Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Cosma Rohilla Shalizi"'
Autor:
Cosma Rohilla Shalizi
Publikováno v:
Discrete Mathematics & Theoretical Computer Science, Vol DMTCS Proceedings vol. AB,..., Iss Proceedings (2003)
It is increasingly common to encounter time-varying random fields on networks (metabolic networks, sensor arrays, distributed computing, etc.).This paper considers the problem of optimal, nonlinear prediction of these fields, showing from an informat
Externí odkaz:
https://doaj.org/article/9fe30f879172486e93ead167b9d62b82
Publikováno v:
Atmospheric Measurement Techniques. 15:6819-6836
A suite of generally applicable statistical methods based on empirical bootstrapping is presented for calculating uncertainty and testing the significance of quantitative differences in temperature and/or ice active site densities between ice nucleat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53c3832225700cb45b9e21a424ab196b
https://doi.org/10.5194/amt-15-6819-2022
https://doi.org/10.5194/amt-15-6819-2022
Publikováno v:
Journal of the American Statistical Association. 118:707-718
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, i.e., with a node's network partners being informative about the node's attributes and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0286aaa3ce7d61a5cb36337e8dc08b65
https://doi.org/10.1080/01621459.2021.1953506
https://doi.org/10.1080/01621459.2021.1953506
Autor:
Cosma Rohilla Shalizi, Octavio Mesner, Tamar Krishnamurti, Ann Borders, Elizabeth A. Casman, Alex Davis, Hyagriv N. Simhan, Lauren Keenan-Devlin
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0223319 (2019)
PLoS ONE
PLoS ONE
To identify pathways between stress indicators and adverse pregnancy outcomes, we applied a nonparametric graph-learning algorithm, PC-KCI, to data from an observational prospective cohort study. The Measurement of Maternal Stress study (MOMS) follow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cadf3b8c536b03aff8ea86e49597180
https://doaj.org/article/5962b07d441b43c0ad736fc173e99c0e
https://doaj.org/article/5962b07d441b43c0ad736fc173e99c0e
Publikováno v:
IJCNN
Spatio-temporal data is intrinsically high dimensional, so unsupervised modeling is only feasible if we can exploit structure in the process. When the dynamics are local in both space and time, this structure can be exploited by splitting the global
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c82ecd6817d51574e6460c59fdf7d80b
https://doi.org/10.1109/ijcnn.2017.7966203
https://doi.org/10.1109/ijcnn.2017.7966203
Publikováno v:
SIAM Review. 2009, Vol. 51 Issue 4, p661-703. 43p. 7 Charts, 11 Graphs.
Autor:
Andrew Gelman, Cosma Rohilla Shalizi
Publikováno v:
British Journal of Mathematical and Statistical Psychology. 66:76-80
The main point of our paper was to dispute the commonly held view that Bayesian statistics is or should be an algorithmic, inductive process culminating in the calculation of the posterior probabilities of competing models. Instead, we argued that ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40412eaff3d6c934b8230768d652312f
https://doi.org/10.1111/j.2044-8317.2012.02066.x
https://doi.org/10.1111/j.2044-8317.2012.02066.x
Publikováno v:
Perspectives on Politics. 10:775-779
In Left Turn: How Liberal Bias Distorts The American Mind, Tim Groseclose argues that media effects play a crucial role in American politics. His case rests on three arguments: (1) that journalists tend overwhelmingly to be liberal rather than conser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dad860b1fb6e2a550173d38554dc01a
https://doi.org/10.1017/s1537592712001387
https://doi.org/10.1017/s1537592712001387
Autor:
Andrew Gelman, Cosma Rohilla Shalizi
Publikováno v:
British Journal of Mathematical and Statistical Psychology. 66:8-38
A substantial school in the philosophy of science identies Bayesian inference with inductive inference and even rationality as such, and seems to be strengthened by the rise and practical success of Bayesian statistics. We argue that the most success
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0318da30b3cd70e44d92d034883daf38
https://doi.org/10.1111/j.2044-8317.2011.02037.x
https://doi.org/10.1111/j.2044-8317.2011.02037.x