Applications of functional data analysis: A systematic review

BMC Medical Research Methodology

Volumn 13, Issue 1, 2013, Pages

  Ullah, Shahid ^a   Finch, Caroline F ^b  

^a FLINDERS UNIVERSITY   (Australia)

^b UNIVERSITY OF BALLARAT   (Australia)

Author keywords

Clustering; Forecasting; Functional data analysis; Functional linear model; Functional principal component analysis; Smoothing; Time series data

Indexed keywords

HUMAN; OUTCOME ASSESSMENT; REVIEW; STATISTICS; TASK PERFORMANCE;

HUMANS; OUTCOME ASSESSMENT (HEALTH CARE); STATISTICS AS TOPIC; TIME AND MOTION STUDIES;

MLCS; MLOWN;

EID: 84875035320     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-13-43     Document Type: Review

References (134)

1. Green PJ, Silverman BW, Nonparametric regression and generalized linear models: A roughness penalty approach London: Chapman and Hall 1994
2. When the data are functions? Ramsay JO, Psychometrika 1982 47 379 396 10.1007/BF02293704
3. Monotone regression splines in action. Ramsay JO, Statist Sci 1988 3 425 441 10.1214/ss/1177012761
4. Some tools for functional data analysis. Ramsay JO, Dalzell CJ, J R Stat Soc Series B Stat Methodol 1991 53 539 572
5. Müller HG, Functional data analysis StatProb: The Encyclopedia Sponsored by Statistics and Probability Societies 2011
6. Advances in nonparametric regression for functional variables. Ferraty F, Mas A, Vieu P, Aust N Z J Stat 2007 49 1 20
7. Functional linear regression with derivatives. Mas A, Pumo B, J Nonparametr Stat 2009 21 19 40 10.1080/10485250802401046
8. Introduction to functional data analysis. Levitin DJ, Nuzzo RL, Vines BW, Ramsay JO, Can Psychol 2007 48 135 155
9. Ramsay JO, Silverman BW, Functional data analysis New York: Springer 2 2005
10. Ramsay JO, Silverman BW, Applied functional data analysis New York: Springer 2002
11. Robust principal component analysis for functional data. Locantore N, Marron JS, Simpson DG, Tripoli N, Zhang JT, Kohen KL, TEST 1999 8 1 73 10.1007/BF02595862
12. Yushkevich P, Pizer SM, Joshi S, Maron JS, Intuitive, localized analysis of shape variability Proceedings of the Inf Process Med Imaging. 2001, 2082/2001 402 408
13. Autoregressive forecasting of some functional climate variations. Besse PC, Cardot H, Scand Stat Theory Appl 2000 27 673 687
14. Functional components of variation in handwriting. Ramsay JO, J Am Stat Assoc 2000 95 9 15 10.1080/01621459.2000.10473894
15. Unsupervised curve clustering using B-splines. Abraham C, Cornillon PA, MatznerLober E, Molinari N, Scand Stat Theory Appl 2003 30 581 595
16. Statistical modelling of functional data. Besse PC, Cardot H, Faivre R, Goulard M, Appl Stoch Model Bus Ind 2005 21 165 173 10.1002/asmb.539
17. Two approaches to mutation detection based on functional data. Pfeiffer RM, Bura E, Smith A, Rutter JL, Stat Med 2002 21 3447 3464 10.1002/sim.1269 12407683
18. Functional data analysis with application to periodically stimulated foetal heart rate data. II: functional logistic regression. Ratcliffe SJ, Heller GZ, Leader LR, Stat Med 2002 21 1115 1127 10.1002/sim.1068 11933037
19. Functional data analysis with application to periodically stimulated foetal heart rate data. I: functional regression. Ratcliffe SJ, Leader LR, Heller GZ, Stat Med 2002 21 1103 1114 10.1002/sim.1067 11933036
20. Nonparametric item response function estimates with the EM algorithm. Rossi N, Wang X, Ramsay JO, J Educ Behav Stat 2002 27 291 317 10.3102/10769986027003291
21. Curve forecasting by functional autoregression. Kargin V, Onatski A, J Multivar Anal 2008 99 2508 2526 10.1016/j.jmva.2008.03.001
22. Functional principal component regression and functional partial least squares. Reiss PT, Ogden RT, J Am Stat Assoc 2007 102 984 996 10.1198/016214507000000527
23. Functional data modelling approach for analysing and predicting trends in incidence rates-An application to falls injury. Ullah S, Finch CF, Osteoporos Int 2010 21 2125 2134 10.1007/s00198-010-1189-2 20204597
