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Aβ-induced vulnerability propagates via the brain's default mode network

Nature communications, 2019-06, Vol.10 (1), p.2353-2353, Article 2353

2019

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A self-organizing state-space-model approach for parameter estimation in hodgkin-huxley-type models of single neurons

PLoS computational biology, 2012-03, Vol.8 (3), p.e1002401-e1002401

2012

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A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data

Scientific data, 2023-07, Vol.10 (1), p.493-493, Article 493

2023

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The impact of imputation quality on machine learning classifiers for datasets with missing values

Communications medicine, 2023-10, Vol.3 (1), p.139-139, Article 139

2023

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Toward Automatic Model Comparison: An Adaptive Sequential Monte Carlo Approach

Journal of computational and graphical statistics, 2016-07, Vol.25 (3), p.701-726

2016

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Positron Emission Tomography Partial Volume Correction: Estimation and Algorithms

Journal of cerebral blood flow and metabolism, 2002-08, Vol.22 (8), p.1019-1034

2002

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Common methodological pitfalls in ICI pneumonitis risk prediction studies

Frontiers in immunology, 2023-09, Vol.14, p.1228812-1228812

2023

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TESTS FOR SEPARABILITY IN NONPARAMETRIC COVARIANCE OPERATORS OF RANDOM SURFACES

The Annals of statistics, 2017-08, Vol.45 (4), p.1431-1461

2017

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A Functional Approach to Deconvolve Dynamic Neuroimaging Data

Journal of the American Statistical Association, 2016-01, Vol.111 (513), p.1-13

2016

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Characterizing fundamental frequency in Mandarin: A functional principal component approach utilizing mixed effect models

The Journal of the Acoustical Society of America, 2012-06, Vol.131 (6), p.4651-4664

2012

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Discussion of LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures

Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.18-19

2023

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Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging

Journal of the American Statistical Association, 2020-07, Vol.115 (531), p.1420-1434

2020

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Linguistic pitch analysis using functional principal component mixed effect models

Applied statistics, 2010-03, Vol.59 (2), p.297-317

2010

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Adaptive Multivariate Global Testing

Journal of the American Statistical Association, 2014-06, Vol.109 (506), p.613-623

2014

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A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1081-1096

2019

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Smoothing dynamic positron emission tomography time courses using functional principal components

NeuroImage (Orlando, Fla.), 2009-08, Vol.47 (1), p.184-193

2009

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Distances and inference for covariance operators

Biometrika, 2014-06, Vol.101 (2), p.409-422

2014

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Representation and reconstruction of covariance operators in linear inverse problems

Inverse problems, 2020-08, Vol.36 (8), p.85002

2020

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The Role of Additional Information in Option Pricing: Estimation Issues for the State Space Model

Computational economics, 2010-12, Vol.36 (4), p.283-307

2010

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Modelling trigonometric seasonal components for monthly economic time series

Applied economics, 2013-07, Vol.45 (21), p.3024-3034

2013

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The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages

Journal of the Royal Statistical Society Series C: Applied Statistics, 2018-11, Vol.67 (5), p.1103-1145

2018

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EVALUATING STATIONARITY VIA CHANGE-POINT ALTERNATIVES WITH APPLICATIONS TO FMRI DATA

The annals of applied statistics, 2012-12, Vol.6 (4), p.1906-1948

2012

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Likelihood Ratio Tests With Three-Way Tables

Journal of the American Statistical Association, 2010-06, Vol.105 (490), p.740-749

2010

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Pharmacokinetic modelling of the anti-malarial drug artesunate and its active metabolite dihydroartemisinin

Computer methods and programs in biomedicine, 2013-10, Vol.112 (1), p.1-15

2013

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Detecting changes in the covariance structure of functional time series with application to fMRI data

Econometrics and statistics, 2021-04, Vol.18, p.44-62

2021

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Aβ-induced vulnerability propagates via the brain's default mode network

A self-organizing state-space-model approach for parameter estimation in hodgkin-huxley-type models of single neurons

A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data

The impact of imputation quality on machine learning classifiers for datasets with missing values

Toward Automatic Model Comparison: An Adaptive Sequential Monte Carlo Approach

Positron Emission Tomography Partial Volume Correction: Estimation and Algorithms

Common methodological pitfalls in ICI pneumonitis risk prediction studies

TESTS FOR SEPARABILITY IN NONPARAMETRIC COVARIANCE OPERATORS OF RANDOM SURFACES

A Functional Approach to Deconvolve Dynamic Neuroimaging Data

Characterizing fundamental frequency in Mandarin: A functional principal component approach utilizing mixed effect models

Discussion of LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures

Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging

Linguistic pitch analysis using functional principal component mixed effect models

Adaptive Multivariate Global Testing

A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain

Smoothing dynamic positron emission tomography time courses using functional principal components

Distances and inference for covariance operators

Representation and reconstruction of covariance operators in linear inverse problems

The Role of Additional Information in Option Pricing: Estimation Issues for the State Space Model

Modelling trigonometric seasonal components for monthly economic time series

The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages

EVALUATING STATIONARITY VIA CHANGE-POINT ALTERNATIVES WITH APPLICATIONS TO FMRI DATA

Likelihood Ratio Tests With Three-Way Tables

Pharmacokinetic modelling of the anti-malarial drug artesunate and its active metabolite dihydroartemisinin

Detecting changes in the covariance structure of functional time series with application to fMRI data

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