Výsledky vyhledávání - "Bayesian Additive Regression Trees"

Data Science for Wind Energy

Autoři: Ding, Yu

Témata: Bayesian Additive Regression Trees, SVM Model, Power Curve Model, Wind Speed, GEV Distribution, PACF Plot, Wind Turbine, Binning Method, Local Wind Field, ARMA Model, Wind Field Analysis, Ahead Forecast, Wind Speed Forecast, Power Curve, Wind Farm, Data Science Methods, Test Turbine, Importance Sampling Density, Be, GMRF Model, Computer Simulators, CMC, Power Coefficient, Importance Sampling Method, Posterior Predictive Distribution, Data mining, Alternative and renewable energy sources and technology, Artificial intelligence, Probability and statistics

Popis souboru: application/pdf

Přístupová URL adresa: https://library.oapen.org/handle/20.500.12657/101466

An adaptive trimming approach to Bayesian additive regression trees

Autoři: Taoyun Cao Jinran Wu You-Gan Wang

Zdroj: Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6805-6823 (2024)

Témata: outliers, forecasting, QA75.5-76.95, Information technology, 02 engineering and technology, T58.5-58.64, 01 natural sciences, robust regression, Electronic computers. Computer science, Bayesian additive regression trees, 0202 electrical engineering, electronic engineering, information engineering, Outliers, Adaptive trimmed regression, Robust regression, 0101 mathematics, adaptive trimmed regression, Forecasting

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/c40bd69410d340f58aea612b34018d53
https://acuresearchbank.acu.edu.au/item/90yw6/an-adaptive-trimming-approach-to-bayesian-additive-regression-trees

Partially fixed bayesian additive regression trees

Autoři: Hao Ran Yang Bai

Zdroj: Statistical Theory and Related Fields, Vol 8, Iss 3, Pp 232-242 (2024)

Témata: machine learning, variable importance, 0502 economics and business, 05 social sciences, Bayesian additive regression trees, 0101 mathematics, Probabilities. Mathematical statistics, 01 natural sciences, nonparametric model, QA273-280

Přístupová URL adresa: https://doaj.org/article/3d2a01369d034ed790473338acc0ed45

Adaptive Use of Co‐Data Through Empirical Bayes for Bayesian Additive Regression Trees

Autoři: Jeroen M. Goedhart Thomas Klausch Jurriaan Janssen a další

Zdroj: Stat Med

Témata: Models, Statistical, Bayes Theorem, prediction, co-data, Prognosis, omics, high-dimensional data, Bayesian additive regression trees, Humans, Regression Analysis, Computer Simulation, Lymphoma, Large B-Cell, Diffuse, empirical Bayes, Research Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39964672
https://pure.amsterdamumc.nl/en/publications/88865623-0daa-43bd-a85b-853fed9160c1
https://doi.org/10.1002/sim.70004

How Differently Do Farms Respond to Agri-environmental Policies? A Probabilistic Machine-Learning Approach

Autoři: Coderoni, Silvia Esposti, Roberto Varacca, Alessandro

Zdroj: Land Economics. 100:370-397

Témata: Machine Learning, Common Agricultural Policy, Agri-Environmental Measures, Heterogeneous Treatment Effects, Causal Machine Learning, Random Forests, Bayesian Additive Regression Trees, Agri-Environmental Measures, Heterogeneous Treatment Effects, Common Agricultural Policy

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/10807/278116
https://doi.org/10.3368/le.100.2.060622-0043r1

A Bayesian Additive Regression Trees Framework for Individualized Causal Effect Estimation

Autoři: Lulu He Lixia Cao Tonghui Wang a další

Zdroj: Mathematics, Vol 13, Iss 13, p 2195 (2025)

Témata: individual-treatment effect, Bayesian additive regression trees, Shapley values, heterogeneous treatment effects, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/13/2195; https://doaj.org/toc/2227-7390

