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Publications by Nancy E. Heckman

2021

Sidrow E, Heckman N, Fortune SME, Trites A, Murphy I, Auger-Méthé M. Modelling multi-scale, state-switching functional data with hidden Markov models. Canadian Journal of Statistics. 2021; 50(1).

2019

Fu E, Heckman N. Model-based curve registration via stochastic approximation EM algorithm. Computational Statistics and Data Analysis [Internet]. 2019; 131. URL: https://arxiv.org/abs/1712.07265

2018

Gomulkiewicz R, Kingsolver J, Carter P, Heckman N. Variation and evolution of function-valued traits. Annual Review of Ecology, Evolution, and Systematics. 2018; 49(1).

2017

Lee W, Greenwood P, Heckman N, Wefelmeyer W. Pre-averaged kernel estimators for the drift function of a diffusion process in the presence of microstructure noise. Statistical Inference for Stochastic Processes. 2017; 20(2).
Lenzi A, de Souza CPE, Dias R, Garcia NL, Heckman NE. Analysis of Aggregated Functional Data from Mixed Populations with Application to Energy Consumption. Environmetrics. 2017; 28(2).
de Souza CPE, Heckman NE, Xu F. Switching nonparametric regression models for multi-curve data. Canadian Journal of Statistics [Internet]. 2017; 45: 442–460. DOI: 10.1002/cjs.11331 URL: http://dx.doi.org/10.1002/cjs.11331

2016

Rennison DJ, Owens GL, Heckman N, Schluter D, Veen T. Rapid adaptive evolution of colour vision in the threespine stickleback radiation. Proceedings of the Royal Society of London B: Biological Sciences [Internet]. 2016; 283. DOI: 10.1098/rspb.2016.0242 URL: http://rspb.royalsocietypublishing.org/content/283/1830/20160242

2015

Lei E, Yao F, Heckman N, Meyer K. Functional Data Model for Genetically Related Individuals With Application to Cow Growth. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. 732 N WASHINGTON ST, ALEXANDRIA, VA 22314-1943 USA: AMER STATISTICAL ASSOC; 2015; 24: 756-770. DOI: 10.1080/10618600.2014.948180
Kingsolver JG, Heckman N, Zhang J, Carter PA, Knies JL, Stinchcombe JR, et al. Genetic Variation, Simplicity, and Evolutionary Constraints for Function-Valued Traits. AMERICAN NATURALIST. 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA: UNIV CHICAGO PRESS; 2015; 185: E166-E181. DOI: 10.1086/681083

2014

Zhang J, Heckman N, Cubranic D, Kingsolver JG, Gaydos T, Marron JS. Prinsimp. R JOURNAL. WIRTSCHAFTSUNIVERSITAT, INST STATISTICS & MATHEMATICS, AUGASSE 2-6, WIEN, 1090, AUSTRIA: R FOUNDATION STATISTICAL COMPUTING; 2014; 6: 27-42.
de Souza CPE, Heckman NE. Switching nonparametric regression models. JOURNAL OF NONPARAMETRIC STATISTICS. 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND: TAYLOR & FRANCIS LTD; 2014; 26: 617-637. DOI: 10.1080/10485252.2014.941364
Bonner SJ, Newlands NK, Heckman NE. Modeling regional impacts of climate teleconnections using functional data analysis. ENVIRONMENTAL AND ECOLOGICAL STATISTICS. VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS: SPRINGER; 2014; 21: 1-26. DOI: 10.1007/s10651-013-0241-8
Dean CB, Heckman N, Reid N. Practical Suggestions for Developing as an Academic Leader. In Leadership and Women in Statistics. Chapman and Hall; 2014.

