Search Results - (( (stavebneeeeeeeene OR stat) python code analysis ) OR ( skratene python code analysis ))

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

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

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

Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level.

Authors: Ehteram, Mohammad Ghanbari-Adivi, Elham

Source: Environmental Science & Pollution Research; Aug2023, Vol. 30 Issue 40, p92903-92921, 19p

Subject Terms: WATER table, STANDARD deviations, GROUNDWATER recharge, WATER rights

State of the interactomes: an evaluation of molecular networks for generating biological insights.

Authors: Wright, Sarah N Colton, Scott Schaffer, Leah V et al.

Source: Molecular Systems Biology; Jan2025, Vol. 21 Issue 1, p1-29, 29p

Subject Terms: SYSTEMS biology, LIFE sciences, REGULATOR genes, BIOLOGICAL systems, BIOLOGICAL networks

Statistics for Data Science and Analytics

Authors: Peter C. Bruce Peter Gedeck Janet Dobbins

Resource Type: eBook.

Subjects: Statistics, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General

Effects of a post-acute care management program on subsequent acute care utilization for hospitalized patients discharged to skilled nursing facilities.

Authors: Armstrong D Agovi AM Gehr AW et al.

Source: BMC health services research [BMC Health Serv Res] 2026 Jan 07. Date of Electronic Publication: 2026 Jan 07.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088677 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1472-6963 (Electronic) Linking ISSN: 14726963 NLM ISO Abbreviation: BMC Health Serv Res Subsets: MEDLINE

Python How-To : 63 Techniques to Improve Your Python Code

Authors: Yong Cui

Resource Type: eBook.

Subjects: Python (Computer program language), Computer programming, Video games--Programming

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Internet / Web Programming

Testing Gaussian process with applications to super-resolution

Authors: Jean-Marc Azaïs Yohann De Castro Stéphane Mourareau et al.

Contributors: Jean-Marc Azaïs Yohann De Castro Stéphane Mourareau et al.

Source: Applied and Computational Harmonic Analysis. 48:445-481

Subject Terms: FOS: Computer and information sciences, [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Computer Science - Information Theory, Mathematics - Statistics Theory, Kac-Rice formula, Statistics Theory (math.ST), 01 natural sciences, 94A08, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], 62J05, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], FOS: Mathematics, 62F03, 0101 mathematics, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], 62H15, secondary 60E05, Super-Resolution, Information Theory (cs.IT), Probability (math.PR), MSC 2010 subject classifications: Primary 62E15, Hypothesis Testing, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], 60G15, 62E15, 62F03, 60G15, 62H10, 62H15 (Primary) 60E05, 60G10, 62J05, 94A08 (secondary), [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT], Gaussian Process, 62H10, 60G10, Mathematics - Probability

File Description: application/pdf

Access URL: https://www.sciencedirect.com/science/article/am/pii/S1063520318301556
http://arxiv.org/abs/1706.00679
https://inria.hal.science/hal-01686434v1/document
https://inria.hal.science/hal-01686434v1
https://www.sciencedirect.com/science/article/pii/S1063520318301556
https://hal-upec-upem.archives-ouvertes.fr/hal-01686434v1
http://dblp.uni-trier.de/db/journals/corr/corr1706.html#AzaisCM17
https://hal.inria.fr/hal-01686434/document
https://arxiv.org/pdf/1706.00679.pdf
https://dblp.uni-trier.de/db/journals/corr/corr1706.html#AzaisCM17
https://hal.science/hal-04955851v1
https://doi.org/10.1016/j.acha.2018.07.001

"Good Night, Good Day, Good Luck": Applying Topic Modeling to Chat Reference Transcripts.

Authors: Ozeran, Megan Martin, Piper

Source: Information Technology & Libraries; Jun2019, Vol. 38 Issue 2, p59-67, 9p, 4 Charts

Subject Terms: ACADEMIC libraries, ALGORITHMS, INFORMATION retrieval, LIBRARY reference services, RESEARCH funding, TEXT messages, ACCESS to information, MEDICAL coding, STATISTICAL models

Geographic Terms: ILLINOIS

Fast Python : High Performance Techniques for Large Datasets

Authors: Tiago Antao

Resource Type: eBook.

Subjects: Python (Computer program language), Electronic data processing

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Software Development & Engineering / General

Generation of Scale-Free Assortative Networks via Newman Rewiring for Simulation of Diffusion Phenomena

Authors: Laura Di Lucchio Giovanni Modanese

Source: Stats, Vol 7, Iss 1, Pp 220-234 (2024)

Subject Terms: scale-free networks, assortative networks, network rewiring, agent-based models, Bass innovation diffusion model, Statistics, HA1-4737

File Description: electronic resource

Relation: https://www.mdpi.com/2571-905X/7/1/14; https://doaj.org/toc/2571-905X

Access URL: https://doaj.org/article/1ed58599ad2b446e8fba7bbd67fd64e7

Data Clustering with Python : From Theory to Implementation

Authors: Guojun Gan

Resource Type: eBook.

Subjects: Python (Computer program language), Cluster analysis

Categories: MATHEMATICS / Probability & Statistics / General

Numerical Python

Authors: Robert Johansson

Resource Type: eBook.

Subjects: Computer programming, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Probability & Statistics / General

Linear Regression With Python : A Tutorial Introduction to the Mathematics of Regression Analysis

Authors: James V Stone

Resource Type: eBook.

Categories: MATHEMATICS / Probability & Statistics / Regression Analysis, COMPUTERS / Languages / Python, MATHEMATICS / Probability & Statistics / General

Quantifying the nuclear localization of fluorescently tagged proteins.

Authors: Hurbain J Ten Wolde PR Swain PS

Source: Bioinformatics advances [Bioinform Adv] 2025 May 12; Vol. 5 (1), pp. vbaf114. Date of Electronic Publication: 2025 May 12 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2635-0041 (Electronic) Linking ISSN: 26350041 NLM ISO Abbreviation: Bioinform Adv Subsets: PubMed not MEDLINE

Text Analysis with Python: A Research Oriented Guide

Authors: Mamta, Mittal Gopi, Battineni Bhimavarapu, Usharani et al.

Resource Type: eBook.

Subjects: Programming languages (Electronic computers), Python (Computer program language), Text processing (Computer science)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Artificial Intelligence / General

Statistics Every Programmer Needs

Authors: Gary Sutton

Resource Type: eBook.

Categories: COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Languages / Python

TRIQS/SOM 2.0: Implementation of the stochastic optimization with consistent constraints for analytic continuation.

Authors: Krivenko, Igor Mishchenko, Andrey S.

Source: Computer Physics Communications. Nov2022, Vol. 280, pN.PAG-N.PAG. 1p.

Subject Terms: *PYTHON programming language, *GREEN'S functions, *MAXIMUM entropy method, *COVARIANCE matrices, *STATISTICAL ensembles, *PROGRAMMING languages, *REGULARIZATION parameter