Přístupová URL adresa: https://doaj.org/article/ec153e76cf6c45fd93bddf901e9777c6

A SPECIES DISTRIBUTION MODEL OF THE ANTARCTIC MINKE WHALE (BALAENOPTERA BONAERENSIS)

Autoři: Volodymyr Tytar

Zdroj: Theriologia Ukrainica, Vol 23, Pp 78-86 (2022)

Témata: bepress|Life Sciences|Ecology and Evolutionary Biology|Terrestrial and Aquatic Ecology, balaenoptera bonaerensis, Terrestrial and Aquatic Ecology, Ecology and Evolutionary Biology, Life Sciences, biological indicator, species distribution modelling, bepress|Life Sciences|Ecology and Evolutionary Biology, bayesian additive regression trees, bepress|Life Sciences, climate change, QL1-991, 13. Climate action, 14. Life underwater, Zoology, southern ocean

Přístupová URL adresa: http://ecoevorxiv.org/hxbc7/download
https://doaj.org/article/c0c766cf9a4b4a2ba00cbaca19670ece
https://ecoevorxiv.org/hxbc7
https://ecoevorxiv.org/jrc8v

Extinction risk predictions for the world's flowering plants to support their conservation.

Autoři: Bachman, Steven P. Brown, Matilda J. M. Nic Lughadha, Eimear a další

Témata: Bayesian Additive Regression Trees, Extinction risk, Uncertainty, Conservation, Angiosperms, Plants, Red List, World Checklist of Vascular Plants (WCVP)

Relation: New Phytologist; https://handle.test.datacite.org/10.1111/nph.19592

Dostupnost: https://doi.org/10.1111/nph.19592

Implementation of Proximal and Remote Soil Sensing, Data Fusion and Machine Learning to Improve Phosphorus Spatial Prediction for Farms in Ontario, Canada

Autoři: Abdelkrim Lachgar David J. Mulla Viacheslav Adamchuk

Zdroj: Agronomy, Vol 14, Iss 4, p 693 (2024)

Témata: spatial variability, Bayesian additive regression trees, support vector machine regressor, ordinary kriging, Agriculture

Relation: https://www.mdpi.com/2073-4395/14/4/693; https://doaj.org/toc/2073-4395; https://doaj.org/article/318c01a7775640ddb7002ce42db0f13c

Dostupnost: https://doi.org/10.3390/agronomy14040693
https://doaj.org/article/318c01a7775640ddb7002ce42db0f13c

Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome

Autoři: Sun, Rongqian Song, Xinyuan

Zdroj: Statistics and Computing. 34

Témata: survival outcome, Bayesian additive regression trees, shared tree topology, Computational methods for problems pertaining to statistics, heterogeneous mediation, moderated mediation, Applications of statistics to biology and medical sciences, meta analysis

Popis souboru: application/xml

Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the Health and Retirement Study

Autoři: Yaoyuan Vincent Tan Carol A. C. Flannagan Lindsay R. Pool a další

Zdroj: Statistics in Medicine. 40:2613-2625

Témata: FOS: Computer and information sciences, Medicine (General), penalized spline of propensity methods in treatment comparisons, Science, Social Sciences, 01 natural sciences, missing data, 03 medical and health sciences, Cognition, 0302 clinical medicine, Bias, Health Sciences, Humans, Applications (stat.AP), Longitudinal Studies, causal inference, 0101 mathematics, Selection Bias, Retirement, longitudinal study, Middle Aged, Statistics and Numeric Data, time‐dependent confounding, Applications, Bayesian additive regression trees, Public Health

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/pdf/1812.08855
https://pubmed.ncbi.nlm.nih.gov/33665879
http://arxiv.org/abs/1812.08855
https://onlinelibrary.wiley.com/doi/10.1002/sim.8921
https://europepmc.org/article/MED/33665879
https://www.scholars.northwestern.edu/en/publications/accounting-for-selection-bias-due-to-death-in-estimating-the-effe-2
https://www.ncbi.nlm.nih.gov/pubmed/33665879
https://pubmed.ncbi.nlm.nih.gov/33665879/

