2014 Spring

Zhaohua Lu

Gaussian Process-Mixture Conditional Heteroscedasticity Platanios, E. ; Chatzis, S.

Dan Shen

Gradient-based kernel dimension reduction for regression Kenji Fukumizu & Chenlei Leng

Miranda Michelle

Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals

Chih-Da Wu

Fan, Y. and Tang, C. (2013). Tuning parameter selection in high dimensional penalized likelihood.

Sun Qiang

Fan, Y. and Lv, J. (2013). Asymptotic equivalence of regularization methods in thresholded parameter space.

Bryant, Christopher

Scaling Multidimensional Inference for Structured Gaussian Processes Gilboa, E. ; Saatci, Y. ; Cunningham, J.

Cornea, Emil

Geodesic Mapping for Dynamic Surface Alignment Tung, T. ; Matsuyama, T.

Mihye Ahn

James, G., Sabatti, C., Zhou, N. and Zhu, J. (2010) "Sparse Regulatory Networks"

Simultaneous Tensor Decomposition and Completion Using Factor Priors Chen, Y. ; Hsu, C. ; Liao, H.

Chao Huang

Semi-Supervised Kernel Mean Shift Clustering Anand, S. ; Mittal, S. ; Tuzel, O. ; Meer, P.

Jingwen Zhang

Jiayu Zhou, Jun Liu, Vaibhav A Narayan, and Jieping Ye. Modeling Disease Progression via Multi-task Learning.

Pinghua Gong, Jieping Ye, and Changshui Zhang. Multi-Stage Multi-Task Feature Learning.

Hojin Yang

Index Models for Sparsely Sampled Functional Data Gareth M. James, Xinghao Qiao and Peter Radchenko

Dehang Kong

Fan, Y. and James, G. (2013) "Functional Additive Regression".

Shikai Lu

The Constrained Lasso Gareth M. James, Courtney Paulson and Paat Rusmevichientong

Xinchao Luo

Dimension reduction and alleviation of confounding for spatial generalized linear mixed models John Hughes and Murali Haran

Yu Yang

Sparse Canonical Correlation Analysis: New Formulation and Algorithm Chu, D. ; Liao, L. ; Ng, M. ; Zhang, X.

Rao Shaobang

Tensor Sparse Coding for Positive Definite Matrices Sivalingam, R. ; Boley, D. ; Morellas, V. ; Papanikolopoulos, N.

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach

Eunjee Lee

Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, and Jieping Ye. Bi-Level Multi-Source Learning for Heterogeneous Block-Wise Missing Data. NeuroImage.

Lei Yuan, Yalin Wang, Paul Thompson, Vaibhav Narayan, and Jieping Ye. Multi-Source Feature Learning for Joint Analysis of Incomplete Multiple Heterogeneous Neuroimaging Data.

Hua yuan-An

A new perspective on the Propagation-Separation approach: Taking advantage of the propagation condition Saskia Becker, Peter Mathé

Linglong Kong

Model Selection via Bayesian Information Criterion for Quantile Regression Models Eun Ryung Lee, Hohsuk Noh & Byeong U. Park

2013 Summer (Tentative schedule)

Wang Dong

Jianhui Chen, Lei Tang, Jun Liu, and Jieping Ye. A Convex Formulation for Learning Shared Structures from Multiple Tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Dan Yang

Optimal classification in sparse Gaussian graphic model. With Yingying Fan and Zhigang Yao. Manuscript.

Liwen Zhang

Fan, Y., Fan, J. and Barut, E. (2012). Adaptive Robust Variable Selection Manuscript.

Shikai Luo

Yao Hu, Debing Zhang, Jieping Ye, Xuelong Li, and Xiaofei He. Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Dehan Kong

Covariance assisted screening and estimation. With Jianqing Fan and Tracy Ke. Manuscript.

