-
1
-
-
84919457676
-
-
3D-SLICER (2011). http://www.slicer.org/.
-
(2011)
3D-SLICER
-
-
-
2
-
-
77949493051
-
Linguistic pitch analysis using func- tional principal component mixed effect models
-
MR2744475
-
ASTON, J. A. D., CHIOU, J.-M. and EVANS, J. P. (2010). Linguistic pitch analysis using func- tional principal component mixed effect models. J. R. Stat. Soc. Ser. C. Appl. Stat. 59 297-317.MR2744475
-
(2010)
J. R. Stat. Soc. Ser. C. Appl. Stat
, vol.59
, pp. 297-317
-
-
Aston, J.A.D.1
Chiou, J.-M.2
Evans, J.P.3
-
3
-
-
66249124310
-
Bayesian semiparametric joint models for functional predictors
-
MR2663031
-
BIGELOW, J. L. and DUNSON, D. B. (2009). Bayesian semiparametric joint models for functional predictors. J. Amer. Statist. Assoc. 104 26-36.MR2663031
-
(2009)
J. Amer. Statist. Assoc
, vol.104
, pp. 26-36
-
-
Bigelow, J.L.1
Dunson, D.B.2
-
4
-
-
63549098106
-
Reliable eigenspectra for new generation surveys
-
BUDAVARI, T., WILD, V., SZALAY, A. S., DOBOS, L. and YIP, C.-W. (2009). Reliable eigenspectra for new generation surveys. Monthly Notices of the Royal Astronomical Society 394 1496-1502.
-
(2009)
Monthly Notices of the Royal Astronomical Society
, vol.394
, pp. 1496-1502
-
-
Budavari, T.1
Wild, V.2
Szalay, A.S.3
Dobos, L.4
Yip, C.-W.5
-
6
-
-
80054711200
-
Population value decomposition, a framework for the analysis of image populations
-
MR2894733
-
CRAINICEANU, C. M., CAFFO, B. S., LUO, S., ZIPUNNIKOV, V. M. and PUNJABI, N. M. (2011). Population value decomposition, a framework for the analysis of image populations. J. Amer. Statist. Assoc. 106 775-790.MR2894733
-
(2011)
J. Amer. Statist. Assoc
, vol.106
, pp. 775-790
-
-
Crainiceanu, C.M.1
Caffo, B.S.2
Luo, S.3
Zipunnikov, V.M.4
Punjabi, N.M.5
-
8
-
-
84961288655
-
Multilevel sparse functional principal com- ponent analysis
-
DI, C., CRAINICEANU, C. M. and JANK, W. S. (2010). Multilevel sparse functional principal com- ponent analysis. Stat. 3 126-143.
-
(2010)
Stat
, vol.3
, pp. 126-143
-
-
Di, C.1
Crainiceanu, C.M.2
Jank, W.S.3
-
9
-
-
79960273349
-
Multilevel functional principal component analysis
-
MR2668715
-
DI, C.-Z., CRAINICEANU, C. M., CAFFO, B. S. and PUNJABI, N. M. (2009). Multilevel functional principal component analysis. Ann. Appl. Stat. 3 458-488.MR2668715
-
(2009)
Ann. Appl. Stat
, vol.3
, pp. 458-488
-
-
Di, C.-Z.1
Crainiceanu, C.M.2
Caffo, B.S.3
Punjabi, N.M.4
-
10
-
-
0033721471
-
Inferring the eigenvalues of covariance matrices from lim- ited, noisy data
-
MR1824643
-
EVERSON, R. and ROBERTS, S. (2000). Inferring the eigenvalues of covariance matrices from lim- ited, noisy data. IEEE Trans. Signal Process. 48 2083-2091.MR1824643
-
(2000)
IEEE Trans. Signal Process
, vol.48
, pp. 2083-2091
-
-
Everson, R.1
Roberts, S.2
-
11
-
-
79958755327
-
Penalized func- tional regression analysis of white-matter tract profiles in multiple sclerosis
-
GOLDSMITH, J., CRAINICEANU, C. M., CAFFO, B. S. and REICH, D. S. (2011). Penalized func- tional regression analysis of white-matter tract profiles in multiple sclerosis. NeuroImage 57 431-439.