2013

Gaydos TL, Heckman NE, Kirkpatrick M, Stinchcombe JR, Schmitt J, Kingsolver J, et al. VISUALIZING GENETIC CONSTRAINTS. ANNALS OF APPLIED STATISTICS. 3163 SOMERSET DR, CLEVELAND, OH 44122 USA: INST MATHEMATICAL STATISTICS; 2013; 7: 860-882. DOI: 10.1214/12-AOAS603
Heckman N, Lockhart R, Nielsen JD. Penalized regression, mixed effects models and appropriate modelling. ELECTRONIC JOURNAL OF STATISTICS. 3163 SOMERSET DR, CLEVELAND, OH 44122 USA: INST MATHEMATICAL STATISTICS; 2013; 7: 1517-1552. DOI: 10.1214/13-EJS809

2012

Heckman N. The theory and application of penalized methods or Reproducing Kernel Hilbert Spaces made easy. Statist. Surv. [Internet]. The American Statistical Association, the Bernoulli Society, the Institute of Mathematical Statistics, and the Statistical Society of Canada; 2012; 6: 113–141. DOI: 10.1214/12-SS101 URL: http://dx.doi.org/10.1214/12-SS101
Stinchcombe JR, Kirkpatrick M, Beder J, Carter PA, Gilchrist GW, Gervini D, et al. Genetics and evolution of function-valued traits: understanding environmentally responsive phenotypes. Trends Ecol. Evol. (Amst.). 2012; 27: 637–647.

2008

Griswold CK, Gomulkiewicz R, Heckman N. Hypothesis testing in comparative and experimental studies of function-valued traits. EVOLUTION. 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND: BLACKWELL PUBLISHING; 2008; 62: 1229-1242. DOI: 10.1111/j.1558-5646.2008.00340.x

2007

Ghement IR, Heckman NE, A. Petkau J. Seasonal confounding and residual correlation in analyses of health effects of air pollution. ENVIRONMETRICS. THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND: JOHN WILEY & SONS LTD; 2007; 18: 375-394. DOI: 10.1002/env.814

2004

Gijbels I, Heckman N. Nonparametric testing for a monotone hazard function via normalized spacings. JOURNAL OF NONPARAMETRIC STATISTICS. 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND: TAYLOR & FRANCIS LTD; 2004; 16: 463-477. DOI: 10.1080/10485250310001622668

2003

Li XC, Heckman NE. Local linear extrapolation. JOURNAL OF NONPARAMETRIC STATISTICS. 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND: TAYLOR & FRANCIS LTD; 2003; 15: 565-578. DOI: 10.1080/10485250310001605432
Heckman NE. Functional data analysis in evolutionary biology. In: Akritas MG, Politis DN. RECENT ADVANCES AND TRENDS IN NONPARAMETRIC STATISTICS. SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2003. pp. 49-60. DOI: 10.1016/B978-044451378-6/50004-1

2002

Hall P, Heckman NE. Estimating and depicting the structure of a distribution of random functions. BIOMETRIKA. UNIV COLLEGE LONDON GOWER ST-BIOMETRIKA OFFICE, LONDON WC1E 6BT, ENGLAND: BIOMETRIKA TRUST; 2002; 89: 145-158. DOI: 10.1093/biomet/89.1.145

2001

Harezlak J, Heckman NE. CriSP: A tool for bump hunting. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. 1429 DUKE ST, ALEXANDRIA, VA 22314 USA: AMER STATISTICAL ASSOC; 2001; 10: 713-729. DOI: 10.1198/106186001317243412

2000

Hall P, Heckman NE. Testing for monotonicity of a regression mean by calibrating for linear functions. ANNALS OF STATISTICS. IMS BUSINESS OFFICE-SUITE 7, 3401 INVESTMENT BLVD, HAYWARD, CA 94545 USA: INST MATHEMATICAL STATISTICS; 2000; 28: 20-39.
Heckman NE, Ramsay JO. Penalized regression with model-based penalties. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE. 675 DENBURY AVENUE, OTTAWA, ON K2A 2P2, CANADA: CANADIAN JOURNAL STATISTICS; 2000; 28: 241-258. DOI: 10.2307/3315976
Heckman NE, Zamar RH. Comparing the shapes of regression functions. BIOMETRIKA. UNIV COLLEGE LONDON GOWER ST-BIOMETRIKA OFFICE, LONDON, ENGLAND WC1E 6BT: BIOMETRIKA TRUST; 2000; 87: 135-144. DOI: 10.1093/biomet/87.1.135

1997

Heckman N, Rice J. Line transects of two-dimensional random fields: Estimation and design. Canadian Journal of Statistics. Wiley Online Library; 1997; 25: 481–501.