24. Forecasting age-specific breast cancer mortality using functional data models. Erbas B, Hyndman RJ, Gertig DM, Stat Med 2007 26 458 470 10.1002/sim.2306 16217849
25. Robust forecasting of mortality and fertility rates: a functional data approach. Hyndman RJ, Ullah MS, Comput Stat Data Anal 2007 51 4942 4956 10.1016/j.csda.2006.07.028
26. Functional and longitudinal data analysis: perspectives on smoothing. Rice JA, Statist Sci 2004 14 631 647
27. Introduction: emerging issues in longitudinal and functional data analysis. Davidian M, Lin X, Wang JL, Statist Sci 2004 14 613 614
28. Ullah S, Demographic forecasting using functional data analysis Monash University: PhD Thesis 2007
29. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group, PLoS Med 2009 6 1000097 10.1371/journal.pmed.1000097 19621072
30. Brain activation measured using functional magnetic resonance imaging during the Tower of London task. Rasmussen IJ, Antonsen IK, Berntsen EM, Xu J, Lagopoulos J, Haberg AK, Acta Neuropsychiatr 2006 18 216 225 10.1111/j.1601-5215.2006.00145.x
31. Functional performance testing in participants with functional ankle instability and in a healthy control group. Buchanan AS, Docherty CL, Schrader J, J Athl Train 2008 43 342 346 10.4085/1062-6050-43.4.342 18668180
32. The relationship between neurocognitive function and noncontact anterior cruciate ligament injuries. Swanik CB, Covassin T, Stearne DJ, Schatz P, Am J Sports Med 2007 35 943 948 10.1177/0363546507299532 17369562
33. Portmanteau test of independence for functional observations. Gabrys R, Kokoszka P, J Am Stat Assoc 2007 102 1338 1348 10.1198/016214507000001111
34. Statistics for functional data. Manteiga WG, Vieu P, Comput Stat Data Anal 2007 51 4788 4792 10.1016/j.csda.2006.10.017
35. Testing hypotheses in the functional linear model. Cardot H, Ferraty F, Mas A, Sarda P, Scand Stat Theory Appl 2003 30 241 255
36. Comparison of functional regression and non-functional regression approaches to the study of the walking velocity effect in force platform measures. Dura JV, Belda JM, Poveda R, Page A, Laparra J, Das J, Prat J, Garcia AC, J Appl Biomech 2010 26 234 239 20498496
37. Effect of registration on cyclical kinematic data. Crane EA, Cassidy RB, Rothman ED, Gerstner GE, J Biomech 2010 43 2444 2447 10.1016/j.jbiomech.2010.04. 024 20537335
38. FRATS: Functional regression analysis of DTI tract statistics. Zhu HT, Styner M, Tang NS, Liu ZX, Lin WL, Gilmore JH, IEEE Trans Med Imaging 2010 29 1039 1049 20335089
39. Functional embedding for the classification of gene expression profiles. Wu P, Müller H, Bioinformatics 2010 26 509 517 10.1093/bioinformatics/ btp711 20053838
40. An effective clustering procedure of neuronal response profiles in graded thermal stimulation. Kim SB, Rattakorn P, Peng YB, Expert Syst Appl 2010 37 5818 5826 10.1016/j.eswa.2010.02.025
41. Rainbow plots, bagplots, and boxplots for functional Data. Hyndman RJ, Shang HL, J Comput Graph Stat 2010 19 29 45 10.1198/jcgs.2009.08158
42. Detection of outliers in gas emissions from urban areas using functional data analysis. Torres JM, Garcia Nieto PJ, Alejano L, Reyes AN, J Hazard Mater 2010 186 144 149 21112150
43. Statistical significance testing for the association of magnetometer records at high-, mid- and low latitudes during substorm days. Maslova I, Kokoszka P, Sojka J, Zhu L, Planet Space Sci 2010 58 437 445 10.1016/j.pss.2009.11.004
44. Auxology: An update. Hermanussen M, Horm Res Paediatr 2010 74 153 164 10.1159/000317440 20668369
45. Using functional data analysis models to estimate future time trends in age-specific breast cancer mortality for the United States and England-Wales. Erbas B, Akram M, Gertig DM, English D, Hopper JL, Kavanagh AM, Hyndman RJ, J Epidemiol 2010 20 159 165 10.2188/jea.JE20090072 20139657
46. Wavelet modeling of functional random effects with application to human vision data. Ogden RT, Greene E, J Stat Plan Inference 2010 140 3797 3808 10.1016/j.jspi.2010.04.044
