搜索结果: 1-15 共查到“Statistical models”相关记录24条 . 查询时间(0.078 秒)
National Science Foundation-funded scientists developing more accurate statistical models of COVID-19（图）
National Science Foundation funded scientists developing accurate statistical models COVID-19
2020/5/9
Armed with a rapid response research grant from the National Science Foundation, University of Oregon biologist Stilianos Louca and his colleagues are mining public databases for genomi...
2018高维统计模型的贝叶斯计算研讨会（Workshop on Bayesian Computation for High-Dimensional Statistical Models）
2018 高维统计模型的贝叶斯计算 研讨会
2017/12/20
In recent years there has been an explosion of complex data-sets in areas as diverse as Bioinformatics, Ecology, Epidemiology, Finance, subsurface Geophysics, Meteorology, and Population genetics. In ...
Growth of science under the social influence in Arabic-Islamic and Western Civilisations,700-1900(Statistical Models)
History of science Science development Statistical model
2016/5/31
A population of breakthrough scientists is considered to trace the development of science in both old Arabic-Islamic and Western civilisations. A statistical method is used to trace variation in the s...
Head-Driven Statistical Models for Natural Language Parsing
Natural Language Parsing Statistical Models
2015/8/28
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 whi...
Punctuated equilibrium in statistical models of generalized coevolutionary resilience: How sudden ecosystem transitions can entrain both phenotype expression and Darwinian selection
coevolution cognitive paradigm gene expression information theory
2015/7/29
We argue, using a mathematical model based on asymptotic limit theorems of probability theory, that mesoscale ecosystem resilience shifts can entrain punctuated events of gene expression and other cog...
Worm Algorithms for Classical Statistical Models
High temperature expansion, monte carlo simulation, dynamic critical
2014/12/22
We show that high-temperature expansions provide a basis for the novel approach to efficient Monte Carlo simulations. “Worm” algorithms utilize the idea of updating closed-path configurations (produce...
Maximal Information Divergence from Statistical Models defined by Neural Networks
neural network exponential family Kullback-Leibler diver-gence multi-information
2013/4/27
We review recent results about the maximal values of the Kullback-Leibler information divergence from statistical models defined by neural networks, including naive Bayes models, restricted Boltzmann ...
Statistical Models for Long-range Forecasting of Southwest Monsoon Rainfall over India Using Step Wise Regression and Neural Network
Monsoon ISMR LRF Step-Wise Regression Neural-Networks
2013/2/26
The long-range forecasts (LRF) based on statistical methods for southwest monsoon rainfall over India (ISMR) has been issued by the India Meteorological Department (IMD) for more than 100 years. Many ...
Fault diagnosis and comparing risk for the steel coil manufacturing process using statistical models for binary data
Generalized linear models Generalized additive models ROC curve Bootstrapping
2012/4/22
Advanced statistical models can help industry to design more economical and rational investment plans. Fault detection and diagnosis is an important problem in continuous hot dip galvanizing. Increasi...
Estimation of high return period flood quantiles using additional non-systematic information with upper bounded statistical models
return period flood quantiles additional non-systematic information
2010/12/22
This paper proposes the estimation of high return period quantiles using upper bounded distribution functions with Systematic and additional Non-Systematic information. The aim of the developed method...
Perturbation of matrices and non-negative rank with a view toward statistical models
Euclidean topology Jacobian matrix mixture models
2010/10/19
In this paper we study how perturbing a matrix changes its non-negative rank. We show that the non-negative rank is upper-semicontinuos and we describe some special families of perturbations. We apply...
The application of statistical models in wear resistance simulations of Al-Al2O3 composites
Composites Infiltration Simulation Statistical models
2010/8/17
Currently, the most widespread use have found the composite materials with the light metals matrix, and especially from the aluminium alloys, reinforced with the ceramic particles or fibres that can b...
Longitudinal data analysis has become popular as one of statistical methods. In this paper we introduce four common statistical models for handling longitudinal data. First, we introduce what longitud...
Statistical models defined by sufficiency。
Consistency of statistical models described by families of reversed submartingales
Consistency of statistical models families of reversed submartingales
2009/9/22
A large number of statistical models is described by
a family of reversed submartingales converging to degenerated limits.
The problem under consideration is to estimate the maximum points
of the l...