Jiguo Cao

发表

A Bayesian spatial model for imaging genetics.

Liangliang Wang, Farouk S. Nathoo, Yin Song, 2019, Biometrics.

Estimating the intensity of ward admission and its effect on emergency department access block.

Jiguo Cao, Janet Wiles, Wei Luo, 2013, Statistics in medicine.

Penalized Nonlinear Least Squares Estimation of Time-Varying Parameters in Ordinary Differential Equations

Jiguo Cao, Hulin Wu, Jianhua Z. Huang, 2012, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

A method to characterize the learning curve for performance of a fundamental laparoscopic simulator task: defining "learning plateau" and "learning rate".

G. Fried, L. Feldman, Amin Andalib, 2009, Surgery.

Functional principal component analysis of glomerular filtration rate curves after kidney transplant

Liangliang Wang, Jiguo Cao, J. Dong, 2018, Statistical methods in medical research.

Joint modelling for organ transplantation outcomes for patients with diabetes and the end-stage renal disease

Shijia Wang, Liangliang Wang, Jiguo Cao, 2018, Statistical methods in medical research.

Sparse estimation of historical functional linear models with a nested group bridge approach

Jiguo Cao, Xiaolei Xun, Tianyu Guan, 2019, Canadian Journal of Statistics.

STATISTICS AND NONLINEAR DYNAMICS IN BIOLOGY AND MEDICINE

G. Hooker, E. Ionides, Jiguo Cao, 2014 .

Parameter Estimation of Partial Differential Equation Models

Jiguo Cao, Arnab Maity, Raymond J. Carroll, 2013, Journal of the American Statistical Association.

Generalized profiling method and the applications to adaptive penalized smoothing, generalized semiparametric additive models and estimating differential equations

Jiguo Cao, 2006 .

Systems Mapping of Complex Traits Using Kinetic Models

Zhongwen Huang, J. Gai, R. Wu, 2010 .

Estimation of Sparse Functional Additive Models with Adaptive Group LASSO

Liangliang Wang, Jiguo Cao, Peijun Sang, 2020 .

Supplementary material for the manuscript entitled “ Interpretable Functional Principal Component Analysis ”

Liangliang Wang, Jiguo Cao, Zhenhua Lin, 2015 .

Locally Sparse Estimator for Functional Linear Regression Models

Liangliang Wang, Haonan Wang, Jiguo Cao, 2017 .

A Smooth and Locally Sparse Estimator for Functional Linear Regression via Functional SCAD Penalty

Liangliang Wang, Haonan Wang, Jiguo Cao, 2015, 1510.08547.

Functional Mapping of Multiple Dynamic Traits

Zhongwen Huang, J. Gai, R. Wu, 2016, 1605.06837.

Estimating Parameters in Delay Differential Equation Models

Liangliang Wang, Jiguo Cao, 2012 .

Estimating Historical Functional Linear Models with a Nested Group Bridge Approach

Jiguo Cao, Zhenhua Lin, Tianyu Guan, 2018, 1809.05091.

Predicting time-to-conversion for dementia of Alzheimer's type using multi-modal deep survival analysis

Alzheimer's Disease Neuroimaging Initiative, M. Beg, Jiguo Cao, 2022, Neurobiology of Aging.

Standardisation and application of the single-breath determination of nitric oxide uptake in the lung

Jiguo Cao, R. Naeije, G. Zavorsky, 2017, European Respiratory Journal.

Automatic Search Interval for Smoothing Parameter in Penalized Splines

Jiguo Cao, Zheyuan Li, 2022 .

Reference values of pulmonary diffusing capacity for nitric oxide in an adult population.

Jiguo Cao, G. Zavorsky, J. Murias, 2008, Nitric oxide : biology and chemistry.

Neuroimaging feature extraction using a neural network classifier for imaging genetics

Michelle F. Miranda, M. Beg, F. Nathoo, 2022, BMC Bioinformatics.

Estimating mixed-effects differential equation models

Jiguo Cao, L. Wang, J. O. Ramsay, 2012, Statistics and Computing.