47. Reproduction is adapted to survival characteristics across geographically isolated medfly populations. Muller HG, Wu S, Diamantidis AD, Papadopoulos NT, Carey JR, Proc Biol Sci 2009 276 4409 4416 10.1098/rspb.2009.1461 19793752
48. Simultaneous estimation of effects of gender, age and walking speed on kinematic gait data. Roislien J, Skare O, Gustavsen M, Broch NL, Rennie L, Opheim A, Gait Posture 2009 30 441 445 10.1016/j.gaitpost.2009.07.002 19665379
49. Constrained data decomposition and regression for analyzing healthy aging from fiber tract diffusion properties. Gouttard S, Prastawa M, Bullitt E, Lin W, Gerig G, Med Image Comput Comput Assist Interv 2009 12 321 328 20426003
50. Functional principal component data analysis: a new method for analysing microbial community fingerprints. Illian JB, Prosser JI, Baker KL, Rangel-Castro JL, J Microbiol Methods 2009 79 89 95 10.1016/j.mimet.2009.08.010 19706313
51. Predicting microRNA targets in time-series microarray experiments via functional data analysis. Parker BJ, Wen J, BMC Bioinforma 2009 10 32 10.1186/1471-2105-10-S1-S32
52. Group statistics of DTI fiber bundles using spatial functions of tensor measures. Goodlett CB, Fletcher PT, Gilmore GH, Gerig G, Med Image Comput Comput Assist Interv 2008 11 1068 1075 18979851
53. Smoothing dynamic positron emission tomography time courses using functional principal components. Jiang CR, Aston JA, Wang JL, NeuroImage 2009 47 184 193 10.1016/j.neuroimage.2009.03.051 19344774
54. Analyzing risk response dynamics on the web: the case of Hurricane Katrina. Lee KL, Meyer RJ, Bradlow ET, Risk Anal 2009 29 1779 1792 10.1111/j.1539-6924.2009.01304.x 19878486
55. Functional data analysis of running kinematics in chronic Achilles tendon injury. Oa D, Harrison AJ, Coffey N, Hayes K, Med Sci Sports Exerc 2008 40 1323 1335 10.1249/MSS.0b013e31816c4807 18580414
56. Bayesian hierarchical spatially correlated functional data analysis with application to colon carcinogenesis. Baladandayuthapani V, Mallick BK, Young HM, Lupton JR, Turner ND, Carroll RJ, Biometrics 2008 64 64 73 10.1111/j.1541-0420. 2007.00846.x 17608780
57. Inferring gene expression dynamics via functional regression analysis. Muller H, Chiou J, Leng X, BMC Bioinforma 2008 9 60 10.1186/1471-2105-9-60
58. Classification of gene functions using support vector machine for time-course gene expression data. Park C, Koo J, Kim S, Sohn I, Lee JW, Comput Stat Data Anal 2008 52 2578 2587 10.1016/j.csda.2007.09.002
59. Optimal classification for time-course gene expression data using functional data analysis. Song JJ, Deng W, Lee H, Kwon D, Comp Bio Chem 2008 32 6 426 432 10.1016/j.compbiolchem.2008.07.007
60. Stochastic population forecasts using functional data models for mortality, fertility and migration. Hyndman R, Booth H, Int J Forecast 2008 24 323 342 10.1016/j.ijforecast.2008.02.009
61. Application of functional data analysis to investigate seasonal progression with interannual variability in plankton abundance in the bay of Fundy, Canada. Ikeda T, Dowd M, Martin JL, Estuar Coast Shelf Sci 2008 78 445 455 10.1016/j.ecss.2007.12.011
62. Functional data analysis in longitudinal settings using smoothing splines. Guo W, Stat Methods Med Res 2004 13 49 62 10.1191/0962280204sm352ra 14746440
63. Functional data analysis for cash flow and transactions intensity continuous-time prediction using Hilbert-valued autoregressive processes. Laukaitis A, Eur J Oper Res 2008 185 1607 1614 10.1016/j.ejor.2006.08.030
64. Price formation and its dynamics in online auctions. Bapna R, Jank W, Shmueli G, Decis Support Syst 2008 44 641 656 10.1016/j.dss.2007.09.004
65. Speech production variability in fricatives of children and adults: results of functional data analysis. Koenig LL, Lucero JC, Perlman E, J Acoust Soc Am 2008 124 3158 3170 10.1121/1.2981639 19045800
