Search Results - (( (statene OR stat) python code analysis ) OR ( (stateee OR stateeny) python code analysis ))

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Authors: Golestani, Ali M. Gee, Julia M.

Source: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Subject Terms: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

GE-IA-NAM: gene-environment interaction analysis via imaging-assisted neural additive model.

Authors: Li J Xu Y Ma S et al.

Source: Bioinformatics (Oxford, England) [Bioinformatics] 2025 Sep 01; Vol. 41 (9).

Publication Type: Journal Article

Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

MeSH Terms: Gene-Environment Interaction* , Deep Learning* , Lung Neoplasms*/genetics , Skin Neoplasms*/genetics , Melanoma*/genetics, Datasets as Topic ; Humans ; Age Factors ; Sex Factors ; Smoking

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Subject Terms: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis.

Authors: Liu, Hongli Clark, Martyn P. Gharari, Shervan et al.

Source: Water Resources Research; Jan2024, Vol. 60 Issue 1, p1-22, 22p

Subject Terms: SENSITIVITY analysis, GAUSSIAN mixture models, DATA envelopment analysis, PARAMETER estimation

Evaluating Large Language Models in Code Generation: INFINITE Methodology for Defining the Inference Index.

Authors: Christakis, Nicholas Drikakis, Dimitris

Source: Applied Sciences (2076-3417); Apr2025, Vol. 15 Issue 7, p3784, 24p

Subject Terms: LANGUAGE models, LONG short-term memory, ARTIFICIAL intelligence, GENERATIVE pre-trained transformers, WIND speed

Python Programming: Numerical Analysis/Machine Learning Series.

Authors: Doskas, Constantinos

Source: ISSA Journal; Oct2023, Vol. 21 Issue 10, p34-38, 5p

Subject Terms: PYTHON programming language, NUMERICAL analysis, MACHINE learning

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Authors: Dunker, Fabian Mendoza, Emil Reale, Marco

Source: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Subject Terms: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

Mathematical Model of the Software Development Process with Hybrid Management Elements.

Authors: Semenov, Serhii Tsukur, Volodymyr Molokanova, Valentina et al.

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11667, 44p

Subject Terms: COMPUTER software development, AGILE software development, TELEMETRY, PREDICTION models, INTERDISCIPLINARY research, EPISTEMIC uncertainty, RISK assessment

CEO masculine behavior and earnings management: does ethnicity matter?

Authors: Elsheikh, Tamer Hashim, Hafiza Aishah Mohamad, Nor Raihan et al.

Source: Journal of Financial Reporting & Accounting (Emerald Group Publishing Limited); 2025, Vol. 23 Issue 3, p959-983, 25p

Subject Terms: FIXED effects model, GOVERNMENT policy, STATISTICAL significance, EARNINGS management, CHIEF executive officers

Geographic Terms: MALAYSIA

Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package

Authors: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. et al.

Contributors: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. et al.

Source: ISSN: 0306-4549 ; Annals of Nuclear Energy ; https://hal.science/hal-04777159 ; Annals of Nuclear Energy, 2025, 211, pp.110962. ⟨10.1016/j.anucene.2024.110962⟩.

Subject Terms: Nuclear reactor, Severe accident, Modelling, Uncertainty quantification, MUSA, Source Term, [PHYS]Physics [physics], [SPI]Engineering Sciences [physics], [STAT]Statistics [stat]

Relation: info:eu-repo/grantAgreement//847441/EU/Euratom research and training programme 2014 – 2018/Euratom

Availability: https://hal.science/hal-04777159
https://hal.science/hal-04777159v1/document
https://hal.science/hal-04777159v1/file/Final_version_ANE20225.pdf
https://doi.org/10.1016/j.anucene.2024.110962

Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial.

Authors: Smith, Matthew J. Mansournia, Mohammad A. Maringe, Camille et al.

Source: Statistics in Medicine; 1/30/2022, Vol. 41 Issue 2, p407-432, 26p

Subject Terms: CAUSAL inference, PYTHON programming language, CRITICAL care medicine, EXPERIMENTAL design, COMPUTER simulation, RESEARCH, RESEARCH methodology, EVALUATION research, COMPARATIVE studies, STATISTICAL models, PROBABILITY theory

Input–Output Global Hybrid Analysis of Agricultural Primary Production (IO-GHAAPP) Database.