Hojin Yang

S. Balakrishnan, K. Puniyani and J. Lafferty, Sparse Additive Functional and Kernel CCA.

M.J. Paul and M. Dredze, Factorial LDA: Sparse Multi-Dimensional Text Models.

Miranda Michelle

B. Chen, G. Polatkan, G. Sapiro, D. Blei, D. Dunson and L. Carin, Deep Learning with Hierarchical Convolutional Factor Analysis (supplementary material), to appear in IEEE Trans. Pattern Analysis & Machine Intelligence, 2013.

Shen, Dan

Poisson noise reduction with non-local PCA Joseph Salmon, Zachary Harmany, Charles-Alban Deledalle, Rebecca Wille.

Rao Shaobang

Lingsong Zhang, Haipeng Shen, Jianhua Z. Huang (2013) Robust Regularized Singular Value Decomposition with Application to Mortality Data, The Annals of Applied Statistics, forthcoming.

Qibing Gao

Seonjin Kim and Zhibiao Zhao Unified inference for sparse and dense longitudinal models Biometrika (2013) 100(1): 203-212.

Hans-Georg Müller, Yichao Wu, and Fang Yao. Continuously additive models for nonlinear functional regression, Biometrika.

Lin, Ja-an

A Unified Mixed-Effects Model for Rare-Variant Association in Sequencing Studies Jianping Sun, Yingye Zheng and Li Hsu.

Chih-Da Wu

Lv, J. and Liu, J. S. (2013). Model selection principles in misspecified models. Journal of the Royal Statistical Society Series B, to appear.

Zhaohua Lu

K. Palla, D.A. Knowles and Z. Ghahramani, An Infinite Latent Attribute Model for Network Data.

P. Sarkar, D. Chakrabartiy and M.I. Jordan, Nonparametric Link Prediction in Dynamic Networks.

Bryant, Christopher

Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, and Eric Reiman. Brain Effective Connectivity Modeling for Alzheimer's Disease Study by Sparse Bayesian Network. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Sun Qiang

Cook, R. D., Helland, I. S. and Su, Z. Envelopes and Partial Least Squares Regression. Journal of the Royal Statistical Society: Series B. To appear.

Cornea, Emil

Hierarchical Graphical Models for Multigroup Shape Analysis using Expectation Maximization with Sampling in Kendall's Shape Space Authors Yen-Yun Yu, P Thomas Fletcher, Suyash P Awate.

Sasaki metrics for analysis of longitudinal data on manifolds Prasanna Muralidharan, P. Thomas Fletcher.

Jing Chang

Rank-Based Robust Tests for Quantitative-Trait Genetic Association Studies Qizhai Li, Zhengbang Li, Gang Zheng, Guimin Gao and Kai Yu.

Mihye Ahn

Spatially constrained hierarchical parcellation of the brain with resting-state fMRI Original Research Article In Press, Uncorrected Proof, Available online 21 March 2013 Thomas Blumensath, Saad Jbabdi, Matthew F. Glasser, David C. Van Essen, Kamil Ugurbil, Timothy E.J. Behrens, Stephen M. Smith.

Yuai Hua

Biophysical Network Models and the Human Connectome Review Article In Press, Accepted Manuscript, Available online 6 April 2013 Mark W. Woolrich, Klaas E. Stephan.

The parcellation-based connectome: Limitations and extensions Review Article In Press, Uncorrected Proof, Available online 1 April 2013 Marcel A. de Reus, Martijn P. van den Heuvel.

Chao Huang

E. Arias-Castro, J. Salmon, and R. Willett. “Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods.” Accepted to SIAM Journal on Imaging Sciences, 2012.

2012 Fall

Chih-Da Wu

Zhou, X.; Yang, C.; Yu, W. Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation. Pattern Analysis and Machine Intelligence, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Chao Huang

Fitting Optimal Curves to Time-Indexed, Noisy Observations on Nonlinear Manifolds. J. Su, I. L. Dryden, E. Klassen, H. Le and A. Srivastava. Journal of Image and Vision Computing, accepted, September 2011.