66. Biomarker discovery for arsenic exposure using functional data. Analysis and feature learning of mass spectrometry proteomic data. Harezlak J, Wu MC, Wang M, Schwartzman A, Christiani DC, Lin X, J Proteome Res 2008 7 217 224 10.1021/pr070491n 18173220
67. Cross-modal interactions in the experience of musical performances: physiological correlates. Chapados C, Levitin DJ, Cognition 2008 108 639 651 10.1016/j.cognition.2008.05.008 18603233
68. Clustering of time-course gene expression data using functional data analysis. Song JJ, Lee H, Morris JS, Kang S, Comp Bio Chem 2007 31 265 274 10.1016/j.compbiolchem.2007.05.006
69. Characterizing the functional MRI response using Tikhonov regularization. Vakorin VA, Borowsky R, Sarty GE, Stat Med 2007 26 3830 3844 10.1002/sim.2981 17634970
70. On the using of modal curves for radar waveforms classification. Dabo-niang S, Vieu P, Comput Statist Data Anal 2007 51 48 78
71. Day of week effects on diurnal ozone/NOx cycles and transportation emissions in Southern California. Gao H, Transp Res Part D Transp Envr 2007 12 292 305 10.1016/j.trd.2007.03.004
72. Oscillations and time trends in stratospheric ozone levels. Meiring W, J Am Stat Assoc 2007 102 788 802 10.1198/016214506000000825
73. Characterizing daily urinary hormone profiles for women at midlife using functional data analysis. Meyer PM, Zeger SL, Harlow SD, Sowers M, Crawford S, Luborsky JL, Janssen I, McConnell DS, Randolph JF, Weiss G, Am J Epidemiol 2007 165 936 945 10.1093/aje/kwk090 17267418
74. Functional data analysis applied to a randomized controlled clinical trial in hemodialysis patients describes the variability of patient responses in the control of renal anemia. West RM, Harris K, Gilthorpe MS, Tolman C, Will EJ, J Am Soc Nephrol 2007 18 2371 2376 10.1681/ASN.2006050436 17625113
75. Functional data analysis of joint coordination in the development of vertical jump performance. Harrison A, Ryan W, Hayes K, Sports Biomech 2007 6 199 214 10.1080/14763140701323042 17892096
76. Classification using functional data analysis for temporal gene expression data. Leng X, Muller H, Bioinformatics 2006 22 68 76 10.1093/bioinformatics/bti742 16257986
77. Behavioral trajectories as predictors in event history analysis: male calling behavior forecasts medfly longevity. Zhang Y, Muller HG, Carey JR, Papadopoulos NT, Mech Ageing Dev 2006 127 680 686 10.1016/j.mad.2006.04.001 16730781
78. Functional data analysis for gait curves study in Parkinson's disease. Duhamel A, Devos P, Bourriez JL, Preda C, Defebvre L, Beuscart R, Stud Health Technol Inform 2006 124 569 574 17108578
79. Functional data analysis of knee joint kinematics in the vertical jump. Ryan W, Harrison A, Hayes K, Sports Biomech 2006 5 121 138 10.1080/14763141. 2006.9628228 16521626
80. Normalizing temporal patterns to analyze sit-to-stand movements by using registration of functional data. Page A, Ayala G, Leon MT, Peydro MF, Prat JM, J Biomech 2006 39 2526 2534 10.1016/j.jbiomech.2005.07.032 16212967
81. Exploring between site differences in water quality trends: a functional data analysis approach. Henderson B, Environmetrics 2006 17 65 80 10.1002/env.750
82. Opportunities and challenges applying functional data analysis to the study of open source software evolution. Stewart K, Darcy D, Daniel S, Stat Sci 2006 21 167 178 10.1214/088342306000000141
83. Functional data analysis of prosodic effects on articulatory timing. Lee S, Byrd D, KrivokapicÌ J, J Acoust Soc Am 2006 119 1666 1671 10.1121/1.2161436 16583910
84. Using functional data analysis to summarise and interpret lactate curves. Newell J, McMillan K, Grant S, McCabe G, Comput Biol Med 2006 36 262 275 10.1016/j.compbiomed.2004.11.006 16446160
85. Cross-modal interactions in the perception of musical performance. Vines BW, Krumhansl CL, Wanderley MM, Levitin DJ, Cognition 2006 101 80 113 10.1016/j.cognition.2005.09.003 16289067
86. Functional clustering algorithm for high-dimensional proteomics data. Bensmail H, Aruna B, Semmes OJ, Haoudi A, J Biomed Biotechno 2005 2 80 86
