Search Results - (( (statnen OR stat) python code analysis ) OR ( (statpoint OR stateeeeee) 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

Luminescence Signal Analysis Using Python

Authors: Vasilis Pagonis

Resource Type: eBook.

Subjects: Radiation dosimetry, Mathematical physics, Python (Computer program language), Quantum physics, Optical spectroscopy

Categories: SCIENCE / Life Sciences / Biophysics, COMPUTERS / Languages / Python, SCIENCE / Physics / Mathematical & Computational, SCIENCE / Physics / Quantum Theory, SCIENCE / Spectroscopy & Spectrum Analysis, TECHNOLOGY & ENGINEERING / Materials Science / General

Applied Time Series Analysis and Forecasting with Python

Authors: Changquan Huang Alla Petukhina

Resource Type: eBook.

Subjects: Python (Computer program language), Time-series analysis, Time-series analysis--Forecasting, Time-series analysis--Computer programs

Categories: MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python, COMPUTERS / Mathematical & Statistical Software

Time to antiviral treatment in mild-moderate COVID-19 in the emergency department: influence of prescribing physician and effect on outcomes.

Authors: Rodríguez-Leal CM González Del Castillo J Llorens P et al.

Corporate Authors: Rodríguez-Leal CM González Del Castillo J Llorens P et al.

Source: Internal and emergency medicine [Intern Emerg Med] 2026 Jan; Vol. 21 (1), pp. 219-229. Date of Electronic Publication: 2025 Apr 21.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: Italy NLM ID: 101263418 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1970-9366 (Electronic) Linking ISSN: 18280447 NLM ISO Abbreviation: Intern Emerg Med Subsets: MEDLINE; In Process

Py Code for Stats and Vis in Isotopic Evidence for Interseasonal Bioaccumulation of Perfluoroalkyl Substances (PFASs) in Icelandic seabirds

Authors: Shen, Rui Larsen, Thomas

Relation: https://zenodo.org/records/10120463; oai:zenodo.org:10120463; https://doi.org/10.5281/zenodo.10120463

Availability: https://doi.org/10.5281/zenodo.10120463
https://zenodo.org/records/10120463

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

Prediction of Chemically Modified Antimicrobial Peptides and Their Sub-functional Activities Using Hybrid Features.

Authors: Yao Y Zhang D Fan H et al.

Source: Probiotics and antimicrobial proteins [Probiotics Antimicrob Proteins] 2025 May 21. Date of Electronic Publication: 2025 May 21.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101484100 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1314 (Electronic) Linking ISSN: 18671306 NLM ISO Abbreviation: Probiotics Antimicrob Proteins Subsets: MEDLINE

Expert Python Programming – Fourth Edition : Master Python by Learning the Best Coding Practices and Advanced Programming Concepts

Authors: Michał Jaworski Tarek Ziade Tarek Ziadé

Resource Type: eBook.

Subjects: Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Software Development & Engineering / Systems Analysis & Design, COMPUTERS / Internet / Application Development

Data from: A strong test of the Maximum Entropy Theory of Ecology

Authors: Xiao, Xiao Aravajy, S. Baribault, Thomas W. et al.

Source: 10.5061/dryad.5fn46 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:figshare.com:article/4152633 ; 10.5061/dryad.5fn46/1 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|re3data_____::7980778c78fb4cf0fab13ce2159030dc ; 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 ; re3data_____::r3d100000044 ; 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c

Subject Terms: species abundance distribution, size distributions, trees, Life sciences, medicine and health care, Genetics, Evolutionary Biology, Ecology, Inorganic Chemistry, Science Policy, 69999 Biological Sciences not elsewhere classified, 19999 Mathematical Sciences not elsewhere classified, 29999 Physical Sciences not elsewhere classified, subset, data product, Python code, al, Xiao, Maximum Entropy Theory, analyses, dataset, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, envir, stat

Relation: http://dx.doi.org/10.5061/dryad.5fn46; https://dx.doi.org/10.5061/dryad.5fn46; https://figshare.com/articles/Data_from_A_strong_test_of_the_Maximum_Entropy_Theory_of_Ecology/4152633; http://dx.doi.org/10.5061/dryad.5fn46/1; https://dx.doi.org/10.5061/dryad.5fn46/1

Availability: https://doi.org/10.5061/dryad.5fn46
https://figshare.com/articles/Data_from_A_strong_test_of_the_Maximum_Entropy_Theory_of_Ecology/4152633
https://doi.org/10.5061/dryad.5fn46/1

Hands-On Image Processing with Python : Expert Techniques for Advanced Image Analysis and Effective Interpretation of Image Data

Authors: Sandipan Dey

Resource Type: eBook.