Plague risk in the western United States over seven decades of environmental change

Autoři: Colin J. Carlson Sarah N. Bevins Boris V. Schmid

Zdroj: Glob Chang Biol

Témata: Veterinary Medicine, 0301 basic medicine, Terrestrial and Aquatic Ecology, Epidemiology, Yersinia pestis, Climate Change, Rodentia, 03 medical and health sciences, Veterinary Microbiology and Immunobiology, Seroepidemiologic Studies, Natural Resources and Conservation, Animals, and Public Health, ecological niche modeling, Veterinary Infectious Diseases, Veterinary Preventive Medicine, Plague, 0303 health sciences, Population Biology, Natural Resources Management and Policy, Life Sciences, 15. Life on land, Primary Research Articles, plague, United States, Other Veterinary Medicine, 3. Good health, climate change, 13. Climate action, Animal Sciences, Bayesian additive regression trees, Other Environmental Sciences, Zoology, Environmental Sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/gcb.15966
https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=3535&context=icwdm_usdanwrc
https://pubmed.ncbi.nlm.nih.gov/34796590
https://www.biorxiv.org/content/biorxiv/early/2021/02/27/2021.02.26.433096.1.full.pdf
https://www.biorxiv.org/content/10.1101/2021.02.26.433096v2
https://biorxiv.org/content/10.1101/2021.02.26.433096v1.full.pdf
https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.15966
https://pubmed.ncbi.nlm.nih.gov/34796590/
https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15966
https://www.ncbi.nlm.nih.gov/pubmed/34796590
https://europepmc.org/article/PPR/PPR290058

TAIL FORECASTING WITH MULTIVARIATE BAYESIAN ADDITIVE REGRESSION TREES

Autoři: Clark, Todd E. Huber, Florian Koop, Gary a další

Zdroj: International Economic Review. 64:979-1022

Témata: 502025 Ökonometrie, 502018 Macroeconomics, 502018 Makroökonomie, regression trees, scenario analysis, TAIL FORECASTING, BAYESIAN ADDITIVE REGRESSION TREES, BART, 01 natural sciences, Macroeconomic forecasting, nonparametric VAR, Cat2, 502025 Econometrics, Econometrics, 0101 mathematics, SRA

Popis souboru: application/pdf; text

Přístupová URL adresa: https://www.clevelandfed.org/~/media/content/newsroom and events/publications/working papers/2021/wp2108.pdf
https://fedinprint.org/item/fedcwq/90366/original
https://www.clevelandfed.org/~/media/content/newsroom and events/publications/working papers/2021/wp2108.pdf
https://www.clevelandfed.org/en/newsroom-and-events/publications/working-papers/2021-working-papers/wp-2108-tail-forecasting-with-multivariate-bayesian-additive-regression-trees.aspx
https://ideas.repec.org/p/fip/fedcwq/90366.html
https://autopapers.ssrn.com/sol3/papers.cfm?abstract_id=3809866
https://uni-salzburg.elsevierpure.com/de/publications/tail-forecasting-with-multivariate-bayesian-additive-regression-t
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3809866
https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID3809866_code882697.pdf?abstractid=3809866&mirid=1

Data-Driven Identification of Critical Components in Complex Technical Infrastructures Using Bayesian Additive Regression Trees

Autoři: Lu X. Antonello F. Baraldi P. a další

Zdroj: Proceedings of the 29th European Safety and Reliability Conference (ESREL). :3432-3436

Témata: Complex Technical Infrastructure, Critical Components Identification, Feature Selection, Bayesian Additive Regression Trees

Popis souboru: application/pdf

Přístupová URL adresa: https://re.public.polimi.it/handle/11311/1160357
https://hdl.handle.net/11311/1160357
https://doi.org/10.3850/978-981-11-2724-3_0714-cd

A semiparametric Bayesian approach to population finding with time‐to‐event and toxicity data in a randomized clinical trial: A semiparametric Bayesian approach to population finding with time-to-event and toxicity data in a randomized clinical trial

