Zobrazeno 1 - 10
of 11 134
pro vyhledávání: '"A. Hastie"'
Autor:
Yang, James, Hastie, Trevor
We develop theoretical results that establish a connection across various regression methods such as the non-negative least squares, bounded variable least squares, simplex constrained least squares, and lasso. In particular, we show in general that
Externí odkaz:
http://arxiv.org/abs/2410.03014
We examine a special case of the multilevel factor model, with covariance given by multilevel low rank (MLR) matrix~\cite{parshakova2023factor}. We develop a novel, fast implementation of the expectation-maximization (EM) algorithm, tailored for mult
Externí odkaz:
http://arxiv.org/abs/2409.12067
Autor:
Ghandwani, Disha, Hastie, Trevor
Recommender systems have become crucial in the modern digital landscape, where personalized content, products, and services are essential for enhancing user experience. This paper explores statistical models for recommender systems, focusing on cross
Externí odkaz:
http://arxiv.org/abs/2408.05896
Publikováno v:
Earth System Dynamics, Vol 12, Pp 37-62 (2021)
As the second largest area of contiguous tropical rainforest and second largest river basin in the world, the Congo Basin has a significant role to play in the global carbon (C) cycle. For the present day, it has been shown that a significant proport
Externí odkaz:
https://doaj.org/article/0b4d35cbd8be490cb0cc0cac20edc297
Autor:
S. Apers, G. J. M. De Lannoy, A. J. Baird, A. R. Cobb, G. C. Dargie, J. del AguilaPasquel, A. Gruber, A. Hastie, H. Hidayat, T. Hirano, A. M. Hoyt, A. J. Jovani‐Sancho, A. Katimon, A. Kurnain, R. D. Koster, M. Lampela, S. P. P. Mahanama, L. Melling, S. E. Page, R. H. Reichle, M. Taufik, J. Vanderborght, M. Bechtold
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 3, Pp n/a-n/a (2022)
Abstract Tropical peatlands are among the most carbon‐dense ecosystems on Earth, and their water storage dynamics strongly control these carbon stocks. The hydrological functioning of tropical peatlands differs from that of northern peatlands, whic
Externí odkaz:
https://doaj.org/article/60a763c6e9fb4ef788fe810a7a31a2a2
Autor:
Craig, Erin, Keyes, Timothy, Sarno, Jolanda, Zaslavsky, Maxim, Nolan, Garry, Davis, Kara, Hastie, Trevor, Tibshirani, Robert
Single-cell datasets often lack individual cell labels, making it challenging to identify cells associated with disease. To address this, we introduce Mixture Modeling for Multiple Instance Learning (MMIL), an expectation maximization method that ena
Externí odkaz:
http://arxiv.org/abs/2406.08322
Autor:
Yang, James, Hastie, Trevor
We develop fast and scalable algorithms based on block-coordinate descent to solve the group lasso and the group elastic net for generalized linear models along a regularization path. Special attention is given when the loss is the usual least square
Externí odkaz:
http://arxiv.org/abs/2405.08631
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 2961-2982 (2019)
The importance of northern peatlands in the global carbon cycle has been recognized, especially for long-term changes. Yet, the complex interactions between climate and peatland hydrology, carbon storage, and area dynamics make it challenging to repr
Externí odkaz:
https://doaj.org/article/36cfafced10f44e181f9109956b8f520
Recent genome-wide association studies (GWAS) have uncovered the genetic basis of complex traits, but show an under-representation of non-European descent individuals, underscoring a critical gap in genetic research. Here, we assess whether we can im
Externí odkaz:
http://arxiv.org/abs/2404.17626
Financial firms often rely on fundamental factor models to explain correlations among asset returns and manage risk. Yet after major events, e.g., COVID-19, analysts may reassess whether existing risk models continue to fit well: specifically, after
Externí odkaz:
http://arxiv.org/abs/2404.15017