Mastery versus the standard proficiency target for basic laparoscopic skill training: effect on skill transfer and retention

Jiguo Cao, Gerald M. Fried, G. Fried, 2011, Surgical Endoscopy.

Dynamic prediction with time‐dependent marker in survival analysis using supervised functional principal component analysis

Jiguo Cao, Shu Jiang, Haolun Shi, 2022, Statistics in medicine.

Modeling spatiotemporal trends in the productivity of North Pacific Salmon

O. Chkrebtii, Jiguo Cao, 2013 .

A Joint Estimation Approach to Sparse Additive Ordinary Differential Equations

Jiguo Cao, Nansong Zhang, Muye Nanshan, 2022, 2208.08714.

Neural Networks for Scalar Input and Functional Output

Jiguo Cao, Cédric Beaulac, Sidi Wu, 2022, ArXiv.

Parameter Cascading for High Dimensional Models

J. Ramsay, G. Hooker, Jiguo Cao, 2008 .

Deep Learning with Functional Inputs

Jiguo Cao, Barinder Thind, Kevin Multani, 2020, Journal of Computational and Graphical Statistics.

Computational Efficiency and Precision for Replicated-Count and Batch-Marked Hidden Population Models

L. Elliott, Jiguo Cao, L. Cowen, 2022, Journal of agricultural, biological, and environmental statistics.

Random Competing Risks Forests for Large Data

Jiguo Cao, J. Therrien, 2022, 2207.11590.

Deep Learning With Functional Inputs

Jiguo Cao, Barinder Thind, Kevin Multani, 2020, J. Comput. Graph. Stat..

Sparse functional partial least squares regression with a locally sparse slope function

Jiguo Cao, Zhenhua Lin, Tianyu Guan, 2022, Statistics and Computing.

Functional single-index quantile regression models

Jiguo Cao, Peijun Sang, 2020, Statistics and Computing.

Automatic search intervals for the smoothing parameter in penalized splines

Jiguo Cao, Zheyuan Li, 2022, Statistics and Computing.

Estimating time-varying directed neural networks

Jiguo Cao, Haixu Wang, 2020, Statistics and Computing.

Estimating curves and derivatives with parametric penalized spline smoothing

Liangliang Wang, Jiguo Cao, Jing Cai, 2011, Statistics and Computing.

Estimating functional single index models with compact support

Liangliang Wang, Jiguo Cao, Yunlong Nie, 2022, Environmetrics.

Functional Nonlinear Learning

Jiguo Cao, Haixu Wang, 2022, Journal of Computational and Graphical Statistics.

Supervised functional principal component analysis

Liangliang Wang, Jiguo Cao, Yunlong Nie, 2017, Statistics and Computing.

Analysis of Variance of Integro-Differential Equations with Application to Population Dynamics of Cotton Aphids

Jianhua Z. Huang, Jiguo Cao, Xueying Wang, 2013, Journal of Agricultural, Biological, and Environmental Statistics.

Early diagnosis of Alzheimer’s disease on ADNI data using novel longitudinal score based on functional principal component analysis

Jiguo Cao, Haolun Shi, Yunlong Nie, 2021, Journal of medical imaging.

Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database

Lei Wang, Mirza Faisal Beg, Karteek Popuri, 2018, Human brain mapping.

Functional Principal Component Analysis of GFR Curves after Kidney Transplant

Liangliang Wang, Jiguo Cao, J. Dong, 2017 .

Functional single-index quantile regression models

Jiguo Cao, Peijun Sang, Jiguo Cao, 2020, Stat. Comput..

Reference equations for pulmonary diffusing capacity using segmented regression show similar predictive accuracy as GAMLSS models

Jiguo Cao, Gerald Stanley Zavorsky, 2022, BMJ Open Respiratory Research.

Finding Common Modules in a Time-Varying Network with Application to the Drosophila Melanogaster Gene Regulation Network

Jiguo Cao, Jingfei Zhang, Jingfei Zhang, 2017 .

