Results 11 to 20 of about 30,979,719 (362)
Active Learning with Statistical Models [PDF]
Neural Information Processing Systems, 1995 For many types of machine learning algorithms, one can compute the statistically `optimal' way to select training data. In this paper, we review how optimal data selection techniques have been used with feedforward neural networks.
Cohn, D. A. +2 more
core +11 more sources
Interactions in statistical models: Three things to know [PDF]
Methods in Ecology and Evolution, 2021 In ecological studies, the magnitude and direction of interactions among two continuous explanatory variables x1 and x2 are commonly evaluated by fitting a statistical model of the form y=β0+β1x1+β2x2+β3x1x2 , where x1x2 is an interaction term that ...
Richard P. Duncan, Ben J. Kefford
openalex +2 more sources
performance: An R Package for Assessment, Comparison and Testing of Statistical Models
Journal of Open Source Software, 2021 A crucial part of statistical analysis is evaluating a model's quality and fit, or performance. During analysis, especially with regression models, investigating the fit of models to data also often involves selecting the best fitting model amongst many ...
D. Lüdecke +4 more
semanticscholar +1 more source
see: An R Package for Visualizing Statistical Models
Journal of Open Source Software, 2021 The see package is embedded in the easystats ecosystem, a collection of R packages that operate in synergy to provide a consistent and intuitive syntax when working with statistical models in the R programming language (R Core Team, 2021). Most easystats
D. Lüdecke +5 more
semanticscholar +1 more source
pyhf: pure-Python implementation of HistFactory statistical models
Journal of Open Source Software, 2021 Statistical analysis of High Energy Physics (HEP) data relies on quantifying the compatibility of observed collision events with theoretical predictions.
Lukas Heinrich +3 more
semanticscholar +1 more source
Incident Analysis and Prediction of Safety Performance on Construction Sites
CivilEng, 2022 The hazardous nature of the construction environment and current incident statistics indicate a pressing need for safety performance improvement. One potential approach is the strategic analysis of leading indicators for measuring safety performance as ...
Ibukun Awolusi +3 more
doaj +1 more source
Manual for Theoretical Chemistry, 2021 Professor Chen Ning Yang has made seminal and influential contributions in many different areas in theoretical physics. This talk focuses on his contributions in statistical mechanics, a field in which Professor Yang has held a continual interest for ...
Uwe-Jens Wiese, Albert Einstein
semanticscholar +1 more source
Statistical models of fracture [PDF]
Advances in Physics, 2006 Disorder and long-range interactions are two of the key components that make material failure an interesting playfield for the application of statistical mechanics. The cornerstone in this respect has been lattice models of the fracture in which a network of elastic beams, bonds or electrical fuses with random failure thresholds are subject to an ...
Mikko J. Alava +2 more
openaire +5 more sources
Extracting, Computing and Exploring the Parameters of Statistical Models using R
Journal of Open Source Software, 2020 The recent growth of data science is partly fueled by the ever-growing amount of data and the joint important developments in statistical modeling, with new and powerful models and frameworks becoming accessible to users.
D. Lüdecke +3 more
semanticscholar +1 more source
BMC Medical Research Methodology, 2003 Background Cross-sectional studies with binary outcomes analyzed by logistic regression are frequent in the epidemiological literature. However, the odds ratio can importantly overestimate the prevalence ratio, the measure of choice in these studies ...
Hirakata Vânia N, Barros Aluísio JD
doaj +1 more source