Michael Weylandt
Michael Weylandt
Zicklin School of Business, Baruch College, CUNY
Zweryfikowany adres z baruch.cuny.edu - Strona główna
Cytowane przez
Cytowane przez
Sparse and functional principal components analysis
GI Allen, M Weylandt
2019 IEEE Data Science Workshop (DSW), 11-16, 2019
Dynamic visualization and fast computation for convex clustering via algorithmic regularization
M Weylandt, J Nagorski, GI Allen
Journal of Computational and Graphical Statistics 29 (1), 87-96, 2020
HepatoScore‐14: measures of biological heterogeneity significantly improve prediction of hepatocellular carcinoma risk
JS Morris, MM Hassan, YE Zohner, Z Wang, L Xiao, A Rashid, A Haque, ...
Hepatology 73 (6), 2278-2292, 2021
A Tutorial on Hidden Markov Models using Stan
L Damiano, B Peterson, M Weylandt
StanCon 2018, 2018
Splitting methods for convex bi-clustering and co-clustering
M Weylandt
2019 IEEE Data Science Workshop (DSW), 237-242, 2019
To the fairness frontier and beyond: Identifying, quantifying, and optimizing the fairness-accuracy pareto frontier
CO Little, M Weylandt, GI Allen
arXiv preprint arXiv:2206.00074, 2022
Network clustering for latent state and changepoint detection
M Navarro, GI Allen, M Weylandt
arXiv preprint arXiv:2111.01273, 2021
Automatic registration and clustering of time series
M Weylandt, G Michailidis
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Multi-rank sparse and functional PCA manifold optimization and iterative deflation techniques
M Weylandt
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
Simultaneous grouping and denoising via sparse convex wavelet clustering
M Weylandt, TM Roddenberry, GI Allen
2021 IEEE Data Science and Learning Workshop (DSLW), 1-8, 2021
Multivariate analysis for multiple network data via semi-symmetric tensor pca
M Weylandt, G Michailidis
arXiv preprint arXiv:2202.04719, 2022
Computational and Statistical Methodology for Highly Structured Data
RM Weylandt Jr
Rice University, 2020
Beyond PCA: Additional Dimension Reduction Techniques to Consider in the Development of Climate Fingerprints
M Weylandt, LP Swiler
Journal of Climate 37 (5), 1723-1735, 2024
A Coupled CP Decomposition for Principal Components Analysis of Symmetric Networks.
M Weylandt, G Michailidis
CoRR, 2022
Sparse Partial Least Squares for Coarse Noisy Graph Alignment
M Weylandt, G Michailidis, TM Roddenberry
2021 IEEE Statistical Signal Processing Workshop (SSP), 561-565, 2021
Ecological correlates of reproductive status in a guild of Afrotropical understory trees
AP Drager, M Weylandt, G Chuyong, D Kenfack, DW Thomas, ...
bioRxiv, 2021.01. 14.426416, 2021
Automatic Registration and Convex Clustering of Time Series.
M Weylandt, G Michailidis
CoRR, 2020
Multivariate Modeling of Natural Gas Spot Trading Hubs Incorporating Futures Market Realized Volatility
M Weylandt, Y Han, KB Ensor
arXiv preprint arXiv:1907.10152, 2019
Bayesian Inference and Volatility Modeling Using Stan
L Damiano, M Weylandt
Regime Switching and Technical Trading with Dynamic Bayesian Networks in High-Frequency Stock Markets
L Damiano, B Peterson, M Weylandt
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