Autoři: Satoshi Morita Peter Müller Hiroyasu Abe

Zdroj: Biometrics. 77:634-648

Témata: population finding, Research Design, efficacy-toxicity trade-off, Bayesian additive regression trees, Bayesian decision problem, Bayes Theorem, Computer Simulation, 0101 mathematics, nonparametric Bayesian, 01 natural sciences, Pólya tree prior, Applications of statistics to biology and medical sciences, meta analysis

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/pdf/1910.12174
https://pubmed.ncbi.nlm.nih.gov/32339262
https://zbmath.org/7749350
https://doi.org/10.1111/biom.13289
https://www.ncbi.nlm.nih.gov/pubmed/32339262
https://onlinelibrary.wiley.com/doi/abs/10.1111/biom.13289
https://ui.adsabs.harvard.edu/abs/2019arXiv191012174M/abstract
https://pubmed.ncbi.nlm.nih.gov/32339262/

Bayesian nonparametric regression with multivariate Normal mixtures: BART as a Gaussian process and faster BART

Autoři: Giacomo Petrillo

Témata: BART, GP, Gaussian processes, Bayesian Additive Regression Trees, Nonparametric regression, Bayesian, Machine Learning

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/2158/1420172

Bayesian Methods in Analyzing Arbitrarily Censored Data

Autoři: Zhi, Xin

Zdroj: Theses and Dissertations

Témata: Arbitrarily censored data, Bayesian Additive Regression Trees, Data augmentation, Discrete-time, Time-varying coefficients, Statistics and Probability

Popis souboru: application/pdf

Relation: https://scholarcommons.sc.edu/etd/8489; https://scholarcommons.sc.edu/context/etd/article/9394/viewcontent/1165054.pdf

Dostupnost: https://scholarcommons.sc.edu/etd/8489
https://scholarcommons.sc.edu/context/etd/article/9394/viewcontent/1165054.pdf

Bayesian additive regression trees for machine learning to classify benign vs atypical lipomatous tumors on MRI.

Autoři: Godinez, Felipe Yuan, Nimu Garg, Rijul a další

Zdroj: Radiol Adv ; ISSN:2976-9337 ; Volume:2 ; Issue:5

Témata: Bayesian additive regression trees, MRI, atypical lipomatous tumors, machine learning, radiomics, tumor classification

Relation: https://doi.org/10.1093/radadv/umaf036; https://pubmed.ncbi.nlm.nih.gov/41141219; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12548370/

Dostupnost: https://doi.org/10.1093/radadv/umaf036
https://pubmed.ncbi.nlm.nih.gov/41141219
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12548370/

Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort Study.

Autoři: van Velze, Veerle Y Burger, Hendrico L van der Steenhoven, Tim J a další

Zdroj: JMIR Med Inform ; ISSN:2291-9694 ; Volume:13

Témata: Bayesian additive regression trees, artificial neural network, complete wound healing, diabetic foot ulcer, extreme gradient boosting, k-nearest neighbor, logistic regression, machine learning, random forest, support vector machine

Relation: https://doi.org/10.2196/71994; https://pubmed.ncbi.nlm.nih.gov/41072008; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12552813/

Dostupnost: https://doi.org/10.2196/71994
https://pubmed.ncbi.nlm.nih.gov/41072008
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12552813/

Modeling Joint Health Effects of Environmental Exposure Mixtures With Bayesian Additive Regression Trees.

Autoři: Englert, Jacob R Ebelt, Stefanie T Chang, Howard H

Zdroj: Stat Med ; ISSN:1097-0258 ; Volume:44 ; Issue:20-22

Témata: Bayesian additive regression trees, accumulated local effects, air pollution, asthma, environmental mixtures

Relation: https://doi.org/10.1002/sim.70250; https://pubmed.ncbi.nlm.nih.gov/40911373; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12489876/

Dostupnost: https://doi.org/10.1002/sim.70250
https://pubmed.ncbi.nlm.nih.gov/40911373
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12489876/