Authors: Bunsen, Jonas Coroamă, Vlad Finkbeiner, Matthias

Source: Sustainability (2071-1050); Jun2023, Vol. 15 Issue 12, p9351, 33p

Automation of Software Code Analysis Using Machine Learning Methods.

Authors: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Source: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

A comparison of machine learning algorithms for survival with missing data ; Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes

Authors: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) et al.

Contributors: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) et al.

Source: 54es Journées de Statistique de la SFdS
JDS 2023 - 54e Journées de Statistique de la SFds
https://hal.science/hal-04384220
JDS 2023 - 54e Journées de Statistique de la SFds, SFdS, Jul 2023, Bruxelles (BEL), Belgique. ⟨10.48550/arXiv.2303.13590⟩

Subject Terms: Machine Learning (cs.LG), Machine Learning (stat.ML), Machine learning, neural networks, survival data, simulated data, missing data, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.AP]Statistics [stat]/Applications [stat.AP]

Subject Geographic: Bruxelles (BEL), Belgium

Availability: https://hal.science/hal-04384220
https://hal.science/hal-04384220v1/document
https://hal.science/hal-04384220v1/file/preprint_arxiv.pdf
https://doi.org/10.48550/arXiv.2303.13590

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Authors: Tarek A. Atwan

Resource Type: eBook.

Subjects: Python (Computer program language), Machine learning

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

Prediction of Positive Patient Health Questionnaire-2 Screening Using Area Deprivation Index in Primary Care.

Authors: Duarte, Martha Salamanca, Mayra Gonzalez, Juan M. et al.

Source: Clinical Nursing Research. Jun2024, Vol. 33 Issue 5, p355-369. 15p.

Subject Terms: *MENTAL depression risk factors, *RISK assessment, *PREDICTION models, *SOCIAL determinants of health, *RECEIVER operating characteristic curves, *QUESTIONNAIRES, *PRIMARY health care, *RETROSPECTIVE studies, *QUANTITATIVE research, *DESCRIPTIVE statistics, *NURSING interventions, *SURVEYS, *HEALTH behavior, *MEDICAL records, *ACQUISITION of data, *SOCIODEMOGRAPHIC factors, *MACHINE learning, *DATA analysis software, *ACCURACY, *COMPARATIVE studies, *SOCIAL classes, *SENSITIVITY & specificity (Statistics), *SOCIAL isolation, *ALGORITHMS, *REGRESSION analysis, *MENTAL depression, *EVALUATION

Geographic Terms: FLORIDA

Extended sample size calculations for evaluation of prediction models using a threshold for classification.

Authors: Whittle R Ensor J Archer L et al.

Source: BMC medical research methodology [BMC Med Res Methodol] 2025 Jul 01; Vol. 25 (1), pp. 170. Date of Electronic Publication: 2025 Jul 01.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE

MeSH Terms: Models, Statistical*, Sample Size ; Humans ; Predictive Value of Tests ; Risk Assessment/methods ; Sensitivity and Specificity ; Algorithms

CLM App: Interlamellar Distance of Pearlite via CLM Revisited and Automated.

Authors: Zouhar, Martin Mikmeková, Šárka Hovjacký, Jan et al.

Source: Materials (1996-1944); Feb2026, Vol. 19 Issue 3, p635, 17p

Python Programming Log Analysis Series.

Authors: Doskas, Constantinos

Source: ISSA Journal; Oct2021, Vol. 19 Issue 10, p20-23, 4p

Subject Terms: PYTHON programming language, SAWLOGS, RECORDS management, INFORMATION assurance, DATABASES, TEXT files

Unsupervised Voting for Detecting the Algorithmic Solving Strategy in Competitive Programming Solutions.

Authors: Stoica, Alexandru Stefan Babiceanu, Daniel Mihaescu, Marian Cristian et al.

Source: Mathematics (2227-7390); Nov2025, Vol. 13 Issue 22, p3589, 19p

Subject Terms: MACHINE learning, CLUSTERING algorithms, COMPUTER science, ALGORITHMS, SOURCE code