Systems mapping: how to improve the genetic mapping of complex traits through design principles of biological systems

Jiguo Cao, Rongling Wu, Zhong Wang, 2011, BMC Systems Biology.

Arterial versus capillary blood gases: A meta-analysis

N. Mayo, Jiguo Cao, J. Murias, 2007, Respiratory Physiology & Neurobiology.

Estimating Truncated Functional Linear Models With a Nested Group Bridge Approach

Jiguo Cao, Zhenhua Lin, Tianyu Guan, 2020, Journal of Computational and Graphical Statistics.

Stopping time detection of wood panel compression: A functional time‐series approach

H. Shang, Jiguo Cao, J. Cao, 2022, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Modeling and Prediction of Multiple Correlated Functional Outcomes

D. Ruppert, R. Carroll, Jiguo Cao, 2018, Journal of agricultural, biological, and environmental statistics.

Parametric functional principal component analysis

Jiguo Cao, Liangliang Wang, Peijun Sang, 2017, Biometrics.

Jointly modelling multiple transplant outcomes by a competing risk model via functional principal component analysis

Liangliang Wang, Jiguo Cao, J. Dong, 2021, Journal of applied statistics.

Estimating Parameters in Delay Differential Equation Models

Liangliang Wang, Jiguo Cao, Jiguo Cao, 2011, Journal of Agricultural, Biological, and Environmental Statistics.

Functional Mapping of Multiple Dynamic Traits

Zhongwen Huang, Liangliang Wang, Jiguo Cao, 2016, Journal of Agricultural, Biological and Environmental Statistics.

Exploring Spatial and Temporal Variations of Cadmium Concentrations in Pacific Oysters from British Columbia

Jiguo Cao, L. Bendell, C. Feng, 2011, Biometrics.

A functional proportional hazard cure rate model for interval-censored data

Jiguo Cao, Haolun Shi, Da Ma, 2021, Statistical methods in medical research.

Robust penalized M‐estimation for function‐on‐function linear regression

Jiguo Cao, L. Xue, Xiong Cai, 2021, Stat.

Modeling gene regulation networks using ordinary differential equations.

Jiguo Cao, Hongyu Zhao, Xin Qi, 2012, Methods in molecular biology.

Estimating dynamic models for gene regulation networks

Jiguo Cao, Hongyu Zhao, Hongyu Zhao, 2008, Bioinform..

Generalized profiling estimation for global and adaptive penalized spline smoothing

Jiguo Cao, James O. Ramsay, J. Ramsay, 2009, Comput. Stat. Data Anal..

uTPI: A utility‐based toxicity probability interval design for phase I/II dose‐finding trials

Jiguo Cao, Ying Yuan, Haolun Shi, 2021, Statistics in medicine.

Sparse estimation for functional semiparametric additive models

Jiguo Cao, Peijun Sang, Richard A. Lockhart, 2018, J. Multivar. Anal..

Recovering the underlying trajectory from sparse and irregular longitudinal data

Jiguo Cao, Yunlong Nie, Yuping Yang, 2018, Canadian Journal of Statistics.

Lightning‐caused forest fire risk in Northwestern Ontario, Canada, is increasing and associated with anomalies in fire weather

Jiguo Cao, Douglas G. Woolford, Charmaine B. Dean, 2014 .

Automated Load Curve Data Cleansing in Power Systems

Jiguo Cao, Ke Wang, Wenyuan Li, 2010, IEEE Transactions on Smart Grid.

Spectral Dynamic Causal Modelling of Resting-State fMRI: Relating Effective Brain Connectivity in the Default Mode Network to Genetics

Yunlong Nie, Liangliang Wang, Farouk S. Nathoo, 2019, 1901.09975.

A Randomised Comparative Study Evaluating Learning Curves of Novices in a Basic Single-Incision Laparoscopic Surgery Task

A. Darzi, T. Athanasiou, S. Purkayastha, 2013, Journal of Gastrointestinal Surgery.

Sex is not everything: the role of gender in early performance of a fundamental laparoscopic skill

Jiguo Cao, Gerald M. Fried, G. Fried, 2011, Surgical Endoscopy.

