Výsledky vyhledávání - "Garritt L. Page"

Clustering and Prediction With Variable Dimension Covariates

Autor: Garritt L. Page, Fernando A. Quintana, Peter Müller

Publikováno v: Journal of Computational and Graphical Statistics. 31:466-476

In many applied fields incomplete covariate vectors are commonly encountered. It is well known that this can be problematic when making inference on model parameters, but its impact on prediction performance is less understood. We develop a method ba

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::86f5bae00da3d53957737975af5dac46
https://doi.org/10.1080/10618600.2021.1999824

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Spectral adjustment for spatial confounding

Autor: Yawen Guan, Garritt L Page, Brian J Reich, Massimo Ventrucci, Shu Yang

Publikováno v: Biometrika.

SummaryAdjusting for an unmeasured confounder is generally an intractable problem, but in the spatial setting it may be possible under certain conditions. We derive necessary conditions on the coherence between the exposure and the unmeasured confoun

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::69466bbf4b931e1155e2fef0c6bcb2f3
https://doi.org/10.1093/biomet/asac069

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Effects of balance training with stroboscopic glasses on postural control in chronic ankle instability patients

Autor: Matthew K. Seeley, Hyunwook Lee, Seunguk Han, Dustin A. Bruening, Garritt L. Page, J. Ty Hopkins

Publikováno v: Scandinavian Journal of Medicine & Science in Sports. 32:576-587

Individuals with chronic ankle instability (CAI) are believed to rely more on visual information during postural control due to impaired proprioceptive function, which may increase the risk of injury when their vision is limited during sports activit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26765a5742b41b80c3b6d24899e477af
https://doi.org/10.1111/sms.14098

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Template Priors in Bayesian Curve Registration

Autor: Lindsey K. Lepley, W. Zachary Horton, Garritt L. Page, C. Shane Reese, McKenzie S. White

Publikováno v: Technometrics. 63:487-499

In experiments where observations on each experimental unit are functional in nature, it is often the case that, in addition to variability along the horizontal axis (height or amplitude variabilit...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9a735d1cef19a5cf5656b4ce0f2bd830
https://doi.org/10.1080/00401706.2020.1841033

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Bayesian Hierarchical Modelling of Growth Curve Derivatives via Sequences of Quotient Differences

Autor: María Xosé Rodríguez-Álvarez, Dae-Jin Lee, Garritt L. Page

Publikováno v: BIRD: BCAM's Institutional Repository Data
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Summary Growth curve studies are typically conducted to evaluate differences between group or treatment-specific curves. Most analyses focus solely on the growth curves, but it has been argued that the derivative of growth curves can highlight differ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b0f3f770c859ad67dd0a11c83df41e8
https://doi.org/10.1111/rssc.12399

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Joint Random Partition Models for Multivariate Change Point Analysis

Autor: José J. Quinlan, Garritt L. Page, Luis M. Castro

Publikováno v: Bayesian Analysis.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da368541b6bf6c91f6077b8d3f513780
https://doi.org/10.1214/22-ba1344

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Big Data in Sports: Predictive Models for Basketball Player's Performance

Autor: Dae-Jin Lee, Garritt L. Page

Aryuna is a platform that allows to perform advanced data analytics of men's professional basketball statistics of the last 16 seasons in more than 25 professional leagues and 71 FIBA tournaments. The complete database consists of more than 37,000 ga

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::27d5bd272888d6d53b2e6acc8d200de1
https://doi.org/10.33774/miir-2021-h4x62

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Affinity-based measures of biomarker performance evaluation

Autor: Miguel de Carvalho, Bradley J. Barney, Garritt L. Page

Publikováno v: de Carvalho, M, Barney, B J & Page, G L 2020, ' Affinity-based measures of biomarker performance evaluation ', Statistical Methods in Medical Research, vol. 29, no. 3, pp. 837-853 . https://doi.org/10.1177/0962280219846157

We propose new summary measures of biomarker accuracy which can be used as companions to existing diagnostic accuracy measures. Conceptually, our summary measures are tantamount to the so-called Hellinger affinity and we show that they can be regarde

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::459ccbab17f89ee870736debe34ab9ea
https://doi.org/10.1177/0962280219846157

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On a class of repulsive mixture models

Autor: Garritt L. Page, José J. Quinlan, Fernando Quintana Quintana

Publikováno v: TEST.

Finite or infinite mixture models are routinely used in Bayesian statistical practice for tasks such as clustering or density estimation. Such models are very attractive due to their flexibility and tractability. However, a common problem in fitting

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0c2ffff962c62a82bc264cc5bd3e211d
https://doi.org/10.1007/s11749-020-00726-y

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