87. Representing cyclic human motion using functional analysis. Ormoneit D, Black MJ, Hastie T, Sidenbladh H, Image Vision Comput 2005 23 1264 1276 10.1016/j.imavis.2005.09.004
88. Functional principal component analysis of fMRI data. Viviani R, Gron G, Spitzer M, Hum Brain Mapp 2005 24 109 129 10.1002/hbm.20074 15468155
89. Nonstationary noise estimation in functional MRI. Long CJ, Brown EN, Triantafyllou C, Aharon I, Wald LL, Solo V, NeuroImage 2005 28 890 903 10.1016/j.neuroimage.2005.06.043 16129625
90. A functional data-analytic approach to the classification of species according to their spatial dispersion. Application to a marine macrobenthic community from the Bay of Morlaix (western English Channel). Manté C, Durbec JP, Dauvin JC, J Appl Stat 2005 32 831 840 10.1080/02664760500080124
91. Quantifying subpopulation differences for a lack of invariance using complex examinee profiles: an exploratory multigroup approach using functional data analysis. Rupp A, Edu Res Eval 2005 11 71 97 10.1080/13803610500110430
92. Functional data analysis for clients segmentation tasks. Laukaitis A, Eur J Oper Res 2005 163 210 216 10.1016/j.ejor.2004.01.010
93. Comparison of measures of variability of speech movement trajectories using synthetic records. Lucero JC, J Speech Lang Hear Res 2005 48 336 344 10.1044/1092-4388(2005/023) 15989396
94. Analysing temporal dynamics in music. Vines BW, Nuzzo RL, Levitin DJ, Music Percept 2005 23 137 152 10.1525/mp.2005.23.2.137
95. Investigating the impact of operating parameters on molecular weight distributions using functional regression. Hutchinson RA, McLellan PJ, Ramsay JO, Sulieman H, Bacon DW, Macromol Symp 2004 206 495 508 10.1002/masy.200450238
96. Modeling of esophageal bolus flow by functional data analysis of scintigrams. Stier AW, Stein HJ, Schwaiger M, Heidecke CD, Dis Esophagus 2004 17 51 57 10.1111/j.1442-2050.2004.00373.x 15209741
97. Measurement reproducibility in the early stages of biomarker development. Liggett WS, Barker PE, Semmes OJ, Cazares LH, Dis Markers 2004 20 295 307 15665389
98. A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume. Buckner RL, Head D, Parker J, Fotenos AF, Marcus D, Morris JC, Snyder AZ, NeuroImage 2004 23 724 738 10.1016/j.neuroimage.2004.06.018 15488422
99. Influences of large-scale form on continuous ratings in response to a contemporary piece in a live concert setting. McAdams S, Music Percept 2004 22 297 350 10.1525/mp.2004.22.2.297
100. Mixed-model functional ANOVA for studying human tactile perception. Spitzner DJ, Marron JS, Essick GK, J Am Stat Assoc 2003 98 263 272 10.1198/016214503000035
101. Shrinkage estimation for functional principal component scores with application to the population kinetics of plasma folate. Yao F, Muller HG, Clifford AJ, Dueker SR, Follett J, Lin Y, Buchholz BA, Vogel JS, Biometrics 2003 59 676 685 10.1111/1541-0420.00078 14601769
102. Functional regression in crop lodging assessment with digital images. Ogden RT, Miller CE, Takezawa K, Ninomiya S, J Agric Biol Environ Stat 2002 7 389 402 10.1198/108571102339
103. Exploratory analysis of the spatio-temporal deformation of the myocardium during systole from tagged MRI. Clarysse P, Han M, Croisille P, Magnin IE, IEEE Trans Biomed Eng 2002 49 1328 1339 10.1109/TBME.2002.804587 12450363
104. Functional data analysis of the dynamics of the monthly index of nondurable goods production. Ramsay JO, Ramsey BJ, J Econ 2002 107 327 344
105. A functional data-analytic approach to signal discrimination. Hall P, Poskitt D, Presnell B, Technometrics 2001 43 1 24 10.1198/00401700152404273
106. Time normalization of voice signals using functional data analysis. Lucero JC, Koenig LL, J Acoust Soc Am 2000 108 1408 1420 10.1121/1.1289206 11051467
107. Autoregressive forecasting of some functional climatic variations. Besse PC, Cardot H, Stephenson DB, Scand Stat Theory Appl 2000 27 673 687