Xu, L., Johnson, T. D., Nichols, T. E., and Nee, D. (2009). Modeling inter-subject variability in fMRI activation location: A Bayesian hierarchical spatial model. Biometrics 65, 1041�?051. PMCID: PMC2812016.

Mihye Ahn

M.J. Brookes, M.W. Woolrich, G.R. Barnes. Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage. In Press

Camilo Lamus, Matti S. Hämäläinen, Simona Temereanca, Emery N. Brown, Patrick L. Purdon. A spatiotemporal dynamic distributed solution to the MEG inverse problem.In Press

Michelle Miranda

J. Chumbley, K. Worsley, G. Flandin, K. Friston. (2010) Topological FDR for neuroimaging. NeuroImage, Volume 49, Issue 4,Pages 3057-3064.

Philip T. Reiss, Armin Schwartzman, Feihan Lu, Lei Huang, Erika Proal. Paradoxical results of adaptive false discovery rate procedures in neuroimaging studies.

Christopher Bryant

Zhi Yang, Xi-Nian Zuo, Peipei Wang, Zhihao Li, Stephen M. LaConte, Peter A. Bandettini, Xiaoping P. Hu. (2012) Generalized RAICAR: Discover homogeneous subject (sub)groups by reproducibility of their intrinsic connectivity networks. NeuroImage, Volume 63, Issue 1, 15 October 2012, Pages 403�?14

Heike Tost, Edda Bilek, Andreas Meyer-Lindenberg. Brain connectivity in psychiatric imaging genetics. NeuroImage, In Press.

Dong Wang

Alfonso Nieto-Castanon, Evelina Fedorenko. Subject-specific functional localizers increase sensitivity and functional resolution of multi-subject analyses. NeuroImage, in press.

Tomoki Arichi, Gianlorenzo Fagiolo, Marta Varela, Alejandro Melendez-Calderon, Alessandro Allievi, Nazakat Merchant, Nora Tusor, Serena J. Counsell, Etienne Burdet, Christian F. Beckmann, A. David Edwards. Development of BOLD signal hemodynamic responses in the human brain. NeuroImage. In Press.

Dehan Kong

Zhang, Z.; Zhao, K. Low Rank Matrix Approximation with Manifold Regularization.

Zhaohua Lu

Michail Papathomas, John Molitor, Clive Hoggart, David Hastie and Sylvia Richardson. Exploring Data From Genetic Association Studies Using Bayesian Variable Selection and the Dirichlet Process: Application to Searching for Gene × Gene Patterns. Genetic Epidemiology, in press.

Niall J. Cardin, Joel A. Mefford and John S. Witte. Joint Association Testing of Common and Rare Genetic Variants Using Hierarchical Modeling, Genetic Epidemiology, in press.

Indika Rajapakse, Michael D. Perlman, Paul J Martin, John A. Hansen and Charles Kooperberg. Multivariate Detection of Gene-Gene Interactions, Genetic Epidemiology, in press.

Jing Chang

Yang, W., Müller, H.G., Stadtmüller, U. (2011). Functional singular component analysis. J. Royal Statistical Society B 73, 303-324. (pdf)

Gao qibing

Chen, D., Hall, P., Müller, H.G. (2011). Single and multiple index functional regression models with nonparametric link. Annals of Statistics (pdf)

Shangbang Rao

Parametric dictionary learning for modeling EAP and ODF in diffusion MRI.
Rajwade, A.; Rangarajan, A.; Banerjee, A. Image Denoising using the Higher Order Singular Value Decomposition. Pattern Analysis and Machine Intelligence, IEEE Transactions on

Qiang Sun

Chen, K., Müller, H.G. (2011). Conditional quantile analysis when covariates are functions, with application to growth data. J. Royal Statistical Society B (pdf)

Yao, F., Müller, H.G. (2010). Functional quadratic regression. Biometrika 97, 49-64. (pdf)

Yuai Hua

Huang, S.; Li, J.; Ye, J.; Fleisher, A.; Chen, K.; Wu, T.; Reiman, E. A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, in press.

