Results 1 to 10 of about 29,999,610 (319)
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics, 2021 This article describes three statistical models for natural language parsing. The models extend methods from probabilistic context-free grammars to lexicalized grammars, leading to approaches in which a parse tree is represented as the sequence of ...
Michael Collins
doaj +2 more sources
Bayesian statistics and modelling [PDF]
Nature Reviews Methods Primers, 2021 Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the ...
Mahlet G. Tadesse +12 more
openaire +4 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
GDP Forecasting: Machine Learning, Linear or Autoregression?
Frontiers in Artificial Intelligence, 2021 This paper compares the predictive power of different models to forecast the real U.S. GDP. Using quarterly data from 1976 to 2020, we find that the machine learning K-Nearest Neighbour (KNN) model captures the self-predictive ability of the U.S. GDP and
Giovanni Maccarrone +3 more
doaj +1 more source
Some Statistical Properties of Models of Transitory Earnings
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2021 The fact that most of the financial ratios are mean-reverting, is well known. Due to the importance of earnings forecast accuracy, relevant scientific literature in this area concentrates on transitory earnings.
Miroslava Vlčková, Tomáš Buus
doaj +1 more source
Improving risk prediction model quality in the critically ill: data linkage study
Health and Social Care Delivery Research, 2022 Background: A previous National Institute for Health and Care Research study [Harrison DA, Ferrando-Vivas P, Shahin J, Rowan KM. Ensuring comparisons of health-care providers are fair: development and validation of risk prediction models for critically ...
Paloma Ferrando-Vivas +17 more
doaj +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 +6 more sources
Statistical models of renewable energy intermittency [PDF]
E3S Web of Conferences, 2020 One of the big mitigating factors of intermittency is the smoothing effect of geographical distribution of variable renewable energy (VRE ) plants on the aggregate power output of VRE generation on a utility network.
Rakhmonov I U, Reymov K M
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
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Pre-trained language models have achieved human-level performance on many Machine Reading Comprehension (MRC) tasks, but it remains unclear whether these models truly understand language or answer questions by exploiting statistical biases in datasets ...
Jieyu Lin, Jiajie Zou, N. Ding
semanticscholar +1 more source