108. Computation of the harmonics-to-noise ratio of a voice signal using a functional data analysis algorithm. Lucero JC, J Sound Vibrat 1999 222 512 520 10.1006/jsvi.1998.2072
109. Mapping the regional transition to cyclicity in clethrionomys rufocanus: spectral densities and functional data analysis. Bjornstad O, Chr SN, Saitoh T, Lingjaerde OC, Res Pop Ecol 1998 40 77 84 10.1007/BF02765223
110. Functional data analyses of lip motion. Ramsay JO, Munhall KG, Gracco VL, Ostry DJ, J Acoust Soc Am 1996 99 3718 3727 10.1121/1.414986 8655803
111. A functional data analysis of the pinch force of human fingers. Ramsay JO, Wang X, App Stat 1995 44 17 30 10.2307/2986192
112. Modeling the labeling index distribution: An application of functional data analysis. Grambsch PM, Randall BL, Bostick RM, Potter JD, Louis TA, J Am Stat Assoc 1995 90 813 821 10.1080/01621459.1995.10476579
113. Eubank RL, Nonparametric regression and spline smoothing New York: Marcel Dekker 1999
114. Direct generalized additive modeling with penalized likelihood. Marx BD, Eilers PHC, Comput Stat Data Anal 1998 28 193 209 10.1016/S0167-9473(98)00033-4
115. Modelling and smoothing parameter estimation with multiple quadratic penalties. Wood SN, J R Stat Soc Series B Stat Methodol 2000 62 413 428 10.1111/1467-9868.00240
116. Using functional data analysis of diurnal ozone and NOx cycles to inform transportation emissions control. Gao H, Niemeier D, Transp Res Part D Transp Envr 2008 13 221 238 10.1016/j.trd.2008.02.003
117. Ruppert D, Wand MP, Carroll RJ, Semiparametric regression Cambridge: New York 2003
118. Simonoff JS, Smoothing methods in statistics New York: Springer 1996
119. High breakdown estimators for principal components: The project-pursuit approach revisited. Croux C, RuizGazen A, J Multivar Anal 2005 95 206 226 10.1016/j.jmva.2004.08.002
120. Ferraty F, Vieu P, Nonparametric functional data analysis New York: Springer 2006
121. Inference for density families using functional principal component analysis. Kneip A, Utikal KJ, J Am Stat Assoc 2001 94 519 533
122. Principal component models for sparse functional data. James GM, Hastie TJ, Sugar CA, Biometrika 2001 87 587 602
123. Nonparametric clustering of functional data. Wang H, Neill J, Miller F, Stat Interface 2008 1 47 62
124. Comparison of discrimination methods for the classification of tumors using gene expression data. Dudoit S, Fridlyand J, Speed TP, J Am Stat Assoc 2002 97 77 87 10.1198/016214502753479248
125. An extensive comparison of recent classification tools applied to microarray data. Lee JW, Lee JB, Park M, Song SH, Comput Statist Data Anal 2005 48 869 885 10.1016/j.csda.2004.03.017
126. A K-nearest neighbor classification rule based on Dempster-Shafer theory. Denoeux T, IEEE Trans Syst Man Cybernet 1995 25 804 813 10.1109/21.376493
127. A fuzzy k-nearest neighbours algorithm. Keller JM, Gray MR, Givens JA, IEEE Trans. Syst. ManCybern 1985 15 580 585
128. Support-vector networks. Cortes C, Vapnik V, Mach Learn 1995 20 273 297
129. Model-based clustering, discriminant analysis, and density estimation. Fraley C, Raftery AE, J Am Stat Assoc 2002 97 611 631 10.1198/016214502760047131
130. A state space framework for automatic forecasting using exponential smoothing methods. Hyndman RJ, Koehler AB, Snyder RD, Grose S, Int J Forecast 2002 18 439 454 10.1016/S0169-2070(01)00110-8
131. Santen G, van Zwet E, Danhof M, Pasqua OD, Heterogeneity in patient response in depression: The relevance of functional data analysis Universiteit Leiden, Netherland: PhD Thesis 2008
132. Governmental health agencies need to assume leadership in injury prevention. Finch CF, Hayen A, Inj Prev 2006 12 2 3 10.1136/ip.2005.010587 16461410
133. Modeling and forecasting U.S. mortality. Lee RD, Carter LR, J Am Stat Assoc 1992 87 659 675
134. Evaluating the performance of the Lee-Carter method for forecasting mortality. Lee RD, Miller T, Demography 2001 38 537 549 10.1353/dem.2001.0036 11723950