Dan Shen

Liu, G.; Lin, Z.; Yan, S.; Sun, J.; Yu, Y.; Ma, Y. Robust Recovery of Subspace Structures by Low-Rank Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, in press.

Ja-An (Joanne) Lin

Tian Ge, Jianfeng Feng, Derrek P. Hibar, Paul M. Thompson, Thomas E. Nichols. Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures. NeuroImage, In Press.

2012 Summer

Chao Huang

A Nonparametric Statistical Approach to Clustering via Mode Identification Journal of Machine Learning Research 8 (2007) 1687-1723.

Chih-Da Wu

Polynomial Regression on Riemannian Manifolds
Jacob Hinkle, Prasanna Muralidharan, P. Thomas Fletcher, Sarang Joshi

Partha Sarathi Mukherjee

Brain tissue segmentation based on DTI data
Tianming Liu, Hai Li, Kelvin Wong, Ashley Tarokh, Lei Guo, and Stephen T.C. Wong

Mihye Ahn

Zalesky et al, On the use of correlation as a measure of network connectivity, Neuroimage, 2012.
Zalesky et al, Connectiviy differences in brain networks, Neuroimage, 2012.
Zalesky et al, Network-based statistic: Identifying differences in brain networks, Neuroimage, 2010.

Michelle Miranda

Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping.
A. Brezger, L. Fahrmeir and A. Hennerfeind

Christopher Bryant

Finding Statistically Significant Communities in Networks.
Andrea Lancichinetti, Filippo Radicchi, Jose´ J. Ramasco, Santo Fortunato

Jiaping Wang

A clustering-based method to detect functional connectivity differences
In Press, Available online 3 March 2012
Gang Chen, B. Douglas Ward, Chunming Xie, Wenjun Li, Guangyu Chen, Joseph S. Goveas, Piero G. Antuono, Shi-Jiang Li

Zhaohua Lu

Bayesian Latent Factor Regression for Functional and Longitudinal Data.
Silvia Montagna, Surya T. Tokdar, Brian Neelon, and David B. Dunson

Jing Chang

Rodriguez, J.J., Kuncheva, L.I., Alonso, C.J., 2006. Rotation forest: a new classifier ensemble method. IEEE Trans. Pattern Anal. Mach. Intell. 1619�?630.

Linglong Kong

Cuevas, A., Febrero, M. and Fraiman, R. (2007) Robust estimation and classification for functional data via projection-based depth notions. Comput. Statist., 22, 481�?96.

López-Pintado, S. and Romo, J. (2006) Depth-based classification for functional data. In DIMACS Series in Discrete Mathematics and Theoretical Computer Science, vol. 72, pp.103�?20. Providence: American Mathematical Society.

Shangbang Rao

Probabilistic ODF Estimation from Reduced HARDI Data with Sparse Regularization.
Antonio Trist´an-Vega and Carl-Fredrik Westin

Qiang Sun

Inference with transposable data: modelling the effects of row and column correlations.
Genevera I. Allen and Robert Tibshirani

Yuai Hua

Modelling with independent components
Review Article In Press, Corrected Proof, Available online 18 February 2012
Christian F. Beckmann

Ja-An (Joanne) Lin

On testing an unspecified function through a linear mixed effects model with multiple variance components
Yuanjia Wang and Huaihou Chen

Dehan Kong

Estimation of Simultaneously Sparse and Low Rank Matrices. Emile Richard, Pierre-Andre Savalle and Nicolas Vayatis
Exponential Screening and optimal rates of sparse estimation. Philippe Rigollet and Alexandre B. Tsybakov

