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Statistical Models and Learning Methods for Complex Data
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783031847011

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Interpretable Model Summaries Using the Wasserstein Distance.
Dunipace, Eric ; Trippa, Lorenzo
American Statistician. Nov2025, Vol. 79 Issue 4, p421-434. 14p.

Bayesian analysis Machine learning Statistical models Multivariate analysis Prediction models Automatic summarization
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4

A Review of Research on Intelligent Modeling Approaches for Rural Wastewater Quality Prediction.
Jing, Jiaqi ; Quan, Pei
Procedia Computer Science. 2025, Vol. 266, p1096-1101. 6p.

Machine learning Deep learning Water shortages Statistical learning Ecological forecasting Sewage purification …
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5

Understanding the Relationship Between Comorbidities, Medication Nonadherence, Activities of Daily Living, and Heart Condition Status Among Older Adults in the United States: A Regression Analysis and Machine Learning Approach.
Ruksakulpiwat, Suebsarn ; Thongking, Witchuda ; Kannan, Naveen ; et al.
Journal of Cardiovascular Nursing. Nov/Dec2025, Vol. 40 Issue 6, pE330-E339. 10p.

United States Clinical drug trials Patient compliance Self-evaluation Statistical models Cross-sectional method …
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6

Machine Learning‐Based Prognostic Models for Mortality in Patients Receiving Implantable Cardioverter Defibrillators.
Pan, Lei ; Liu, Xi ; Zhu, Li ; et al.
Pacing & Clinical Electrophysiology. Aug2025, Vol. 48 Issue 8, p906-916.

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7

Classifying ultra‐short scientific texts using a hybrid hierarchical multi‐label classification framework.
Wu, Dengsheng ; Wu, Huidong ; Meng, Fan ; et al.
Journal of the Association for Information Science & Technology. Dec2025, Vol. 76 Issue 12, p1625-1646. 22p.

Information retrieval Machine learning Comparative studies Algorithms Classification Statistical models …
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8

Statistical Data Modeling and Machine Learning with Applications
Gocheva-Ilieva, Snezhana

mathematical competency assessment machine learning classification and regre... CART ensembles and baggi... ensemble model …
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9

Data-driven methods in risk assessment of public-private partnership projects
Engineering, Construction and Architectural Management, 2025, Vol. 32, Issue 13, pp. 406-425.

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11

Estimating the causal effects of multiple intermittent treatments with application to COVID-19.
Hu, Liangyuan ; Ji, Jiayi ; Joshi, Himanshu ; et al.
Journal of the Royal Statistical Society: Series C (Applied Statistics). Nov2023, Vol. 72 Issue 5, p1162-1186. 25p.

ESTIMATES COVID-19 treatment MACHINE learning STATISTICAL models INTENSIVE care units PANEL analysis …
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12

Lumen: A software for the interactive visualization of probabilistic models together with data
Lucas, Philipp ; Giesen, Joachim
The journal of open source software : a developer friendly journal for research software packages, 63, 6, 1-4

Sozialwissenschaften, So... Social sciences, sociolo... Allgemeine Bevölkerungsu... Erhebungstechniken und A... Methods and Techniques o... ALLBUS …
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13

Predictive Modelling of Meteorological Data Using Time Series Methods
null Hymavathi. M ; Sandeepu Kumar. K ; null Jahnavi. Y
International Journal of Advanced Networking and Applications. 16:6677-6682

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14

Data-driven multi-step energy consumption forecasting with complex seasonality patterns and exogenous variables: Model accuracy assessment in change point neighborhoods.
Svoboda, Radek ; Kotik, Vojtech ; Platos, Jan
Applied Soft Computing. Jan2024, Vol. 150, pN.PAG-N.PAG. 1p.

Energy consumption forec... Deep learning Machine learning Neighborhood change Statistical models Forecasting methodology
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15

A Real-Time Monitoring and Analysis Model for Regional Economic Activities Based on Mobile Computing.
Ren, Chunmei
International Journal of Interactive Mobile Technologies. 2025, Vol. 19 Issue 18, p49-62. 14p.

Long short-term memory Real-time computing Economic forecasting Feature extraction Economic activity Outlier detection
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16

Statistical Foundations of Actuarial Learning and its Applications
Wüthrich, Mario V. ; Merz, Michael

Deep Learning Actuarial Modeling Pricing and Claims Reser... Artificial Neural Networ... Regression Modeling Applied mathematics …
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17

Process Modeling in Pyrometallurgical Engineering
Saxen, Henrik ; Ramírez-Argáez, Marco ; Conejo, Alberto ; et al.

steelmaking oxygen consumption GPR prediction model secondary refining water model …
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18

Explosion induced domino effect assessment in the process industries: A machine learning approach to improve probit models.
Jiang, Min ; Yang, Yu ; Bian, Jiexiang ; et al.
Journal of Loss Prevention in the Process Industries. Dec2025, Vol. 98, pN.PAG-N.PAG. 1p.

CHEMICAL industry ARTIFICIAL neural networ... MACHINE learning EXPLOSIONS STATISTICAL models
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19

Deep Learning-Based Machinery Fault Diagnostics
Chen, Hongtian ; Zhong, Kai ; Ran, Guangtao ; et al.

process monitoring dynamics variable time lag dynamic autoregressive l... sintering process hammerstein output-error... …
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20

Regressive class models for machine learning algorithms to predict trajectories of repeated multinomial outcomes: an application to the activity of daily living of elderly data.
Chowdhury, R. I. ; Hasan, M. T. ; Huda, S. ; et al.
Communications in Statistics: Simulation & Computation. 2025, Vol. 54 Issue 6, p2110-2131. 22p.

BIG data MACHINE learning STATISTICS methodology STATISTICAL models ACTIVITIES of daily livi... STATISTICAL bootstrappin...
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