1998). Statistical tools for
the analysis of nutrition effects on the survival of
cohorts, In Mathematical Modeling in Experimental Nutrition.
Ed. A. Clifford and H.G. Mller, Advances in Experimental
Medicine and Biology 445, 191-203, Plenum Press: New
York. (Refereed) (Data)
J.L. Wang, H.G. Mller and W.B. Capra (1998). Analysis of
oldest-old mortality: Lifetables revisited. Annals of
Statistics 26, 126-163. (PDF)
(Data)
J.R. Carey, P. Liedo, H.G. Mller, J.L. Wang, and J.M.
Chiou (1998). Relationship of age patterns of fecundity to
mortality, longevity, and lifetime reproduction in a large
cohort of Mediterranean fruit fly females. J.
Gerontology: Biological Sciences 53A, B245-B251. (Paper)
(Data)
J.R. Carey, P. Liedo, H.G. Mller, J.L. Wang and J.
Vaupel (1998). A simple graphical technique for displaying
individual fertility data and cohort survival: Case study of
1,000 Mediterranean fruit y females. Functional
Ecology 12, 359-363. (Link)
H.-G. Mueller, J.-L. Wang and W.B. Capra (1997), From
lifetables to hazard rates: The transformation approach.
Biometrika 84: 881-892. (Link)
(Data)
H.-G. Mueller, J.-L. Wang, W.B. Capra, P. Liedo and J.R.
Carey (1997), Early mortality surge in protein-deprived
females causes reversal of male-female life expectancy
relation in Mediterranean fruit flies. Proceedings of the
National Academy of Sciences 94: 2762-2765. (Link) (Data)
J.-L. Wang (1995), M-estimators for censored data: Strong
consistency. Scandinavian Journal of Statistics 22:
197-206. (Link)
H.G. Mller, J.L. Wang (1994). Change-point models for
hazard functions. Change-point Problems, IMS Lecture
Notes and Monograph Series 23, 224-241. (Link)
J.-L. Wang, H.-G. Mueller, W.B. Capra, and J.R. Carey
(1994), Rates of mortality in populations of Caenorhabditis
elegans . Science 266: 828-829. (Link)
W. Stute and J.-L. Wang (1994), The jacknife estimate of
a Kaplan-Meier integral. Biometrika 81: 602-606. (Link)
H.G. Mller, J.L. Wang (1994). Hazard rate estimation
under random censoring with varying kernels and bandwidths.
Biometrics 50, 61-76. (Link)
W. Stute, J.L. Wang (1993). Multi-Sample U-Statistics for
censored data. Scandinavian J. Statistics 20,
369-374. (Link)
I. Gijbels, J.L. Wang (1993). Strong representations of
the survival function estimator for truncated and censored
data with applications. J. Multivariate Analysis 47,
210-229. (Link)
W. Stute and J.-L. Wang (1993), A strong law under random
censhorship. Annals of Statistics 21: 1591-1607. (Link)
H. Mukerjee, J.L. Wang (1993). Nonparametric maximum
likelihood estimation of an increasing hazard rate for
uncertain cause-of-death data. Scandinavian J. Statistics
20, 17-34. (Link)
U. Uzunogullari, and J.-L. Wang (1992), A comparison of
adaptive hazard rate estimators for left truncated and right
censored data. Biometrika 79: 297-310. (Link)
H.G. Mller, J.L. Wang (1990). Locally adaptive hazard
smoothing. Probability Theory and Related Fields 85,
523-538. (Link)
H.G. Mller, J.L. Wang (1990). Nonparametric analysis of
changes in hazard rates for censored survival data: An
alternative to change-point models. Biometrika 77,
305-314. (Link)
J.L. Wang , T.P. Hettmansperger (1990). Two-sample
inference for median survival times based on one-sample
procedures for censored survival data. J. American
Statistical Association 85, 529-536. (Link) J.L. Gastwirth, T. Nayak, J.L. Wang (1989). Statistical
properties of measures of interdistributional income
inequality. J. Econometrics 42, 5-19. (Link) S.H. Lo, Y.P. Mack, J.L. Wang (1989). Density and hazard
rate estimation for censored data via strong representation
of the Kaplan-Meier estimator. Probability Theory and
Related Fields 80, 461-473. (Link)
S.H. Lo, J.L. Wang (1989). I.I.D. representations for the
bivariate product limit estimators and the bootstrap
versions. J. Multivariate Analysis 28, 211-226. (Link)
J.L. Wang (1987). Estimating IFRA and NBU survival curves
based on censored data. Scandinavian J. Statistics
14, 199-210. (Link)
J.L. Wang (1986). Asymptotically minimax estimators for
distributions with increasing failure rate. Annals of
Statistics 14, 1113-1131. (Link)
J.L. Wang (1985). Strong consistency of approximate
maximum likelihood estimators with applications in
nonparametrics. Annals of Statistics 13, 932-946. (Link)
MANUSCRIPTS
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