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Name: JASA Reproducibility Initiative
Type: User
Company: American Statistical Association
Bio: Code repository supporting the Reproducibility Initiative of the Journal of the American Statistical Association
Name: JASA Reproducibility Initiative
Type: User
Company: American Statistical Association
Bio: Code repository supporting the Reproducibility Initiative of the Journal of the American Statistical Association
A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression, by Jonathan P. Williams, Curtis B. Storlie, Terry M. Therneau, Clifford R. Jack Jr, Jan Hannig
A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis, by Amanda F. Mejia, Yu (Ryan) Yue, David Bolin, Finn Lindgren, Martin A. Lindquist
A Bayesian Latent Class Model to Predict Kidney Obstruction in the Absence of Gold Standard, by Changgee Chang, Jeong Hoon Jang, Amita Manatunga, Andrew T. Taylor, Qi Long
A Bayesian State-Space Approach to Mapping Directional Brain Networks, by Huazhang Li , Yaotian Wang , Guofen Yan , Yinge Sun , Seiji Tanabe , Chang-Chia Liu , Mark Quigg , Tingting Zhang
A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies, by Zhonghua Liu & Xihong Lin
A Hierarchical Framework for Correcting Under-Reporting in Count Data, by Oliver Stoner, Theo Economou, Gabriela Drummond Marques da Silva
A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation, by Gregory P. Bopp, Benjamin A. Shaby, Raphaël Huser
A Hierarchical Model of Nonhomogeneous Poisson Processes for Twitter Retweets, by Clement Lee, Darren J. Wilkinson
A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games, by Trambak Banerjee, Gourab Mukherjee, Shantanu Dutta, Pulak Ghosh
A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating External Information, by Ting-Huei Chen , Nilanjan Chatterjee , Maria Teresa Landi , Jianxin Shi
A Spatio-Temporal Modeling Framework for Surveillance Data of Multiple Infectious Pathogens With Small Laboratory Validation Sets, by Xueying Tang, Yang Yang, Hong-Jie Yu, Qiao-Hong Liao, Nikolay Bliznyuk
Reproducibility materials for "An efficient surrogate model for emulation and physics extraction of large eddy simulations" by Simon Mak, Chih-Li Sung, Xingjian Wang, Shiang-Ting Yeh, Yu-Hung Chang, V. Roshan Joseph, Vigor Yang & C. F. Jeff Wu
Automatic Detection and Uncertainty Quantification of Landmarks on Elastic Curves, by Justin Strait, Oksana Chkrebtii, Sebastian Kurtek
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology, by Abhra Sarkar, Debdeep Pati, Bani K. Mallick, Raymond J. Carroll
Bayesian Double Feature Allocation for Phenotyping With Electronic Health Records, by Yang Ni, Peter Müller, Yuan Ji
Bayesian Graphical Compositional Regression for Microbiome Data, by Jialiang Mao, Yuhan Chen, Li Ma
Reproducibility materials for "Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer Proteogenomics" by Yang Ni, Francesco C. Stingo, Min Jin Ha, Rehan Akbani & Veerabhadran Baladandayuthapani
Bayesian Joint Modeling of Multiple Brain Functional Networks, by Joshua Lukemire, Suprateek Kundu, Giuseppe Pagnoni, Ying Guo
Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals, by Qian Guan, Brian J. Reich, Eric B. Laber, Dipankar Bandyopadhyay
Bayesian Optimal Design for Ordinary Differential Equation Models With Application in Biological Science, by Antony M. Overstall, David C. Woods, Ben M. Parker
Code supporting "A Bayesian Phase I/II Trial Design for Immunotherapy"
Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment, by Chris J. Oates, Jon Cockayne, Robert G. Aykroyd, Mark Girolami
Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data, by Sharmistha Guha, Abel Rodriguez
Bayesian Scalar on Image Regression With Nonignorable Nonresponse, by Xiangnan Feng, Tengfei Li, Xinyuan Song, Hongtu Zhu
Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults, by Giorgio Paulon, Fernando Llanos, Bharath Chandrasekaran, Abhra Sarkar
Reproducibility materials for "Bayesian Semiparametric Mixed Effects Markov Models with Application to Vocalization Syntax" by Abhra Sarkar, Jonathan Chabout, Joshua Jones Macopson, Erich D. Jarvis & David B. Dunson
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.