Dan Shen

Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions.
Alekh Agarwal, Sahand N. Negahban, and Martin J. Wainwright

Dong Wang

Consistent selection of tuning parameters via variable selection stability.
Wei Sun, Junhui Wang, and Yixin Fang

2011 Fall

Mihye Ahn

Seonjoo Lee, Haipeng Shen, Young Truong, Michelle Lewis, Xuemei Huang (2011)
Independent Component Analysis Involving Auto-correlated Sources with an Application to Functional Magnetic Resonance Imaging, Journal of the American Statistical Association,

Mihye Ahn

POPULATION FUNCTIONAL DATA ANALYSIS OF GROUP ICA-BASED CONNECTIVITY MEASURES FROM fMRI(February 4, 2011)
Shanshan Li, Brian S. Caffo, Suresh Joel, Stewart Mostofsky, James Pekar, and Susan Spear Bassett

Partha Sarathi Mukherjee

Detection of crossing white matter fibers with high-order tensors and rank-k decompositions
(Jiao, Gur, Johnson, Joshi; University of Utah) - Diffusion Imaging

Partha Sarathi Mukherjee

Nonnegative Factorization of Diffusion Tensor Images and Its Applications

Partha Sarathi Mukherjee

Simultaneous Smoothing & Estimation of DTI via Robust Variational Non- local Means
Meizhu Liu, Baba Vemuri, Rachid Deriche

Zhaohua Lu

A Multiresolution Method for Parameter Estimation of Diffusion Processes
S. C. Kou Benjamin P. Olding Jun S. Liu

Jiaping Wang

Multi-subject dictionary learning to segment an atlas of brain spontaneous activity
(Varoquaux, Gramfort, Pedregosa, Michel, Thirion; INRIA Saclay) - Functional Brain Analysis

Jiaping Wang

Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries
(Gramfort, Strohmeier, Haueisen, Hamalainen, Ko-walski; INRIA) - Functional Brain Analysis

Jiaping Wang

Generalized Sparse Regularization with Application to fMRI Brain Decoding

Yuai Hua

Learning the Atlas of a Cognitive Process in its Functional Geometry

Ying Yuan

White Matter Bundle Registration and Population Analysis Based on Gaussian Processes

Shangbang Rao

A Polynomial Approach for Maxima Extraction and its Application to Tractography in HARDI

Shangbang Rao

Theoretical Analysis and Practical Insights on EAP Estimation via a Unied HARDI Framework
Jian Cheng, Tianzi Jiang, Rachid Deriche

Zakaria Khondker

MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization
Mark Woolrich, Laurence Hunt, Adrian Groves, Gareth Barnes

Linglong Kong

Wasserman, L. and Roeder, K. (2009).
High dimensional variable selection. Annals of Statistics, 37, 2178-2201.

Christopher Bryant

Khalili, A., Chen, J. and Lin, S. (2011).
Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space. Biostatistics, 12, 156-172.

Christopher Bryant

Stadler, N. Buhlmann, P. and van De Geer (2010).
l_1 penalization for mixture regression models (with discussion) Test, 19-2009-285.

Michelle Miranda

http://www.stat.washington.edu/research/reports/2007/tr508.pdf

Ja-An (Joanne) Lin

Lin DY, Tang ZZ. 2011.
A general framework for detecting disease associations with rare variants in sequencing studies. The American Journal of Human Genetics, 89:354-367.

Chih-Da Wu

Geodesic Regression on Riemannian Manifolds.
P. Thomas Fletcher.

Chih-Da Wu

Matching and Classification of Images Using The Space of Image Graphs.
Dohyung Seo, Jeffrey Ho and Baba C. Vemuri.