-
(2011)
NeuroImage
, vol.57
, pp. 431-439
-
-
Goldsmith, J.1
Crainiceanu, C.M.2
Caffo, B.S.3
Reich, D.S.4
-
12
-
-
0004236492
-
-
3rd ed. Johns Hopkins Univ. Press, Baltimore, MD, MR1417720
-
GOLUB, G. H. and VAN LOAN, C. F. (1996). Matrix Computations, 3rd ed. Johns Hopkins Univ. Press, Baltimore, MD.MR1417720
-
(1996)
Matrix Computations
-
-
Golub, G.H.1
Van Loan, C.F.2
-
13
-
-
79953051021
-
Longitudinal functional prin- cipal component analysis
-
MR2727452
-
GREVEN, S., CRAINICEANU, C., CAFFO, B. and REICH, D. (2010). Longitudinal functional prin- cipal component analysis. Electron. J. Stat. 4 1022-1054.MR2727452
-
(2010)
Electron. J. Stat
, vol.4
, pp. 1022-1054
-
-
Greven, S.1
Crainiceanu, C.2
Caffo, B.3
Reich, D.4
-
14
-
-
0036185675
-
Functional mixed effects models
-
MR1891050
-
GUO, W. (2002). Functional mixed effects models. Biometrics 58 121-128.MR1891050
-
(2002)
Biometrics
, vol.58
, pp. 121-128
-
-
Guo, W.1
-
15
-
-
47649117281
-
Modelling sparse generalized longitudinal ob- servations with latent Gaussian processes
-
MR2523900
-
HALL, P., MÜLLER, H.-G. and YAO, F. (2008). Modelling sparse generalized longitudinal ob- servations with latent Gaussian processes. J. R. Stat. Soc. Ser. B Stat. Methodol. 70 703-723.MR2523900
-
(2008)
J. R. Stat. Soc. Ser. B Stat. Methodol
, vol.70
, pp. 703-723
-
-
Hall, P.1
MÜller, H.-G.2
Yao, F.3
-
16
-
-
0000317021
-
Extension of the Gauss-Markov theorem to include the estimation of random effects
-
MR0398007
-
HARVILLE, D. (1976). Extension of the Gauss-Markov theorem to include the estimation of random effects. Ann. Statist. 4 384-395.MR0398007
-
(1976)
Ann. Statist
, vol.4
, pp. 384-395
-
-
Harville, D.1
-
17
-
-
84864407941
-
Semiparamet- ric Bayesian local functional models for diffusion tensor tract statistics
-
HUA, Z. W., DUNSON, D. B., GILMORE, J. H., STYNER, M. and ZHU, H. T. (2012). Semiparamet- ric Bayesian local functional models for diffusion tensor tract statistics. NeuroImage 63 460-474.
-
(2012)
NeuroImage
, vol.63
, pp. 460-474
-
-
Hua, Z.W.1
Dunson, D.B.2
Gilmore, J.H.3
Styner, M.4
Zhu, H.T.5
-
18
-
-
0003097075
-
Über lineare Methoden in der Wahrscheinlichkeitsrechnung
-
KARHUNEN, K. (1947). Über lineare Methoden in der Wahrscheinlichkeitsrechnung. Annales Academie Scientiarum Fennicae 37 1-79.
-
(1947)
Annales Academie Scientiarum Fennicae
, vol.37
, pp. 1-79
-
-
Karhunen, K.1
-
19
-
-
79961044921
-
Multiscale adaptive regression models for neuroimaging data
-
MR2853730
-
LI, Y., ZHU, H., SHEN, D., LIN, W., GILMORE, J. H. and IBRAHIM, J. G. (2011). Multiscale adaptive regression models for neuroimaging data. J. R. Stat. Soc. Ser. B Stat. Methodol. 73 559-578.MR2853730
-
(2011)
J. R. Stat. Soc. Ser. B Stat. Methodol
, vol.73
, pp. 559-578
-
-
Li, Y.1
Zhu, H.2
Shen, D.3
Lin, W.4
Gilmore, J.H.5
Ibrahim, J.G.6
-
20
-
-
0003998877
-
-
4th ed. Springer, New York, MR0651018
-
LOÈVE, M. (1978). Probability Theory II, 4th ed. Springer, New York.MR0651018
-
(1978)
Probability Theory II
-
-
LoÈve, M.1
-
21
-
-
0003646026
-
-
Wiley, New York, MR1884506
-
MCCULLOCH, C. E. and SEARLE, S. R. (2001). Generalized, Linear, and Mixed Models. Wiley, New York.MR1884506
-
(2001)
Generalized, Linear, and Mixed Models
-
-
McCulloch, C.E.1
Searle, S.R.2
-
22
-
-
0043164386
-
Automatic choice of dimensionality for PCA
-
MINKA, T. P. (2000). Automatic choice of dimensionality for PCA. Adv. Neural Inf. Process. Syst. 13598-604.
-
(2000)
Adv. Neural Inf. Process. Syst
, pp. 13598-13604
-
-
Minka, T.P.1
-
23
-
-
84919450301
-
-
MIPAV
-
MIPAV (2011). http://mipav.cit.nih.gov.
