Diego Vidaurre

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All published works

Action	Title	Year	Authors
+	The Gaussian-Linear Hidden Markov model: a Python package	2025	Diego Vidaurre Laura Masaracchia Nick Y. Larsen Lenno Ruijters Sonsoles Alonso Christine Ahrends Mark W. Woolrich
+	Dynamic Functional Connectivity	2023	Christine Ahrends Diego Vidaurre
+	Dynamic functional connectivity: why the controversy?	2023	Diego Vidaurre
+	The Gaussian-Linear Hidden Markov model: a Python package	2023	Diego Vidaurre Nick Y. Larsen Laura Masaracchia Lenno Ruijters Sonsoles Alonso Christine Ahrends Mark W. Woolrich
+ PDF Chat	Breakdown of random matrix universality in Markov models	2021	Faheem Mosam Diego Vidaurre Eric DeGiuli
+ PDF Chat	Questions and controversies in the study of time-varying functional connectivity in resting fMRI	2019	Daniel J. Lurie Daniel Kessler Danielle S. Bassett Richard F. Betzel Michael Breakspear Shella Kheilholz Aaron Kucyi Raphaël Liégeois Martin A. Lindquist Anthony R. McIntosh
+	On the nature of time-varying functional connectivity in resting fMRI	2018	Daniel J. Lurie Daniel Kessler Danielle S. Bassett Richard F. Betzel Michael Breakspear Shella Keilholz Aaron Kucyi Raphaël Liégeois Martin A. Lindquist Anthony R. McIntosh
+ PDF Chat	Hypothesis testing in the presence of noisy experimental replications	2018	Diego Vidaurre Mark W. Woolrich Theodoros Karapanagiotidis Jonathan Smallwood Thomas E. Nichols
+ PDF Chat	Stable between-subject statistical inference from unstable within-subject functional connectivity estimates	2018	Diego Vidaurre Mark W. Woolrich Anderson M. Winkler Theodoros Karapanagiotidis Jonathan Smallwood Thomas E. Nichols
+	Variational Mixture Models with Gamma or inverse-Gamma components	2016	Alberto Llera Diego Vidaurre Raimon Pruim Christian F. Beckmann
+	Dimensionality reduction for time series data	2014	Diego Vidaurre Iead Rezek Samuel L. Harrison Stephen S. Smith Mark W. Woolrich
+	A Survey of<i>L</i><sub>1</sub>Regression	2013	Diego Vidaurre Concha Bielza Pedro Larrañaga
+	Sparse regularized local regression	2013	Diego Vidaurre Concha Bielza Pedro Larrañaga
+ PDF Chat	Forward stagewise naïve Bayes	2012	Diego Vidaurre Concha Bielza Pedro Larrañaga
+ PDF Chat	Lazy lasso for local regression	2011	Diego Vidaurre Concha Bielza Pedro Larrañaga