Spectral dynamic causal modelling of resting-state fMRI: an exploratory study relating effective brain connectivity in the default mode network to genetics

Yunlong Nie, Liangliang Wang, Jie Wang, 2020, Statistical applications in genetics and molecular biology.

Estimating Conditional Intensity Function of a Neural Spike Train by Particle Markov Chain Monte Carlo and Smoothing

Liangliang Wang, Jiguo Cao, 2017 .

Functional joint models for chronic kidney disease in kidney transplant recipients

Jiguo Cao, J. Dong, J. Gill, 2021, Statistical methods in medical research.

Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease

M. Beg, Jiguo Cao, Lei Wang, 2022, Journal of Alzheimer's disease : JAD.

Sparse functional principal component analysis in a new regression framework

Jiguo Cao, Yunlong Nie, Jiguo Cao, 2020, Comput. Stat. Data Anal..

Supervised functional principal component analysis

Jiguo Cao, Baisen Liu, Yunlong Nie, 2018, Stat. Comput..

Analysis of Variance of Integro-Differential Equations with Application to Population Dynamics of Cotton Aphids

Jiguo Cao, Jianhua Z. Huang, Xueying Wang, 2013 .

Blockwise empirical likelihood for time series of counts

Jiguo Cao, Rongning Wu, Jiguo Cao, 2011, J. Multivar. Anal..

Short-term impacts of ambient fine particulate matter on emergency department visits: Comparative analysis of three exposure metrics.

H. Ho, Jiguo Cao, Yunquan Zhang, 2020, Chemosphere.

A Functional Single Index Model

Jiguo Cao, Yanyuan Ma, Seungchul Baek, 2020 .

High-Dimensional Classification for Brain Decoding

Farouk S. Nathoo, Jiguo Cao, Ryan Budney, 2015, 1504.02800.

Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations

Jiguo Cao, Xiaolei Xun, Nansong Zhang, 2022, Comput. Stat. Data Anal..

Identifying regions of interest in mammogram images

G. Colditz, Jiguo Cao, Shu Jiang, 2023, Statistical methods in medical research.

Signal Classification Using Random Forest with Kernels

Jiguo Cao, Guangzhe Fan, Guangzhe Fan, 2010, 2010 Sixth Advanced International Conference on Telecommunications.

Robust Functional Principal Component Analysis Based on a New Regression Framework

Jiguo Cao, Haolun Shi, 2022, Journal of Agricultural, Biological and Environmental Statistics.

Functional L-Optimality Subsampling for Massive Data

Jiguo Cao, Jinhong You, Hua Liu, 2021, 2104.03446.

Supervised two‐dimensional functional principal component analysis with time‐to‐event outcomes and mammogram imaging data

G. Colditz, B. Rosner, Jiguo Cao, 2021, Biometrics.

Parameter estimation for differential equations: a generalized smoothing approach

Jiguo Cao, James O. Ramsay, Giles Hooker, 2007 .

Estimating a Predator‐Prey Dynamical Model with the Parameter Cascades Method

Jiguo Cao, J. Ramsay, Jiguo Cao, 2008, Biometrics.

Bayesian estimation of ordinary differential equation models when the likelihood has multiple local modes

Jiguo Cao, Baisen Liu, Liangliang Wang, 2018, Monte Carlo Methods Appl..

An S-Plus function to calculate relative risks and adjusted means for regression models using natural splines

Jiguo Cao, Mark S. Goldberg, Marie-France Valois, 2006, Comput. Methods Programs Biomed..

General P-Splines for Non-Uniform B-Splines

Jiguo Cao, Zheyuan Li, Jiguo Cao, 2022, 2201.06808.

Estimating varying coefficients for partial differential equation models

Jiguo Cao, Raymond J Carroll, Xinyu Zhang, 2017, Biometrics.

Sparse functional partial least squares regression with a locally sparse slope function

Jiguo Cao, Tianyu Guan, K. Groves, 2022, Stat. Comput..