-
(2011)
-
-
-
27
-
-
80054689503
-
Automated analysis of quantitative image data using isomorphic functional mixed models, with application to proteomics data
-
MR2840180
-
MORRIS, J. S., BALADANDAYUTHAPANI, V., HERRICK, R. C., SANNA, P. and GUTSTEIN, H. (2011). Automated analysis of quantitative image data using isomorphic functional mixed models, with application to proteomics data. Ann. Appl. Stat. 5 894-923.MR2840180
-
(2011)
Ann. Appl. Stat
, vol.5
, pp. 894-923
-
-
Morris, J.S.1
Baladandayuthapani, V.2
Herrick, R.C.3
Sanna, P.4
Gutstein, H.5
-
28
-
-
84919450300
-
-
National Alliance for Medical Image Computing (NA-MIC)
-
PUJOL, S. (2010). 3D-Slicer (tutorial). National Alliance for Medical Image Computing (NA-MIC).
-
(2010)
3D-Slicer (tutorial)
-
-
Pujol, S.1
-
29
-
-
77649270538
-
-
Saunders, Philadelphia, PA
-
RAINE, C. S., MCFARLAND, H. and HOHLFELD, R. (2008). Multiple Sclerosis: A Comprehensive Text. Saunders, Philadelphia, PA.
-
(2008)
Multiple Sclerosis: A Comprehensive Text
-
-
Raine, C.S.1
McFarland, H.2
Hohlfeld, R.3
-
30
-
-
73749086028
-
Automated vs conven- tional tractography in multiple sclerosis: Variablity and correlation with disability
-
REICH, D. S., OZTURK, A., CALABRESI, P. A. and MORI, S. (2010). Automated vs conven- tional tractography in multiple sclerosis: Variablity and correlation with disability. NeuroImage 49 3047-3056.
-
(2010)
NeuroImage
, vol.49
, pp. 3047-3056
-
-
Reich, D.S.1
Ozturk, A.2
Calabresi, P.A.3
Mori, S.4
-
32
-
-
77949757564
-
Functional generalized linear models with images as pre- dictors
-
MR2756691
-
REISS, P. T. and OGDEN, R. T. (2010). Functional generalized linear models with images as pre- dictors. Biometrics 66 61-69.MR2756691
-
(2010)
Biometrics
, vol.66
, pp. 61-69
-
-
Reiss, P.T.1
Ogden, R.T.2
-
33
-
-
80052180054
-
Functional logistic regression with PET imaging data: A voxel-level clinical diagnostic tool
-
REISS, P. T., OGDEN, R. T., MANN, J. and PARSEY, R. V. (2005). Functional logistic regression with PET imaging data: A voxel-level clinical diagnostic tool. Journal of Cerebral Blood Flow & Metabolism 25 s635.
-
(2005)
Journal of Cerebral Blood Flow & Metabolism
, vol.25
, pp. s635
-
-
Reiss, P.T.1
Ogden, R.T.2
Mann, J.3
Parsey, R.V.4
-
34
-
-
60449108968
-
Bayesian nonparametric functional data analysis through density estimation
-
MR2482141
-
RODRÍGUEZ, A., DUNSON, D. B. and GELFAND, A. E. (2009). Bayesian nonparametric functional data analysis through density estimation. Biometrika 96 149-162.MR2482141
-
(2009)
Biometrika
, vol.96
, pp. 149-162
-
-
RodrÍguez, A.1
Dunson, D.B.2
Gelfand, A.E.3
-
35
-
-
84898929664
-
EM algorithms for PCA and SPCA
-
ROWEIS, S. (1997). EM algorithms for PCA and SPCA. Adv. Neural Inf. Process. Syst. 10 626-632.
-
(1997)
Adv. Neural Inf. Process. Syst
, vol.10
, pp. 626-632
-
-
Roweis, S.1
-
36
-
-
79960253679
-
Popu- lation wide model-free quantification of blood-brain-barrier dynamics in multiple sclerosis
-
SHINOHARA, R., CRAINICEANU, C., CAFFO, B., GAITA, M. I. and REICH, D. S. (2011). Popu- lation wide model-free quantification of blood-brain-barrier dynamics in multiple sclerosis. NeuroImage 57 1430-1446.
-
(2011)
NeuroImage
, vol.57
, pp. 1430-1446
-
-
Shinohara, R.1
Crainiceanu, C.2
Caffo, B.3
Gaita, M.I.4
Reich, D.S.5
-
37
-
-
84919442653
-
-
Available at arXiv:1304.6783
-
SHOU, H., ZIPUNNIKOV, V., CRAINICEANU, C. and GREVEN, S. (2013). Structured functional principal component analysis. Available at arXiv:1304.6783.