1996

Heckman NE, Li B. Nonparametric tests for bounds on the derivative of a regression function. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS. SPUIBOULEVARD 50, PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS: KLUWER ACADEMIC PUBL; 1996; 48: 315-336. DOI: 10.1007/BF00054793

1995

Fan J, Heckman NE, Wand MP. Local polynomial kernel regression for generalized linear models and quasi-likelihood functions. Journal of the American Statistical Association. Taylor & Francis Group; 1995; 90: 141–150.

1993

Price T, Schluter D, Heckman NE. Sexual selection when the female directly benefits. Biological Journal of the Linnean Society. Wiley Online Library; 1993; 48: 187–211.

1992

Gu C, Heckman N, Wahba G. A note on generalized cross-validation with replicates. Statistics & probability letters. Elsevier; 1992; 14: 283–287.
Heckman NE. Bump hunting in regression analysis. Statistics & probability letters. Elsevier; 1992; 14: 141–152.

1991

Heckman NE. Minimax Bayes Estimation, Penalized Likelihood Methods, and Restricted Minimax Estimation. In Nonparametric Functional Estimation and Related Topics. Springer; 1991. pp. 339–346.
Heckman NE, Woodroofe M. Minimax Bayes estimation in nonparametric regression. The Annals of Statistics. JSTOR; 1991;: 2003–2014.

1989

KIRKPATRICK M, Heckman N. A QUANTITATIVE GENETIC MODEL FOR GROWTH, SHAPE, REACTION NORMS, AND OTHER INFINITE-DIMENSIONAL CHARACTERS. JOURNAL OF MATHEMATICAL BIOLOGY. 175 FIFTH AVE, NEW YORK, NY 10010: SPRINGER VERLAG; 1989; 27: 429-450. DOI: 10.1007/BF00290638

1988

Heckman NE. MINIMAX ESTIMATES IN A SEMIPARAMETRIC MODEL. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 1429 DUKE ST, ALEXANDRIA, VA 22314: AMER STATISTICAL ASSOC; 1988; 83: 1090-1096. DOI: 10.2307/2290141

1987

Heckman NE. ROBUST DESIGN IN A 2 TREATMENT COMPARISON IN THE PRESENCE OF A COVARIATE. JOURNAL OF STATISTICAL PLANNING AND INFERENCE. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 1987; 16: 75-81. DOI: 10.1016/0378-3758(87)90057-7

1986

Heckman NE. SPLINE SMOOTHING IN A PARTLY LINEAR-MODEL. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL. 108 COWLEY RD, OXFORD, OXON, ENGLAND OX4 1JF: BLACKWELL PUBL LTD; 1986; 48: 244-248.
Heckman NE. REPEATED SIGNIFICANCE TESTS WITH BIASED COIN ALLOCATION SCHEMES. PROBABILITY THEORY AND RELATED FIELDS. 175 FIFTH AVE, NEW YORK, NY 10010: SPRINGER VERLAG; 1986; 73: 627-635. DOI: 10.1007/BF00324857

1985

Heckman NE. A LOCAL LIMIT-THEOREM FOR A BIASED COIN DESIGN FOR SEQUENTIAL-TESTS. ANNALS OF STATISTICS. IMS BUSINESS OFFICE-SUITE 6 3401 INVESTMENT BLVD, HAYWARD, CA 94545: INST MATHEMATICAL STATISTICS; 1985; 13: 785-788. DOI: 10.1214/aos/1176349555
Heckman NE. A SEQUENTIAL PROBABILITY RATIO TEST USING A BIASED COIN DESIGN. ANNALS OF STATISTICS. IMS BUSINESS OFFICE-SUITE 6 3401 INVESTMENT BLVD, HAYWARD, CA 94545: INST MATHEMATICAL STATISTICS; 1985; 13: 789-794. DOI: 10.1214/aos/1176349556
Lee W, Greenwood PE, Heckman N, Wefelmeyer W. Pre-averaged kernel estimators for the drift function of a diffusion process in the presence of microstructure noise.