Estimating generalized semiparametric additive models using parameter cascading

Jiguo Cao, Jiguo Cao, 2012, Stat. Comput..

Simultaneous Functional Quantile Regression

Jiguo Cao, Hua Liu, Jinhong You, 2024, Statistica Sinica.

Functional principal component analysis for longitudinal data with informative dropout

Liangliang Wang, Haolun Shi, Jianghu Dong, 2020, Statistics in medicine.

Nonlinear prediction of functional time series

Jiguo Cao, Haixu Wang, 2023, Environmetrics.

Neural networks for scalar input and functional output

Jiguo Cao, Cédric Beaulac, Sidi Wu, 2022, Statistics and Computing.

Interpretable functional principal component analysis

Jiguo Cao, Zhenhua Lin, Liangliang Wang, 2016, Biometrics.

Robust estimation and variable selection for function‐on‐scalar regression

Jiguo Cao, L. Xue, Xiong Cai, 2021, Canadian Journal of Statistics.

Neural Networks as Functional Classifiers pdf

Barinder Thind, Jiguo Cao, Kevin Multani, 2020, ArXiv.

Variable Selection for Multiple Function-on-Function Linear Regression

Jiguo Cao, Xiong Cai, Liugen Xue, 2022 .

Functional data classification for temporal gene expression data with kernel-induced random forests

Jiguo Cao, Guangzhe Fan, Jiheng Wang, 2010, 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Robust Bayesian Functional Principal Component Analysis

Liangliang Wang, Jiguo Cao, Jiarui Zhang, 2023, 2307.09731.

Estimating time-varying directed neural networks

Jiguo Cao, Haixu Wang, 2020, Stat. Comput..

On the selection of ordinary differential equation models with application to predator‐prey dynamical models

Jiguo Cao, Raymond J Carroll, Xinyu Zhang, 2015, Biometrics.

Estimating varying coefficients for partial differential equation models

R. Carroll, Jiguo Cao, Xinyu Zhang, 2017, Biometrics.

Parameter cascades and profiling in functional data analysis

Jiguo Cao, James O. Ramsay, J. Ramsay, 2007, Comput. Stat..

Functional Data Classification with Kernel-Induced Random Forests

Guangzhe Fan, Jiguo Cao, 2009 .

Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates

K. Tsui, Jiguo Cao, Hailiang Wang, 2023, 2305.10054.

Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction

Liangliang Wang, M. Beg, Jiguo Cao, 2022, J. Comput. Graph. Stat..

Appointment scheduling with a quantile objective

Jiguo Cao, Mehmet A. Begen, Peijun Sang, 2021, Comput. Oper. Res..

Unsupervised learning on U.S. weather forecast performance

Jiguo Cao, Ying Yu, Lucas Y. Wu, 2023, Computational Statistics.

Finding Common Modules in a Time-Varying Network with Application to the Drosophila Melanogaster Gene Regulation Network

Jingfei Zhang, Jiguo Cao, 2017 .

Computational Efficiency and Precision for Replicated-Count and Batch-Marked Hidden Population Models

L. Elliott, Jiguo Cao, L. Cowen, 2022, Journal of Agricultural, Biological and Environmental Statistics.

Semiparametric Mixed-Effects Ordinary Differential Equation Models with Heavy-Tailed Distributions

Liangliang Wang, Jiguo Cao, Yunlong Nie, 2021, Journal of Agricultural, Biological and Environmental Statistics.

Bayesian inference of mixed-effects ordinary differential equations models using heavy-tailed distributions

Jiguo Cao, Baisen Liu, Liangliang Wang, 2019, Comput. Stat. Data Anal..

Estimating dynamic models for gene regulation networks

Hongyu Zhao, Jiguo Cao, 2008, Bioinform..

Parking the bus

T. Swartz, Jiguo Cao, Tianyu Guan, 2023, Journal of Quantitative Analysis in Sports.

Estimating curves and derivatives with parametric penalized spline smoothing

Jiguo Cao, Jing Cai, Liangliang Wang, 2012, Stat. Comput..