Subjects: Python (Computer program language), Image processing, Machine learning, Computer vision

Categories: COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Languages / Python

Primary data for BJC Carbonic anhydrase IX is a pH-stat that sets an acidic tumour extracellular pH in vivo

Authors: Griffiths, JR Lee, Shen-Han McIntyre, Dominick John et al.

Subject Terms: Carbonic anhydrase IX, Extracellular pH, Intracellular pH, ISUCA, Magnetic Resonance Spectroscopy, MRS, pH-stat, Tumour pH

File Description: jMRUI http://www.jmrui.eu/ python www.python.org Excel; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/octet-stream

Relation: https://www.repository.cam.ac.uk/handle/1810/361916; https://doi.org/10.17863/CAM.26029

Availability: https://www.repository.cam.ac.uk/handle/1810/361916
https://doi.org/10.17863/CAM.26029

Mastering Python : Write Powerful and Efficient Code Using the Full Range of Python's Capabilities

Authors: Rick van Hattem

Resource Type: eBook.

Subjects: Python (Computer program language)

Categories: COMPUTERS / Languages / Python

Testing Gaussian process with applications to super-resolution

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

Contributors: Azaïs, Jean-Marc de Castro, Yohann Mourareau, Stéphane 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, Gaussian processes, super-resolution, Mathematics - Statistics Theory, Kac-Rice formula, Statistics Theory (math.ST), 01 natural sciences, Parametric hypothesis testing, 94A08, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], 62J05, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], hypothesis testing, FOS: Mathematics, 62F03, 0101 mathematics, Gaussian process, [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, Image processing (compression, reconstruction, etc.) in information and communication theory, 62H10, 60G10, Mathematics - Probability

File Description: application/xml; application/pdf

Access URL: https://www.sciencedirect.com/science/article/am/pii/S1063520318301556
http://arxiv.org/abs/1706.00679
https://zbmath.org/7140143
https://doi.org/10.1016/j.acha.2018.07.001
https://inria.hal.science/hal-01686434v1/document
https://inria.hal.science/hal-01686434v1
https://hal.science/hal-04955851v1
https://doi.org/10.1016/j.acha.2018.07.001

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

Data Analysis Methods in Physical Oceanography : Fourth Edition

Authors: Richard E. Thomson William J. Emery

Resource Type: eBook.

Subjects: Oceanography--Research--Data processing, Oceanography--Observations--Data processing

Categories: SCIENCE / Environmental Science, SCIENCE / Research & Methodology

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

Subject Terms: AUTOMATION, IMAGE analysis, QUALITY control, MICROSTRUCTURE

Getting Started with Natural Language Processing

Authors: Ekaterina Kochmar

Resource Type: eBook.

Subjects: Natural language processing (Computer science), Python (Computer program language)

Categories: COMPUTERS / Artificial Intelligence / Natural Language Processing, COMPUTERS / Data Science / General, COMPUTERS / Languages / Python

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

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

Data from: A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

Authors: Ince, Robin A. A. Giordano, Bruno L. Kayser, Christoph et al.

Source: oai:easy.dans.knaw.nl:easy-dataset:92256 ; 10.5061/dryad.8b146 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:92256 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; re3data_____::r3d100000044 ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f ; 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c

Subject Terms: Life sciences, medicine and health care, face, EEG, multivariate, planar gradient, mutual information, meg, n170, statistics, neuroimaging, stat, psy

Relation: http://dx.doi.org/10.5061/dryad.8b146; https://dx.doi.org/10.5061/dryad.8b146

Availability: https://doi.org/10.5061/dryad.8b146