Nicole A. Lazar

发表

Discussion of “Fiber direction estimation in diffusion MRI”

Nicole A. Lazar, 2016 .

Combining Brains: A Survey of Methods for Statistical Pooling of Information

Beatriz Luna, William F. Eddy, John A. Sweeney, 2002, NeuroImage.

A generalized estimating equations approach for resting-state functional MRI group analysis

William F. Eddy, Yvette I. Sheline, John C. Morris, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Statistics of Extremes: Theory and Applications

Nicole A. Lazar, N. Lazar, 2005, Technometrics.

Movies for the Visualization of MCMC Output

Joseph B. Kadane, Nicole A. Lazar, N. Lazar, 2002 .

FEATURE-BASED VS. INTENSITY-BASED BRAIN IMAGE REGISTRATION: COMPREHENSIVE COMPARISON USING MUTUAL INFORMATION

Yanxi Liu, Owen T. Carmichael, Howard Aizenstein, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Here's to Your Health

Mark E. Glickman, Nicole A. Lazar, Cindy L. Christiansen, 2004 .

Semantic-based Biomedical Image Indexing and Retrieval

Takeo Kanade, Yanxi Liu, Frank Dellaert, 2003 .

Statistical Analysis With Missing Data

Nicole A. Lazar, N. Lazar, 2003, Technometrics.

The Big Picture: On Mice, Badges for your CV, and the Big Data Backlash …

Nicole A. Lazar, 2014 .

Bayesian empirical likelihood for ridge and lasso regressions

Adel Bedoui, Nicole A. Lazar, N. Lazar, 2020, Comput. Stat. Data Anal..

The arc-transversal median algorithm: an approach to increasing ultrasonic sensor accuracy

Keiji Nagatani, Howie Choset, Nicole A. Lazar, 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

Statistical Issues in fMRI Data Analysis

Nicole A. Lazar, 2008 .

Multi-objective optimal experimental designs for event-related fMRI studies

Abhyuday Mandal, Ming-Hung Kao, John Stufken, 2009, NeuroImage.

Additional Statistical Issues

Nicole A. Lazar, 2008 .

Ockham's Razor

Nicole A. Lazar, N. Lazar, 2010, Encyclopedia of Machine Learning and Data Mining.

Feature-based vs . intensity-based brain image registration : voxel level and structure level performance evaluation

Yanxi Liu, Owen Carmichael, Leonid Teverovskiy, 2006 .

The arc-transversal median algorithm: a geometric approach to increasing ultrasonic sensor azimuth accuracy

Keiji Nagatani, Howie Choset, Nicole A. Lazar, 2003, IEEE Trans. Robotics Autom..

Introduction: Special Issue on Data Science

Hadley Wickham, Nicole A. Lazar, Jennifer Bryan, 2018 .

Math Chaps and other Oddities: Statisticians in Literature

Nicole A. Lazar, David S. Sidore, 2003 .

The Challenge of Functional Magnetic Resonance Imaging

Audris Mockus, Christopher R. Genovese, William F. Eddy, 1999 .

Estimation and classification of fMRI hemodynamic response patterns

Stanley L. Sclove, Dulal K. Bhaumik, Robert D. Gibbons, 2004, NeuroImage.

Sparse geostatistical analysis in clustering fMRI time series

Jun Ye, Nicole A. Lazar, Yehua Li, 2011, Journal of Neuroscience Methods.

Testing Statistical Hypotheses of Equivalence

Nicole A. Lazar, N. Lazar, 2003, Technometrics.

Threshold determination using the false discovery rate

Thomas E. Nichols, Christopher R. Genovese, Nicole A. Lazar, 2001, NeuroImage.

Bootstrapping GEE models for fMRI regional connectivity

William F. Eddy, Yvette I. Sheline, John C. Morris, 2012, NeuroImage.

Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging

Woncheol Jang, Nicole A. Lazar, Jennifer E. McDowell, 2014, NeuroImage.

Understanding the role of facial asymmetry in human face identification

Yanxi Liu, Sinjini Mitra, Nicole A. Lazar, 2007, Stat. Comput..

A Picture Can Be Worth a Thousand Formulae - An Adventure in Model Fitting

Nicole A. Lazar, 2002 .

A group comparison in fMRI data using a semiparametric model under shape invariance

Cheolwoo Park, Christopher J. Helms, Nicole A. Lazar, 2022, Comput. Stat. Data Anal..

A Review of Empirical Likelihood

Nicole A. Lazar, 2021 .

A Comparison of Spanish Second Language Acquisition in Two Different Learning Contexts: Study Abroad and the Domestic Classroom.

Norman Segalowitz, Barbara A Lafford, Joseph Collentine, 2004 .

Moving to a World Beyond “p

Allen L. Schirm, Nicole A. Lazar, Ronald L. Wasserstein, 2019 .

Empirical likelihood in the presence of nuisance parameters

Nicole A. Lazar, Per A. Mykland, P. Mykland, 1999 .

A Meta‐Analysis of fMRI Activation Differences during Episodic Memory in Alzheimer's Disease and Mild Cognitive Impairment

Dean Sabatinelli, Nicole A. Lazar, Douglas P. Terry, 2015, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

A Bayesian Generalized CAR Model for Correlated Signal Detection

Nicole A. Lazar, D. Andrew Brown, Gauri S. Datta, 2015, 1512.03769.

Nonparametric variogram modeling with hole effect structure in analyzing the spatial characteristics of fMRI data

Nicole A. Lazar, Yehua Li, N. Lazar, 2015, Journal of Neuroscience Methods.

Some properties of generalized fused lasso and its applications to high dimensional data

Woncheol Jang, Ji Meng Loh, Johan Lim, 2015 .

Assessing the Effect of Individual Data Points on Inference From Empirical Likelihood

Nicole A. Lazar, N. Lazar, 2005 .

Selection of Working Correlation Structure in Generalized Estimating Equations via Empirical Likelihood

Nicole A. Lazar, Jien Chen, N. Lazar, 2012 .

A multiscale analysis of the temporal characteristics of resting-state fMRI data

Cheolwoo Park, Nicole A. Lazar, Andrew Sornborger, 2010, Journal of Neuroscience Methods.

The Big Picture: Big Data Hits the Big Time

Nicole A. Lazar, 2012 .

Regression shrinkage and grouping of highly correlated predictors with HORSES

Woncheol Jang, Ji Meng Loh, Johan Lim, 2013, 1302.0256.

Quantile estimation for discrete data via empirical likelihood

Nicole A. Lazar, Jien Chen, 2010 .

ASA Statement on Statistical Significance and p-Values

Nicole A. Lazar, N. Lazar, R. Wasserstein, 2020 .