A Double-Hurdle Quantification Model for Freezing of Gait of Parkinson's Patients

Authors: Xu, N., Wang, C., Peng, L., Zhou, X., Chen, J., Cheng, Z., Hou, Z.

Source: IEEE Transactions on Biomedical Engineering IEEE Trans. Biomed. Eng. Biomedical Engineering, IEEE Transactions on. 71(10):2936-2947 Oct, 2024

Traffic Anomaly Prediction based on Spatio-Temporal Uncertainty

Authors: Feng, Jiangtao, Piao, Xinglin, Liu, Hongfei, Zhang, Yong

Source: 2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Chinese Association of Automation (YAC), 2024 39th Youth Academic Annual Conference of. :898-903 Jun, 2024

Relation: 2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)

Statistical Methods in Data Science and Applications

Contributors: Tang, Niansheng, Lee, Shen-Ming

Subject Terms: meta learning, data classification, hybrid sine and cosine algorithm, Wilcoxon signed rank test, multiple application scenario datasets, model selection, nonparametric additive models, nonparametric smoothing, ridge estimation, data masking, multiplicative noise, data mining, sample size calculation, clustering, correlation, REML, multivariate linear mixed models, GWNR, linear estimator, mixed estimator, spatial data, unbiased, bootstrap resampling, imputation, non-inferiority assessment, non-ignorable missing data, three-arm trial, bootstrap, expectation-maximization (EM) algorithm, latent class, likelihood ratio test, maximum likelihood, randomized response, sensitive attribute, credit risk scorecards, hypothesis testing, population stability, simulation, biomarkers, correction for attenuation, measurement error, Poisson binomial distribution, logistic regression, data aggregation, likelihood, numerical optimization, indirect questioning, non-randomized response technique, randomized response technique, statistical methods, model averaging, asymptotic optimality, HRCp, varying-coefficient partially linear model, missing data, otsfeatures, ordinal time series, feature extraction, cumulative probabilities, R package, cognitive diagnosis model, DINA model, penalized likelihood, Shannon entropy, EM algorithm, surrogate, zero-inflated data, Applied mathematics

File Description: application/octet-stream

Access URL: https://directory.doabooks.org/handle/20.500.12854/137898
https://mdpi.com/books/pdfview/book/9160

Dealing with zero-inflated data: Achieving state-of-the-art with a two-fold machine learning approach

Authors: Rožanec, Jože M. ^{a, ⁎}, Petelin, Gašper ^{a, b}, Costa, João ^a, Cerar, Gregor ^a, Bertalanič, Blaž ^a, Guček, Marko ^c, Papa, Gregor ^a, Mladenić, Dunja ^a

Source: In Engineering Applications of Artificial Intelligence 1 June 2025 149

Estimating Long-Term Delay Risk with Generalized Linear Models

Authors: Milliet de Faverges, Marie, Russolillo, Giorgio, Picouleau, Christophe, Merabet, Boubekeur, Houzel, Bertrand

Source: 2018 21st International Conference on Intelligent Transportation Systems (ITSC) Intelligent Transportation Systems (ITSC), 2018 21st International Conference on. :2911-2916 Nov, 2018

Relation: 2018 IEEE International Conference on Intelligent Transportation Systems (ITSC)

Application of Mixture Models for Doubly Inflated Count Data

Authors: Monika Arora, N. Rao Chaganty

Source: Analytics, Vol 2, Iss 1, Pp 265-283 (2023)

Subject Terms: poisson regression, zero-inflated data, zero- and k-inflated data, EM algorithm, health science, Electronic computers. Computer science, QA75.5-76.95, Probabilities. Mathematical statistics, QA273-280

File Description: electronic resource

Relation: https://www.mdpi.com/2813-2203/2/1/14; https://doaj.org/toc/2813-2203

Access URL: https://doaj.org/article/6b868770a9114348822129c2cc251947

Hurdle model with random effects for the study of copper hillocks growth in integrated circuits manufacturing

Authors: Li, Guilin, Tan, Royston, Ng, Szu Hui, Chua, Daniel

Source: 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Industrial Engineering and Engineering Management (IEEM), 2015 IEEE International Conference on. :376-380 Dec, 2015

Relation: 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

Generalized Linear Models with Covariate Measurement Error and Zero-Inflated Surrogates

Authors: Ching-Yun Wang, Jean de Dieu Tapsoba, Catherine Duggan, Anne McTiernan

Source: Mathematics, Vol 12, Iss 2, p 309 (2024)

Subject Terms: measurement error, surrogate, zero-inflated data, Mathematics, QA1-939

File Description: electronic resource

Relation: https://www.mdpi.com/2227-7390/12/2/309; https://doaj.org/toc/2227-7390

Access URL: https://doaj.org/article/bd29e9b0df8b43fea18e80b6c786ce3f

How to analyze work productivity loss due to health problems in randomized controlled trials? A simulation study

