Search Results - "Pospisil, Taylor"

Immunogenic and inflammatory responses to citrullinated proteins are enhanced following modification with malondialdehyde-acetaldehyde adducts by 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.

“…•Post translational modification of proteins increase immune response.•Co-modification of MAA and Citrulline enhance the cellular responses.•Scavenger…”
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ABC-CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations by Izbicki, Rafael, Lee, Ann B., Pospisil, Taylor

“…Approximate Bayesian computation (ABC) is typically used when the likelihood is either unavailable or intractable but where data can be simulated under…”
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ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations by Izbicki, Rafael, Lee, Ann B, Pospisil, Taylor

“…Journal of Computational and Graphical Statistics, 2019 (https://www.tandfonline.com/doi/abs/10.1080/10618600.2018.1546594) Approximate Bayesian Computation…”
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Non-Gaussianity in the weak lensing correlation function likelihood – implications for cosmological parameter biases by Lin, Chien-Hao, Harnois-Déraps, Joachim, Eifler, Tim, Pospisil, Taylor, Mandelbaum, Rachel, Lee, Ann B, Singh, Sukhdeep

“…ABSTRACT We study the significance of non-Gaussianity in the likelihood of weak lensing shear two-point correlation functions, detecting significantly non-zero…”
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Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference by 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…”
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Non-Gaussianity in the Weak Lensing Correlation Function Likelihood -- Implications for Cosmological Parameter Biases by 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…”
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(f)RFCDE: Random Forests for Conditional Density Estimation and Functional Data by 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…”
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RFCDE: Random Forests for Conditional Density Estimation by 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…”
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Going Deep: Models for Continuous-Time Within-Play Valuation of Game Outcomes in American Football with Tracking Data by 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…”
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Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations by Dalmasso, Niccolò, Lee, Ann B, Izbicki, Rafael, Pospisil, Taylor, Kim, Ilmun, Lin, Chieh-An

“…Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108, 3349-3361, 2020 Complex phenomena in engineering…”
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Augmenting Adjusted Plus-Minus in Soccer with FIFA Ratings by Matano, Francesca, Richardson, Lee F, Pospisil, Taylor, Eubanks, Collin, Qin, Jining

“…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…”
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