Qiang Sun

A comparison of voxel and surface based cortical thickness estimation methods
Matthew J. Clarkson, M. Jorge Cardoso, Gerard R. Ridgway, Marc Modat, Kelvin K. Leung, Jonathan D. Rohrer, Nick C. Fox, Sébastien Ourselin

2011 Summer

2011 Spring

November 19, 2010

Presenter: Lexin Li Slides

Slides and Reference List of Yuai Hua

Reference List

2010 Fall

August 27, 2010

Title: Striatal functional connectivity networks are modulated by fMRI resting state conditions
Remark: NeuroImage, Volume 54, Issue 1, 1 January 2011, Pages 380-388
Author: Kaundinya Gopinath, Wendy Ringe, Aman Goyal, Kirstine Carter, Hubert R. Dinse, Robert Haley, Richard Briggs
Presenter: Wei Gao Slides

September 3, 2010

Title: Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data
Remark: NeuroImage 53 (2010) 65?7
Author: Martin Havlicek, Jiri Jan, Milan Brazdil, Vince D. Calhoun
Presenter: Seon Jool Slides

September 10, 2010

Title: L?Kernel Classification
Remark: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 32, NO. 10, OCTOBER 2010
Author: Kim, J Scott, C
Presenter: Ruixing Guo Slides

September 17, 2010

Title: Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach
Remark: NeuroImage, Volume 53, Issue 3, 15 November 2010, Pages 1147-1159
Author: Maria Vounou, Thomas E. Nichols, Giovanni Montana and the Alzheimer's Disease Neuroimaging Initiative
Presenter: Ja-An Lin Slides

September 24, 2010

Title: Highly accurate inverse consistent registration: A robust approach
Remark: NeuroImage, Volume 53, Issue 4, December 2010, Pages 1181-1196
Author: Martin Reuter, H. Diana Rosas, Bruce Fischl
Presenter: Yasheng Chen Slides

October 8, 2010

Title: Tractography segmentation using a hierarchical Dirichlet processes mixture model
Remark: NeuroImage, Volume 54, Issue 1, 1 January 2011, Pages 290-302
Author: Xiaogang Wang, W. Eric L. Grimson, Carl-Fredrik Westin
Presenter: Zhaowei Hua Slides

October 29, 2010

Title: Functional connectivity analysis of fMRI data using parameterized regions-of-interest
Remark: NeuroImage, Volume 54, Issue 1, 1 January 2011, Pages 410-416
Author: Wouter D. Weeda, Lourens J. Waldorp, Raoul P.P.P. Grasman, Simon van Gaal, Hilde M. Huizenga
Presenter: Jiaping Wang Slides

November 5, 2010

Title: Multiple q-shell diffusion propagator imaging
Remark: In Press, Corrected Proof, Available online 14 July 2010
Author: Maxime Descoteaux, Rachid Deriche, Denis Le Bihan, Jean-François Mangin, Cyril Poupon
Presenter: Shangbang Rao Slides

November 12, 2010

Title: Sparse multivariate regression with covariance estimation
Remark: Journal of Computational and Graphical Statistics, to appear.
Author: A. J. Rothman, E. Levina, and J. Zhu
Presenter: Zak Khondker Slides

November 19, 2010

Title: Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development
Remark: NeuroImage, Volume 53, Issue 2, 1 November 2010, Pages 450-459
Author: Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, Daniel J. Licht, James C. Gee
Presenter: Ying Yuan Slides

December 3, 2010

Title: Semi-Supervised Classification via Local Spline Regression
Remark: doi: 10.1109/TPAMI.2010.35
Author: Xiang, S. Nie, F. Zhang, C.
Presenter: Linglong Kong Slides

December 10, 2010

Title: Linear Regression for Face Recognition
Remark: doi: 10.1109/TPAMI.2010.128
Author: Naseem, I. Togneri, R. Bennamoun, M.
Presenter: Diana Lam Slides

December 17, 2010

Title: State space models on special manifolds
Remark: Journal of Multivariate Analysis, vol. 97, pp. 1284?294, 2006.
Author: Y Chikuse
Presenter: Chi-Da Wu Slides