Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Pospisil, Taylor P."'
Autor:
Dalmasso, Niccolò, Pospisil, Taylor, Lee, Ann B., Izbicki, Rafael, Freeman, Peter E., Malz, Alex I.
It is well known in astronomy that propagating non-Gaussian prediction uncertainty in photometric redshift estimates is key to reducing bias in downstream cosmological analyses. Similarly, likelihood-free inference approaches, which are beginning to
Externí odkaz:
http://arxiv.org/abs/1908.11523
Autor:
Pospisil, Taylor, Lee, Ann B.
Random forests is a common non-parametric regression technique which performs well for mixed-type unordered data and irrelevant features, while being robust to monotonic variable transformations. Standard random forests, however, do not efficiently h
Externí odkaz:
http://arxiv.org/abs/1906.07177
Autor:
Yurko, Ronald, Matano, Francesca, Richardson, Lee F., Granered, Nicholas, Pospisil, Taylor, Pelechrinis, Konstantinos, Ventura, Samuel L.
Continuous-time assessments of game outcomes in sports have become increasingly common in the last decade. In American football, only discrete-time estimates of play value were possible, since the most advanced public football datasets were recorded
Externí odkaz:
http://arxiv.org/abs/1906.01760
Publikováno v:
Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108, 3349-3361, 2020
Complex phenomena in engineering and the sciences are often modeled with computationally intensive feed-forward simulations for which a tractable analytic likelihood does not exist. In these cases, it is sometimes necessary to estimate an approximate
Externí odkaz:
http://arxiv.org/abs/1905.11505
Autor:
Lin, Chien-Hao, Harnois-Déraps, Joachim, Eifler, Tim, Pospisil, Taylor, Mandelbaum, Rachel, Lee, Ann B., Singh, Sukhdeep
We study the significance of non-Gaussianity in the likelihood of weak lensing shear two-point correlation functions, detecting significantly non-zero skewness and kurtosis in one-dimensional marginal distributions of shear two-point correlation func
Externí odkaz:
http://arxiv.org/abs/1905.03779
In basketball and hockey, state-of-the-art player value statistics are often variants of Adjusted Plus-Minus (APM). But APM hasn't had the same impact in soccer, since soccer games are low scoring with a low number of substitutions. In soccer, perhap
Externí odkaz:
http://arxiv.org/abs/1810.08032
Publikováno v:
Journal of Computational and Graphical Statistics, 2019 (https://www.tandfonline.com/doi/abs/10.1080/10618600.2018.1546594)
Approximate Bayesian Computation (ABC) is typically used when the likelihood is either unavailable or intractable but where data can be simulated under different parameter settings using a forward model. Despite the recent interest in ABC, high-dimen
Externí odkaz:
http://arxiv.org/abs/1805.05480
Autor:
Pospisil, Taylor, Lee, Ann B.
Random forests is a common non-parametric regression technique which performs well for mixed-type data and irrelevant covariates, while being robust to monotonic variable transformations. Existing random forest implementations target regression or cl
Externí odkaz:
http://arxiv.org/abs/1804.05753
Autor:
Thiele, Geoffrey M., Duryee, Michael J., Hunter, Carlos D., England, Bryant R., Fletcher, Benjamin S., Daubach, Eric C., Pospisil, Taylor P., Klassen, Lynell W., Mikuls, Ted R.
Publikováno v:
In International Immunopharmacology June 2020 83
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