Authors: Wei Zhang, Huiying Sun

Source: BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-11 (2021)

Subject Terms: Productivity loss, Absenteeism, Presenteeism, Zero-inflated data, Simulation studies, Randomized controlled trial, Medicine (General), R5-920

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2288

Access URL: https://doaj.org/article/5ddd4ac7cf3541a099a1666416f179f9

Tweedie Compound Poisson Models with Covariate-Dependent Random Effects for Multilevel Semicontinuous Data

Authors: Renjun Ma, Md. Dedarul Islam, M. Tariqul Hasan, Bent Jørgensen

Source: Entropy, Vol 25, Iss 6, p 863 (2023)

Subject Terms: best linear unbiased predictors, clustered data, random effects, repeated data, two-part models, zero-inflated data, Science, Astrophysics, QB460-466, Physics, QC1-999

File Description: electronic resource

Relation: https://www.mdpi.com/1099-4300/25/6/863; https://doaj.org/toc/1099-4300

Access URL: https://doaj.org/article/c5accae06486408fbe19e281ff1dcf6d

Zero-Inflated Patent Data Analysis Using Compound Poisson Models

Authors: Sangsung Park, Sunghae Jun

Source: Applied Sciences, Vol 13, Iss 7, p 4505 (2023)

Subject Terms: zero-inflated data, compound Poisson model, generalized linear model, Poisson distribution, document-word matrix, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/7/4505; https://doaj.org/toc/2076-3417

Access URL: https://doaj.org/article/4f1c0b1cadcf41abb59acc38b0e4ec15

Zero-Inflated Patent Data Analysis Using Generating Synthetic Samples

Authors: Daiho Uhm, Sunghae Jun

Source: Future Internet, Vol 14, Iss 7, p 211 (2022)

Subject Terms: zero-inflated data, synthetic sample, patent analysis, count data, classification and regression trees, Information technology, T58.5-58.64

File Description: electronic resource

Relation: https://www.mdpi.com/1999-5903/14/7/211; https://doaj.org/toc/1999-5903

Access URL: https://doaj.org/article/0a2b670079c14d4084c782a8da8a36e2

Modeling Count Data of Rare Species: Some Statistical Issues

Authors: Cunningham, Ross B., Lindenmayer, David B.

Source: Ecology, 2005 May 01. 86(5), 1135-1142.

Access URL: https://www.jstor.org/stable/3450874

A Review on Differential Abundance Analysis Methods for Mass Spectrometry-Based Metabolomic Data

Authors: Zhengyan Huang, Chi Wang

Source: Metabolites, Vol 12, Iss 4, p 305 (2022)

Subject Terms: differential abundance, mass spectrometry, metabolomics, zero-inflated data, Microbiology, QR1-502

File Description: electronic resource

Relation: https://www.mdpi.com/2218-1989/12/4/305; https://doaj.org/toc/2218-1989

Access URL: https://doaj.org/article/ca8f5405c58f4c99b37c072dc64e4450

EM Estimation for Zero- and k-Inflated Poisson Regression Model

Authors: Monika Arora, N. Rao Chaganty

Source: Computation, Vol 9, Iss 9, p 94 (2021)

Subject Terms: poisson regression, zero-inflated data, zero- and k-inflated data, EM algorithm, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.mdpi.com/2079-3197/9/9/94; https://doaj.org/toc/2079-3197

Access URL: https://doaj.org/article/1c3ce5044e1643768ad8a5e62c0e7c1f

Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive

Authors: Simona Arcuti, Crescenza Calculli, Alessio Pollice, Gianfranco D’Onghia, Porzia Maiorano, Angelo Tursi

Source: Statistica, Vol 73, Iss 1, Pp 87-101 (2013)

Subject Terms: generalized Additive Models, zero-inflated data, Tweedie distribution, spatio-temporal modeling, Demersal resources abundance, Statistics, HA1-4737

File Description: electronic resource

Relation: http://rivista-statistica.unibo.it/article/view/3987; https://doaj.org/toc/0390-590X; https://doaj.org/toc/1973-2201

Access URL: https://doaj.org/article/0e98474bfa8c4bbb9e515be8834385ff

Multiplicative-Binomial Distribution: Some Results on Characterization, Inference and Random Data Generation

Authors: Elsayed A.H. Elamir

Source: Journal of Statistical Theory and Applications (JSTA), Vol 12, Iss 1 (2013)

Subject Terms: binomial distribution, likelihood ratio test, over-dispersion, profile likelihood, zero-inflated data., Probabilities. Mathematical statistics, QA273-280

File Description: electronic resource

Relation: https://www.atlantis-press.com/article/6646.pdf; https://doaj.org/toc/1538-7887

Access URL: https://doaj.org/article/80e7cd39366f43ecaaa1b1680c56559c

This result is not displayed to guests.
Login for full access.

This result is not displayed to guests.
Login for full access.

This result is not displayed to guests.
Login for full access.