-
(2013)
Structured functional principal component analysis
-
-
Shou, H.1
Zipunnikov, V.2
Crainiceanu, C.3
Greven, S.4
-
38
-
-
77749242738
-
Fast analysis of spatially correlated multilevel functional data
-
STAICU, A.-M., CRAINICEANU, C. M. and CARROLL, R. J. (2010). Fast analysis of spatially correlated multilevel functional data. Biostatistics 11 177-194.
-
(2010)
Biostatistics
, vol.11
, pp. 177-194
-
-
Staicu, A.-M.1
Crainiceanu, C.M.2
Carroll, R.J.3
-
40
-
-
84919450298
-
-
Available at arXiv:1306.5718
-
XIAO, L., RUPPERT, D., ZIPUNNIKOV, V. and CRAINICEANU, C. (2013). Fast covariance estima- tion for high-dimensional functional data. Available at arXiv:1306.5718.
-
(2013)
Fast covariance estima- tion for high-dimensional functional data
-
-
Xiao, L.1
Ruppert, D.2
Zipunnikov, V.3
Crainiceanu, C.4
-
41
-
-
84885751298
-
Fmem: Functional mixed effects modeling for the analysis of longitudinal white matter tract data
-
YUAN, Y., GILMORE, J. H., GENG, X., STYNER, M., CHEN, K., WANG, J. L. and ZHU, H. (2014). Fmem: Functional mixed effects modeling for the analysis of longitudinal white matter tract data. NeuroImage 84 753-764.
-
(2014)
NeuroImage
, vol.84
, pp. 753-764
-
-
Yuan, Y.1
Gilmore, J.H.2
Geng, X.3
Styner, M.4
Chen, K.5
Wang, J.L.6
Zhu, H.7
-
42
-
-
33746803683
-
A novel incremental principal component analysis and its application for face recognition. IEEE Transactions on Systems, Man, and Cybernetics
-
ZHAO, H., YUEN, P. C. and KWOK, J. T. (2006). A novel incremental principal component analysis and its application for face recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 36 873-886.
-
(2006)
Part B: Cybernetics
, vol.36
, pp. 873-886
-
-
Zhao, H.1
Yuen, P.C.2
Kwok, J.T.3
-
43
-
-
80054702555
-
Robust, adaptive functional regression in func- tional mixed model framework
-
MR2894772
-
ZHU, H., BROWN, P. J. and MORRIS, J. S. (2011). Robust, adaptive functional regression in func- tional mixed model framework. J. Amer. Statist. Assoc. 106 1167-1179.MR2894772
-
(2011)
J. Amer. Statist. Assoc
, vol.106
, pp. 1167-1179
-
-
Zhu, H.1
Brown, P.J.2
Morris, J.S.3
-
44
-
-
83455262070
-
Multilevel functional principal component analysis for high- dimensional data
-
MR2878951
-
ZIPUNNIKOV, V., CAFFO, B., YOUSEM, D. M., DAVATZIKOS, C., SCHWARTZ, B. S. and CRAINICEANU, C. (2011a). Multilevel functional principal component analysis for high- dimensional data. J. Comput. Graph. Statist. 20 852-873.MR2878951
-
(2011)
J. Comput. Graph. Statist
, vol.20
, pp. 852-873
-
-
Zipunnikov, V.1
Caffo, B.2
Yousem, D.M.3
Davatzikos, C.4
Schwartz, B.S.5
Crainiceanu, C.6
-
45
-
-
80052182433
-
Functional principal component models for high dimensional brain volumetrics
-
ZIPUNNIKOV, V., CAFFO, B., YOUSEM, D. M., DAVATZIKOS, C., SCHWARTZ, B. S. and CRAINICEANU, C. M. (2011b). Functional principal component models for high dimensional brain volumetrics. NeuroImage 58 772-784.
-
(2011)
NeuroImage
, vol.58
, pp. 772-784
-
-
Zipunnikov, V.1
Caffo, B.2
Yousem, D.M.3
Davatzikos, C.4
Schwartz, B.S.5
Crainiceanu, C.M.6
-
46
-
-
84919439034
-
-
ZIPUNNIKOV, V., GREVEN, S., SHOU, H., CAFFO, B., REICH, D. S. and CRAINICEANU, C. (2014). Supplement to “Longitudinal high-dimensional principal components analysis with ap- plication to diffusion tensor imaging of multiple sclerosis.” DOI:10.1214/14-AOAS748SUPP.
-
(2014)
Supplement to “Longitudinal high-dimensional principal components analysis with ap- plication to diffusion tensor imaging of multiple sclerosis.”
-
-
Zipunnikov, V.1
Greven, S.2
Shou, H.3
Caffo, B.4
Reich, D.S.5
Crainiceanu, C.6
|