Search Results - subject:"conditional inference"

Comparison of tree-based methods used in survival data

Yabaci, Aysegul; Sigirli, Deniz - In: Statistics in Transition new series (SiTns) 23 (2022) 1, pp. 21-38

. Conditional inference trees (Ctree) form a non-parametric class of regression trees embedding tree-structured regression models … into a well-defined theory of conditional inference procedures. The Ctree is applicable in a varietyof regression … scales of covariates. Conditional inference forests (Cforest) consitute a survival forest method which combines a large …

Persistent link: https://www.econbiz.de/10013444118

Comparison of tree-based methods used in survival data

Yabaci, Aysegul; Sigirli, Deniz - In: Statistics in transition : an international journal of … 23 (2022) 1, pp. 21-38

Persistent link: https://www.econbiz.de/10013419288

Childhood Circumstances and Health of American and Chinese Older Adults: A Machine Learning Evaluation of Inequality of Opportunity in Health

Huo, Shutong; Feng, Derek; Gill, Thomas M.; Chen, Xi - 2024

Chinese participants aged 60 and above. Conditional inference trees and forest were employed to estimate the influence of ….08% of the total Gini coefficient 0.191) than conditional inference tree (China: 0.022, 12.79% of 0.172; US: 0.044, 23.04% of … were identified, including childhood health, family financial status, and regional differences. The conditional inference …

Persistent link: https://www.econbiz.de/10014463070

Childhood Circumstances and Health of American and Chinese Older Adults: A Machine Learning Evaluation of Inequality of Opportunity in Health

Huo, Shutong; Feng, Derek; Gill, Thomas M.; Chen, Xi - 2024

Chinese participants aged 60 and above. Conditional inference trees and forest were employed to estimate the influence of ….08% of the total Gini coefficient 0.191) than conditional inference tree ( China: 0.022, 12.79% of 0.172; US: 0.044, 23 … were identified, including childhood health, family financial status, and regional differences. The conditional inference …

Persistent link: https://www.econbiz.de/10014533911

Childhood circumstances and health of American and Chinese older adults : a machine learning evaluation of inequality of opportunity in health

Huo, Shutong; Feng, Derek; Gill, Thomas M.; Chen, Xi - 2024

Persistent link: https://www.econbiz.de/10014463718

Mitigating the impact of intergenerational risk factors on stunting : insights from the Grow Great Community Stunting Survey

Rich, Kate; Engelbrecht, Liezel; Wills, Gabrielle; … - 2024

Persistent link: https://www.econbiz.de/10015044970

Childhood circumstances and health of American and Chinese older adults : a machine learning evaluation of inequality of opportunity in health

Huo, Shutong; Feng, Derek; Gill, Thomas M.; Chen, Xi - 2024

Persistent link: https://www.econbiz.de/10014469888

Decomposition of inequality of opportunity in India : an application of data-driven machine learning approach

Mehta, Balwant Singh; Dhote, Siddharth; Srivastava, Ravi - In: The Indian journal of labour economics : a quarterly … 66 (2023) 2, pp. 439-469

Persistent link: https://www.econbiz.de/10014382657

Statistical decision functions with judgment

Manganelli, Simone - 2021

A decision maker tests whether the gradient of the loss function evaluated at a judgmental decision is zero. If the test does not reject, the action is the judgmental decision. If the test rejects, the action sets the gradient equal to the boundary of the rejection region. This statistical...

Persistent link: https://www.econbiz.de/10012422174

Conditional as-if analyses in randomized experiments

Pashley, Nicole E.; Basse, Guillaume W.; Miratrix, Luke W. - In: Journal of Causal Inference 9 (2021) 1, pp. 264-284

Abstract The injunction to “analyze the way you randomize” is well known to statisticians since Fisher advocated for randomization as the basis of inference. Yet even those convinced by the merits of randomization-based inference seldom follow this injunction to the letter. Bernoulli...

Persistent link: https://www.econbiz.de/10014610912