Journal of Behavioral Data Science

Recently accepted

Zhenqiu (Laura) Lu & Zhiyong Zhang (2021). Bayesian Approach to Non-ignorable Missingness in Latent Growth Models (May 30, 2021)

Zhiyong Zhang (2021). A Note on Wishart and Inverse Wishart Priors for Covariance Matrix (Apr 4, 2021)

Published

Volume 1 Number 1 (May 2021)

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Zhiyong Zhang and Danyang Zhang (2021). What is Data Science? An Operational Definition based on Text Mining of Data Science Curricula, 1(1), 1-16.

B. G. Manjunath and Stefan Wilhelm (2021). Moments Calculation for the Doubly Truncated Multivariate Normal Density, 1(1), 17-33.

Haiyan Liu and Zhiyong Zhang (2021). Birds of a Feather Flock Together and Opposites Attract: The Nonlinear Relationship Between Personality and Friendship, 1(1), 34-52.

Xing Tong (2021). Semiparametric Bayesian Methods in Growth Curve Modeling for Nonnormal Data Analysis, 1(1), 53-84.

Alexander P. Christensen and Hudson Golino (2021). Factor or Network Model? Predictions From Neural Networks, 1(1), 85-126.

Danielle M. Rodgers, Ross Jacobucci and Kevin J. Grimm (2021). A Multiple Imputation Approach for Handling Missing Data in Classification and Regression Trees, 1(1), 127-153.

Rohan Sukumaran, Parth Patwa, Sethuraman T V, Sheshank Shankar, Rishank Kanaparti , Joseph Bae, Yash Mathur , Abhishek Singh, Ayush Chopra , Myungsun Kang, Priya Ramaswamy and Ramesh Raskar (2021). COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms, 1(1), 154-169.

Kévin Allan Sales Rodrigues (2021). Book Review: Mastering Software Development in R, 1(1), 170-172.