Common Coauthors

Coauthor	Papers Together
Mark W. Woolrich	5
Pedro Larrañaga	4
Concha Bielza	4
Christine Ahrends	3
Richard F. Betzel	2
Daniel J. Lurie	2
Jonathan Smallwood	2
Linda Douw	2
Raphaël Liégeois	2
Robyn L. Miller	2
Theodoros Karapanagiotidis	2
Vince D. Calhoun	2
Martin A. Lindquist	2
Adeel Razi	2
Russell A. Poldrack	2
Anthony R. McIntosh	2
Muthuraman Muthuraman	2
Aaron Kucyi	2
Thomas E. Nichols	2
Sonsoles Alonso	2
Nick Y. Larsen	2
Daniel Kessler	2
Michael Breakspear	2
James M. Shine	2
William Hedley Thompson	2
Dominik Kraft	2
Laura Masaracchia	2
Lorenzo Pasquini	2
Natalia Bielczyk	2
Danielle S. Bassett	2
Lenno Ruijters	2
Shella Kheilholz	1
Eric DeGiuli	1
Raimon Pruim	1
Hua Xie	1
Faheem Mosam	1
Christian F. Beckmann	1
Samuel L. Harrison	1
Alberto Llera	1
Iead Rezek	1
Shella Keilholz	1
Hua Xie	1
Stephen S. Smith	1
Anderson M. Winkler	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Rodeo: Sparse, greedy nonparametric regression	2008	John Lafferty Larry Wasserman	3
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	3
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+	Hurst-Kolmogorov Dynamics and Uncertainty1	2011	Demetris Koutsoyiannis	2
+	Non‐parametric combination and related permutation tests for neuroimaging	2016	Anderson M. Winkler Matthew Webster J.C. Brooks Irene Tracey Stephen M. Smith Thomas E. Nichols	2
+ PDF Chat	Local Regression: Automatic Kernel Carpentry	1993	Trevor Hastie Clive Loader	2
+ PDF Chat	Lasso-type recovery of sparse representations for high-dimensional data	2009	Nicolai Meinshausen Bin Yu	2
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	2
+ PDF Chat	The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance	2016	James M. Shine Patrick G. Bissett Peter T. Bell Oluwasanmi Koyejo Joshua H. Balsters Krzysztof J. Gorgolewski Craig A. Moodie Russell A. Poldrack	2
+ PDF Chat	Criticality in the brain: A synthesis of neurobiology, models and cognition	2017	Luca Cocchi Leonardo L. Gollo Andrew Zalesky Michael Breakspear	2
+ PDF Chat	Temporal networks	2012	Petter Holme Jari Saramäki	2
+	Multivariate Locally Weighted Least Squares Regression	1994	David Ruppert M. P. Wand	2
+ PDF Chat	Asymptotics for lasso-type estimators	2000	Wenjiang Fu Keith Knight	2
+	Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization	2001	P. Tseng	2
+ PDF Chat	Component selection and smoothing in multivariate nonparametric regression	2006	Yi Lin Hao Helen Zhang	2
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	2
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	2
+	Local Regression and Likelihood	1999	Clive Loader	2
+	On Model Selection Consistency of Lasso	2006	Peng Zhao Bin Yu	2
+ PDF Chat	Temporal metastates are associated with differential patterns of time-resolved connectivity, network topology, and attention	2016	James M. Shine Oluwasanmi Koyejo Russell A. Poldrack	2
+	Permutation Tests for Complex Data	2010	Fortunato Pesarin Luigi Salmaso	2
+	Functional Data Analysis	2005	J. O. Ramsay	2
+	Ridge Regression: Biased Estimation for Nonorthogonal Problems	1970	Arthur E. Hoerl Robert W. Kennard	2
+ PDF Chat	Controlling the familywise error rate in functional neuroimaging: a comparative review	2003	Thomas E. Nichols Satoru Hayasaka	2
+	Generating surrogate data for time series with several simultaneously measured variables	1994	Dean Prichard James Theiler	2
+ PDF Chat	Nonparametric permutation tests for functional neuroimaging: A primer with examples	2001	Thomas E. Nichols Andrew P. Holmes	2
+	Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting	1988	William S. Cleveland Susan J. Devlin	2
+	Ridge Regression: Applications to Nonorthogonal Problems	1970	Arthur E. Hoerl Robert W. Kennard	2
+	An Additive Method for Combining Probability Values from Independent Experiments	1972	Eugene S. Edgington	2
+ PDF Chat	Least angle and ℓ1 penalized regression: A review	2008	Tim Hesterberg Nam Hee Choi Lukas Meier Chris Fraley	2
+ PDF Chat	Cerebral functional connectivity periodically (de)synchronizes with anatomical constraints	2015	Raphaël Liégeois Erik Ziegler Christophe Phillips Pierre Geurts Francisco Gómez Mohamed Ali Bahri B.T. Thomas Yeo Andrea Soddu Audrey Vanhaudenhuyse Steven Laureys	2
+ PDF Chat	Robust Linear Model Selection Based on Least Angle Regression	2007	Jafar A Khan Stefan Van Aelst Ruben H. Zamar	2
+ PDF Chat	On the “degrees of freedom” of the lasso	2007	Hui Zou Trevor Hastie Robert Tibshirani	2
+ PDF Chat	The composite absolute penalties family for grouped and hierarchical variable selection	2009	Peng Zhao Guilherme V. Rocha Bin Yu	1
+ PDF Chat	Supervised group Lasso with applications to microarray data analysis	2007	Shuangge Ma Xiao Song Jian Huang	1
+ PDF Chat	Induction of Selective Bayesian Classifiers	1994	Pat Langley Stephanie Sage	1
+	Some diagnostics for binary logistic regression via smoothing	1987	Edward B. Fowlkes	1
+	On the LASSO and Its Dual	2000	M. R. Osborne Brett Presnell Berwin A. Turlach	1
+	Assumptionless consistency of the Lasso	2013	Sourav Chatterjee	1
+	More Comments on<i>C<sub>p</sub></i>	1995	Cohn L. Mallows	1
+	The Bayesian Lasso	2008	Trevor Park George Casella	1
+ PDF Chat	Lazy lasso for local regression	2011	Diego Vidaurre Concha Bielza Pedro Larrañaga	1
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	1
+	Matrix multiplication via arithmetic progressions	1990	Don Coppersmith S. Winograd	1
+ PDF Chat	Local Linear Regression Smoothers and Their Minimax Efficiencies	1993	Jianqing Fan	1
+	Unified LASSO Estimation by Least Squares Approximation	2007	Hansheng Wang Chenlei Leng	1
+	Nonparametric functional data analysis : theory and practice	2006	Frédéric Ferraty Philippe Vieu	1
+	The Estimation of Prediction Error	2004	Bradley Efron	1
+	Variable Inclusion and Shrinkage Algorithms	2008	Peter Radchenko Gareth James	1
+	A Distribution-Free Theory of Nonparametric Regression	2002	László Györfi Michael Köhler Adam Krzyżak Harro Walk	1